Seasonal cruise Q3
Cruise Report
The Nansen Legacy Report Series 27/2022
Seasonal cruise Q3 2019
Cruise 2019706
RV Kronprins Haakon
Longyearbyen - Longyearbyen
August 5 - August 27, 2019
Authors:
Marit Reigstad
Tove Gabrielsen
Marti Amargant
Rita Amundsen
Bodil Bluhm
Yasemin Bodur
Jan Bremnes
Nadja Brun
Padmini Dalpadado
Kasia Dmoc
Bente Edvardsen
Jack Garnett
Christine Gawinski
Julia Giebichenstein
Ane Haarr
Siv Hoff
Eric Jorda
Konrad Karlsson
Stephen Kohler
Jon Leithe
Miriam Marquardt
Christian Morel
Oliver Müller
Håvard N. Liholt
Jan Vidar Nordstrand
Robynne Nowicki
Lasse Olsen
Griselda Anglada Ortiz
Ronald Pedersen
Nicolas Sanchez
Karoline Saubrekka
Arunima Sen
Leif Christian Stige
Angela Stippkugel
Anna Vader
Anette Wold
Fekadu Yadetie
To be cited as: Marit Reigstad, Tove Gabrielsen, Marti Amargant, Rita Amundsen, Bodil
Bluhm, Yasemin Bodur, Jan Bremnes, Nadja Brun, Padmini Dalpadado, Kasia Dmoc, Bente
Edvardsen, Jack Garnett, Christine Gawinski, Julia Giebichenstein, Ane Haarr, Siv Hoff, Eric
Jorda, Konrad Karlsson, Stephen Kohler, Jon Leithe, Miriam Marquardt, Christian Morel, Oliver
Müller, Håvard N. Liholt, Jan Vidar Nordstrand, Robynne Nowicki, Lasse Olsen, Griselda
Anglada Ortiz, Ronald Pedersen, Nicolas Sanchez, Karoline Saubrekka, Arunima Sen, Leif
Christian Stige, Angela Stippkugel, Anna Vader, Anette Wold, Fekadu Yadetie 2019: Seasonal
cruise Q3 2019: Cruise Report. The Nansen Legacy Report Series, 27/2022. DOI:
https://doi.org/10.7557/nlrs.6407
© The authors. This report is licensed under the Creative Commons Attribution 4.0
International license
ISSN 2703-7525
Publisher: Septentrio Academic Publishing, Tromsø, Norway
Summary ................................................................................................................................................. 4
Introduction .............................................................................................................................................. 4
SCIENTIFIC GOALS AND ACHIEVEMENTS ........................................................................................................................ 4
BRIEF DESCRIPTION OF THE ACTIVITY............................................................................................................................ 4
Along track measurements carried out during the cruise ........................................................................ 6
METEOROLOGICAL MEASUREMENTS FROM VAISALA AWS430 WEATHER STATION ............................................................... 6
THERMOSALINOGRAPH ............................................................................................................................................. 6
OCEAN CURRENT MEASUREMENTS FROM ADCP 150 KHZ............................................................................................... 6
PCO2 MEASUREMENTS ............................................................................................................................................ 6
ACOUSTICS MEASUREMENTS OF ZOOPLANKTON AND FISH WITH THE VESSEL´S EK80 ............................................................. 7
ACOUSTIC REGISTRATION OF FISH AND PLANKTON USING TS PROBE ................................................................................... 8
Glider deployments.................................................................................................................................. 8
Mooring deployments .............................................................................................................................. 8
Station-based work .................................................................................................................................. 9
NLEG stations ......................................................................................................................................... 9
T1-1.2 Hydrographic characterisation ........................................................................................................... 9
T1-2.2 Sea ice ............................................................................................................................................... 11
T2-1.1 Nutrients and DIC ............................................................................................................................. 11
T3-1.1 Characterisation of microbial communities...................................................................................... 11
Process stations .................................................................................................................................... 11
RESEARCH FOCI 1: PHYSICAL DRIVERS ........................................................................................................................ 11
RESEARCH FOCI 2: HUMAN DRIVERS ......................................................................................................................... 12
T2-1.1; 1.4. Current variability and drivers of ocean acidification (T2-1-1) and Ocean acidification effects on
planktonic calcifiers and biological pump efficiency (T2-1-4) ...................................................................... 12
T2-1.2. Ocean acidification effects on the mobility of particulate and dissolved organic carbon (POC, DOC),
essential trace elements (micro nutrients) and heavy metals ..................................................................... 13
T2-2.1. Effects of changes in species composition and distribution on contaminant in food web accumulation
..................................................................................................................................................................... 14
T2-2.3. Effects of oil and contaminants on northern Barents Sea ecosystem health. ................................. 16
T2-2.4. Using genomic and proteomic tools to identify responses to effects of pollutants on zooplankton
and fish. ....................................................................................................................................................... 17
T2-2.5. Critical seasonal windows of responses to multiple stressors on key organisms in a pelagic food chain
..................................................................................................................................................................... 20
T2-3.1. Climate change and fisheries: Spatial environmental variables and genomics ............................... 20
RESEARCH FOCI 3 – THE LIVING BARENTS SEA ............................................................................................................ 22
T3.1 and T3.4 Microbes: biodiversity, abundance, biomass, distribution and activity. ............................... 22
T3-1.1. Characterize biological phytoplankton/ protist communities and seasonality in terms of biodiversity,
abundance, biomass and distribution patterns ........................................................................................... 26
T3-1.1; 2.1. Mesozooplankton taxonomy, abundance, biomass and genomics .......................................... 27
T3-1.1; 2.1; 2.2; 4.2; 4.4. Characterize biological mesozooplankton communities and seasonality in terms of
biodiversity, abundance, biomass and distribution patterns (1.1), secondary production (2.1), trophic
ecology (4.2) and sympagic-pelagic-benthic coupling (4.4) ........................................................................ 29
T3-1.1; 2.1. Macrozooplankton ................................................................................................................... 29
T3-1.1; 1.2; 4.3; 4.4. Characterize and quantify biota in the seasonal ice zone (1.1), relate environmental
conditions to biological communities (1.2), and explore the sympagic-pelagic-benthic coupling and trophic
ecology of benthos (4.4) .............................................................................................................................. 31
T3-1.3 Stable isotopes, fatty acids & HBIs of POM, zooplankton & fish ...................................................... 38
T3-2.2. Measure how current environmental settings drive the phenology of primary and secondary
production, and test how changing conditions may affect these seasonal patterns .................................. 40
T3-3.1; 4.2. Estimate ranges of annual production along environmental and latitudinal gradients (3.1) and
Trophic ecology of key zooplankton (4.2) .................................................................................................... 42
2
T3-2.2; 4.4. Measure how current environmental settings drive the phenology of primary and secondary
production, and test how changing conditions may affect these seasonal patterns (2.2) and Sympagicpelagic-benthic coupling (4.4) ..................................................................................................................... 43
Sea ice work .......................................................................................................................................... 45
T1-2.2 Physical sea ice conditions ................................................................................................................ 47
T3-1; T3-4 Sea ice microbes: biodiversity, abundance, biomass, distribution and activity. ......................... 47
Transport and biogeochemical cycling of PFAS ........................................................................................... 49
Logistics ................................................................................................................................................. 50
TRANSPORT OF EQUIPMENT AND SAMPLES ................................................................................................................. 50
ON BOARD COMMUNICATION .................................................................................................................................. 51
STATION PROGRAMS .............................................................................................................................................. 51
WATER BUDGETS .................................................................................................................................................. 52
SAMPLE AND DATA MANAGEMENT FOR LEGACY ........................................................................................................... 52
COMMUNICATION AND OUTREACH ........................................................................................................................... 53
Appendix 1: Tables ................................................................................................................................ 54
TABLE A1.1 FULL STATION LIST WITH LOCATIONS AND SAMPLING GEAR (MODIFIED FROM CRUISE LOG) .................................. 54
TABLE A1.2. NANSEN LEGACY TRANSECT. FULL STATION LIST INCLUDING PROCESS STATIONS (P) AND TRANSECT CTD STATIONS
(NLEG)............................................................................................................................................................... 62
TABLE A1.3. CRUISE PARTICIPANTS (TEAM LEADERS IN BOLD) ........................................................................................ 63
TABLE A1.4. INTERNSHIP ON SEA ICE......................................................................................................................... 65
TABLE A1.5. WORKING HOURS AND CABIN DISTRIBUTIONS............................................................................................ 66
TABLE A1.6. LAB-USE DURING THE NANSEN LEGACY Q3 CRUISE .................................................................................... 67
Appendix 2: Blogs.................................................................................................................................. 69
Appendix 3 Datasets ............................................................................................................................. 70
SHIPMOUNTED DATASETS........................................................................................................................................ 70
DATASETS ............................................................................................................................................................ 71
GEAR ID WITH METADATA ...................................................................................................................................... 72
3
Summary
The Nansen Legacy Q3 cruise, 5-27 August 2019, initiated the seasonal investigations of the
Nansen Legacy transect. The transect represent an environmental gradient going through the
northern Barents Sea, and included 7 process stations (P1-P7) lasting 6-53 hrs. CTD stations
were taken to increase the hydrographic resolution on the transect. The work started at 76°N
at the open Atlantic Water dominated station P1, was sea ice covered from station P4 at 79°N,
and included deep water stations at 82°N at P7 in the Nansen Basin.
The program included measurements and sampling from the atmosphere, sea ice, ocean and
sea floor. Data collected ranged from physical observations, chemical, biological and
geological data collection, and the aim was to link observations and measurements to improve
our understanding of the systems involving both climate, human impacts and the ecosystems.
An important task was to understand interactions both within the ecosystem, but also linked to
the environment. Environmental descriptions linked to the Atlantic and Arctic shelf regimes and
the deep Arctic Basin, and how the environmental conditions relate to both present days and
potential future communities of organisms from virus and bacteria to fish, and their interactions
and production, was therefore a core activity.
Deployment of moorings and gliders extended the observational capacity in time and space,
outside the cruise period.
Introduction
Scientific goals and achievements
The RV Kronprins Haakon cruise Nansen Legacy seasonal Q3 (Q3= 3rd quarter of the year),
initiated the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. This
activity is a key milestone planned for the project.. The cruise addressed objectives of the
research foci in RF1 on Physical drivers, RF2 on Human drivers and RF3 on the living Barents
Sea, and collected necessary data along the Nansen Legacy transect in open waters and
within the ice. Experiments were an important component of the research to quantify
processes, rates and interactions that will also feed modeling work and projections in RF4.
The ongoing establishment of routines for sampling, data management and data storing
continued as part of the practical work onboard. The observational capacity was increased
also outside the cruise periods, through deployment of 2 gliders for RF1, and 3 moorings in
collaboration with RF1/2/3. Many of the cruise participants were new PhD and post docs, and
represent a new generation Arctic scientists. To document the research activity for a broader
communication of the research and results, a professional photographer has produced pictures
and videos during the cruise.
Brief description of the activity
RV Kronprins Haakon left Longyearbyen on 5 August, 2019, in the afternoon, with a science
team of 35 persons. The departure was delayed by ~1 day compared to the original plan due
to a leakage around one propeller causing an unplanned stay in dock. Cruise participants
without survival suit training carried out the necessary exercise close to the vessel in the harbor
of Longyearbyen while the vessel was loaded. A monitoring station outside Longyearbyen, IsA,
was sampled with one CTD to facilitate reference measurements prior to planned experiments
onboard, and also served two collaboration projects. West of Sørkapp, Glider 1 was deployed
to monitor the hydrographic structures in the Fram Strait across the AW inflow. Glider 2 was
deployed close to our first Process station, P1 (Figure 1), in the Hopen deep south of the Polar
Front at 76°N, on 7 August. This glider will patrol across the Polar Front between the Hopen
4
depth and the basin north west of Storbanken. Seven Process stations (P1-P7, Figure 1) was
planned investigated along the Nansen Legacy transect established in 2018. The first process
station (P1) was successfully finished on 9 August including experiments, after 37 hrs, as
planned. Between the P stations, smaller CTD stations (NLEG 1-25) was distributed to get a
higher resolution on hydrographical and biogeochemical parameters along the transect. The
sampling program was set on hold on 9-10 of August due to an unforeseen need for spare
parts necessary to go into the sea ice. These were brought to Hopen by helicopter and had to
be picked up there. The incident made it possible to supply a researcher with lost filters. The
window to get helicopter transport followed CTD problems caused by the combination of large
waves and a light Kevlar line that was damaged, and NLEG 2-3 could not be sampled. CTD
cable were fixed during transit to Hopen, but we had to proceed to P2 on Storbanken to catch
up timewise.
Figure 1. Station map for the Nansen
Legacy seasonal Q3 cruise. Process stations P1-P7, intermediate CTD stations (NLEG), and mooring
sites M1-M6 is shown. Moorings at M5 and M6 were deployed during the cruise.
The P2 station was sampled successfully on 11-12 August. A double mooring (M5) for physics
and bioacoustics were deployed east of the P2 station prior to the station work. Another
physical mooring (M6) was deployed further north, southeast of NLEG 6 to measure AW inflow
to Storbanken. Due to time lost with late departure and the detour to Hopen, the sampling
program at P3 was reduced to a 6 hrs biomass/ community sampling (including trawling),
biogeochemistry and hydrography station. No experiments or process measurements were
carried out. At Station P4 south of Kvitøya, we met the sea ice, but floes were relatively small,
and the station was sampled with the full open water sampling program including experiments,
on 13-15 August (30 hrs station). Trawling was carried out a few nautical miles south of the
station in more open waters. Transit time between stations increased with the sea ice, but we
kept about 5 knots and reached P5 north of Kvitøya on August 15. Ice floes were larger here,
but due to time constrains and expected better ice conditions on the two northernmost stations
no ice station was carried out here. Station P6 on the shelf break towards the Polar basin
started on 17 August. A sea ice training course was held on our way to the P6 station, to
prepare all participants for the work on and associated to the sea ice with respect to both
sampling and safety. Ice floes were 100 m to > km in size, 1 to 1.5 m thick, and suitable for
sea ice work. We completed a full ice station and open water program (except trawling). A sea
5
ice sampling program including ice cores, meltwater ponds and under-ice water was carried
out during the first evening, to utilize good weather conditions. Teams of experienced and
unexperienced scientists were composed to train a new generation of scientists in sea ice work
(Table A1.4). The ice station was followed by a full ocean sampling program on August 18-19.
A relatively soft sea ice cover of 1-1.5 m allowed efficient transit to the last process station P7,
including all NLEG stations. A similar program to P6 was carried out at P7. To increase the
number of observational sites and improve the datasets on sea ice and sea floor observations,
one additional ice floe (SICE4, Table A1.1) was selected for a reduced coring program,
including a deep CTD with water for standard parameters on 23 August, and 3 more box core
samples were taken. The SICE4 station was located at 82°N, 24.34 E, with a depth of 3600 m
(sea ice thickness ~1.5 m), to compensate for the slightly shallower box core sampling site at
P7 caused by drift from 3280 m to 2500 m during the station period. The CTD cable turned out
to be damaged around 3200 m (not known), so the CTD could not go to the sea floor. During
transect back, a mulitbeam survey was carried out in the slope region (80°N, 12°E). Glider 1
was recovered again by KPH outside Isfjorden up-on return, due to poor data quality.
Along track measurements carried out during the cruise
RV Kronprins Haakon is equipped with several underway measurement systems to provide
data along the cruise track.
Meteorological measurements from Vaisala AWS430 weather station
Air and sea temperature (8 m depth), air pressure, wind speed and direction, relative humidity
and solar radiation is measured continuously by a Vaisala AWS430 weather station.
Thermosalinograph
Temperature, salinity, density and fluorescence is measured from the clean water intake at 4
m depth, and continuously logged from departure Longyearbyen. The clean water intake is
sensitive to ice (filter get clogged) or water at freezing temperature (-1.7), so pumps shut down
in shorter periods (station NLEG 12, P5, …) for ice removal. The alternative inlet at 9 m depth,
is located in the sinking keel, that cannot be used in ice covered waters.
Ocean current measurements from ADCP 150 kHz
Currents in the upper ~500 m of the water column were continuously measured during the
cruise using a 150 kHz ADCP (RDI Instruments) mounted on the drop keel. The setup followed
the setup in the test cruise. The instrument was synchronized with the EK80 using K-sync. The
38 kHz ADCP was not used due to interference with the 38 kHz of the EK80. The ADCP data
was not processed during the cruise due to time constraints.
pCO2 measurements
Using the 4 m sea water inlet, a pCO2 underway system for autonomous high frequency
surface water measurements provide data on pCO2 in sea water and air, dissolved O2 and O2
saturation and sea water temperature during the entire cruise (Figure 2). Same water-intake
as thermosalinograph – and similar problems with ice at low temperatures.
6
Figure 2. The pCO2 underway measurements measures relevant parameters on CO2, temperature and
O2 from the 4 m sea water intake.
Acoustics measurements of zooplankton and fish with the vessel´s EK80
Acoustic surveying of fish and zooplankton was conducted using the six scientific Simrad EK80
echo sounders (18 kHz, 38 kHz, 70 kHz, 120 kHz, 200 kHz, 333 kHz split beam systems), all
mounted on the drop keel. When going in sea ice the keel was retracted and the data collection
were conducted with similar systems mounted in the Arctic tanks. The EK80 was operated in
CW modus. Data were stored down to 1000 m depth, although electrical noise during transit
prevented high-quality data below about 600 m depth.
Multi-frequency scrutinization and target strength analysis was conducted for the 38kHz data
using Korona allocating NASC into the category’s capelin, plankton, cod, herring, and others.
The map below shows where scrutinized data were obtained (Figure 3).
Figure 3. Cruise track illustrating where density estimation of several fish species and plankton has
been obtained based on scrutinized 38 kHz data from EK80 and target strength analysis during the Q3
cruise 6-26 August 2019.
7
Acoustic registration of fish and plankton using TS probe
Detailed inspections at short range of interesting acoustic layers were made with an acoustic
probe lowered in the water column. The specially designed probe has full wideband capacity
and carries 4 EK80 echo sounders with 5 selectable transducers at 38,70, 120, 200 and 333
kHz. The probe was used in vertical mode, for target strength measurements of specific
organisms. Target strength values are needed for several of the Arctic fish and zooplankton
species to allow for accurate density estimation from the vessels-based systems. The probe
was lowered from surface to the bottom (max 1000 m depth) at about 1 ms-1. Full multifrequency echograms were recorded during the profile. The TS probe was run on five stations.
Glider deployments
During the transit from Longyearbyen to the Nansen Legacy transect (Figure 1), 2 gliders was
deployed for RF1 and Ilker Fer (UiB) to measure the hydrographic characteristics across the
Atlantic Water inflow in the west Spitsbergen current, and across the Polar front, west of the
Nansen Legacy transect. Glider 1 (SG560) was deployed west of Sørkapp on 6 August 2019
(Table 1). Glider 2 (SGF561) was deployed close to station P1, on 7 August, 2019.
Table 1. Overview of Glider deployments during Nansen Legacy Q3 seasonal cruise, August 2019.
Date
06.08.2019
Time
(UTC)
09:54
Glider
ID
SG560
Glider
name
Glider 1
07.08.2019
13:42
SGF561
Glider 2
Latitude
Longitude
76° 24.994263
N
76° 00.310775
N
13° 54.281974
E
31° 02.073206
E
Depth
(m)
1050
327
Both Gliders were successfully deployed, with reports of successful dives in the days after
deployment. After a couple of weeks, Glider 1 failed, with poor data quality, and some days
later also Glider 2 failed, due to problems of performance. Glider 2 was collected by KV
Andenes, and Glider 1 was retrieved outside Isfjorden at the end of the cruise by KPH.
Mooring deployments
Three moorings were deployed during the survey. To study seasonal variability in temperature,
salinity, currents and pH under Arctic conditions, one mooring containing a Signature 250 i 135
m depth, a Seabird SBE 37-SM Microcat in 133 m depth, a Signature 250 in 92 m, a Seabird
SBE 37- SMP SeaPHox in 72 m depth, and with top buoy in 70 m depth, were deployed at 77°
04.516N, 35° 02.168E (southern part of Great Bank). To also study seasonal variations in
zooplankton and fish appearance, another mooring containing a Signature 100 in 136 m depth
were deployed close to the first mooring (at 77° 04.947, 35° 03.487 E). Both mooring locations
are within a region closed for fishery.
A third mooring were deployed in the northern part of the Great Bank to study inflow of Atlantic
Water on the bank. The location (78o20.868N, 34o45.744E) were chosen based on maps on
fishery activity. The mooring contains a Nortek Continental in 230 m depth, a Seabird SBE 37SM Microcat in 177 m depth, a Nortek Continental in 128 m depth, and have a top buoy in 76
m depth.
8
Station-based work
The Nansen Legacy transect (Fig. 1) provides a climatic gradient from the southern Atlantic
influenced region of the Barents Sea (P1) across the more Arctic influenced northern shelf (P2P5), and into the Arctic Basin (P7). The northern branch of the Atlantic Water Current into the
Arctic Basin along the shelf break, is covered by the shelf break station (P6). This transect
may also represent a space-for-time gradient. On a seasonal time-scale, ice-free waters in the
south can reflect a later seasonal stage compared to the ice-covered regions in the north were
sea-ice cover may delay the productive onset in the water column. At the same time, this may
be compensated by an early ice algal production. On a longer timescale, the climatic conditions
in the Barents Sea is strongly impacted by the warm and saline Atlantic Water inflow. With
increased and extended Atlantic impact further north, an “atlantification”, characteristics of the
southern end of the transect may represent elements of future conditions in the north.
NLEG stations
T1-1.2 Hydrographic characterisation
Tove Gabrielsen (UNIS/UiA), Marit Reigstad (UiT), PIs: Randi Ingvaldsen (IMR), Arild
Sundfjord (NPI)
To increase the observational resolution along the transect, 18 additional CTD stations
(NLEG1-25) reduce the gaps between the process stations (P1-P7). The overview of NLEG
and P-stations are given in Table A1.2. A reduced biogeochemical sampling program was
carried out on the NLEG stations.
All NLEG stations, with the exception of NLEG 2 and NLEG3 across the Polar Front, were
covered in full depth with CTD, with T, S, O2, fluorescence and LADCP. The hydrographic
characterization along the transect with respect to temperature, salinity and fluorescence, is
shown in Figure 4. The watermass characteristics for the different P-stations, are illustrated in
Figure 5.
9
▼
▼
▼
▼
▼
▼
▼
Figure 4. Temperature, salinity and fluorescence along the Nansen Legacy transect from 76 to 82°N in
August 2019. The process stations P1-P7 (P1 to the south and right) are marked with black triangles on
the upper figure. Data from 0-500 m is plotted here, but the full water column down to > 3000 m was
sampled north of the shelf break.
P1
P
P
P
P
P
P
Figure 5. Temperature-salinity plot (TS diagram) illustrating the difference in water masses on the
different process stations P1-P7, with reduced salinity and temperature moving northwards. Station P6
10
is located on the shelf break where the AW branch north of Svalbard goes. Colors correspond to station
colors on the map (left).
Sensor deviations during the survey: Primary temperature sensor serial number 5647 was
occasionally spiking from Local station 189, and got worse. Changed to sensor s/n 6298 from
Local station 192. These correspond to 2-4 of in total 4 CTD casts at P7.
Too high values from O2 sensors on some of the stations.
T1-2.2 Sea ice
Jon Leite (NPI), Leif Christian Stige (UiO), Tove M. Gabrielsen (UNIS/UiA), Marit Reigstad
(UiT), Padmini Dalpadado (IMR), Anna Vader (UNIS), PI: Sebastian Gerland (NPI)
Sea ice observations were carried out according to the recommendations from the Ice Watch
Program. The sea ice conditions, characteristics and weather were registered every 6th hour
from the bridge accompanied with photos. Data are uploaded and available at
https://icewatch.met.no.
T2-1.1 Nutrients and DIC
Griselda Ortiz (CAGE-UiT), PI: Melissa Chierici, (IMR)
Nutrients and DIC was sampled at all NLEG stations. A total number of 225 water samples
from the Niskin bottles have been collected in order to study each chemical parameter at 20
different stations at all standard depths. The sampling and chemical treatment (60 µm of
mercuric chloride at the DIC/Alk samples and 200 µm of chloroform at the nutrients samples)
were done following the protocol from the Nansen Legacy v4. All the samples were stored in
the dark at 4-6° and sent to Institute of Marine Research (Melissa Chierici) and Norwegian
Polar Institute (Agneta Fransson) for further analysis.
T3-1.1 Characterisation of microbial communities
Oliver Müller and Lasse Olsen, (UiB), PI: Bente Edvardsen (UiO)
Flow Cytometry samples were taken for the standard depths at ten of the NLEG stations (in
addition to the P-stations) to quantify the abundance of bacteria, virus, pico- and nanoplankton
by flow cytometry. The NLEG stations sampled were NLEG5, NLEG6, NLEG8, NLEG9,
NLEG10, NLEG12, NLEG14, NLEG15, NLEG19, NLEG23, NLEG24.
Process stations
Research foci 1: Physical drivers
Atmospheric data were collected launching a radiosonde balloon at noon at all P stations.
Ocean currents in the upper ~500 m of the water column were continuously measured, also
during the P stations, using a 150 kHz ADCP (RDI Instruments) mounted on the drop keel.
The setup followed the setup in the test cruise. The instrument was synchronized with the
EK80 using K-sync. The 38 kHz ADCP was not used due to interference with the 38 kHz of
the EK80. The ADCP data was not processed during the cruise due to time constraints.
An LADCP mounted on rosette were run on some selected stations. Problems with logging
and downloading of data on P3 to P4 (Local stations 161-169), but worked again from NLEG12
(Local station 170) (Table A1.1). Problems were caused by a defect cable. CTD were operated
from the side of the vessel from the start and including P1 (Local station 151). The remaining
cruise from P2 (Local station 154) we had to operate the CTD rosette from the moonpool,
11
missing the upper 10 m. Compensating CTD casts using an SAIV sonde from UNIS from the
side provided surface measurements. Technical problems with the main hydrography winch
with wire (W03) required use of an alternative winch (W04) with Kevlar Cable from the side.
This light weighted cable was damaged during use in waves, and we were forced to use the
moonpool as a suboptimal but functional solution.
Sea ice observations supporting research in RF1, is included in a separate section on Sea Ice
together with the chemical and biological parameters.
Research Foci 2: Human drivers
T2-1.1; 1.4. Current variability and drivers of ocean acidification (T2-1-1) and Ocean
acidification effects on planktonic calcifiers and biological pump efficiency (T2-1-4)
Griselda Anglada-Ortiz (CAGE-UiT), PIs: Melissa Chierici (IMR), Tine Rasmussen (UiT)
To better understand the effects of ocean acidification on the Barents Sea, the abundance and
carbonate contribution of different planktonic marine calcifiers (foraminifera, pteropods and
coccolithophores) will be studied from 64 um multinet samples (foraminifera and pteropods)
and water samples (coccolithophores) regarding the water chemistry (nutrients, δ18O and
DIC/Alkalinity) from the sampling zone.
A total number of 108 samples have been retrieved on 6 of the P stations to study these marine
calcifiers (Table 2). On one hand, 52 samples have been collected using the 64 um multinet
on the P stations at the standard depths 300-200m, 200-150m, 150-100m, 100-50m and 500m. Once on deck, a maximum of 120 specimens (60 foraminifera and 60 pteropods) have
been picked from the 3 shallowest depths every 3 stations and freeze them individually at -80°
C for protein extraction analysis. The rest of the samples have been stored on plastic bags
and preserved at -20° C for further analysis on shore.
On the other hand, 28 samples coming from the P stations and different depths have been
collected from the Niskin bottles. A total volume of 5 L was sampled at the different depths
(200 m, 120 m, 50 m, chl max depth and 10 m) and filtered through a 0,45 um Acetate cellulose
filter (volume= 2L) and 0,4 um Polycarbonate filter (volume= 3L). Once the samples have been
filtered, the filters have been rinsed with distilled water buffered with ammonia and oven dried
on the petridish at 60° C for at least 1 hour.
Once we are back, these samples will be analysed at CAGE-UiT (Tromsø) through [1]
comparing the living species distribution with the pre-industrial distribution (from core samples
retrieved during the Nansen Legacy cruise last September); [2] investigating the state of the
shell of the living organisms regarding the carbonate chemistry of the water; [3] determining
the dissolution index and [4] assessing the carbon fluxes generated by these living planktic
marine calcifiers.
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Table 2. Station overview of the water chemistry samples, and calcifying organisms collected.
Station
name
IsA st
P1
P2
NLEG5
NLEG6
P3
NLEG8
NLEG9
P4
NLEG12
P5
NLEG14
NLEG15
NLEG19
P6
NLEG23
NLEG24
P7
Niskin
DIC/ALK
Niskin
δ18O
Niskin
Nutrients
Niskin Coccolitophores
Multinet 64 um Foraminifera and pteropods
* picking
* picking
*failed
picking
specimens)
(too
few
SICE4
T2-1.2. Ocean acidification effects on the mobility of particulate and dissolved organic
carbon (POC, DOC), essential trace elements (micro nutrients) and heavy metals
Stephen Kohler and Nicolas Sanchez (NTNU), PI: Murat V. Ardelan (NTNU)
Objective: The purpose of this task is to understand the impact of ocean acidification on the
biogeochemistry (cycling and mobility) of dissolved organic carbon (DOC) and trace elements
in the water column of the Northern Barents Sea. To best explore this topic, a complete survey
of trace elements and heavy metals needs to be sampled along the entire transect and at
various depths under clean sampling and handling conditions. In addition, the characterization
of dissolved organic matter (DOM, DOC), at each station at select depths will aid in
understanding the different forms and distributions of DOM and how they may interact with
trace elements. As the solubility of trace metals, both essential and toxic, are dependent on its
interaction with DOM, the distribution and type of both trace metals and DOM was surveyed.
Trace elements (micronutrients): Both total (n= 56) and dissolved (n= 56) trace elements,
were successfully sampled at all process stations (P1-P7) at eight depths up to 15 m above
the seabed or up to 500m with GO FLO bottles with clean sampling and handling techniques.
Replicate samples were collected at certain stations
Heavy metals (Hg): Separately, samples for both total mercury (n=56) and methylmercury
(n=56) were also collected at all process stations (P1-P7) at eight sampling depths up to 500m
with GO FLO bottles using clean sampling and handling techniques. At stations P6 and P7,
samples for total mercury and methylmercury were also collected from the deeper depths
(>500m) from the CTD rosette with bottles to complete the profile. Replicate samples were
collected at P1, P4, and P7. To compare the clean sampling technique to the CTD, samples
were collected from the CTD at P7 at the same depth as one of the GO FLO depths. We hope
to share mercury data with RF2, T2-2, and RF3, T3-4.1.
Dissolved organic matter (DOM) characterization: Samples were collected for depths
labeled surface (10 m), middle, and deep, dependent on local station bottom depth. All process
stations (P1-P7) were sampled and collected from GO FLO bottles, with the exception of P6
and P7 deep samples collected from the CTD rosette. TOC, and ancillary POC measurements
were collected from all samples, and DOC quantitation samples were taken at P1, P4, and P7.
Two additional casts were made at P1 and P4 to serve as replicates for surface and deep
13
samples. P7 replicates were sampled simultaneously for surface (two GO FLOs attached
together) and deep (two CTD bottles). All samples were subsequently collected, filtered, and
extracted for DOM.
Ice work: Two ice cores were collected for trace elements at P6 ICE and P7 ICE. Cores were
collected whole, and then cut and processed onboard according to AeN protocol.
Two ice cores were collected for Hg at P6 ICE and P7 ICE. Cores were collected whole, and
then cut and processed onboard. At P6 ICE, 1 meltpond was sampled for total mercury, and
at P7 ICE, 3 meltponds were sampled for total mercury.
1 ice core was collected for DOM at P6 ICE and kept frozen onboard. The core will be
transported frozen back to NTNU for processing. At P6 ICE, 1 meltpond was sampled for DOM,
filtered, and extracted.
Sediment sampling: At all process stations (P1-P7), with the exception of P3, samples of
surface sediments were collected by the benthos group (UiT – Nord) for trace element analysis
by sequential sediment extraction.
T2-2.1. Effects of changes in species composition and distribution on contaminant in
food web accumulation
Julia Giebichenstein (UiO), Rita Amundsen (UiO), Ane Haarr (UiO), Håvard Nilsen Liholt (UiO),
Robynne Nowicki (UNIS), PI: Katrine Borgå (UiO)
Purpose: As changes in temperature and sea ice distribution and thickness are expected in
the Barents Sea, the energy transfer processes in the food web are expected to change. The
present study aims at identifying and comparing bioaccumulation and biomagnification
processes of legacy and emerging contaminants (e.g. persistent organic pollutants and
mercury) related to energy use and availability between an Atlantic-influenced and an Arctic
marine pelagic food web in the Barents Sea throughout the year. Zooplankton and fish samples
will be collected during the process study cruises. From these, chemicals representing lipid
soluble and protein associated contaminants will be analyzed, in addition to dietary descriptors
to trace energy source (stable isotopes and lipid analyses). Model predictions of climate
change effect on food web accumulation of contaminants include reduced accumulation due
to predicted reduction in lipid storage. Bioaccumulation changes due to altered dietary
composition is predicted to have less influence than the predicted lower lipid content. These
predictions will be tested in the present task.
Approach: During this cruise we have collected water, zooplankton and fish samples for
legacy and emerging contaminants, mercury, stable isotope and fatty acid analyses. Doreen
Kohlbach (NPI) will analyze the fatty acid samples and the stable isotope samples will be
analyzed at UiO. We hope to share mercury data with T2-1.2 and PFAS data with Jack Garnett
from Lancaster University.
Water samples for legacy persistent organic pollutant (POP) analyses were collected with an
in-situ filtration pump (see Figure 6) at the process stations P2, P4, P6 and P7. To compare
the
14
influence of warmer, more saline Atlantic water on contaminant
levels with the cold, fresher Arctic water we tried to target both
water masses, if applicable. In addition, we took water samples
from the CTD rosette in triplicates for PFAS analyses at P1-2,
5-7.
Figure 6. In-situ filtration pump
Meso- and macrozooplankton samples of key food web species were collected at each
process station, except P3. Mesozooplankton (primarily Copepod stages CIV and CV) were
sampled with either WP3 or Bongo Nets. Macrozooplankton (mainly euphasiids, amphipods
and chaetognaths) samples were collected from the MIK net or from the macrozooplankton
trawl (see Figure 7 for an example from the MIK net). Deep and shallow nets were taken at P6
and P7 to target species from both water masses (see Macrozooplankton part – RF3 in this
report for further information on species composition at the different process stations). All
zooplankton samples were sorted and grouped by family and by species if possible. Samples
for contaminants were handled as little as possible to avoid cross-contamination. We sampled
for POPs, mercury, stable isotope and fatty acid analyses.
Figure 7. Zooplankton sample from P7 (left),
and Polar cod (Boroegadus saida) caught at
P4 (right).
Fish tissue and whole fish were sampled for POPs, mercury, stable isotope and fatty acid
analyses at P1-P4. The stomach was frozen for microplastic analyses and otoliths for age
determination were dissected. The target species relevant to the pelagic Barents Sea food
web included Polar cod (Boreogadus saida), Atlantic cod (Gadus morhua) and Capelin
(Mallotus villosus) and were below 25 cm in total length (see Table 3). Other dominant fish
species (like Sebastes spp. at P1) were sampled opportunistically and frozen whole. (see part
T2-3-1 in this report for detailed information on the trawls).
Table 3. Overview of the number of sampled fishes at the process stations.
15
Process station
P1
P1 vicinity
P2
P3
P4
Total
Atlantic cod (Gadus morhua)
9
-
-
-
-
9
Polar cod (Boreogadus saida)
11
-
15
10
17
5
Capelin (Mallotus villosus)
10
55
-
-
-
65
Part of the sampled fishes were shared with subtasks 2-3.1, 2-2.3, 2-2.4 and 2-2.5 for genomic
and further ecotoxicological analyses.
T2-2.3. Effects of oil and contaminants on northern Barents Sea ecosystem health.
Ane Haarr and Håvard Liland (UiO), PI: Ketil Hylland (UiO)
The purpose of this work is to quantify levels of DNA damage (measured in fresh blood) and
concentration of PAH metabolites (measured in bile) in individual fish from different species
residing in the northern Barents Sea. The Atlantic cod Gadus morhua, atlantic capelin Mallotus
villosus, polar cod Boreogadus saida, and American plaice Hippoglossoides platessoides, are
abundant fish species in the northern Barents Sea, representing different ecological niches
and trophic levels and are important both ecologically and commercially.
Polyaromatic hydrocarbons (PAHs) are organic contaminants of petrogenic or pyrogenic
origin, meaning that they are associated with petroleum products or formed by incomplete
combustion of organic material. Some PAHs are well known carcinogens, such as
benzo(a)pyrene, while some are less well known. Most vertebrates are quite efficient in
metabolizing and detoxifying PAHs, so its metabolites are therefore often measured in the bile
and used as an indicator of PAH exposure. Laboratory experiments have shown the
association between PAH exposure and DNA damage, and various methods can be used to
quantify damage to the genome. The Comet assay is a relatively quick, easy and inexpensive
method to assess single or double stranded breaks in the DNA, which can result from exposure
to contaminants and other types of stressors. Even though causal relationships are difficult to
assess from field studies, it is still important to monitor contaminant concentrations and levels
of DNA damage to assess species-specific differences in exposure, baseline activity and
sensitivity, especially in a rapidly changing Arctic environment.
During this cruise, 30 individuals of each fish species were collected across stations P1-P4
using pelagic and benthic (with and without fish lift) trawls. No trawls were conducted north of
P4 due to the ice conditions. Opportunistic sampling of the Arctic amphipod Themisto sp. for
quantification of DNA strand breaks was also a part of the initial plan, but this species was only
caught in abundance at P2, and was not available for this purpose. For all sampled fish,
biometric data were recorded, and some individuals were shared between the other groups.
For shared fish, different types of tissues were taken for various purposes: stomach for the
analysis of microplastics, muscle samples for POPs, mercury, fatty acids, and stable isotopes
(Julia Giebichenstein, T2-2.1); spleen and fin clip for genomic analysis as well as assessments
of age and maturation stage (Siv Hoff and Leif Christian Stige, T2-3.1); and liver slices for
experimental exposure studies (Nadja Brun and Fecadu Yadtetie, T2-2.4). At P1, Atlantic cod
were abundant in the first benthic trawl. 29 individuals of various size classes (approximately
one third small, medium, and large individuals) were sampled. Eight individuals of polar cod
were sampled, but the fish were in bad condition after the trawling (without fish lift), and blood
samples may be affected by this. As there was an echosignal between P1 and P2, a pelagic
trawl was conducted, and 30 individuals of capelin were sampled for blood and bile. Bile
samples are not complete for all individuals, as the gall bladder sometimes was empty or
difficult to locate in the small capelin. Additional polar cod were caught with benthic trawls (with
fish lift) at the rest of the stations (up to station P4) and the fish could be kept alive in the fish
tanks prior to sampling. After the sample size was complete (30 individuals), an additional 20
16
individuals were sampled to assess different methods for preservation of blood. The
cryopreservation method in the protocol include gradual freezing of blood samples mixed with
a cryosolution, and thus, 10 blood samples were frozen directly at -80°C without cryosolution,
and 10 blood samples were snap frozen in liquid nitrogen and stored at -80°C.
T2-2.4. Using genomic and proteomic tools to identify responses to effects of pollutants
on zooplankton and fish.
Fekadu Yadetie (UiB) and Nadja Brun (Woods Hole Oceanographic Institution, USA), PI:
Anders Goksøyr (UiB).
The Arctic region is susceptible to pollution from expanding petroleum related activities as well
as from long range transport of pollutants deposited in the polar region. Seasonal and climate
changes may dictate high lipid content and its mobilization which can influence pollutant
bioaccumulation, bioavailability, and effects in Arctic organisms. Despite the unique energy
and pollutant dynamics, toxicological data on the arctic species is sparse. The aim of this subtask is to map toxicogenomic responses in arctic fish and zooplankton (Calanus).
Fish: The focus on this cruise was to sample key Arctic fish species, and culture liver slices to
perform exposure studies to the oil related PAH compound benzo[a]pyrene (BaP). Four
species, Atlantic cod (Gadus morhua), capelin (Mallotus villosus), Polar cod (Boreogadus
saida) and American plaice (Hippoglossoides platessoides) were sampled from the process
stations P1, P2 and P3 and seven exposure experiments (each with 6 replicates per group,
with 4 exposure groups) were performed. Samples collected and frozen were: liver or whole
fish for possible chemical analysis (Table 4), liver slices for RNA (transcriptomics) and
proteomics and/or enzyme assay (e.g. EROD) (Table 5). Slices were also collected for viability
and possible vitellogenin assays for each species. Media samples from each liver slice
experiments were collected for viability assay and frozen. All tissue samples were snap-frozen
in liquid N2 and stored at –80 °C. Although further chemical exposure experiments were
planned after station P4 with polar cod kept alive in fish tanker, this could not be performed
because the fish were accidentally exposed warmer water in the tanker and died. Biometric
data (total length, fish weight, liver weight, sex) on most of the fish we sampled were shared
with other sub-tasks in RF2: T2-2.1, T2-2.2, and T2-2.3.
Calanus: In process stations P6 and P7, key copepod species Calanus finnmarchicus, C.
hyperboreus and C. glacialis were sampled and exposed to the PAH compounds
Phenanthrene (Phe) and BaP. These experiments were planned and performed in
collaboration with the Ecotox groups (sub-tasks T2-2.2 and 2-2.3) at UiO (Julia Giebichenstein)
and Kasia Dmoch. After a range finding experiment with increasing doses of Phe and BaP
(using Calanus finnmarchicus), a single dose was selected, and exposure experiments were
performed for each of the three Calanus species (Table 6). The animals were collected and
snap-frozen in liquid N2 and stored at –80 °C. RNA will be extracted and extracted and
toxicogenomic responses will be studied and compared using RNA-seq at UiB.
In both fish and Calanus experiments, we expect to characterize global gene expression
fingerprints in response to the PAHs in these species which may give us information on
mechanisms, comparative susceptibilities, and possible future expression biomarkers.
Table 4. Fish tissue sampled at different stations.
Process
station
P1
Trawl
type
Species
sampled
Bottom
Atlantic
cod
Number
of fish
6
Sex
Processing
Male
PCLS culture
and
BaP
exposure
Samples
collected
Slices for
RNA and
protein
extraction
Comments
4 concentration
groups (6 fish
replicates
(paired design).
17
72h exposure,
10 °C.
P1
vicinity
P2
P2
P3
P3 (from
tank)
P3 (from
tank)
Pelagic
Capelin
Bottom
American
plaice
Pelagic
Bottom
Bottom
Bottom
Capelin
Polar cod
Polar cod
Polar cod
24
6
25
6
6
6
Male
and
female
Manual
slicing and
culture, 1
liver/well.
BaP
exposure
Female
PCLS culture
and
BaP
exposure
Male
and
female
Manual
slicing of
pooled livers,
BaP
exposure
Male
PCLS culture
and
BaP
exposure
Female
PCLS culture
and
BaP
exposure
Female
PCLS culture
and
BaP+ EE2
exposure
Slices for
RNA,
protein
extraction
and
viability
(ATP)
assay.
Slices for
RNA,
protein
extraction
and
viability
(ATP)
assay.
Slices for
RNA,
protein
extraction
Slices for
RNA,
protein
extraction
and
viability
(ATP)
assay
Slices for
RNA,
protein
extraction
Slices for
RNA or
protein
extraction
and
viability
(ATP)
assay
Manually
sliced, 6
replicates/per
group, 1 fish
liver per well.
72 h exposure
at 10 °C.
72 h exposure
at 10 °C.
Manually
sliced, 6
replicates wells
per group. 48h
exposure at 6
°C.
72 h exposure
at 6 °C.
72 h exposure
at 6 °C.
To test mixture
(BaP and EE2).
Test for antiestrogenic
effects of BaP.
72 h exposure
at 6 °C.
18
Table 5. Summary of liver slice exposure experiments
Process
station
Trawl
type
Species
sampled
Number
of fish
Sex
P1
Bottom
Atlantic
cod
7
Male
and
female
P1
Bottom
American
plaice
(AP)
P1
vicinity
Pelagic
capelin
P2
P3
4
10
Samples
collected
Piece of
liver (ca. 1g
and 5g)
frozen
Comments
All cod have intestinal
parasites
Female
Piece of
liver (ca.
5g) frozen
All AP have intestinal
parasites, and all appear
females. Most have
discolored, neoplastic like
liver
Male
and
female
10 whole
capelin
frozen
For possible chemical
analysis
Bottom
American
plaice
13
Female
Piece of
liver (ca.
5g) frozen
Most of the AP livers have
discoloration (at least partly)
and many seem to have
neoplasms/cancer (pictures
taken). All AP have intestinal
parasites. AP seem all
female
Bottom
Polar cod
20
Male
and
female
Whole
livers
frozen
For possible chemical
analysis
Table 6. Calanus samples and PAH exposure experiments.
Statio
n
Gear
type
P6
MIK
Species
sampled
Number
of
animals
300-350
Stag
e
Processing
Samples
collected
Comments
CV
Live animals
collected and
frozen for
RNA
extraction.
72h
exposure at
3.5 °C.
120-150
CV
Live animals
collected and
frozen for
RNA
extraction.
72h
exposure at
0.5 °C.
200-250
CV
Exposure DMSO
control, 0.1uM Phe,
0.1uM BaP
5 replicates of 0.5L
(20 animals/bottle)
Extra bottles for
seawater only
control.
Exposure DMSO
control, 0.1uM Phe,
0.1uM BaP
4 replicates of 0.5L
(10 animals/bottle).
Extra bottles for
seawater only
control.
Exposure DMSO
control, 0.1uM Phe,
0.1uM BaP
5 replicates of 0.5L
(10 animals/bottle).
Extra bottles for
seawater only
control.
Live animals
collected and
frozen for
RNA
extraction.
72h
exposure at
3.5 °C.
C.
finmarchicu
s
P6
P7
Bongo
net 180
um
C. glacialis
MIK
C.
hyperboreu
s
19
T2-2.5. Critical seasonal windows of responses to multiple stressors on key organisms
in a pelagic food chain
Robynne Nowicki, PhD student (UNIS/UiO), PI: Geir Wing Gabrielsen (NPI)
Purpose
The samples taken on this cruise will be used in T2-2.5. This cruise is the first of 4 seasonal
cruises in which macrozooplankton and fish samples will be taken for bioenergetics, protein,
lipid and pollutant remobilization analysis. The samples taken will be used to assess seasonal
fluctuations in energy content of key organisms in the pelagic food web of the Barents Sea.
This data will be used to expose the annual critical windows in which organisms may be of
weakened body condition and predators may have a low-quality food supply. Thus these
organisms may be more susceptible to stressors such as persistent organic pollutants and
climate change parameters, during this critical period. I also took samples of
macrozooplankton to assess sexual maturity and life history stages, in order to allow for a more
trait-based approach to seasonal energy variation. As well as this, polar cod brains were
collected (to be used in conjunction with brains collected from Brunnich guillemots and
kittiwakes from Svalbard in future) for organ specific analysis of seasonal pollutant
remobilization. Samples were taken at each process station (excluding P3), allowing for
additional comparison of southern (Atlantic) and northern (Arctic) species, as well as regional
differences in individuals of the same species.
Sampling approach
Macrozooplankton: Macrozooplankton were sampled using MIK-net 1500um V-hauls, and
macrozooplankton trawls, at stations P1-5, with P6 and P7 only having MIK-net 1500um
vertical hauls due to ice conditions. The bulk samples were sorted into major zooplankton
groups, with this work focusing on krill, amphipods and pteropods, with 2-3 species selected
for each. Individuals were selected and measured, with an aim to collect a range of size
classes, in order to assess the relationship between body size and energy content. For each
sample, organisms were wrapped in aluminium foil, placed in a labelled Ziploc bag and frozen
at -20°C. Large organisms were stored individually, whilst smaller organisms were pooled per
sample, with the aim of each sample weighing between 0.5-1g. Samples were taken
opportunistically, with not all species being collected from each station. Where abundance
allowed, I also took samples to be later assessed for sexual maturity and life history stage. I
stored these individuals in 5% formalin seawater solution. Themisto libellula was the most
consistent species, being collected from every process station.
Fish: Fish were collected using campelen and Harstad fish trawls at station P1, P2 and P4.
Atlantic cod (Gadus morhua), capelin (Mallotus villosus) and polar cod (Boreogadus saida)
were the target species collected. However Atlantic cod were only available from P1 and
capelin from P1 and P2, whilst polar cod were taken from all sampled stations. The fish were
taken whole from the trawl (roughly 10-25 individuals per species per station where abundance
allowed), weighed and measured for total length. Individuals were then wrapped in aluminium
foil and frozen at -20°C. Polar cod were present at every process station. Polar cod that were
dissected for other simultaneous sampling onboard had their brains removed for remobilization
studies, with weight and total length of the sample fish being noted.
T2-3.1. Climate change and fisheries: Spatial environmental variables and genomics
Siv Hoff and Leif Christian Stige (UiO), PI: Sissel Jentoft (UiO)
The aim of this task is to investigate the roles of spatiotemporal population structure and
possible local adaptations in three key fish species in the northern Barents Sea ecosystem:
The Northeast Arctic population of the Atlantic cod (Gadus morhua), capelin (Mallotus villosus)
and polar cod (Boreogadus saida). If local adaptations are important for population dynamics
and responses to climate change, it may be necessary to revisit the management of fisheries
in order to maintain intact spatial and genetic structure. For this purpose, individual samples
20
of these species will be collected at transect cruises in summer (2 years) and winter (1 year)
for whole-genome sequencing. We will also include samples of the same species collected in
associated projects at other locations, such as at their spawning grounds. From these data we
aim to characterize the population sub-structure(s) for each of the species, as well as identify
signatures of directional selection, for instance as a result of temperature adaptations. In
addition to spatial structure, we will assess possible temporal structure, linked to seasonal
partitioning of habitat use.
During this cruise we have been collecting tissue samples of the Northeast Arctic cod, polar
cod and capelin from the different process stations: P1, P2, P3, and P4 vicinity (Table 7). At
all stations, one demersal (Campelen) fish trawl was taken. Pelagic trawling was planned to
be done “opportunistically” if signal on the echo sounder indicated presence of fish schools,
resulting in one pelagic (Harstad) trawl that was taken between P1 and P2 (P1 vicinity). At
station P3 and P4 a fishlift was attached to the trawl, and fish from these catches were kept
alive in fishtanks.
Table 7. Number of fish sampled at each of the stations during SSQ3. All trawls taken was demersal
except P1 vicinity, which was a pelagic trawl.
Station/
Species
P1
P1
(vicinity)
P2
P3
P4
(vicinity)
P5
Northeast Arctic cod
32
-
5
-
-
-
Capelin
24
36
26
6
-
-
Polar cod
17
-
40
40
43
-
In concordance to last year sampling (JC1/2: 6-23 Aug. 2018), the Northeast Arctic cod was
observed at the first two stations P1 and P2, where P1 trawl catch contained a mix of smaller
individuals and larger individuals and P2 station contained a few smaller individuals (<20 cm).
Capelin was caught both in pelagic and bottom trawls. Interestingly, in comparison to last
year’s sampling, adult polar cod was this year caught in all demersal trawls taken, from P1
through P4, whereas they were first time observed at P3 last year. P5 was not trawled this
year due to ice.
For all sampled fish, a total of three tissue samples were taken, two for whole-genome DNA
sequencing (approx. 20x coverage), and one for RNA sequencing. Additionally, otoliths were
collected for all fish sampled, in order to determine age.
Metadata was recorded for all fishes sampled, and includes the following parameters: fork
length, total length, total weight, sex, maturation stage and presence of ecto/endoparasites. In
addition, for the Northeast Arctic cod and a subset of the sampled polar cod at each station liver,
gonad and somatic weight was also recorded. A subset of the sampled fish was shared with
subtasks 2-2.1, 2-2.3, 2-2.4 and 2-2.5 for ecotoxicological analysis.
21
Research Foci 3 – The living Barents Sea
T3.1 and T3.4 Microbes: biodiversity, abundance, biomass, distribution and activity.
Oliver Müller (UiB), Lasse Olsen (UiB), Miriam Marquardt (UiT), Martí Amargant (UiT), Bente
Edvardsen (UiO), Karoline Saubrekka (UiO), Anna Vader (UNIS), PIs: Bente Edvardsen (UiO),
Gunnar Bratbak (UiB)
The activity contributes to tasks T3-1 and T3-2 and links to T3-3 and T3-4. Samples for
microbial (viruses, prokaryotes and protists) community composition, abundance and activity
were collected from two open water stations (P1 and P2) and four ice covered stations (P4,
P5, P6 and P7). A reduced sampling effort was conducted at the open water station P3 and
ice covered station SICE4. Pelagic samples were collected at all stations, while stations P6,
P7 and SICE4 also included ice samples (ice-cores, under ice water and melt ponds, see more
detailed description of sea ice work below). In addition, Flow Cytometry samples were taken
for the standard depths at several NLEG stations (NLEG5, NLEG6, NLEG8, NLEG9, NLEG10,
NLEG12, NLEG14, NLEG15, NLEG19, NLEG23, NLEG24). Sampling also included
phytoplankton nets. Chl a and live protist samples were analysed on board, while all other
samples were preserved or frozen for later analyses. An overview of parameters and samples
(also including samples from sea ice cores, is given in Table 8.
List of parameters sampled:
Biodiversity
• Genetic identification of community composition of protists and prokaryotes
(Metabarcoding)
• Genetic identification of (free) virus diversity (Virus diversity)
• Qualitative analyses of protists >10 µm from net hauls (Net)
• Qualitative analyses of small protists for cultures and electron microscopy from water
(Vivaflow)
• Qualitative and quantitative analysis of plankton including coccolithophores by
scanning electron microscopy (SEM)
• Algal diversity by culturing (Cultures)
Abundance and biomass
• Algal biomass (total and >10 µm chlorophyll a concentration Chl a)
• Abundance of bacteria, virus, pico and nano-plankton by flow cytometry (FCM)
• Quantitative analyses of protists from water samples by light microscopy (Microscopy)
• Particulate organic carbon and nitrogen (POC/PON)
• Elemental composition of seston (XRF, particulate C:N:Si:Ca:P:Mg:S:K:Fe)(XRF)
Activity
• Genetic identification of protist activities (Metatranscriptome)
• Bacterial production
• Primary production
• Nitrogen uptake by primary producers
• Primary producer’s response to light intensity
22
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
Nutrients
POC/PON
x
x
x
x
x
P vs. I curves
Microscopy
x
x
x
x
x
Bacterial
d ti
Primary
d ti
Nitrogen uptake
FCM
x
x
x
x
x
x
x
x
x
x
x
x
Metatranscriptom
Chl. a
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
XRF
Cultures
SEM
Phytoplankton
net
Vivaflow
Depth
(m)
Virus diversity
Stn
Metabarcoding
Table 8. water column and ice sampling for microbes (see text above for abbreviations). For nutrients,
see also overview in Table 2.
x
x
x
x
x
x
x
x
x
x
x
x
x
P1
5
10
20
30
40
50
60
90
120
200
bottom
Chl
a=45
0-50
x
10
20
30
40
50=Chl
a
60
90
120
150
bottom
0-100
x
10
20
30
40
50
60
90
120
200
bottom
Chl
a=75
0-100
x
10
20
30=Chl
a
40
x
x
x
x
x/
x
x
x
/X
x/
x/X
x/X
x
x
x
x
x
x
x
x
x
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x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P2
x
x
x
x/
x
x
x/X
x
x
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
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x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P3
x/
x
x
x
x
x/X
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P4
x
x
x
x/
x
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
23
50
60
90
120
150
200
bottom
0-100
x
x
x
x
x
x
X
x/
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P5
10
20=Chl
a
30
40
50
60
90
120
150
bottom
0-100
x
x
10
20
30
40
50
60
90
120
200
500
bottom
Chl
a=15
0-100
x
10
20
30
40
50
60
90
120
200
500
1000
1500
2000
2500
bottom
Chl
a=15
0-100
x
0-3
x
x
x
x/
x/X
x
x
X
x
x
x/
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P6
x/
x
x
x
x/X
x
x
x
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
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x
x
x
x
x
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x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P7
x/
x
x
x
x
x
x
x
x/
x
x
x
x
x
x
x
x
x
x/
x
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
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x
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x
x
x
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x
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x
x
x
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x
x
x
x
x
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x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P6ic
e
x
x
24
3-10
10-20
20-30
30-50
50-70
70-90
90-110
110-130
130-top
0-10
UIW 0.5
MP1
MP2
MP3
MPM
x
x
x
x
x
x
x
x
x
0-3
3-10
10-20
20-30
30-50
50-70
70-90
90-110
110-130
0-10
UIW 0.5
MP1
MP2
MP3
MPM
x
x
x
x
x
x
x
x
x
0-3
3-10
10-20
20-30
30-50
50-70
70-90
90-110
110-130
130-150
150-top
0-10
UIW 0.5
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x/X
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
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x
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x
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x
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x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P7ic
e
x
x
x
x
x
x
x
x
x
x
x
x
x
x/X
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
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x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
SICE
4
x
x
x
x
x
x
x
x
x
x
x
x
x
x/X
x/X
x
x
x
x
x
x
x
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x
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x
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x
x
x
x
x
x
x
x
x
x
SICE
4
10
20=Chl
a
30
40
50
60
90
120
x
x
x
x
x/X
X
x
x
x
x
x
x
x
x
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x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
25
150
200
500
1000
1500
2000
bottom
0-100
x
x
x
x
x
x
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
On board experiments:
On board experiments included a grazer exclusion experiment, which was done at stations P1,
P4 and P6, prepared by gentle reverse filtration of surface water from the Chl a max to retain
organisms of different size fractions (<0.8µm; <3µm; <90µm) and were incubated each for six
days at close to in situ light and temperature. Subsamples for abundance, activity and diversity
analysis were taken at different frequencies throughout the incubation period.
Several functional aspects of pelagic and sympagic primary producers were studied during the
Nansen Legacy Q3 cruise. In open water stations (P1, P4, P5), water was sampled from the
standard depths 10, 20, 40, 60, 90 and Chl a max. Water from these depths was spiked with
radioactively labelled carbon in order to determine the Carbon fixation rate (i.e. the Primary
Production rate) of phototrophic organisms throughout the water column and latitudinal
gradient. Additionally, water from 10m and Chl a max was spiked with stable isotopes of
Carbon (13C) and Nitrogen (15N) to estimate the F-ratio (which fraction of the primary
production is new production). One incubation bottle was also treated to assess the nitrification
activity of microbes. These incubations were deployed attached to the sediment trap moorings
and exposed to in situ light and temperature conditions for 24 hours. In parallel, water from the
Chl a max was used to study the photosynthetic response of the community to light intensity
(P vs I curves). At the ice-covered stations (P6 and P7), the aforementioned water sampling
and experimental work was carried out as described, and additionally the bottom 3cm of 4 ice
cores were sampled and pooled for similar in situ incubations: Under-ice Primary production,
Nitrogen uptake and P vs I curve. Water from a melt pond was sampled, spiked and incubated
in situ for Primary Production and Nitrogen uptake. A reciprocal transplant experiment was
conducted with surface water from stations P1 and P6 and will be analyzed for abundance and
community shifts due to changes in environmental factors.
T3-1.1. Characterize biological phytoplankton/ protist communities and seasonality in
terms of biodiversity, abundance, biomass and distribution patterns
Karoline Saubrekka and Bente Edvardsen (University of Oslo/ IBV), Anna Vader (UNIS), PI:
Bente Edvardsen (UiO)
The main aim of our sampling during the cruise was to collect material which will be used to
study diversity, distribution and ecology of microalgae and other protists along the Barents Sea
to Arctic Ocean transect. Our sampling also focused on Sea ice communities, and we collected
material from melt ponds, ice cores and under-ice.
For the molecular analysis of diversity (metabarcoding) and function (metatranscriptomics)
of phytoplankton and protist communities along the transect. We took part in collection and
filtration of the molecular samples as well as sampling and processing of ice-cores and sea
water on ice. A complete list of which microbial parameters were collected at which depth and
stations is presented elsewhere in the report.
For the analysis of phytoplankton abundance, we collected samples from CTD Niskin bottles
at all planned depths at station P1. At station P2-P7 and SICE4 sample depth 5m was changed
to 10m, due to sampling through the moonpool. Samples where fixed in formalin and Lugol´s
26
solution for further light microscopy analysis in the lab. They will provide quantitative and
qualitative information about phytoplankton abundance and diversity along the transect.
Morphological analysis of phytoplankton diversity and isolation of cultures of Arctic
microalgae. We also collected samples for the scanning electron microscopy (SEM) analysis
of small phytoplankton and groups which are not well preserved in quantitative samples fixed
in Lugol’s solution. This includes primarily calcifying microalgae (coccolithophores) which are
an important part of the Barents Sea phytoplankton. The samples for quantitative and
qualitative SEM analysis were taken at each station at four depths which corresponded to
depths sampled for molecular metabarcoding and metatranscriptomics.
A plankton net (mesh size 10µm) was deployed at each station to obtain a concentrated
phytoplankton vertical sample. The collected material was divided in five parts. One part was
fixed in 2% formalin and one in 1% Lugol’s for light microscopy to be used together with the
quantitative samples above. Another part was fixed in 1% Lugol’s and one in 1%
glutaraldehyde and these will be used for studying diversity of protists using scanning and
transmission electron microscopy at UiO. One part was kept alive in a cool room with light.
This material was analysed onboard by microscopy, preliminary species lists were made and
micrographs taken. It was also used to establish mono-algal cultures by dilutions on board.
Finally, the last part of the net sample was mixed with algal growth medium (IMR1/2) and kept
alive in the cool room with light (“raw cultures”). These dilutions and raw cultures will be taken
to UiO where more cultures will be isolated.
At the process stations and all ice stations, we used Vivaflow filtration system to concentrate
cells that are so small that they are not collected with the plankton net. This was always done
from the Niskin bottles from depths with chlorophyll maximum. On ice stations, Vivaflow
filtration was also done using Melt pond water samples and under-ice samples. After isolation,
the same procedure was applied as with net samples. First part was fixed, second part was
kept alive third part was enriched with growth medium and kept alive. To establish cultures of
small microalgae, we made dilution cultures at each station using the Viva flow concentrated
samples. These dilution cultures as well as raw cultures from Vivaflow material will be taken
to UiO for further analysis.
At sea ice stations, we sampled water from melt ponds, 0.5m below ice and 5m below ice and
concentrated it using both 10µm bottle-net and viva flow system. Part of material was fixed for
SEM, TEM and LM and another part kept as raw cultures for later analysis. Also, the bottom
10cm from ice-cores was sampled, part fixed for microscopy and the rest taken to UiO as a
raw culture.
The protocol has been revised from the Nansen Legacy Protocol Version 4, and a complete
list of samples is given in Table 8, above.
T3-1.1; 2.1. Mesozooplankton taxonomy, abundance, biomass and genomics
Anette Wold (NPI), Kasia Dmoch (IOPAS) and Konrad Karlsson (UNIS), PI: Tove M.
Gabrielsen (UNIS/ UiA)
Purpose
The main objective was to describe the mesozooplankton taxonomic composition, abundance
and biomass along the transect going from open Atlantic water (P1) to ice covered Arctic water
(P7). We expect to see a gradient in the presence of Atlantic and Arctic species. The transect
also represent a gradient from a late summer condition at the southernmost stations to a spring
situation in the northernmost ice-covered stations, allowing for a space for time approach along
the transect.
The data obtained during this cruise are part of the seasonal investigations of zooplankton
communities and will be continued on AeN seasonal cruises in Nov/Dec 2019 & spring 2020.
27
Description of work
We have sampled with Multinets and Bongonets of both 180 µm and 64 µm in order to cover
all size groups and we refer to the samples from the two mesh sizes as “mesozooplankton”
and “small mesozooplankton” respectively (Table 9). Samples for taxonomy and abundance
was sampled using the Multinet at 5 standard depths (Table 10). The standard sampling
depths were from the bottom-200, 200-100, 100-50, 50-20 and 20-0 m. At the deep stations,
the sampling depths were from 1000-600, 600-200, 200-50, 50-20 and 20-0 m. All samples
were preserved in 4 % formaldehyde free from acid. (final concentration) free from acid.
Samples for total biomass as dry weight and metabarcoding was sampled using Bongonets
from the bottom-surface and from 1000 m to surface at the deep stations. The biomass
samples were dried and measured onboard. Genetic samples for metabarcoding was
preserved in ice cold 96 % ethanol.
Gelatinous zooplankton were picked out from MIK net & Bongonet samples at station P2, P4,
P5 & P7. Pictures were taken of all individuals of each taxa. And individuals in good conditions
were stored individually with ice cold 96 % ethanol. It would improve the sampling of gelatinous
zooplankton to use a light-board and have a dedicated camera and a better system for naming
and storing pictures immediately after sampling. Due to time constraint, pictures were not
taken of the taxa from the Bongonets only from the MIK nets. We should improve the effort to
also pick out smaller individuals of gelatinous zooplankton in the future.
Table 9. Overview of mesozooplankton sampling
Purpose
Mesozooplankton
taxonomy
Small
mesozooplankton
taxonomy
Mesozooplankton
biomass
Small
mesozooplankton
biomass
Mesozooplankton
metabarcoding
Small
mesozooplankton
metabarcoding
Gelatinous
zooplankton
Gear
Multinet 180 µm
Station
P1, P2, P3, P4, P5, P6, P7
N samples
35
Task
T3-1.1 & 1.2
T3-2.1 & 2.2
T3-1.1 & 1.2
T3-2.1 & 2.2
Multinet 64 µm
P1, P2, P3, P4, P5, P6, P7
35
Bongonet 180 µm
P1, P2, P4, P5, P6, P7
6
Bongonet 64 µm
P1, P2, P4, P5, P6, P7
6
Bongonet 180 µm
P1, P2, P4, P5, P6, P7
6
T3-1.1
Bongonet 64 µm
P1, P2, P4, P5, P6, P7
6
T3-1.1
MIK net 1500 µm &
Bongonet 180 µm
P1, P2, P4, P5, P6, P7
105
(individuals)
T3-1.1 & 1.2
T3-2.1 & 2.2
T3-1.1 & 1.2
T3-2.1 & 2.2
T3-1.1 & 1.2
T3-2.1 & 2.2
Table 10. Overview of gear deployment
Gear
Sampling depth
Shallow
Bot-200-100-50-20-0m
Bot-200-100-50-20-0m
Bottom-0m
Bottom-0m
Bottom-0m
Deep
Bot-600-50-20-0m*
Bot-600-50-20-0m*
1000-0m
1000-0m
Bottom-0m
Hauling speed (m/s)
lowering
heaving
0.5
0.5
0.5
0.3
0.5
0.5
0.5
0.3
0.3**
0.6
Multinet 180 µm
Multinet 64 µm
Bongonet 180 µm
Bongonet 64 µm
MIK 1500 µm
Macrozooplankton trawl
*At the deepest station (P7) time only allowed to sample down to 1000m
**If lowering to fast the net-bucket might flip into the net since the ring is much heavier than the bucket
even when added weight to the bucket.
28
T3-1.1; 2.1; 2.2; 4.2; 4.4. Characterize biological mesozooplankton communities and
seasonality in terms of biodiversity, abundance, biomass and distribution patterns (1.1),
secondary production (2.1), trophic ecology (4.2) and sympagic-pelagic-benthic
coupling (4.4)
Konrad Karlsson (post doc, UNIS), PI: Janne Søreide
The RF3 work package aims to describe zooplankton dynamics over season (summer, winter,
and spring) and space (Atlantic, shelf, and Arctic). A further aim was to estimate grazing, egg
production and hatching success of dominant zooplankton species. I participated on the cruise
to conduct experiments on mesozooplankton at the three process stations: P1, P4, and P7. In
addition, I took samples of zooplankton biomass and metabarcoding at six stations: P1, P2,
P4, P5, P6, and P7. Three different experiments were planned prior to the cruise: (i) an
experiment to estimate the grazing on phytoplankton and microzooplankton by the most
dominant zooplankton, (ii) experiments to estimate the egg production and the hatching of
eggs from Calanus glacialis, Calanus finmarchicus, and the egg production of Pseudocalanus
sp., (iii) an experiment to estimate respiration of the most dominant zooplankton species, and
link the respiration to lipid storage and carbon nitrogen ration (C:N) of the animals.
Results: Biomass and metagenomics samples were taken at the six stations. The grazing
experiments were conducted at the three stations, samples of chlorophyll-a, particulate organic
carbon, and community composition (phytoplankton and microzooplankton) were taken to be
analyzed later on. Egg production and hatching were estimated on board the ship. However,
very few animals produced eggs, and none hatched. Experiments on respiration were
unsuccessful because the Loligo sensor could not be calibrated. However, measurements of
lipid storage and C:N ratio were taken.
T3-1.1; 2.1. Macrozooplankton
Padmini Dalpadado (IMR), PIs: Bodil Bluhm (UiT), Tove M. Gabrielsen (UNIS/ UiA)
Macrozooplankton consists of larger organisms such as euphausiids (krill), amphipods,
arrowworms, jellyfish and larval fish. The biomass of these organisms is usually
underestimated as they avoid smaller gears as well as can pass through the larger nets. In
this project, we aim to combine acoustics with net catches to map distributions patterns and
obtain biomass estimates/indices of key macroplankton such as euphausiids and amphipods.
These organisms are key prey of many economically and ecologically important fish species
in the Barents Sea. We use two types of nets, namely MIK (ring net 2m in diameter, 500µm at
the cod end) and a specially designed macroplankton trawl (6*6m, 3mm mesh all throughout)
to catch these organisms. As echosounders onboard operate with several frequencies we aim
to use acoustic information (e.g. frequency response) together with net catches to recognize
and quantify the organisms. The main aim of the August 2019 cruise was to identify key
acoustic backscatters as we move from Atlantic (P1) passing through arctic waters (P2, P3
&P5) towards the mixed waters in the North (P5& P6).
Preliminary results show that at station P1 with Atlantic waters was dominated by large and
small jellyfish (Cyanea capillata, Mertensia ovum and Sarsia spp.), euphausiids
(Meganyctiphanes norvegica, Thysanoessa inermis) and some larval fish (Figure 8, Table 11).
As we move towards artic waters, the species composition and diversity changed. The more
Atlantic dominated species decreased already when reaching the P2 station. Especially in P3
and P4 stations, the larger arctic water associated amphipod, T. libellula was the most
abundant in the macroplankton trawl. Echogram with plankton from P2 is shown in Figure 9.
In the shallow arctic layer (50-100m) in P6 & P7, adult Calanus hyperboreus (CV-CVI)
dominated. In the deeper waters (1000-2000m), we caught bright red colored organisms such
as shrimp, Hymenodora and copepod, Pareuchaeta spp. In addition, large numbers of
chaetognaths were present. It is noteworthy that some individuals from most of these groups
were carrying eggs. The presence of young Themisto libellula (3-5mm-just released from adult
29
marsupium) also seem to indicate suitable growth conditions in these waters. In the shallow
arctic hauls, we caught a lot of green material (likely from algal blooms higher up in the water
column), indicating good feeding conditions for the young in these waters (P6 & P7).
Figure 8. Images of organisms at different stations from a survey with R/V Kronprins Haakon, 5-27
August 2019
Table 11. Sampling description of Macrozooplankton & preliminary observations of taxa.
Sampled from maximum depth to surface, V-haul P1-P4, vertical P5 and P6.
Max.
Station lat
lon
Net
Depth (m) Dominant organisms
Jellyfish, C. finmarchicus, C. glacialis,
P1
76.0196 31.2897 MIK
320
M. norvegica, T. inermis, larval fish
76.0361 31.0716 Macroplankton
Trawl
300
Jellyfish, larval fish
77.4990 33.9955
T. libellula, Clione limacina C.
glacialis, Limancina spp.
P2
MIK
160
77.5163 34.0057 Macroplankton
Trawl
160
T. libellula, Clione limacina, jellyfish
C.
glacialis,
Jellyfish,
T.
P3
78.75 34.0004 MIK
300
libellula(smaller)
P4
79.7077 34.2833 MIK
320
C. glacialis, T. libellula, C. limacina.
79.4983 34.6344 Macroplankton
300
T. libellula, Sagitta spp., C-limacina
Trawl
P5
80.5092 33.8602 MIK
140
C. glacialis, T.libellula (small)
P6
50
C. hyperborus, T. longicoudata
shallow 81.5514 31.1684 MIK
P6
C. hyperborus , krill, Hymenodora
deep
spp, Pareuchaeta spp.
81.5765 31.3874 MIK
1000
P7
shallow 81.9283 29.1460 MIK
100
C. hyperborus, T.libellua (small)
P7
C. hyperborus, Hymenodora spp., T.
deep
longicaudata.
81.9811 29.7287 MIK
2000
30
Figure 9. Echogram showing plankton registrations near P2 station.
T3-1.1; 1.2; 4.3; 4.4. Characterize and quantify biota in the seasonal ice zone (1.1), relate
environmental conditions to biological communities (1.2), and explore the sympagicpelagic-benthic coupling and trophic ecology of benthos (4.4)
Bodil Bluhm (UiT, PI), Arunima Sen (Nord University), Eric Jorda Molina (Nord University), with
assistance by Yasemin Bodur (UiT), Karoline Saubrekka (UiO) and Jack Garnett (Lancaster
University)
During Q3, our team contributed primarily to the Nansen Legacy RF3 tasks T3-1 and T3-4,
specifically T3-1-1, T3-1-2, T3-4-3 and T3-4-4. The gear used to collect samples included a
demersal Campelen trawl and a box corer.
Aims of the group were to (linked to PIs not onboard):
1. T3-1-1: Characterize and quantify biota in the seasonal ice zone by sampling
sediment communities for biodiversity and abundance/biomass assessments,
specifically microbes (PI Lise Øverås, UiB), benthic Foraminifera (PI Elisabeth Alve,
UiO), multicellular meiofauna (PI Bodil Bluhm) and macro-infauna (PIs Paul Renaud,
APN and Henning Reiss via PhD student Eric Jorda Molina, Nord University). Note that
mega-epifauna sampling was conducted at the Nansen Legacy transect during JC1-2
in August 2018, but was moved to IMR’s ecosystem cruise in 2019 where it is routinely
done on a larger spatial scale.
2. T3-1-1: Characterize biota in the seasonal ice zone by collecting voucher material
of benthic macro- and megafauna to be archived at the UiT Museum for a legacy of
physical material of the project (PIs Bodil Bluhm, Andreas Altenburger UiT)
3. T3-1-2: Relate environmental conditions to biological communities by sampling
for sediment properties (grain size), indicators of food availability (total organic carbon
and nitrogen, sediment pigment amount) and food sources (∂13C/∂15N, pigment
composition)
4. T3-4-4: Sympagic-pelagic-benthic coupling by sampling representative benthic
invertebrate taxa and demersal fishes for stable carbon and nitrogen stable isotope
analysis (PIs Bodil Bluhm, UiT and Lis Jørgensen, IMR, for shared PD to be hired)
5. T3-4-4: Sympagic-pelagic-benthic coupling by conducting sediment community
respiration incubation experiments onboard (PI Paul Renaud, APN, with PD Arunima
Sen and PhD student Eric Jorda, Nord Univ.)
31
6. T3-4-4: Sympagic-pelagic-benthic coupling by sampling sediment for IP25 analysis
as an indicator of ice algal food available to the sediment communities (PI Marit
Reigstad with PhD student Yasemin Bodur, UiT).
7. T3-4-4: Trophic ecology of benthos by sampling benthic meiofauna for molecular
characterization of diets of small benthic invertebrates (PI Anna Vader, with PhD
student to be hired, UNIS/ UiT).
8. RF4 T4-4: To contribute to the energy flow ECOPATH model by sampling benthic
invertebrates for which wet weight-to-carbon conversion will be established (PI Torstein
Pedersen, Bodil Bluhm, UiT)
Description of activities, samples collected
Sampling largely followed the Nansen Legacy sampling protocol version 4. We sampled
demersal fish and epibenthos at P1, P2, P3 and near P4 from a single ~15 min Campelen
1800 trawl haul each (Table 13, Figure 10, top; 45 min at P1). Details on the trawling procedure
are described in the fish section. Organisms
were picked from the trawl haul both on deck
and in the fish lab, identified to the highest
practical taxonomic resolution, and either
frozen (for later stable isotope analysis and wet
weight-to-carbon analysis), or fixed in formalin
or 70% ethanol (for the museum collection,
depending on taxon), or 96% ethanol (to allow
later molecular analysis of museum archived
specimens).
Wet
weight-to-carbon
conversions will feed into the ECOPATH
energy flow model in RF4.
Figure 10. Sampling tools used for benthic
sampling during Q3: Top: Campelen 1800 shrimp
trawl. Bottom: giant box corer. Photo B. Bluhm.
Sampling for sediment parameters, organismal
abundance and diversity as well as respiration
experiments was done at stations P1, P2, P4,
P5, P6, P7 and SICE4 using a 50x50 cm giant box core (owned by APN) (Figure 10, bottom).
Three box core replicates were taken at each of those stations except station P5, where only
one replicate was taken because rocks prevented the closing of the box core during three
additional attempts. Given one of the core boxes became damaged we refrained from
additional attempts. At station P6, one deployment did not reach the seafloor after drifting to
>1000 m and was repeated at the target station depth (~ 850 m). At P6, P7 and SICE4, 4, 5
and 4 deployments were done, respectively, to retrieve 3 replicate samples.
Microbes were sampled in replicates of three (one per box core) with a 4.7 cm diameter core
and sectioned into 1 cm layers up to 6 cm. The center of each section was taken out with a 60
ml syringe and the sediment placed into a sterile whirlpack bag and frozen at -80°C.
Foraminifera and multicellular meiofauna were sampled in replicates of three with a 5.5 cm
32
diameter core, sectioned into the same layers, placed into Joni containers and preserved with
70% Bengal rose stained ethanol and stored at room temperature. Macrofauna samples were
taken with 11.7 cm inner diameter cores and either sieved directly through a 0.5 mm sieve and
preserved in 4% formaldehyde seawater solution, or sieved and preserved after incubation
experiments. Given macrofauna samples matched incubation treatments, a total of 20 replicate
cores were taken per experimental station, and for consistency also at non-experimental
stations.
Sediment grain size, TOC, TON and ∆13C/∆15N samples were sampled in bulk using a 4.7 cm
diameter core sectioned, again, into 1 cm layers to 6 cm as above in each of the three
replicated cores. Sediment pigment (chlorophyll a, phaeopigments) samples were taken with
the same size corer, but layers also included 6-8 cm and 8-10 cm. To assess pigment
composition using HPLC analysis, a single sample per core was taken from the 0-2 cm layer
using a 60 ml syringe and stored at -80°C as part of a collaboration with the CHAOS project in
the UK’s Changing Arctic Ocean program. The top 1 cm was sampled for IP25 analysis (parallel
to sediment trap sampling) with a 60 ml syringe and stored at -20°C. One surface scrape each
was taken for molecular analysis of diets of select meiofauna taxa (stored in 96% ethanol at 20°C), and for trace metal analysis from each box core. The remaining surface area was sieved
through 0.5 or 1 mm mesh and organisms retrieved (mostly polychaetes) were identified to
family level where possible and frozen at -20°C for later stable isotope analysis.
Sediment incubations for measuring bulk respiration rates were conducted with sediment
retrieved from stations P1 (320 m depth), P4 (330 m depth), P6 (850 m depth) and P7 (3000
m depth). Therefor rates were measured at two shelf stations, one slope station and one deep
water, basin station. All stations except P1 had some amount of ice at the water surface,
although the ice was very patchy at P4.
At each station where incubations were conducted, about 100L of CTD water was collected
early during activities at the station from the bottom and kept in the cold rooms in the dark to
keep them at the temperature at which the incubations were conducted. The CTD data from
both this year and the year prior were used for determining the temperatures at which
incubations would be conducted. Negative temperatures were not possible to achieve in the
designated cold rooms, therefore experimental temperatures did not completely match in situ
conditions, however, we attempted to mimic seafloor conditions as much as possible while
also maintaining observed inter-station variability. Two treatments were maintained at ambient
water conditions: Treatment 1 (T1), with no added factors, and Treatment 2 (T2), where 30 g
of isotopically enriched dried and resuspended algal powder was added to the sediment of the
cores. Additionally, two treatments were maintained at temperatures about 4°C above ambient
conditions, to simulate expected warming conditions. Treatment 3 (T3) paralleled T1 (no added
factors, just warmer temperature) and Treatment 4 (T4) had algae added, similar to T2. For
each treatment, 5 replicate cores were maintained. Due to time constraints and narrow sieving
windows (sieving could only be conducted when no other activities were taking place), only T1
and T2 were conducted for P6 and P7. Table 12 lists the treatments and temperatures that
were conducted at the various stations.
Table 12. Treatments and temperatures at which benthic community oxygen consumption experiments
were conducted at the various stations.
Station
P1
P4
P6
Treatment 1
(ambient
temp)
5 replicates
2°C
5 replicates
0°C
5 replicates
0°C
Treatment 2
(ambient temp +
algae)
5 replicates
2°C
5 replicates
0°C
5 replicates
0°C
Treatment 3
(ambient temp
+4°C)
5 replicates
6°C
5 replicates
4°C
none
Treatment 4
(ambient temp +4°C
+ algae)
5 replicates
6°C
5 replicates
4°C
none
33
P7
5 replicates
0°C
5 replicates
0°C
none
none
At P1 and P4, 20 sub-cores and at P6 and P7 10 sub-cores (sub-cores were 11.7 cm in inner
diameter) were inserted into the sediment of the three box cores, filled with bottom water from
the CTD and kept in the appropriate cold rooms. Cores were bubbled for 12 hours to saturate
with oxygen following which 15-20 ml of overlying water was taken for quantifying nutrients.
Algae was added to treatment 2 and 4 as close to the sediment as possible. Core tops with
magnetic stir bars were fixed on, removing air bubbles, and connected to electric transformers
to keep the bars stirring, in order to avoid stratification of the water in the cores. Oxygen
measurements were taken every 6 hours via the PreSens Fibox 4 optical sensor system.
Experiments were terminated when oxygen concentrations reached 15-30% of saturation
levels (70% for P6 and P7), upon which, nutrient samples were taken once more from the
overlying water. Cores were sieved on a 0.5 mm sieve and all macrofauna retained were fixed
in 4% formaldehyde and rose Bengal. In treatments 2 and 4, prior to sieving for macrofauna,
sub-sections of the first 2 cm of the sediment were taken with a cut off 60 ml syringe and
frozen, to assess algal uptake by foraminiferans.
For each sample type, a separate metadata excel sheet was created using the SIOS excel
template generator. UUIDs were assigned to each sample following the Nansen Legacy
guidelines. Sediment cores for respiration incubations were given a UUID through the system,
but no labels were generated since these cores did not have a physical form after incubations
were terminated. However, macrofauna samples, nutrient samples and meiofauna samples
(post-incubations) were taken from these cores and all these samples had UUIDs and
appropriate labels, with the parent UUID being the generated, but label-less UUIDs for the
incubation cores.
34
Table 13. Overview over stations sampled for each of the different activities. Numbers in parentheses indicate the number of sediment layers.
35
Field observations
Epifauna
Although trawls were not quantitatively analyzed during Q3, we note that - as last year - the
most frequent epifaunal invertebrates across most trawl stations included the shrimp Sabinea
septemcarinata, the sea cucumber Molpadia borealis, soft corals from the family Nephtheidae
(Gersemia sp. likely) and the sea star Ctenodiscus crispatus. P2 was the most taxon rich of
the four trawl stations. The harvested shrimp Pandalus borealis was abundant and dominant
at Stations P1 and P4; Pycnogonids and Polymastia sponges were also common at these two
stations (Figure 11, top). In contrast to last year, the brittle star Ophiura sarsii was not
particularly abundant or frequent.
Sediment
Sediment texture and color varied both
between sites and particularly down core.
In all cores, surface sediments were
brownish in coloration, with variations
from creamy to chocolatey (Figure 11,
bottom). Under the soft layer was a clay
layer that was very dense in some cases.
Station P4 had particularly soft sediment
and stripes of different sediment colors.
Station P5 had much gravel and boulders
providing a substrate for limpids, Lepeta
caeca to attached; coarse sediment was
incorporated into tubes of, for example,
the polychaete Nothria conchilega.
Macroinfauna
In most cores, polychaete tubes were
visible on the surface, and – in the case
of Spiochaetopterus - extended into the
clay layer. At shelf stations (P1, P2, P4
and P5) representatives of the
polychaete
families
Lumbrineridae,
Maldanidae,
Nepthydae
and
Spiochaetopteridae were quite abundant.
Different types of Bryozoans were also
present at some cores along the shelf.
Figure 11. Example of trawl catch and sediment
sample. Photo B. Bluhm.
At the slope at P6, the sediment surface
contained clumps of sponge spicules.
Isopods, amphipods, and cnidarians
Umbellula and Pennatulacea were
visible. Spionid polychaetes were also
36
present together with Maldanidae, Ampharetidae and Trichobranchidae individuals.
At the deep, P7 station, frenulate siboglinid worms were
recovered and extraction from the tubes revealed the
genus to be Siboglinum (Figure 12). These are
polychaetes with obligate internal chemosynthetic
bacterial symbionts.
Figure 12. Siboglinum sp. found at basin station P7. Photo A.
Stippkugel
Black sediment was observed in parts of the box cores
from this station, which could be indicative of reducing conditions, which would align with the
presence of siboglinid worms that require access to reduced chemicals in sediment porewater
for nutrition. At P7, one core contained an empty shell of the irregular sea urchin Pourtalesia
geoffreyi. At both P7 and SICE4 foraminifera appeared to be numerically abundant. At SICE4
some individuals of Lumbrineridae, Trichobranchidae and Sabellidae were retrieved, although
abundances appeared to be even lower than at P7.
Respiration experiments
Differences in respiration rates were observed between the cold, ambient treatments, and the
warmer treatments (example in Figure 13).
700
oxygen concentration (umol/L)
Oxygen consumption P4 cores
600
500
400
300
200
100
0
0
6
12
18
24
30
36
42
48
54
60
66
72
hours since start
T1R1
T1R2
T1R3
T1R4
T1R5
T2R1
T2R2
T2R3
T2R4
T2R5
T3R1
T3R2
T3R3
T3R4
T3R5
T4R1
T4R2
T4R3
T4R4
T4R5
Figure 11. Example of respiration results for whole community sediment cores (from P4). T =
treatments. T1 (black circles) is at ambient temperature, T2 (green circles) is at ambient temperature
with the addition of isotopically enriched algal food, T3 (red circles) is at ambient temperature + 4
degrees C, and T4 (blue circles) is at + 4 degrees C and with isotopically enriched algae added.
Algal treatments at some stations appeared to experience higher respiration rates than the
non-algal treatments at the same temperature. Detailed analyses need to be carried out to
determine whether the differences were significant or not. It should be noted that upon
termination of the experiments, it was observed that the added algae were still highly visible
37
and present in the sediment. Further work will determine whether and to what extent both the
macrofaunal and meiofaunal components of the community incorporated the added algae.
Cores where relatively large animals were clearly visible appeared to have relatively high
respiration rates (e.g., cores in which Gersemia was clearly present).
Links to other tasks / RFs / RAs / projects
The field activities contribute to most other work packages in the Nansen Legacy. The
Foraminifera objective extends to RF1, because both recent and palaeo analyses are
performed on the cores. The trace metal sediment samples contribute to RF2. The wet weightto-carbon conversions and biotic biomasses will serve as input data to the food web and energy
flow models in RF4. Our data and sample archival is a component of RA-B, and our blogs and
the museum voucher collection contribute to outreach objectives in RA-D. Sediment pigment
analysis via HPCL is a collaboration with the UK CHAOS project.
T3-1.3 Stable isotopes, fatty acids & HBIs of POM, zooplankton & fish
Anette Wold, NPI, Kaisa Dmoch, IOPAS, PI: Philipp Assmy (NPI)
Purpose
Stable isotopes, fatty acids & HBIs of POM, main zooplankton taxa will be used to study
coupling/de-coupling of sympagic and pelagic primary and secondary producers. In addition
fatty acids (together with C/N ratios) will be used as a measure of food quality for the planktonic
grazer communities and will be linked to on board grazing experiment.
Description of work
Stable isotopes, fatty acid and HBI samples have been taken for POM from the Chl max from
stations P1, P2, P4, P5, P6 & P7 and from the bottom 10 cm of the ice core at two ice stations
(P6 ice & P7 ice). We filtered between 1.2-2.8L from Chl max in order to get enough material,
three replicates were taken for each sample type. For the ice core we were restricted to one
replicate due to very little biological material.
Samples for all three parameters were also sampled from the main mesozooplankton &
microzooplankton taxa (Table 14). This work was done in collaboration with the Ecotox group
(Julia Giebichenstein and Robynne Nowicki). Stable isotopes will be analysed at UiO. while
fatty acids will be analysed by Doreen Kohlbach, NPI. In the southernmost stations the water
mass was quite homogenous, and samples were taken from the entire water column, while at
the two off shelf stations (P6 & P7) samples were taken from the surface arctic layer and from
the deeper Atlantic layer.
38
Table 14. Overview of fatty acid and HBI samples (overview of the stable isotope samples is given in
the Ecotox section).
Gear Type
MIK-net 1500 µm
WP2 90 µm
Station
P1
Depth
300-0m
Taxon
Calanus glacialis, C. hyperboreus
Sagiitta spp.
Mertensia ovum
Beroe cucumis
Sarsia sp.
Catablema visicarium
Aglanta digitale
Sagitta elegans
Meganyctiphanes norvegica
Thysanoess spp.
MIK-net 1500 µm
WP2 90 µm
P1
70-0m
Oithona similis
Pseudocalanus spp.
Calanus finmarchicus, C. glacialis, C. hyperboreus
Beroe cucumis
Mertensia ovum
Meganyctiphanes norvegica
MIK-net 1500 µm
WP3 1000 µm
P2
150-0m
Metridia longa
Calanus finmarchicus, C. glacialis, C. hyperboreus
Limacina helicina
Clione limacina
Sagitta elegans
Themisto libelulla
Thysanoess spp.
Bougenvilla supercillaris
Macroplankton
trawl
MIK-net 1500 µm
Bongonet 180 µm
P4
320-0m
Oithona similis
Metridia longa
Calanus finmarchicus, C. glacialis, C. hyperboreus
Limacina helicina
Clione limacina
Sagitta elegans
Apherusa glacialis
Themisto libelulla
Thysanoessa inermis
Meganyctiphanes norvegica
Oikopleura vanhoffeni
Bongonet 180 µm
P5
140-0m
Oithona similis
Microcalanus spp.
Pseudocalanus spp.
Calanus finmarchicus, C. glacialis, C. hyperboreus
Metridia longa
MIK-net 1500 µm
P6
50-0m
Arctic
Calanus hyperboreus
Euchaeta glacialis
Oikopleura vanhoffeni
Eukhronia hamata
Themisto abyssorum
Thysanoessa longicaudata
MIK-net 1500 µm
Bongonet 180 µm
P6
400-0m
Atlantic
Calanus finmarchicus
Ostracodes
Themisto abyssorum
Triconia borealis
Aglantha digitale
39
MIK-net 1500 µm
Multinet 180 µm
P7
1000-0m
Atlantic
Bongonet 180 µm
P7
100-0m
Arctic
Pseudocalanus spp.
Calanus finmarchicus, C. glacialis, C. hyperboreus
Eukrohnia hamata
Sagitta maxima
Ostracodes
Themisto abyssorum
Thysanoessa longicaudata
Meganytiphanes norvegica
Hymenodora glacialis
Oithona similis
Microcalanus spp.
Calanus finmarchicus, C. glacialis, C. hyperboreus
Onceidae
Ostracodes
Cyclocaris guilelmi
Thysanoessa longicaudata
Themisto abyssorum
T3-2.2. Measure how current environmental settings drive the phenology of primary and
secondary production, and test how changing conditions may affect these seasonal
patterns
Christine Gawinski (UiT), PI: Camilla Svensen (UiT)
The goal of this task is to identify and quantify how environmental conditions influence the
phenology of production cycles both on the community and species levels. During the cruise
in August 2019 the focus was on the small planktonic copepod Oithona similis which is often
underrepresented in traditional zooplankton surveys due to the use of coarse plankton nets,
which Oithona can easily pass through. To assess the relative importance of this copepod
species in the ecosystem of the Barents Sea and Arctic Ocean, the production of this species
was experimentally determined through egg incubation experiments. Assuming that female
copepods allocate their ingested carbon into egg production rather than into growth, the
specific egg production rate can be used as an estimate of the production of the population.
To assess how population dynamics vary across space, egg incubation experiments were set
up at three stations, namely P1, representing Atlantic conditions, P4, based on the shelf and
P7, representing Arctic conditions.
According to protocol, 30 females of Oithona similis should be incubated per station at the in
situ water temperature in the surface layer. The incubation temperatures were as follows: 3 °C
(P1), -1.5 °C (P4) and -1.5 °C (P7). At stations P1 and P4 very few Oithona with eggs were
found. Therefore, the incubation was set up with only 19 instead of 30 individuals at station
P1. At station P4 the incubation was started with an initial number of 22 individuals and another
8 females were added after 12 h, as the picking of copepods with egg sacks took some hours.
At station P7 females with eggs occurred in abundance, therefore 30 individuals could be used
for the incubation from the beginning. At each station the experimental animals were
photographed in the first 48 h, to determine the prosome length and clutch size of each female.
The incubation chambers were checked every 12 h for newly hatched nauplii. In case of a
hatching event the exact hatching time and number of hatchlings was noted and the nauplii
were removed from the incubation chambers. The duration of the experiment at P1 was 408
h, at P4 276 h and at P7 108 h.
At station P1 a total of 219 nauplii hatched from 17 of the 19 females (89 % hatching rate).
The maximum number of nauplii per hatching event was 21 nauplii and the maximum number
of nauplii hatched per female was 23. The earliest hatching event occurred after 36 h and the
last hatching event after 408 h. One copepod died after 252 h and another one after 408 h. At
station P4 209 nauplii hatched from 13 of the 30 females (43 % hatching rate). The maximum
number of nauplii per hatching event was 27 nauplii and the maximum number of nauplii
40
hatched per female was 29. The earliest hatching event occurred after 24 h and the last
hatching event after 276 h. None of the copepods died, however one was lost during sampling.
At station P7 18 nauplii hatched from 1 of the 30 females (3 % hatching rate). The hatching
event occurred after 48 h. None of the copepods died, however one was lost during sampling.
The timing of the reproductive cycle will be determined across the annual cycle based on the
set of four seasonal cruises, with three yet to come.
To investigate Oithona’s position in the food web, samples for carbon, stable isotope and fatty
acid analyses were taken at each of the three process stations. According to protocol, 100
female Oithona should be picked for Carbon analysis after their egg sacks have been removed.
Because of the low abundance of females with eggs at stations P1 and P4, two times 100
Oithona were randomly picked from the sample (all without egg sacks) and 30 individuals were
photographed to determine their size and developmental stage. At station P7 two times 50
females and in addition two times 50 egg sacks were sampled for Carbon analysis. At each
station three times 50 Oithona were picked for stable isotopes and fatty acid analyses. To
investigate a possible top-down control of Oithona on the microbial food web, a grazing
experiment was conducted in collaboration with Oliver Müller and Lasse Olsen. In addition to
their incubations of 0.8 µm, 3 µm and 90 µm filtered sea water, 20 Oithona were added in three
replicates to 1 l of 90 µm filtered sea water. To compare the feeding strategies of Oithona with
that of larger copepods, a treatment with three Calanus sp. was added in three replicates.
Samples were incubated for 6 days, after which each copepod was removed from the sample
to be photographed (size and developmental stage determination, dead/alive). The grazing
experiment was performed at three stations, namely P1, P4 and P6, at the same temperatures
as the egg incubation experiments (3 °C P1, -1.5 °C P4 and -1.5 °C P7).
41
T3-3.1; 4.2. Estimate ranges of annual production along environmental and latitudinal
gradients (3.1) and Trophic ecology of key zooplankton (4.2)
Angela Stippkugel (NTNU), PI: Rolf Gradinger (UiT), Janne Søreide (UNIS)
Experiments for selective grazing of micro- and mesozooplankton were conducted on board
RV Kronsprins Haakon along a south-north gradient in the Barents Sea at three process
stations (P1, P4 and P7) that were assigned as experimental stations.
To set up experiments, two CTD casts were taken from the deep chlorophyll maximum (DCM):
i) 20 litres of seawater were collected to prepare 0.2 µm filtered seawater for the dilution and
ii) up to 50 litres of seawater were collected and immediately pre-screened through a 180
micrometer sieve to exclude random mesozooplankton in the incubations. To prevent delicate
organisms from damages seawater was sampled from the CTD by means of the funneltransfer technique (Loeder et al., 2010). Filtered and unfiltered seawater was stored cool until
use. In addition, a WP2 net with a 90 µm mesh size was taken to sample mesozooplankton
from the integrated water body (0-70 m). Cyclopoid copepods Oithona spp. (mixture of O.
similis and O. atlantica) and calanoid copepods Calanus spp. (mixture of C. glacialis and C.
finmarchicus) were selected using a dissecting microscope (Leica M205C) in the chilled room
301 and stored in seawater of ambient temperature thereafter.
Two-point dilution experiments (Morison and Menden-Deuer, 2017) modified after Landry and
Hassett (1982) were set-up using the collected seawater from the CTD casts. By means of
dilution experiments the phytoplankton net growth rate µ and the instantaneous growth rate µ0
excluding the grazing impact of micro- and mesozooplankton can be calculated. As
microzooplankton grazing pressure can have a strong influence on the phytoplankton standing
stocks (Irigoien et al., 2005), effects obscured by grazing pressure are likely to become visible
in µ0.
Dilutions of 10 and 100% were set-up in 2.5 litre carboys. 10% dilutions contained a mixture
of unfiltered to sterile filtered seawater in a 1:9 ratio. 100% dilutions contained undiluted
seawater with natural phyto- and microzooplankton communities. In addition, two treatments
using 100% unfiltered seawater with i) around 100 Oithona spp. and ii) 5 Calanus spp. were
added as mesozooplankton grazer treatments. The 10% dilution served as a control for
phytoplankton growth since the number of grazers is considered as neglectable in the 10%
dilutions. A control treatment was added with extra nutrients (f2 medium) to account for nutrient
depletion in natural seawater in different seasons.
Incubation bottles were set up in triplicates and placed in a cool room adjusted to the in-situ
seawater temperatures at sampling depth (between -1.5 to 2 °C). Squared, transparent 2.5
litre plastic bottles were used for the incubations. At P1, a plankton wheel with a jet pump was
used to rotate bottles and to keep the incubated water inside the bottles in motion to prevent
organisms from settling. Unfortunately, the water that circulated through the jet pump was
heated up to 25 degrees and ruined the experiments at the first station. To prevent this mistake
from happening again, bottles were placed horizontally in a shelf at P4 and P7 and manually
rotated every 5 to 8 hours. Bottles were incubated in a 24 hours light cycle to simulate natural
summer conditions. The grazing experiments were terminated after 24 to 48 hours. Different
incubation times were chosen to account for temperature-dependent metabolism of grazers.
Growth rates of phytoplankton will be obtained using pigment measurements and
phytoplankton counts. Phytoplankton net growth rate µ will be calculated using an exponential
growth model (Landry and Hassett, 1982). To account for total grazing and selective grazing
patterns of micro- and mesozooplankton, pigment samples before and after the incubations
will be compared and phytoplankton and microzooplankton cell counts obtained using
Uthermoehl sedimentation and inverted microscope techniques. Nutrient concentrations
before and after incubations will be measured. In addition to the quantification of prey items
and biomass, stoichiometry (C:N:P) will be measured.
42
T3-2.2; 4.4. Measure how current environmental settings drive the phenology of primary
and secondary production, and test how changing conditions may affect these seasonal
patterns (2.2) and Sympagic-pelagic-benthic coupling (4.4)
Yasemin Bodur, Miriam Marquardt, Martí Arumi-Amargant, Marit Reigstad, PIs: Camilla
Svensen (UiT), Lis Lindahl Jørgensen (IMR)
Sediment trap deployment and sampling: To assess the vertical flux at the P-stations along
the cruise transect, short-term sediment traps (KC-Denmark) were deployed at 5 locations up
to 25 h (Table 15). At all stations except for P5, 4 trap cylinders (1.8l volume) were deployed
at 30, 60 and 200m and 2 cylinders at 40, 90 and 120m, respectively (Figure 14). At 5, 20, 40,
60, 90m and Chl a max, bottles for the assessment of primary production were deployed (see
report from M. Amargant-Arumi). Due to the shallow depth of P5, no cylinders were deployed
at 200m and 4 traps were deployed at 120m. Prior to the deployment, the cylinders were filled
with filtered deep water (below 200m) from the corresponding station or from a prior station to
make sure that the water within the cylinders had a higher density than at the sampling depths.
An anchor of 35kg was fixed to the bottom of the mooring to keep it upright in the water column.
To keep the traps neutrally buoyant in the water, 3 large buoys were attached at 10 and 5m
(Figure 14). A flagged pole equipped with an AIS beacon was used to mark the location of the
mooring and to relocate its position for recovery. A small buoy with a long rope was attached
to the pole for the recovery of the mooring. At the ice-covered stations (P4, P5, P6, P7) a chain
was added between 10 and 5m to protect the rig from sea ice, while at P5, P6 and P7 the
mooring was deployed on an ice floe where it was attached by an additional chain on two metal
poles that were hammered into the ice (Figure 15).
Table 15. Overview of sediment trap stations during AeN Seasonal Q3 with deployment and recovery
time, and the total time of deployment.
Station
P1
P4
P5
P6
P7
Deployment
time (UTC)
08.08.2019
22:15
13.08.2019
21:45
Recovery
time
08.08.2019
23:48
14.08.2019
17:51
Total time
deployment
25 h 33 min
15.08.2019
20:00
18.08.2019
11:30
21.08.2019
01:00
16.08.2019
16:40
19.08.2019
06:39
22.08.2019
23:45
20h 40min
20 h 6 min
19 h 9 min
22 h 45 min
Deployment
conditions
In open
water
Under ice
conditions,
in the water
On an ice
floe
On an ice
floe
On an ice
floe
43
Figure 14. Scheme
illustrating the structure
of the mooring and the
sampling depths of the
sediment traps at open
water conditions. At
30m, incubation bottles
for primary production
were deployed when
the Chl a max was
already covered at
another depth.
Figure 15. Deployed sediment trap under ice conditions (left) and on an ice floe (right).
44
Sampling largely followed the Nansen Legacy sampling protocol version 4. Upon recovery of
the sediment traps, the cylinder content of each depth was pooled and partitioned. From each
depth, water was filtered for triplicate POC/PON analyses on pre-combusted GF/F filters and
for size fractionated algal pigments (total Chl a (in triplicates on GF/F filters) and Chl a >10µm;
on Polycarbonate filters) and water samples were taken for microscopic counts of fecal pellets
and phytoplankton communities. Filters for algal pigments were immediately stored in Ethanol
at 4C and measured with a fluorometer on board ideally after 12-24 h. Fecal pellets were
preserved in a hexamine-buffered 4% Formaldehyde solution and phytoplankton communities
in GA-Lugol. At 30, 60 and 200m depth additional triplicate samples were filtered for stable
isotopes (pre-combusted GF/F), HPLC and IP25 analyses (GF/F). Approx. 1l was filtered for
DNA analyses. through sterivex filters. DNA and HPLC samples were stored at -80C.
POC/PON, stable isotopes and IP25 samples were stored at -20C.
Sea ice work
Organized by Anna Vader (UNIS), Miriam Marquardt (UiT)
Sea ice work were organized to optimize sampling efficiency, and the entire group helped out.
Two sea ice coring teams, 1 team making hole for under-ice sampling and 1 melt pond team
were supported by a team transporting cores to the ship, two teams handling cores in the lab
preparing for the different analysis, 2 polar bear guards on the ice and 3 watches on bridge.
The chief scientists coordinated the sea ice work with the crew and safety personnel, and the
sea ice safety responsible checked the ice floe prior to the sea ice work.
Description of the sea ice work:
Ice cores were collected within a 10x10m grid by two or three teams of 3-4 people each,
equipped with 9 cm Kovacs ice corers. Bio-bulk, meiofauna and one temperature/salinity and
one nutrient ice core were sectioned every 10 cm (additionally, the lowest 10 cm of the biobulk and meiofauna cores were cut into 0-3 and 3-10 cm sections). Both the bio-bulk and
meiofauna cores were cut under low light exposure inside a tent and sections stored in round
plastic containers protected from the light. The temperature of the ice core was measured
directly on the ice, before the core was sectioned for salinity measurements. Two cores
(Stratigraphy and Back-up) were bagged in long plastic sleeves and taken back as entire
cores. For all cores that were taken, snow depths, ice thickness free board and core length
were measured. Coring work took 6 hours at P6_ice 4.5 hours at P7_ice and 4 hours at SICE4.
At all times two polar bear guards were on the ice. In addition, there were three polar bear
guards on the bridge. Simultaneously, a team of 2-3 people made a hole in the ice large
enough to deploy a GoFlow bottle to collect water from under the ice at 0.5m depth. A third
team of 2-3 people collected water from melt ponds using a bucket. Three separate melt ponds
were sampled at both P6_ice and P7_ice. No melt ponds were sampled at SICE4. All water
samples were protected from the light by covering the canisters using black garbage bags. Ice
core sections from bio-bulk and meiofauna cores were mixed with sterile filtered sea water
(0.22µm) in a ration of 100ml per one cm core and slowly thawed in the dark in a moderately
warm room (ca. 10°C, fish lab).
45
Nutrients
x
x
x
x
x
x
x
x
x
P vs. I curves
POC/PON
x
x
x
x
x
x
x
x
x
x
Bacterial
d ti
Primary
d ti
Nitrogen uptake
Microscopy
x
x
x
x
x
x
x
x
x
x
Metatranscriptom
FCM
x
x
x
x
x
x
x
x
x
x
XRF
Chl. a
Cultures
SEM
Vivaflow
Phytoplankton net
Depth
(m)
Virus diversity
Stn
Metabarcoding
Table 17. Sea ice sampling for microbes from sea ice cores (see text for abbreviations)
P6ice
0-3
3-10
10-20
20-30
30-50
50-70
70-90
90-110
110-130
130-top
0-10
UIW 0.5
MP1
MP2
MP3
MPM
x
x
x
x
x
x
x
x
x
x
0-3
3-10
10-20
20-30
30-50
50-70
70-90
90-110
110-130
0-10
UIW 0.5
MP1
MP2
MP3
MPM
x
x
x
x
x
x
x
x
x
0-3
3-10
10-20
20-30
30-50
50-70
70-90
90-110
110-130
130-150
150-top
0-10
UIW 0.5
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x/X
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
P7ice
x
x
x
x
x
x
x
x
x
x
x
x
x
x/X
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
SICE4
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x/X
x/X
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
46
List of parameters (and abbreviations used in Table 17) sampled from sea ice cores at the Q3
sea ice stations. For PI´s for the different datasets, see data report.
Biodiversity
• Genetic identification of community composition of protists and prokaryotes
(Metabarcoding)
• Genetic identification of (free) virus diversity (Virus diversity)
• Qualitative analyses of protists >10 µm from net hauls (Net)
• Qualitative analyses of small protists for cultures and electron microscopy from water
(Vivaflow)
• Qualitative and quantitative analysis of plankton including coccolithophores by
scanning electron microscopy (SEM)
• Algal diversity by culturing (Cultures)
Abundance and biomass
• Algal biomass (total and >10 µm chlorophyll a concentration Chl a)
• Abundance of bacteria, virus, pico and nano-plankton by flow cytometry (FCM)
• Quantitative analyses of protists from water samples by light microscopy (Microscopy)
• Particulate organic carbon and nitrogen (POC/PON)
• Elemental composition of seston (XRF, particulate C:N:Si:Ca:P:Mg:S:K:Fe)(XRF)
Activity
• Genetic identification of protist activities (Metatranscriptome)
• Bacterial production
• Primary production
• Nitrogen uptake by primary producers
• Primary producer’s response to light intensity
T1-2.2 Physical sea ice conditions
PI: Sebastian Gerland (NPI)
For each core, snow depth, core length and freeboard were measured. Two cores were taken
for physical properties: 1) physical parameters including temperature and salinity measured
on ice, and 2) stratigraphy (core described by layering, and packed for later analysis).
T3-1; T3-4 Sea ice microbes: biodiversity, abundance, biomass, distribution and
activity.
Oliver Müller (UiB), Lasse Olsen (UiB), Miriam Marquardt (UiT), Martí Amargant (UiT), Bente
Edvardsen (UiO), Karoline Saubrekka (UiO), Anna Vader (UNIS), PIs: Bodil Bluhm (UiT),
Gunnar Bratbak (UiB)
Sea ice samples were collected at three stations; P6, P7 and SICE4. Sea ice thickness at the
three stations varied between 130 and 160cm (Figure 16). Only core parameters were
collected at SICE4, while P6_ice and P7_ice were full stations. Sampling included ice-cores
(Figure 16) and water from under the ice (0.5m depth, sampled through a hole in the ice) as
well as melt-ponds. In addition, a handheld phytoplankton net was used to collect samples
from under ice (5-0m depth) and melt-ponds (only P6_ice and P7_ice). Table 16 shows an
overview of which samples were collected (number of ice cores). Bio bulk samples were cut
into sections which were pooled, and divided into sub-samples for metabarcoding, flow
cytometry, chlorophyll a, POC/PON and bacterial production. All ice core samples were cut on
the ice and processed on board, except "backup core" and "physics (stratigraphy)" which were
stored whole and frozen for later analyses. A CTD profile was obtained from under the ice
using a handheld SAIV204 CTD equipped with fluorescence sensor. Light was measured using
a LiCOR light-profiler.
47
Figure 16. More than 30 sea ice cores were drilled to provide enough material for all the parameters.
Photo: Christian Morel (christianmorel.net).
Table 16. Overview of ice cores collected for sampling of the different parameters at the sea ice stations.
Ice-cores
P versus I
Primary production
Bio bulk
Phytoplankton experiment
Ice-algae taxonomy
Meiofauna/algae
SEM
backup core
XRF
Virus
nutrients
physics (temperature/salinity)
physics (stratigraphy)
HBI
fatty acids
stable isotopes
DOM/trace metals
PFAS
Under ice water (0.5m depth)
nutrients
bio bulk
primary production
phytoplankton taxonomy
XRF
SEM
PFAS
DOM/trace metals
coccolithophore diversity
phytoplankton net (5-0m)
Meltponds (3 ponds)
nutrients
bio bulk
primary production
phytoplankton taxonomy
XRF
SEM
PFAS
P6_ice
P7_ice
2
2
5
2
1
3
1
1
3
3
1
1
1
1
1
1
2
4
2
2
5
2
1
3
1
1
3
3
1
1
1
1
1
1
2
4
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
SICE4
5
3
1
1
3
3
1
1
1
x
x
x
x
x
x
x
x
x
x
x
48
DOM/trace metals
coccolithophore diversity
Vivaflow/cultures
phytoplankton net
x
x
x
x
x
x
x
Transport and biogeochemical cycling of PFAS
Jack Garnett, Lancaster University, UK, EISPAC, CAO project
The aim of my research is to better understand the transport and biogeochemical cycling of
perfluorinated alkylated substances (PFAS) to and within the Arctic environment. My sampling
program focused on sea ice, but also consisted of surrounding material such as snow, melt
ponds and under-ice seawater. These were collected at two sites with different ice thicknesses
with potentially contrasting ice types. Data will be able to improve our knowledge on the
importance of snow and ice as temporary storage of pollutants whilst also indicating the
significance of pollutants derived from the atmosphere and ocean. Moreover, this data will yield
valuable information on the exposure to sympagic organisms located at the base of the marine
food web.
Tasks and responsibilities
During my time on board the KPH, I maintained a list of the chemical inventory and ensured
items were fastened securely (see also list on upgrades). In the beginning of the expedition, I
shared the large workload of the benthos team to sieve samples and prepare experiments.
I also contributed a short blog highlighting the importance of studying contaminants in the
Arctic and performed cleaning duties in communal areas.
At the ice stations (P6 and P7), I worked with the sea ice team to collect core samples for
myself and other scientists (Table 18). I was also responsible for taking melt pond samples for
all cruise participants at the two stations.
Ice samples were melted on board at room temperature and subject to an established chemical
extraction procedure for analysis of trace level PFASs. The results will yield salinity and total
PFAS (dissolved and particulate fraction) profiles in the ice.
49
Table 18. Samples collected for PFAS analysis
Sample type
Station
Sample
processing
Sea ice (4 cores)
P6, P7
Pooled 2 cores
x2
Under-ice seawater
(0.5 & 5m)
P6, P7
melt ponds
Snow
P6, P7
P6, P7
Surface sediment
P7
unknown
Planned analysis
PFASs (dissolved +
Particulate),
Salinity,
Stable isotopes for ice
origin
PFASs
Possible
PFASs (dissolved +
Particulate),
Preliminary
screening
KPH improvement suggestions: In order to secure chemical containers with different sizes,
several 4mm holes were needed to be drilled on each shelf in the chemical cabinet to fit bungee
cords. However, the chemical store would benefit from having additional holes being drilled.
Cruise improvements suggestions: Future melt pond sampling teams would benefit from
taking a hammer with them to break through the thick 6cm ice cap.
Waterproof notepads and pencils are recommended for work in the field.
Future work/collaborations: Future work should include more ice types located at different
vicinities. In addition, measurements of PFASs in fresh snow and ice at various stages of ice
growth and melt would provide valuable information on contaminant mobilization which could
also to understand seasonal fluxes of contaminants into the different environmental
compartments.
I have taken a small sample of surface sediment from 3000m at P7 to screen for PFASs. If
successful, results will be presented to cruise leaders to discuss the possibility of future
collaborations which will investigate the fate of PFAS in the Arctic Ocean. This would also be
useful to combine results from fluxes of organic matter to deep ocean sediments (Yasmine)
and PFAS transport via Atlantic water (Julia).
Logistics
Transport of equipment and samples
The logistic team of the Nansen Legacy project, Håvard Hansen and Simon Bjørvig, provided
a guideline well ahead of the first cruise with information and deadlines for sending equipment
to cruises, and for return of equipment, cooled samples (+4°C) and frozen samples (-20°C and
-80°C). Pre-arranged transportation helps on both efficiency and costs prior to and after each
cruise.
Equipment was shipped to Longyearbyen with Bring, and loading the ship in Longyearbyen
went smooth and efficient resulting from well-planned work, and good collaboration between
the logistics team, the crew and the scientists in Longyearbyen. The Nansen Legacy seasonal
Q3 team leaders (Table A1.3) helped on deck to direct the pallets to the right deck, and cruise
participants carried the boxes to the designated labs.
Shipping of samples that required cooled or frozen transport was ordered in advance, including
dry ice for transport of frozen samples (-80°C). To be picked up at arrival in Longyearbyen.
50
A few pallets were left in Longyearbyen for the Nansen Legacy Q4-cruise, and is stored in the
UNIS rubbhall, sjø.
On board communication
Based on the experience from last year cruises, a key task was to address challenges in
keeping people updated on ongoing and planned activities, and to keep the station activity
plan updated with respect to timing and progress. The vessel is large and the distance from
the instrument room at Deck 7 to Deck 3 is long.
• Cruise leader and co-lead had 6 hrs shifts to always be present, and to meet often
enough to discuss program and respond to any issues regarding practical or
overarching character. They planned the overall timing of cruise activities, station work,
posted programs and adjusted activities when needed, and had close communication
with the bridge, instrument personnel, crew and scientists.
• Station programs were posted and available on all screens in due time, updated
continuously, and facilitated good preparations from crew and scientists, and efficient
sampling on each station.
• Two radios were provided from the vessel, set on Channel 4, to facilitate
communication between cruise leader and the responsible scientists during sampling.
One radio was placed on Deck 7 with the cruise leader on duty, and the other in the
Dry lab, for common access. The use varied between the groups, but was important to
inform on status and depth of zooplankton sampling with the different nets and during
trawling (respond to adjustments needed based on catch).
• Daily meetings were held after dinner for short science presentations of ongoing work
from scientists and cruise leaders, and to share practical information regarding science
work, social life and routines onboard.
Station programs
A station program was prepared in Excel, published as a web page on the khfelles-server and
updated continuously (Table 19). This program was available on HDMI13 on the TV screens
in all common rooms, on the bridge, labs and cabins. Each screen had to be updated manually
(remote control) during the August 2019 cruise. Adjustments to the program were done in
Excel and published as a web page which was updated every 30 sec. To facilitate the links,
automated updating and publishing, the instrument chief (Jan Bremnes) made a small script.
Activities were marked green when finished, or red if cancelled or postponed to a later time
slot in the program due to technical problems. The availability of plans ~24 hrs ahead and
regular updates, resulted in efficient sampling and work during the cruise, as both crew and
scientists could plan and prepare for sampling activities, handling of sampling and rest. Helping
hands were also provided from those knowing they had some available time in the program.
The ability to plan the work was well received on the bridge, among the crew and the scientists.
51
Table 19. Example from station program set up, posted prior to each transit and station work
Day
Date
Time
Station
Activity
Friday
23
Aug
10:00
SICE4
Sea ice
work
Friday
23
Aug
12:15
SICE4
Box
core
#
3
Personnel
Comment
Ice core team,
under-ice
water
team, core-handle
team,
filtration
team, polar bear
guard and watch
Ice cores and
under-ice
water
(sampling
done prior to
first box core
in surface)
3600 m
Bodil,
Eric
Arunima,
Duration
(hrs)
5:00
11:00
The overarching structure of the station programs was planned to get experiments and
incubation work started, as they needed time to set up (sorting and preparations) and/ or
deployment time (PP and sediment traps) during the station. Water column work was carried
out first, and benthic sampling “contaminating” the water column, started only after all pelagic
samples including vertical flux were done.
Water budgets
Water budgets were planned in advance to optimize the utilization of the bottles on the rosette.
Parameters were distributed on the different CTD casts to optimize co-sampling for related
parameters, and early sampling for water needed for experiments. On deep water stations
(>3000 m), all deep-water requests were given priority on one CTD cast to avoid repeated
CTD to the sea floor.
Excel sheets with water budgets for the NLEG and P-station CTD sampling programs are
available.
Sample and data management for legacy
Routines for labelling and logging of samples and metadata for Nansen Legacy were
developed prior to and established during the Nansen Legacy Joint Cruise 1-2 of 2018. The
essential part of this system is that all samples and datasets are labelled with a UUID, and all
information about each sample is logged in an excel sheet containing all relevant metadata
and standardized parameters. The UUIDs are printed on stickers that can be attached to the
samples. The stickers are available in different sizes. Two label printers were set up with a
virtual server on the network onboard, so that they could be accessed from both stationary and
personal computers. The excel sheet used for logging of sample information is generated using
an excel template generator which was made available on the same virtual server along with
an excel file checker, UUID generator and relevant documentation (the labelling manual,
sampling protocol v4, and lists over the gear and sample types used in the project).
Universally unique IDs (UUIDs) for the individual gear used was assigned by one scientist.
Metadata about the gear cast was copied from the cruise logger (Toktlogger v.1.1.2; download
function did not work), UUIDs were generated and given, and additional relevant metadata
was added (e.g., sample depths, data file names, serial number of instruments). This
information was combined in an Excel file and shared in the cruise folder so that the scientists
could grab the Parent IDs for their samples and also did not individually have to acquire
metadata about the gear casts. Around 215 gear casts were registered (Appendix 1), and
almost 13000 entries were uploaded to SIOS from the cruise. Sample and metadata
information are accessible and searchable through the SIOS webpage. In addition to logging
52
information about collected samples, information about planned datasets based on data
collected from the cruise was collected (Appendix 3). In general, the system for labelling and
logging of samples worked well, although several scientists had problems accessing the ship
network. This may be related to the fact that the ship computer system is divided into different
networks, and that although we should have all relevant access through the network assigned
to scientists, this is not always the case. Since our labelling system is placed on a virtual server
on the ship network, it is essential that all scientists have easy access. The download function
of the cruise logger (v1.2.2) does not work, so information has to be copied into our gear cast
log sheet. Until relevant metadata are included in the cruise logger (including generation of
UUIDs for each gear cast) and the download function works, it is necessary to assign one
scientist to gather the relevant metadata for each gear cast, assign parent ID and to distribute
this information to cruise participants during the cruise.
Communication and outreach
The locations and activities during research cruises are well suited to visualize the Arctic
environment as well as the research activities in the project. Christian Morel
(www.christianmorel.net) is a professional photographer with long time experience and
competence on communicating Arctic landscapes, science activities and people of the north.
He was hired by the Nansen Legacy project to take pictures and make movies that shows the
scientific activities, the researchers, the Arctic landscape and the vessel. The products will be
used for illustrations, science communications and in a future exhibition (Figure 17).
Pictures and movies of work (under-ice water, time laps videos etc.) is also provided by
students, researchers, and crew for use in a project context.
Figure 17. Preparing for under-ice sampling. Photo: Christian Morel (christianmorel.net).
Blog texts from the cruise activities were produced during the cruise, and by the end of the
cruise, 12 were published on Forskning.no (Appendix 2).
53
Appendix 1: Tables
Table A1.1 Full station list with locations and sampling gear (modified
from cruise log)
157
Gear
Type
CTD
w/bottles
Date
2019-0805
158
CTD
w/bottles
2019-0806
159
Glider 1
160
Glider 2
CTD
w/bottles
CTD
w/bottles
WP3
1000 um
WP3
1000 um
WP3
1000 um
WP2 90
um
WP2 90
um
Bongonet
64 um
Bongonet
180 um
Sediment
trap
(short
term)
ID
161
162
163
164
165
166
167
168
169
170
171
172
174
175
176
177
178
179
180
182
GO-FLO
CTD
w/bottles
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
Campele
n trawl
Phytopla
nkton net
10 um
Phytopla
nkton net
10 um
CTD
w/bottles
Multinet
64 um
2019-0806
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0807
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
Local
St. ID
Sampl
e
Depth
(m)
86.5
145
75
13.904
7
1050.2
8
146
500
76.416
5
76.005
1
76.006
8
76.000
0
76.000
0
76.000
0
76.000
0
76.000
0
76.000
0
76.000
0
76.000
0
13.904
6
31.034
5
31.031
3
31.219
8
31.219
9
31.219
8
31.219
8
31.219
8
31.219
8
31.219
8
31.219
8
1050.2
8
327.52
P1
76.000
0
76.000
0
76.000
0
76.019
6
76.005
7
75.991
5
76.047
9
31.219
8
31.219
4
31.219
4
31.289
7
31.239
6
31.189
4
31.098
7
08:48
P1
76.003
3
31.213
7
09:01
P1
09:21
P1
11:35
P1
76.003
3
76.003
1
76.000
0
31.213
7
31.214
1
31.220
1
Time
(UTC)
Station
Name
16:13
14:04
IsA
W of
Sørkap
p
W of
Sørkap
p
P1
vicinity
P1
vicinity
16:58
P1
17:48
P1
18:24
P1
19:17
P1
19:32
P1
19:51
P1
20:31
P1
21:06
P1
22:19
P1
23:20
P1
00:46
P1
03:24
P1
04:09
P1
04:57
P1
06:48
07:34
09:53
13:40
Latitude
78.260
9
Longitude
15.535
3
76.416
5
Bottom
Depth
(m)
Max
depth
(m)
Min
depth
(m)
42
43
328.17
147
320
325.59
148
325.62
12
70
0
325.69
13
315
0
325.73
14
315
0
325.58
15
70
0
325.73
16
315
0
325.41
17
315
0
325.52
18
315
0
324.99
44
325.31
45
325.44
149
330.8
20
320
0
325.41
21
320
0
323.19
22
320
0
333.37
101
326.21
23
50
0
326.14
24
50
0
325.86
150
325.53
25
290
0
54
183
184
185
186
187
188
189
190
Multinet
64 um
Multinet
180 um
Bongonet
64 um
Bongonet
64 um
Bongonet
180 um
Macropla
nkton
trawl
Harstad
trawl
CTD
w/bottles
191
192
193
194
195
GO-FLO
Box core
Box core
Box core
Harstad
trawl
199
Mooring
200
Mooring
201
202
203
204
205
207
208
209
210
211
212
CTD
CTD
w/bottles
CTD
w/bottles
Phytopla
nkton net
10 um
Phytopla
nkton net
10 um
WP3
1000 um
WP3
1000 um
WP3
1000 um
Campele
n trawl
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
213
214
GO-FLO
Active
water
sampler
215
216
TS probe
CTD
w/bottles
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0808
2019-0809
2019-0809
2019-0809
2019-0809
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0811
2019-0812
2019-0812
12:17
P1
12:55
P1
13:24
P1
13:55
15:45
P1
P1
17:21
P1
19:34
P1
20:50
P1
22:14
P1
01:27
P1
03:46
P1
06:00
P1
P1 to
NLEG2
09:46
05:38
08:21
M5
M5
bioac
M5 to
P2
10:56
P2
11:59
P2
05:46
12:43
13:02
14:09
14:42
15:00
P2
P2
P2
16:42
P2
19:10
76.035
5
75.998
6
75.998
6
75.999
7
75.999
8
75.999
7
76.209
5
77.080
3
77.082
5
77.325
2
77.498
6
77.498
7
77.498
6
322.75
26
290
0
325.37
321.15
27
28
290
0
300
0
324.16
29
300
0
322.25
30
300
0
332.48
102
31.087
6
31.226
5
31.226
5
31.215
3
31.215
4
31.215
4
31.231
6
35.038
1
35.057
8
34.450
2
34.001
1
34.001
2
34.001
2
337.22
103
325.61
151
325.11
47
100
0
77.498
5
100
0
150
0
150
0
150
0
160
0
160
0
170
0
9
326.11
10
325.9
11
324.81
104
315.83
145.56
48
147.18
49
158.54
154
188.66
155
188.87
156
188.84
31
34.000
5
187.97
32
77.498
6
77.498
6
77.498
6
77.515
6
77.501
0
77.499
0
77.508
5
77.500
6
77.500
6
34.000
8
34.000
7
34.000
7
33.934
3
33.950
2
33.995
5
33.966
1
33.986
5
33.986
4
188.57
34
188.34
35
77.500
6
77.500
6
33.986
4
33.986
5
178
P2
P2
18:03
31.220
1
31.220
0
31.220
0
31.220
0
31.220
1
31.071
6
P2
15:18
17:30
76.000
0
76.000
0
76.000
0
76.000
0
76.000
0
76.036
1
P2
P2
P2
20:47
P2
01:14
P2
02:11
P2
188.34
186.95
105
186.73
36
188.18
37
190.79
38
186.15
50
186.08
51
186.33
1
186.3
157
175
55
217
218
219
221
Multinet
180 um
Multinet
64 um
Multinet
64 um
Macropla
nkton
trawl
224
Box core
225
Box core
226
227
228
229
230
231
232
233
234
235
Box core
Bongonet
180 um
Bongonet
64 um
Bongonet
64 um
CTD
w/bottles
Mooring
CTD
CTD
w/bottles
Campele
n trawl
CTD
w/bottles
236
237
239
240
241
242
243
244
245
246
247
248
249
250
251
GO-FLO
MIK-net
1500 um
Multinet
180 um
Multinet
64 um
Phytoplankton
net 10 um
CTD
w/bottles
CTD
w/bottles
CTD
w/bottles
CTD
w/bottles
Bongonet
180 um
WP2 90
um
WP2 90
um
Bongonet
180 um
Bongonet
180 um
WP3
1000 um
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0812
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
2019-0813
03:19
03:53
04:43
P2
P2
P2
06:56
P2
08:38
P2
11:01
P2
12:57
P2
13:28
P2
13:56
14:19
18:11
P2
P2
NLEG
05
21:22
M5
21:30
M5
NLEG
06
23:41
02:11
P3
03:27
P3
04:12
P3
05:10
P3
06:20
P3
06:58
07:29
09:40
12:12
14:26
17:46
18:31
18:49
19:01
19:12
19:33
20:14
P3
P3
NLEG
08
NLEG
09
NLEG
10
P4
P4
P4
P4
P4
P4
P4
77.500
6
77.500
6
77.500
6
77.516
3
33.986
5
33.986
4
33.986
5
34.005
7
186.36
39
186.38
40
186.47
41
193.53
106
77.499
4
77.499
4
77.499
5
77.499
5
77.499
5
77.499
5
77.998
9
78.347
8
78.349
8
78.500
0
78.731
8
78.749
8
78.749
8
78.750
2
78.750
0
78.750
0
78.750
0
34.000
8
34.000
8
34.000
7
34.000
7
34.000
7
34.000
7
33.999
8
34.762
4
34.775
1
34.000
4
34.009
8
34.000
8
34.000
6
34.000
4
34.000
0
34.000
0
34.000
0
188.46
12
188.6
13
188.78
14
188.87
45
188.95
46
188.88
47
196.18
158
241.23
52
246.96
159
179.89
160
307.25
107
306.99
161
306.98
53
307.11
48
306.8
50
306.77
51
306.71
52
79.000
3
79.249
2
79.500
2
79.749
4
79.747
5
79.747
6
79.747
7
79.747
8
79.748
5
79.751
7
33.999
7
34.001
8
33.996
6
33.997
1
33.988
0
33.985
3
33.982
7
33.980
1
33.973
7
33.958
8
269.57
162
215.73
163
300.18
164
338.39
165
338.83
53
338.43
54
338.11
55
337.72
56
337.7
57
336.24
58
170
0
170
0
150
0
170
0
170
0
280
0
280
0
100
0
100
0
70
0
70
0
300
0
300
0
300
0
181
170
300
260
205
290
325
56
252
253
254
Sediment
trap
(short
term)
Phytopla
nkton net
10 um
Active
water
sampler
255
257
258
259
260
261
262
263
264
266
267
268
269
270
GO-FLO
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
CTD
w/bottles
Multinet
180 um
Multinet
64 um
Multinet
64 um
CTD
w/bottles
Bongonet
180 um
Bongonet
64 um
Bongonet
64 um
CTD
w/bottles
271
CTD
272
GO-FLO
273
274
275
TS probe
Campele
n trawl
Macropla
nkton
trawl
276
Box core
277
Box core
278
279
280
281
282
283
Box core
CTD
w/bottles
CTD
w/bottles
CTD
Bongonet
180 um
Bongonet
180 um
2019-0813
2019-0813
2019-0813
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0814
2019-0815
2019-0815
2019-0815
2019-0815
2019-0815
2019-0815
2019-0815
2019-0815
21:40
21:51
02:19
P4
04:26
P4
05:03
P4
07:24
08:33
09:13
10:10
11:06
11:43
12:12
12:41
13:15
13:52
329.89
54
79.758
4
33.973
3
330.05
59
79.758
4
34.076
6
326.97
55
79.734
3
79.707
7
79.702
6
79.694
1
79.693
1
79.693
2
79.696
4
79.700
2
79.707
3
79.714
0
79.717
9
79.720
3
79.721
1
79.722
6
79.723
3
79.723
0
79.711
1
79.551
8
79.498
3
34.237
2
34.283
3
34.281
5
34.268
3
34.252
0
34.230
0
34.224
5
34.223
7
34.228
1
34.266
4
34.290
9
34.306
5
34.318
2
34.331
1
34.344
2
34.353
0
34.377
2
34.568
6
34.634
4
344.53
56
351.99
60
354.2
61
356.7
62
355.31
63
352.99
166
345.53
64
341.7
65
342.63
66
341.28
167
343.08
67
343.78
68
341.63
69
338.9
168
337.3
169
336.49
58
338.16
3
79.745
7
79.743
4
79.751
8
79.998
2
80.496
6
80.495
1
80.494
9
80.495
1
34.016
9
33.996
1
34.028
2
33.996
1
33.989
8
33.967
8
33.962
0
33.950
2
P4
P4
06:43
33.965
7
P4
23:35
05:51
79.757
8
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
14:11
P4
16:13
P4
19:50
P4
20:56
P4
01:37
P4
03:10
P4
04:51
08:22
P4
NLEG
12
17:03
P5
17:44
P5
17:55
P5
18:16
P5
100
0
320
0
320
0
320
0
325
0
280
0
340
325
330
330
0
330
0
330
0
50
0
329
328.4
108
304.77
109
333.83
15
332.7
16
331.05
17
211.8
170
204
162.71
171
150
159.36
172
159.3
70
140
0
154.82
71
140
0
57
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
Phytopla
nkton net
10 um
Phytopla
nkton net
10 um
Sediment
trap
(short
term)
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
GO-FLO
CTD
w/bottles
TS probe
Multinet
180 um
Multinet
64 um
Multinet
64 um
Bongonet
180 um
Bongonet
64 um
Bongonet
64 um
CTD
w/bottles
Sampling
from
small
boat
Li-Cor
CTD
303
306
307
Box core
CTD
w/bottles
CTD
w/bottles
308
CTD
309
CTD
310
311
CTD
CTD
w/bottles
313
314
CTD
Sea ice
work
Active
water
sampler
2019-0815
18:31
P5
80.495
4
33.942
4
159.12
72
140
0
2019-0815
18:47
P5
80.495
7
33.935
3
160.85
73
100
0
20:32
P5
59
100
0
P5
162.19
74
21:16
P5
168.54
75
140
0
21:35
P5
169.2
76
140
0
22:41
P5
171.81
60
140
0
00:23
P5
169.77
173
00:55
P5
174.35
4
04:12
P5
162.0
77
140
0
04:49
P5
159.99
78
140
0
06:16
P5
157.25
79
150
0
06:39
P5
155.24
80
07:09
P5
154.77
81
07:30
P5
152.96
82
09:03
P5
33.881
0
33.860
2
33.854
5
33.855
1
33.892
8
33.960
2
33.984
4
34.086
0
34.083
5
34.066
9
34.064
1
34.062
0
34.057
9
34.051
4
157.14
21:05
80.500
6
80.509
2
80.511
7
80.516
3
80.524
5
80.528
9
80.527
3
80.495
2
80.488
4
80.477
1
80.474
9
80.473
7
80.473
6
80.477
2
154.64
174
10:08
P5
61
P5
20
0
10:30
P5
11:57
11:52
P5
NLEG
14
NLEG
15
NLEG
16
NLEG
17
NLEG
18
NLEG
19
NLEG
20
16:30
P6_Ice
34.067
7
34.057
5
34.057
5
34.017
3
33.999
6
31.350
3
31.289
8
31.245
5
31.144
8
31.077
8
30.958
8
30.968
4
30.955
5
159.33
10:15
80.484
3
80.484
6
80.484
6
80.502
1
81.001
8
81.311
8
81.382
2
81.411
0
81.431
0
81.459
3
81.502
5
81.532
7
81.529
7
2019-0815
2019-0815
2019-0815
2019-0815
2019-0815
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0816
2019-0817
2019-0817
2019-0817
2019-0817
2019-0817
2019-0817
2019-0817
2019-0817
23:06
05:56
07:29
08:15
09:13
10:04
18:17
152
162.0
162.0
160.68
19
219.56
188.46
175
176
219
175
177
186.42
205.56
178
256.17
179
496.41
180
693.98
181
500
797.07
789.23
64
P6
58
315
316
317
318
319
320
321
322
323
324
TS probe
CTD
w/bottles
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
MIK-net
1500 um
Multinet
180 um
Sediment
trap
(short
term)
CTD
w/bottles
325
326
327
328
329
330
331
332
333
334
335
336
337
GO-FLO
Phytopla
nkton net
10 um
MIK-net
1500 um
MIK-net
1500 um
Multinet
180 um
Multinet
64 um
Multinet
64 um
Bongonet
180 um
Bongonet
64 um
Bongonet
64 um
CTD
w/bottles
Bongonet
180 um
Bongonet
180 um
338
TS probe
339
Box core
341
Box core
342
Box core
343
344
345
346
Box core
CTD
w/bottles
CTD
w/bottles
CTD
w/bottles
2019-0817
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0818
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
2019-0819
23:02
P6
06:33
P6
07:52
08:07
08:20
08:34
08:48
09:04
P6
P6
P6
P6
P6
P6
11:30
P6
11:49
P6
12:30
P6
13:53
P6
14:47
P6
17:47
18:33
19:32
20:26
21:48
22:51
P6
P6
P6
P6
P6
P6
00:08
P6
01:07
P6
02:27
P6
02:47
P6
03:56
P6
09:01
P6
11:22
P6
13:01
P6
15:02
P6
NLEG
22
NLEG
23
NLEG
24
16:53
18:57
22:24
81.549
8
81.549
5
81.551
4
81.552
1
81.552
8
81.553
7
81.554
8
81.556
2
81.570
5
30.958
8
31.160
5
31.168
4
31.170
0
31.170
9
31.171
6
31.171
4
31.169
7
31.218
5
865.44
5
834.68
182
839.88
83
841.87
84
844.43
85
848.7
86
853.44
87
860.71
88
860.71
65
81.572
0
81.574
8
81.576
2
31.212
8
31.245
1
31.325
9
1155.7
5
1224.9
1
1026.4
6
183
81.576
5
81.563
8
81.561
2
81.559
5
81.560
4
81.566
5
81.573
3
81.580
8
81.585
0
81.586
5
81.586
2
81.584
2
81.545
2
81.563
2
81.540
0
81.534
6
81.590
5
81.616
5
81.683
0
31.387
4
31.518
5
31.526
0
31.518
8
31.499
3
31.472
4
31.468
6
31.487
2
31.519
5
31.570
7
31.582
7
31.621
2
30.847
5
30.887
0
30.875
9
30.957
0
30.740
9
30.652
9
30.522
5
1036.9
1
856.29
90
843.73
92
841.06
93
848.67
94
894.92
95
989.02
96
1111.6
5
1099.7
8
97
831
50
0
50
0
50
0
50
0
50
0
600
0
1000
0
400
0
750
0
300
0
750
0
750
0
750
0
650
0
200
66
89
91
184
1099.2
1089.0
7
98
979.27
6
856.66
1036.7
6
22
829.08
24
806.3
1545.5
7
25
185
1950.0
186
2812.6
187
200
99
23
1950
59
347
348
349
351
352
353
354
355
356
357
359
360
361
362
363
364
365
366
368
369
370
371
372
Bongonet
180 um
Bongonet
180 um
Active
water
sampler
Sea ice
work
MIK-net
1500 um
MIK-net
1500 um
CTD
w/bottles
WP2 90
um
WP2 90
um
Bongonet
180 um
MIK-net
1500 um
Sediment
trap
(short
term)
MIK-net
1500 um
CTD
w/bottles
Phytopla
nkton net
10 um
Multinet
180 um
Multinet
180 um
Multinet
64 um
Multinet
64 um
CTD
w/bottles
Bongonet
180 um
Bongonet
64 um
Bongonet
64 um
CTD
w/bottles
373
TS probe
Sediment
trap
(short
term)
374
GO-FLO
375
Box core
376
Box core
378
Box core
2019-0820
2019-0820
2019-0820
2019-0820
2019-0820
2019-0820
2019-0820
2019-0820
2019-0820
2019-0820
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
2019-0821
08:03
P7
08:41
P7
09:25
P7
07:30
P7_Ice
12:54
P7
14:58
P7
18:08
P7
23:16
P7
23:39
P7
23:54
P7
00:15
P7
03:03
P7
03:30
P7
03:43
P7
04:28
P7
04:56
P7
06:34
07:49
09:52
11:11
P7
P7
P7
P7
11:51
P7
13:06
P7
14:40
P7
17:33
P7
19:55
P7
81.984
8
81.983
6
29.987
0
29.969
5
3272.9
7
3269.4
7
81.982
7
81.986
1
81.981
9
81.981
1
81.969
3
81.950
9
81.950
0
81.949
4
81.948
3
29.943
7
29.997
5
29.794
2
29.728
7
29.621
7
29.307
4
29.285
8
29.272
9
29.254
8
3274.0
7
3272.8
2
3290.8
7
3290.8
7
3293.2
5
81.932
2
81.928
3
81.926
2
29.157
3
29.146
0
29.139
6
3312.0
4
3301.7
7
81.918
4
81.913
3
81.894
8
81.882
6
81.865
4
81.857
6
81.854
2
81.846
2
81.829
1
81.788
2
81.759
1
29.115
1
29.097
5
29.029
1
28.968
2
28.857
7
28.806
5
28.792
7
28.785
6
28.801
7
28.784
0
28.703
7
3289.4
8
3288.5
3
3254.0
8
3233.4
6
3306.9
3313.3
4
3315.2
1
3317.3
9
3299.7
100
101
68
102
1250
0
103
2000
0
104
70
0
105
70
0
106
100
0
107
100
0
100
0
1000
0
1000
0
1000
0
300
0
188
70
3280
3312
109
189
110
3300
111
112
113
114
3136.7
190
3120.7
3120
115
3116.7
3068.8
7
2993.8
2
2897.9
5
2767.6
8
116
117
191
2830
7
70
2019-0822
2019-0822
2019-0822
2019-0822
2019-0822
00:40
P7
00:48
P7
02:12
P7
08:34
P7
12:49
P7
81.737
5
81.737
1
81.727
6
81.670
7
81.668
3
28.648
8
28.636
7
28.671
2
28.789
0
28.811
8
2712.9
7
2725.7
8
2648.9
1
2349.3
1
2329.0
2
2713
72
26
27
28
60
379
380
TS probe
Sea ice
work
381
Box core
384
Box core
385
386
Box core
CTD
w/bottles
2019-0823
2019-0823
2019-0823
2019-0823
2019-0823
2019-0824
01:07
SICE4
08:10
SICE4
10:18
SICE4
16:55
SICE4
20:12
SICE4
03:02
SICE4
NW
Spitsbergen
NW
Spitsbergen
NW
Spitsbergen
387
EM302
2019-0825
CTD
w/bottles
2019-0825
EM302
2019-0825
11:30
388
13:52
389
14:45
81.980
9
81.978
4
81.985
1
81.988
8
81.985
8
81.995
7
80.380
6
24.293
8
24.473
2
24.530
1
24.735
8
24.804
5
24.995
2
12.167
4
3603.3
3
3599.7
6
3603.7
5
3603.7
5
3604.0
8
3657.1
9
NaN
8
80.589
0
12.054
5
19.57
193
80.594
4
12.052
6
NaN
77
74
29
31
32
192
3195
76
61
Table A1.2. Nansen Legacy transect. Full station list including Process
stations (P) and transect CTD stations (NLEG).
Nansen Legacy transect stations
Station
name
Longitude
(decimal)
Latitude
(decimal)
Longitude
(degrees)
Latitude
(degrees)
Depth
(m)
Type of station
Comment
P7/
NLEG25
NLEG24
30,0000
82,0000
82 00.00 N
3000
30,5258
81,6828
81 40.97 N
2807
A-TWAIN
NLEG23
30,6647
81,6165
81 36.99 N
1913
A-TWAIN
NLEG22
30,7667
81,5895
81 35.37 N
1551
A-TWAIN
P6/
NLEG21
NLEG20
30,8548
81,5463
81 32.78 N
865
30,9618
81,5025
81 30.15 N
698
A-TWAIN,
shelfbreak
A-TWAIN, shelf-break
NLEG19
31,0775
81,4580
81 27.48 N
486
A-TWAIN, shelf-break
NLEG18
31,1448
81,4318
81 25.91 N
264
A-TWAIN, shelf-break
NLEG17
31,2468
81,4107
81 24.64 N
204
A-TWAIN, shelf-break
NLEG16
31,2933
81,3822
81 22.93 N
189
A-TWAIN, shelf-break
NLEG15
31,3487
81,3098
81 18.59 N
195
NLEG14
34,0000
81,0000
81 00.00 N
216
P5/
NLEG13
NLEG12
34,0000
80,5000
80 30.00 N
167
34,0000
80,0000
80 00.00 N
209
P4/
NLEG11
NLEG10
34,0000
79,7500
79 45.00 N
332
34,0000
79,5000
79 30.00 N
293
NLEG09
34,0000
79,2500
79 15.00 N
215
NLEG08
34,0000
79,0000
79 00.00 N
266
P3/
NLEG07
NLEG06
34,0000
78,7500
78 45.00 N
301
34,0000
78,5000
78 30.00 N
180
Arctic Price nearshelf-station
Vardø-N,
Kvitøybanken
Vardø-N,
Kvitøybanken
Vardø-N,
Kvitøybanken
Vardø-N, trench east
of Kong Karl
Vardø-N, trench east
of Kong Karl
Vardø-N, trench east
of Kong Karl
Vardø-N, trench east
of Kong Karl
Vardø-N, trench east
of Kong Karl
Vardø-N, Storbanken
NLEG05
34,0000
78,0000
78 00.00 N
193
Vardø-N, Storbanken
P2/
NLEG04
NLEG03
34,0000
77,5000
77 30.00 N
190
34,0000
77,0000
77 00.00 N
154
Vardø-N,
Storbanken
Vardø-N, Storbanken
NLEG02
31,2200
76,5000
76 30.00 N
308
Vardø-N, Storbanken
P1/
NLEG01
31,2200
76,0000
030 00.00
E
030 31.55
E
030 39.88
E
030 46.00
E
030 51.29
E
030 57.71
E
031 04.65
E
031 08.69
E
031 14.81
E
031 17.60
E
031 20.92
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
034 00.00
E
031 13.20
E
031 13.20
E
76 00.00 N
322
Process study
station P7
Process study
station P6
Process study
station P5
Process study
station P4
Process study
station P3
Process study
station P2
Process study
station P1
Vardø-N,
Hopendjupet
62
Table A1.3. Cruise participants (team leaders in bold)
Name, institution
Inst.
Nansen Legacy tasks
1
2
3
Marit Reigstad
Tove Gabrielsen
Miriam Marquardt
UiT
UNIS
UiT
4
Marti Amargant, PhD
UiT
5
Oliver Müller, PD
UiB
6
Lasse Olsen, PD
UiB
7
Bente Edvardsen
UiO
8
Karoline Saubrekka,
PhD
Anna Vader
UiO
10
Griselda
Anglada
Ortiz, PhD
UiT
11
Anette Wold
NPI
12
Christine Gawinski,
PhD
UiT
13
Konrad Karlsson, PD
UNIS
14
15
Padmini Dalpadado
Angela Stippkugel,
PhD
Kasia Dmoc
IMR
NTNU
Cruise leader, sediment traps
Cruise leader, sample labeling
Water budget, sea ice work planning,
filtration (Chl a, POC), sed traps, sea
ice meiofauna
Prim prod, 14C incubations. In-situ,
P vs I and P vs T curves,
phytoplankton
Microbiology/ BP, flow cytometry,
grazing exclusion exp
Abundance
of
phytoplankton,
heterotrophic flagellates, bacteria
and virus, bacterial production
DNA/RNA filtrations, sampling for
microscopy etc
DNA/RNA filtrations, sampling for
microscopy etc
Metabarcoding,
metatranscriptomics, filtration chl a,
Planning sea ice work
Ocean acidification, zooplankton
(foraminifera, pteropods), sediment
surface
Mesozooplankton
sampling,
biomass, POM for CSIA of FA
Zooplankton
sampling,
small
zooplankton secondary production
(grazing, egg production)
Mesozooplankton,
grazing
experiments,
respiration
measurements
Macrozooplankton
Mesozooplankton
grazing
experiments (dilution experiments).
Mesozooplankton zooplankton
9
16
17
UNIS
NPI/IOPAS
Poland
UNIS
18
Robynne Nowicki,
PhD
Yasemin Bodur, PhD
19
Bodil Bluhm
UiT
20
Eric Jorda, PhD
Nord
21
Arunima Sen, PD
Nord
22
Fekadu Yadetie, PD
UiB
UiT
Sea
ice
work
Weapon
training
Work
package
x
x
x
RF3
RF3
RF3
x
(x)
RF3
x
x
RF3
x
x
RF3
x
RF3
x
x
RF3
RF1/RF2
x
x
RF3
RF3
RF3
RF3
RF3
x
RF3
Ecotox, Zooplankton and fish
Sediment traps, filtration, sediment
surface sampling
Benthic sampling. Stable isotope
sampling (for PD UiT/HI), NL
museum voucher collection, benthic
meiofauna
(UiT/UNIS
PhD),
invertebr. for OC content (Ecopath
need), ice meiofauna processing
(with Miriam)
Living benthic forams and benthic
meiofauna,
experiments
with
Arunima
benthic respiration, experiments with
Eric
Fish sampling from trawling, liver
slice culture and tissue sampling,
helping out inzoo/fish/benthic labs
RF3
x
(x)
RF2
RF3
(x)
RF3
RF2/RF3
RF3
RF2
63
23
Nadja Brun, PD
Woods
Hole, USA
24
Siv Hoff, PhD
UiO
25
Leif Christian Stige
UiO
26
Ane Haarr, PhD
UiO
27
UiO
28
29
Julia Giebichenstein,
PhD
Rita Amundsen
Håvard N. Liholt
30
Jack Garnett, PhD
Lancaster,
UK
31
Nicolas
Sanchez,
PD
Stephen
Kohler,
PhD
Ronald Pedersen
Jon Leithe
NTNU
Christian Morel
Jan
Vidar
Nordstrand
Jan Bremnes
France
IMR
Trace metals and perhaps DOC
characterization
Trace metals and perhaps DOC
characterization
Acoustics, TS-probe, moorings
Safety, sea ice work training, Sea ice
observations, polar bear watch on
ice, glider
Photographer (photo, video, drone)
Instrument chief KPH
IMR
Instrument technician KPH
32
33
34
35
UiO
UiO
NTNU
IMR
NPI
Fish sampling from trawling, liver
slice culture and tissue sampling,
helping out in zoo/fish/benthic labs
Ecotox sampling (zooplankton /fish)
and helping out in zoo/fish/benthic
labs
Ecotox sampling (zooplankton /fish)
and helping out in zoo/fish/benthic
labs
Ecotox sampling (zooplankton /fish)
and helping out in zoo/fish/benthic
labs
in situ sampling of water filtering,
ecotox zooplankton and fish
Ecotox zooplankton and fish
Ecotox sampling (zooplankton /fish)
and helping out in zoo/fish/benthic
labs
PFOS in ice cores
RF2
RF2
RF2
RF2
x
RF2
x
x
RF2
RF2
x
EISPAC,
CAO
project
RF2
x
RF2
x
x
x
RF3
RA-A
RA-D
64
Table A1.4. Internship on sea ice.
List of non- or less experienced PhDs and post docs that took part in sea ice-based sampling,
handling, data collection and safety duties and achieved competence on methodologies and
practical work.
Name
Sea ice work practice
Ane Haarr (UiO)
Core handling, filtered sea water addition on board, polar bear watch
Angela Stippkugel (NTNU)
Drilling hole for under ice sampling, under ice water sampling, polar
bear watch
Christine Gawinski (UiT)
Ice core note keeper, polar bear watch
Eric Jorda (Nord)
Drilling hole for under ice sampling, under ice water sampling, polar
bear watch
Håvard N. Liholt (UiO)
Polar bear guard, drilling hole for under ice sampling, polar bear watch
Jack Garnett (Lancaster Sea ice coring, Melt pond and under ice water sampling, polar bear
Univ.)
watch
Julia Giebichenstein (UiO)
Ice core note keeper, sea ice coring, core cutting, polar bear watch
Karoline Saubrekka (UiO)
Sea ice coring, core handling, polar bear watch, logistics team
onboard, filtration team
Konrad Karlsson (UNIS)
Sea ice coring, polar bear watch
Márti Amargant (UiT)
Sea ice coring, Melt pond and under ice water sampling, polar bear
watch
Oliver Müller (UiB)
Sea ice coring, core cutting, polar bear watch
Robynne Nowicki (UNIS)
Polar bear guard, drilling hole for under ice sampling, under ice CTD
and light, polar bear watch
Siv Hoff (UiO)
Core handling, filtered sea water addition on board, logistics team
onboard, polar bear watch
Stephen Kohler (NTNU)
Sea ice coring, Melt pond and under ice water sampling
Yasemin Bodur (UiT)
Ice core note keeper, sea ice coring
65
Table A1.5. Working hours and cabin distributions
Working hours 0400-1200,
1600-2000
Marit Reigstad
Lasse Olsen
Leif Chr. Stige
Ronald Pedersen
Padmini Dalpadado
Christian Morel
Robynne Nowicki
Anna Vader
Eric Jorda
Christine Gawinski
Karoline Saubrekka
Fekadu Yadetie
Anette Wold
Siv Hoff
Nicholas Sanchez
Bente Edvardsen
Yasemin Bodur
Nadia Brun
Working hours 2000-0400,
1200-1600
Oliver Müller
Jon Leithe
Tove Gabrielsen
Jack Garnett
Márti Amargant
Kasia Dmoc
Miriam Marquardt
Konrad Karlsson
Angela Stippkugel
Griselda Anglada Ortiz
Håvard N. Liholt
Bodil Bluhm
Julia Giebichenstein
Stephen Kohler
Rita Amundsen
Arunima Sen
Ane Haarr
Cabin
605
419
421
468
456
458
327
329
330
332
333
335
377
379
380
382
383
385
386
66
Table A1.6. Lab-use during the Nansen Legacy Q3 cruise
Lab no.
102
202
301
Name of laboratory
Clean
seawater
sample room
Gravity meter room
Chilled lab
302
Dry lab common
303
Wet lab common
307
Isotopic lab
308/309
310
Wet lab biology
Catch sample room
311
Environmental
toxicology lab
Filtration lab
Education lab
316
317
319
320
322
312
313
314
315
323
325
701
703
KPH
Thermax
Fridge 1
General description
Use on this cruise
Underway
survey Instrument crew
measurements
Not in use
Mesozooplankton, microbial Angela,
Christine,
exp. preparation lab
Oliver, Konrad
Sea water filtration, POC, Miriam,
Yasemin,
Chl a, virus, bacteria, Oliver, Lasse
fluorometer
Meso
and Anette, Padmini, Kasia
D,
Rita,
Robynne,
macrozooplankton
Griselda
Production biology
Marti
(PP),
Lasse,
Oliver (BP)
Fish ecotox sampling
Fekadu, Nadja
Fish and benthos sampling/ Leif Chr., Siv, Ane,
sea ice equipment
Håvard, Robynne
Trace metal clean lab
Nicolas, Stephen
DNA, RNA filtration
Common use computer
work,
Microscopes,
microtome,
sample labeling
Geology Benthos
Anna, Bente, Karoline
Bente, Karoline, Miriam,
Anna, all
Wet Lab
/Benthos
Microbiology lab
Ice Lab
Cooler room
Bodil, Arunima, Eric,
Jack, Yasemin,
Ecotox filtration
Julia, Rita
Common use (°C)
Ice core handling
Plankton
experiments, Angela, Konrad
Plankton wheels (°C)
Freezer room
Frozen samples storage
Frozen
biological
material
Cooler room
Benthos exp (Temp+)(°C)
Bodil, Arunima, Eric
Cooler room
Benthos exp. (Temp.
in Bodil, Arunima, Eric,
situ),
storage
samples Yasemin,
Fekadu,
(<4°C)
Nadja
Cooler room
P-I experiments, ice core Marti, Oliver, ice work
melting (°C)
Freezer Ice Samples For ice samples
Frozen material (nonbio)
Observation Central Common
Instrument engineers,
CTD operator, chief
scientists
Large
conference Common
Everyone for computer
room
work
Small
conference Common
Everyone for computer
room
work
303 Wet lab
Zooplankton,
temporary Christine
storage of fresh samples
67
KPH
Thermax
Fridge 2
UiT
Thermax
Fridge 3
UiT
Thermax
Fridge 4
UiT
Thermax
Fridge 5
303 Wet lab
Zooplankton,
temporary Christine
storage of fresh samples
CTD Hangar
Microbial experiments
CTD Hangar
Zooplankton production exp. Christine
CTD Hangar
Zooplankton production exp. Christine
Lasse and Oli
68
Appendix 2: Blogs
Blogs written by cruise participants in collaboration with the project office and published on the
Nansen Legacy Blog at Forskning.no during the Nansen Legacy seasonal Q3 cruise 2019.
Published on Forskning.no/blogg-Arven etter Nansen, August 2019
No
Title
Author(s)
1
Året rundt i Barentshavet – on the Marit Reigstad & Lena
background for the cruise and seasonal Seuthe
studies
2
En båt lastet med morgendagens forskere Lena Seuthe
– why we train a new generation Arctic
scientists
3
Ingen mann over bord – on safety issues Jon Leithe
in the Arctic
4
Når alle er i samme båt – on how a vessel Marit Reigstad
promotes science collaboration
5
Men jeg venter på is
Jon Leithe
6
Lærlinger på isflak (Internship på havisen) Marit Reigstad
7
Risikerer vi å kvele havets bunndyr? (A Arunima Sen
breath of air…..20,000 leagues under the
sea)
8
Så hvitt og pent, men ikke rent (Why it’s Jack Garnett
important to study contaminants in the
Arctic)
9
Å jobbe med det usynlige – eller hvorfor Oliver Müller and Lasse
fotografen ikke tar bildet av arbeidet vårt Olsen
10
Stressmestring – Om kofferter og Nadja Brun
miljøgifter på avveie. Dealing with stress On lost luggage and found contaminants
11
På isen i Nansenbassenget
Tove M. Gabrielsen
12
Isarbeid på trygg grunn
Jon Leithe
Status
Publ. 5/8
Publ. 13/8
Publ. 14/8
Publ. 30/8.
Publ. 19/8
Publ. 20/8
Publ. 21/8
Publ. 15/8
Publ. 23/8
Publ. 28/8
Publ. 27/8
Publ. 29/8
69
Appendix 3 Datasets
Shipmounted datasets
70
Who
Cruise participant
KHP instrumentation
KHP instrumentation
KHP instrumentation
KHP instrumentation
KHP instrumentation
KHP instrumentation
KHP instrumentation
Sample info
PI
Sample type
Randi Ingvaldsen
Tom Arne Rydningen
Øystein Godøy
Helge Sagen
Randi Ingvaldsen
Agneta Fransson
Marit Reigstad
Intended
method
Analyses
Relevance to Nansen
Legacy
Data
Where will When are
Ask for
Analysis
analyses be
analyses
Sharing within
Publishing embargo of
Parameter protocol
Dataset
done
planned for
RF
Task/Subtask
project
data
data?
If yes, why?
Acoustic data surveying fish and xooplankton, logged continuously
2019, NIRD
2020
Multibeam mapping
post cruise on NIRD
2020 no
Air and sea temperature (8 m depth), air pressure, wind speed and direction, rpost cruise on NIRD
2020
Temperature, salinity, density and fluorescence at 4m, logged continuously post cruise on NIRD
2020
Currents in the upper ~500 m legged continuously
post cruise on NIRD
2020
pCO2 measured from the underway system, 4 m intake during the open waterpost cruise on NIRD
2020
Temperature, salinity, density fluorescence, oxygen profiles from NLEG station
post cruise on NIRD
2020 no
Comments
EK80
EM302
Weather station
Thermosalinograph
ADCP 150 kHz
pCO2 underway
CTD
Datasets
71
Who
Cruise participant
Sample info
Anna Vader
Anna Vader
Chlorophyll a
Parameter
Chl a total and > 10um
biomass
Anna Vader
Anna Vader/Tove M.
Gabrielsen
Microbial diversity (DNA and
RNA)
rRNA
Protist diversity
Microbial activity (RNA)
Protist activity
Anna Vader
Anna Vader
Bodil Bluhm
PI
Anna Vader/Tove M.
Gabrielsen
Anna Vader/Bodil
Bluhm/Camilla Svensen/Kim
Præbel
Anna Vader/Bodil
Bluhm/Camilla Svensen/Kim
Præbel
Ane Haarr
Ketil Hylland
Ane Haarr
Ketil Hylland
Siv Hoff, Leif Chr. Stige Sissel Jentoft
Siv Hoff, Leif Chr. Stige Sissel Jentoft
Siv Hoff, Leif Chr. Stige Sissel Jentoft
Bodil Bluhm, Arunima
Sen, Eric Jorda
Paul Renaud
Bodil Bluhm, Arunima Elisabeth Alve & PhD student
Sen, Eric Jorda
to be hired
Elisabeth Alve & PhD student
to be hired (Foraminifera),
Bodil Bluhm, Arunima Bodil Bluhm (metazoan
Sen, Eric Jorda
meiofauna)
Bodil Bluhm, Arunima
Sen, Eric Jorda
Paul Renaud
Eric Jorda, Arunima
Sen, Bodil Bluhm
Padmini Dalpadado
Eric Jorda, Arunima Sen,
Henning Reiss, Paul Renaud
Espen Bagøien, Post Doc
Bodil Bluhm, Arunima
Sen, Eric Jorda
Lise Øvreås
Robynne Nowicki
Anette Wold; Kasia
Dmoch
Anette Wold; Konrad
Karlsoon
Øystein Varpe, Katrine borga,
Geir Wing Gabrielsen
Janne Søreide & Camilla
Svensen
Janne Søreide
Sample type
Plankton sample
Bile (of polar cod, capelin,
atlantic cod and american
plaice)
Blood (of polar cod, capelin,
atlantic cod and american
plaice)
Tissue (of capelin, polar cod
and cod)
Intended method
mRNA
64 um plankton sample for
DNA analysis of diet of small
mesozooplankton
Benthos sample from box core
for DNA analysis of benthic
diets and prey based on DNA
quantification of PAH
metabolites
quantification of DNA strand
breaks
Genomic analysis (individual
level)
Relevance to Nansen Legacy
implementation plan
Analyses
Zooplankton diet/prey
diversity
Benthos diet/prey diversity
concentration of PAH
metabolites from individual
fish
Analysis
protocol
Dataset
Where will
analyses be
done
NL v4 7.11.1 Chl a total and > 10um biomass
Onboard KPH
Microbial eukaryote diversity
across season based on rRNA
metabarcoding
UNIS
Metatranscriptomics and
quantification of gene expression of
select genes across season
UNIS
Diversity of small zooplankton
prey, possibly also zooplankton
genetic identification
UNIS/UiT
Diversity of zoobenthos prey,
possibly also genetic identification
of benthis species
UNIS/UiT
percent DNA damage in
individual fish
De novo genome assembly
Population-genetic data
Tissue (of capelin, polar cod Genomic analysis (population (diversity) along climate
and cod)
level)
gradient in two seasons
Data
When are
analyses planned
for
RF
Task/Subtask
Sharing within
project
Publishing
data
Ask for
embargo of
data?
During cruise
RF3
T3-1.1
Sep-19
Oct-19
No
2019-20
RF3
T3-1.1/T3-1.2/T31.3/T3.2.1/
2020
2020
No
2020
RF3
T3-2.2
2021
2021
No
2019-21
RF3
T4-4.1
2021
2021
Yes, possibly
2019-21
RF3
T4-4.1
2021
2021
Yes, possibly
UiO/NIVA
2019-2022
RF2
T2-2.3
2020-2022
2020-2022
will be analysed by
PostDoc to be hired
percent DNA damage in individual
fish
UiO
2019-2022
RF2
T2-2.3
2020-2022
2020-2022
will be analysed by
PostDoc to be hired
Whole-genome sequences
UiO
2019-2022
RF2
T2-3.1
2020-2022
2020-2022
Yes, possibly
PhD project
Whole-genome sequences
UiO
2019-2022
RF2
T2-3.1
2020-2022
2020-2022
Yes, possibly
PhD project
Population-genomic statistics
UiO
2019-2022
RF2
T2-3.1
2020-2022
2020-2022
Yes, possibly
PhD project
Sediment pigments
APN
2019-2021
RF3
T3-1.2
RF1, RF3
RF1?, RF3 T3-1.2 2021-2023
2021-2023
possibly
Sediment pigment
Fluorometric analysis
Grain size
Laser Diffraction Particle Size
Analyzer (grain size);
combustion in muffle furnace
(TOC, TN), IRMS (d13C/d15N)
sediment grain size fractions,
sediment total organic carbon
(TOC, %), sediment total
nitrogen (TN, %), d13C (per
mil), d15N (per mil)
(10.3.3)
sediment grain size fractions,
sediment total organic carbon
(TOC, %), sediment total nitrogen
(TN, %), d13C (per mil), d15N (per
mil)
UiO / UK
2020-2022
UiO
(Foraminifera),
UiT / IOPAS
(metazoan
meiofauna)
2020-2022
RF1, RF3
2021-2023
2021-2023
possibly
?
RF3, CAO
?
?
yes
2019-2020
RF3
2019-2021
RF3
T3-1.1; T3-2.1
2019-2021
RF3
T3-1.1, T3-1.2, T31.3, T3-4.1
2020-2021
RF2
T2-2.5
2020
RF3
T3-1.1 & 2.1
T3-2.1 & 2.2
2021-2022
2021-2022
RF3
T3-1.1 & 2.1
T3-2.1 & 2.2
2021-2022
2021-2022
(10.3.18)
Meiofauna abundance
Sorting and morphological
identification
number of (taxon) / cm2
(10.3.5)
Foraminifera abundance, diversity
and composition; metazoan
meiofauna abundance, diversisty
and composition
Sediment pigments
HPLC
mg pigment type / m2
(10.3.1)
sediment pigments HPLC
UK (?)
Sorting and morphological
identification
number of (taxon) / cm2,
diversity indexes, community 10.3.6
analysis
/10.3.7
Macrofauna abundance, diversity
and composition; metazoan
macrofauna abundance, diversisty
and composition, community
analysis
Nord/IOPAN
Macrofauna diversity and
abundance
Macrozooplankton
Microbial diversity
(sediment)
Macrozooplankton and fish
Mesozooplankton
taxonomy; Small
mesozooplankton
taxonomy
Mesozooplankton biomass;
Small mesozooplankton
biomass
Sorting and morphological
identification, isotopic
analysis
taxonomic composition,
biomass
Metabarcoding
taxonomic composition,
abundance and distribution
NL v4
7.12.19
Will be analysed partly
by PostDoc to be hired
august 2020
Will be analysed by
PostDoc to be hired
august 2020
Will be analysed by PhD
student to be hired fall
PhD project 2019
Sample type not found
in log sheet, should be
PhD project added
concentration of PAH metabolites
from individual fish
Population-genetic data
(linked to function) along
climate gradient in two
seasons
mg Chl a / m2, mg
phaeopigment / m2
Tissue (of capelin, polar cod Investigation of candidate
and cod)
genes
If yes, why? Comments
Key organims, e.g. Euphausiids and
amphipods, Map spatial
distribution, taxonomic
compostion and biomass indices,
temporal and spatial variation in
abundance, biomass, diveristy
IMR
Microbial eukaryote diversity in
sediment across season based on
metabarcoding
UiB
Energetics analysis using bomb Energy content; pollutant
calorimetry and pollutant
concentration of polar cod
remobilization analysis
brain
Seasonal variation in
macrozooplankton and fish energy
content; Seasonal remobilization of
pollutants in polar cod
UiT/UNIS/UiO
Species identification &
counts using a
stereomicroscope.
ind/m3 & mg dry mass/m3
using species-specific dry mass
values from published sources
Mesozooplankton abundance
(ind/m3), biomass (mg dry
mass/m3) and species composition
(species list)
IOPAS
Dry total sample at 60 C &
weight
Total biomass (mg dry
weight/m3)
Total biomass of mesozoopankton
UNIS
2019
2020 2020-2022
T3-1.1, T3-1.2, T31.3
2021-2023
No
PhD project
(foraminifera
)
PhD project
PhD project
(vert flux)
2021-2023
2019-2022
2020-2022 No
2021 ?
Unsure
2021 2021-2022
Unsure
PhD project
Anette Wold; Kasia
Dmoch
Anette Wold; Kasia
Dmoch; Julia
Giebichenstein
Anette Wold; Kasia
Dmoch
Anette Wold; Kasia
Dmoch
Anette Wold
Camilla Svensen
Philipp Assmy; Doreen
Kohlbach
Philipp Assmy; Doreen
Kohlbach
Philipp Assmy; Doreen
Kohlbach
Philipp Assmy; Pedro Duarte
Fekadu Yadetie, Nadja
Brun
Anders Goksoyr
Gelatinous zooplankton
Species identification &
counts
Stable isotopes
Fatty acids
d13C; d14N (species specific?)
Fatty acid of total lipid (or
specific lipid classes?)
Bente Edvardsen,
Karoline Saubrekka
Karoline Saubrekka,
Bente Edvardsen
Karoline Saubrekka,
Bente Edvardsen,
Anette Wold
Bente Edvardsen, Karoline
Edvardsen, Luka Supraha
Bente Edvardsen, Karoline
Saubrekka
Luka Supraha, Karoline
Saubrekka
Liver tissue (of capelin, polar
cod and cod, long rough
dab)
Calanus spp (C.
finmarchicus, C.
hyperboreus, C. glacialis)
Protist diversity (net hauls
and Vivaflow)
Microalgal diversity by
cultures
Coccolithophores on PC
filters
Fixed water samples from
Philipp Assmy, Rolf Gradinger, Niskin bottles 6 depths and
Bente Edvardsen
ice stations
Martí Amargant-Arumí Rolf Gradinger
Martí Amargant-Arumí Rolf Gradinger
Martí Amargant-Arumí Rolf Gradinger
Relative amount of fatty acid
HBIs
Particulate absorbtion
Gene experession analysis
(RNA-seq, qPCR), proteomics,
EROD assay, vitellogenin assay,
viability, possibly chemical
analysis
Gene expression
Fekadu Yadetie, Nadja
Gene experession analysis
Brun
Anders Goksoyr
(RNA-seq, qPCR)
Bente Edvardsen;
Karoline Saubrekka,
Bente Edvardsen; Anna Vader; Microbial diversity (DNA and
Anna Vader
Tove M. Gabrielsen
RNA)
metabarcoding using rDNA
Bente Edvardsen;
Karoline Saubrekka
ind/m3; ml/m3
Radioactively labelled algae
on GF/F filters
Radioactively labelled algae
on GF/F filters
Isotopically labelled algae
on GF/F filters
Microscopy
Culture isolation and
charcterisation
Scanning electron
microscoppy (SEM)
Counts and
volume
measurments
done onboard;
Species
Gelatinous zooplankton abundance identification
(ind/m3), volume & species
NTNU (Sanna
composition (species list)
Majaneva)
Stable isotopes of POM, main
zooplankton taxa & fish
UiO
AWI (in
collaboration
with Martin
Graeve)
Fatty acids of POM, main
zooplankton taxa & fish
HBI of POM, main zooplankton taxa
& fish
?
T3-1.3
2021-2022
2021-2022
2021-2022
2021-2022
Stable isotopes & fatty
acid samples have been
taken of the same taxa of
mesozooplankton,
macrozooplankton &
fish. These two datasets
will be shared between
Julia Giebichenstein,
Robynne Nowicki &
Doreen Kohlbach. Stable
isotopes have been
sampled by Julia
Giebichenstein and will
be analysed at UiO. Fatty
acids will be analysed by
NPI (Doreen Kohlbach)
Dataset shared with
Ecotox group (see
comment for Stable
istope)to be finalised by
Philipp Assmy & Doreen
Kohlbach
RF3
T3-1.3
2021-2022
2021-2022
RF3
T3-1.3
2021-2022
2021-2022
UiB
2019-2020
RF2
T2-2.4
2020
2020 No
UiB
2019-2020
RF2
T2-2.4
2020
2020 No
2020 2020-2021
Taxonomy and phylogeny,
improved rDNA reference
sequence database of protists
in the Arctic
taxonomic composition,
abundance and distribution
Microalgal strains, morphologcal
and genetic (rDNA operon)
descriptions, phylogenetic and
physiological characterisation.
Contribution to reference sequence
databases.
UiO
Coccolithophore diversity,
dynamics and distribution
UiO
UiO and UNIS
2019-2021
RF3
T3.1.1, T3.1.2,
T3.2.1
UiO
2019-2020
RF3
T3.1.1, T3.1.2,
T3.2.1
2019-2020
RF3
2019-2020
RF3
Utermöhl cell counts under
the microscope
Cell abundances of protists >
10 µm
Primary production in situ
incubations
Light intensity vs.
Photosynthesis curves
Primary production rate (14C
uptake)
Primary production rate (14C
uptake)
Phytoplankton/protist abundance IOPAS
Vertical profiles of primary
production across latitude and
seasons
UiT
Primary production response to
various light intensitites
UiT
d13C, d15N
Ratios of Carbon and Nitrogen
stable isotopes before and after
incubations, F-ratios of primary
production
Nitrogen uptake in situ
incubations
RF3
T3-1.1 & 2.1
T3-2.1 & 2.2
2020
taxonomic composition and
distribution
Protist diversity
2020
RF3
2020
Transcriptomics and quantification
of selected genes and proteins
across species
Transcriptomics and quantification
of selected genes and proteins
across species
Protist diversity, proportional
abundance, seasonal dynamics and
distribution
LM (live), SEM, TEM (fixed)
micrographs of protists. Taxonomic
descriptions
Gene expression
2020
Gelatinous zooplankton
were picked out from
the standard MIK net,
each taxa was counted,
weighted (wet weight)
and measured volume. A
picture was tken of each
taxa. Individuals were
picked out and stored
on ethanol when time
permit. Sample type not
found in log sheet,
should be added.
?
T3.1.1, T3.1.2,
T3.2.1
T3.1.1, T3.1.2,
T3.2.1
2019-2020
RF3
2019-2020
RF3
2019-2020
RF3
T3-1.1/T3-1.2/T31.3/T3.2.1/
T3-1.1/T3-1.2/T31.3/T3.2.1/
2019-2020
RF3
T3-1.1/T3-1.2/T31.3/T3.2.1/
Yes
Part of Karoline
PhD-project Saubrekkas thesis
2021-2022
Yes, possibly
Part of Karoline
PhD-project Saubrekkas thesis
2021-2022
Yes, possibly
2021 Yes, possibly
T3.1.1
Part of Karoline
PhD-project Saubrekkas thesis
Part of Karoline
PhD-project Saubrekkas thesis
We would like to
compare metabarcoding
results with
micoscopical cell counts
in Karoline Saubrekkas
PhD-project
2022
2020
2021 Yes
PhD-project
2020
2021 Yes
PhD-project
2020
2021 Yes
PhD-project
Megafauna, macrofauna
Reciprocal transplant
experiments on the primary
producers community of
Atlantic and Arctic waters
Sediment community oxygen
uptake experiments
determined carbon content
using combustion
Bodil Bluhm, Arunima Bodil Bluhm, Andreas
Sen, Eric Jorda
Altenburger
Megafauna taxonomy
Museum archival
Bodil Bluhm, Arunima
Sen, Eric Jorda
Bodil Bluhm, Lis Jørgensen
d13C / d15N organisms
(mostly benthic)
IRMS coupled to C/N analyser
Arunima Sen, Eric
Jorda, Bodil Bluhm
Elisabeth Alve, Paul Renaud,
Henning Reiss
d13C / d15N
IRMS coupled to C/N analyser
d13C, d15N
Uptake of isotopically
enriched algae in respiration
incubation experiment
Arunima Sen, Eric
Jorda, Bodil Bluhm
Paul Renaud, Henning Reiss
Nutrient concentrations in
incubations
nutrient analyzer
Macronutrient concentrations
in bottom water before and
after incubation
Martí Amargant-Arumí Rolf Gradinger
Arunima Sen, Eric
Jorda, Bodil Bluhm
Paul Renaud
Bodil Bluhm, Arunima
Sen, Eric Jorda
Torstein Pedersen
Stephen Kohler,
Nicolas Sanchez
Murat V. Ardelan, Stephen
Kohler
Griselda Anglada-Ortiz Tine L. Rasmussen
Melissa Chierici and Agneta
Griselda Anglada-Ortiz Fransson
Miriam Marquardt
Miriam Marquardt
Miriam Marquardt
Oliver Müller, Lasse
Mørk Olsen
Oliver Müller, Lasse
Mørk Olsen
Oliver Müller, Lasse
Mørk Olsen
Marit Reigstad, Gunnar
Bratbak
Fixed water samples and
Sterivex filters from
experimental bottles
Sediment community
incubations
Total mercury and
methylmercury
Cold vapor atomic
fluorescence spectrometry
(CVAFS) for THg and MeHg, or
GC-SF-IR-ICPMS for MeHg
Nutrient analyzer
µg/L
Microscopy
Gunnar Bratbak
Bacterial production of
carbon biomass
Ind/m3; ml/m3
Bacterial production rate
([2,3,4-3H] leucine) in µgC L-1d-1
Gunnar Bratbak, Aud Larsen
Microbial abundance
Gunnar Bratbak
SEM filter
Flow cytometry
Scanning electron
microscoppy (SEM)
Planktonic cell per ml
Qualitative analysis of
small plankton
Gunnar Bratbak, Jorun K. Egge,
Tatiana Tsagaraki
XRF filter
Oliver Müller, Lasse
Mørk Olsen
Gunnar Bratbak, Ruth-Anne
Sandaa
Oliver Müller, Lasse
Mørk Olsen
Nicolas Sanchez,
Stephen Kohler
Bacterial production, Flow
Cytometry, microbial
Gunnar Bratbak, Oliver Müller,
diversity, nutrient analysis,
Lasse Mørk Olsen
Grazer exclusion experiment microzooplankton diversity
Total trace elements and
Preconcentration via SeaFAST
Murat V. Ardelan
dissolved trace elements
and ICP-MS
Virus diversity
Dissolved organic matter
characterization, TOC
X-Ray Fluorescence (XRF)
Recover viruses from natural
waters via iron chloride
precipitation
Nicolas Sanchez,
Stephen Kohler
Murat V. Ardelan
Yasemin Bodur,
Miriam Marquardt
Marit Reigstad, Yasemin Bodur Chlorophyll a
HPLC-MS and TOC-L
fractionated algal pigments,
filtered through GF/F filters
from sediment trap samples
Marit Reigstad, Yasemin Bodur Chlorophyll a >10µm
fractionated algal pigments,
filtered through
Polycarbonate filters from
sediment trap samples
RF3
T3-1.1/T3-1.2/T31.3/T3.2.1/
onboard
2019-2020
RF3
T3-4.3
UiT
2019-2020
RF4
RF4 T4-4
2020-2023
RF3
T3-3.1
n/a
2021-2023
RF3
T3-3.4
2022-2023
Carbon and nitrogen stable isotope
composition after incubation
?
2021-2023
RF3
T3-3.4
2021-2023
2021-2023
possibly
Macronutrient concentrations in
bottom water before and after
incubation
APN
2019-2020
RF3
T3-3.4
2021-2023
2021-2023
no
Total mercury and methylmercury
transect profile
Mediterranean
Institute of
Oceanography
(MiO) in
Marseille,
France
2019
RF2
T2-2.2
2020-2021
Relative and absolute abundance of
marine calcifiers on the water
column and their contribution to
the carbonate pump
CAGE-UiT
(Tromsø), ICTAUAB
(Barcelona)
2020
RF2
T2-1.4
RF2
T2-1.1
T3 1.2
UiT Museum
UiO (Nansen
Carbon and nitrogen stable isotope Legacy
composition
agreement?)
Carbonate contribution (from
the abundances of marine
calcifiers)
mg CaCO3/m3, (% and #/m3)
Carbonate chemistry and
Water samples from the CTD chemical parameters
µg/L
2019-2020
Taxonomic voucher inventory of
Nansen Legacy fauna collected
THg, MeHg in pM
CN analyses
UiT
oxygen uptake
carbon content of benthic
invertebrates
Plankton sample
Oliver Müller, Lasse
Mørk Olsen
Yasemin Bodur,
Miriam Marquardt
oxygen uptake mmol / h
carbon content of benthic
invertebrates
Taxonomic voucher inventory
of Nansen Legacy fauna
collected
POC/PON
Nutrients from sea ice
cores/meltponds/under ice
water
Ice meiofauna
abundance/taxonomy
Bacterial activity
(Radioactively labelled
bacteria)
Miriam Marquardt, Rolf
Gradinger
Miriam Marquardt, Rolf
Gradinger, Bodil Bluhm
Protist DNA sequences,
phylogenetic positions and
corresponding abundances linked
to environmental conditions
Community composition, cell
abundances
DIC/Alkalinity, d18O and nutrients IMR and NPI
Version 4
Nansen
Legacy
Sampling
Protocol,
chapter 7.4 needs
updates!!! POC/PON
2020
2019-2020
2021 Yes
2020-2021
2020 2022?
UiT/UiB
2020-2023
RF3
2020-2023
Nutrients
Ice meiofauna
abundance/taxonomy
UiT
2020-2023
RF3
2020-2023
UiT
2020-2023
RF3
2020-2023
Bacterial production rate
UiB
2019-2020
RF3
UiB
2019-2020
RF3
UiB
2019-2020
RF3
T3-2.3/T3-3.1/
T3.1.1, T3.1.2,
T3.2.1
T3.1.1, T3.1.2,
T3.2.1
Concentration of total
particulate elements in μM
Abundance tables
Plankton diversity, dynamics and
distribution
Concentration of total particulate
O, P, Na, Mg, Si, S, Ca, Mn, Fe, Zn
(μM)
UiB
2019-2020
RF3
Virus diversity
Virus diversity across season based
on metabarcoding
2019-2020
Bacterial production, Flow
Cytometry, microbial
diversity, nutrient analysis,
microzooplankton diversity
Concentration of elements in
nM
Dynamics of lower trophic level
food web structure
UiB
Total and dissolved trace elements
transect profile
NTNU
Type and composition of
DOM, TOC
Nansen
Legacy v4
7.5 &7.6
Variation, composition, and
distribution of DOM and TOC, with
ancillary POC and DOC
measurements
Chl a total
NL v4
chapter 8
Chl a >10µm
NL v4
chapter 8
To be confirmed by
Torstein Pedersen
Museum archival
timeline tbd by new
collection employee
No
n/a
2021
PhD-project
no
No
2023 possibly
Post doc
project
PhD-project
2021 yes
Stephen Kohler PhD
PhD project project
2021 yes
PhD project
2021-23
yes
PhD-project
2020
2021 No
Confirm with the PI
2020
2021 No
Confirm with the PI
2020
2021 No
Confirm with the PI
T3.1.1, T3.1.2,
T3.2.1
2020
2021 No
Confirm with the PI
RF3
T3.1.1, T3.1.2,
T3.2.1
2020
2021 No
Confirm with the PI
2019-2020
RF3
T3-4.1
2020
2021 No
Confirm with the PI
2019-2020
RF2
T2-2.2
2020
2021 Need to ask PI
Confirm with the PI
NTNU (DOM
characterizatio
n) and UCSB
(TOC)
2019-2020
RF2
T2-2.2
2020
2021 yes
phd project
Chlorophyll a
Onboard KPH
During cruise
RF3
T3 4.4
2020
2021 yes
PhD-project
Chlorophyll a >10µm
Onboard KPH
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
UiB
Maria Digernes PhD
project
Yasemin Bodur,
Miriam Marquardt
Yasemin Bodur,
Miriam Marquardt
Yasemin Bodur,
Miriam Marquardt
Yasemin Bodur,
Miriam Marquardt
Yasemin Bodur,
Miriam Marquardt
Yasemin Bodur,
Miriam Marquardt
Yasemin Bodur,
Miriam Marquardt
Yasemin Bodur
Angela Stippkugel
Christine Gawinski
Marit Reigstad, Yasemin Bodur POC/PON
Julia Giebichenstein
Stephen Kohler,
Nicolas Sanchez
from sediment trap samples
HPLC from sediment trap
samples
IP25 from sediment trap and
boxcore samples
from sediment trap samples
mg pigment type / m2
community composition and
counts
Marit Reigstad, Yasemin Bodur fecal pellets
Marit Reigstad, Yasemin Bodur Metatranscriptomics
from sediment trap samples
DNA/RNA from sediment trap
samples
fecal pellet types and counts
biological diversity & activity
on particles
Paul Renaud, Yasemin Bodur
Nicole Aberle-Malzahn
indidivuals stored at -20C or in
formaldehyde from Campelen
trawl
Flow Cytometry, nutrient
whole animals for stable
isotopes, fatty acids extraction
and gut content analyses
Flow Cytometry, nutrient
egg production rate, weight
specific egg production rate
Camilla Svensen
Productivity of Oithona
frozen (-20C) whole and
dissected fishes: muscle,
otoliths, stomach
Egg hatching experiment
Meso- and
Macrozooplankton
Katrine Borgå
In-situ filtration pump
Katrine Borgå
PFAS water samples
PFAS analyses
Murat V. Ardelan
Christine Gawinski
Camilla Svensen
Camilla Svensen
Doreen Kohlbach
d13C; d14N
mg pigment type / m2
stable isotopes, mercury,
persistent organic pollutants,
emerging contaminants, fatty food web contaminant
acid analyses
biomagnification
Katrine Borgå
Camilla Svensen
Christine Gawinski
Pandalus borealis
Two point dilution
stable isotopes, mercury,
persistent organic pollutants
analyses, emerging
contaminants, fatty acid
analyses
persistent organic pollutant
analyses
Christine Gawinski,
Oliver Müller, Lasse
Mørk Olsen
Julia Giebichenstein,
Christine Gawinski
µg/L
Marit Reigstad, Yasemin Bodur stable isotopes
Marit Reigstad, Paul Renaud,
Yasemin Bodur
water column pigments
Marit Reigstad, Paul Renaud,
Yasemin Bodur
sea ice algae proxy
phytoplankton
Marit Reigstad, Yasemin Bodur communities
Håvard N. Liholt, Ane
Haarr, Julia
Giebichensten
Katrine Borgå
Julia Giebichenstein,
Rita Amundsen
Julia Giebichenstein,
Rita Amundsen
CN analyses from sediment
trap samples
food web contaminant
biomagnification
food web contaminant
biomagnification
food web contaminant
biomagnification
NL v4
chapter 8
NL v4
chapter 8
NL v4
chapter 8
NL v4
chapter 8
NL v4
chapter 8
NL v4
chapter 8
not
established
not
established
not
established
NL V4
NL V4
NL V4
POC/PON
UiT
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
stable isotopes
UiT?
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
HPLC
APN?
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
IP25
not clear
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
phytoplankton communities
UiT
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
fecal pellets
UiT
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
Metatranscriptomics
UiT?
2019-21
RF3
T3 4.4
2020
2021 yes
PhD-project
APN?
NTNU
2019-21
2018 - 2021
RF3
RF3
T3-3.1, T3-4.2
UiT
2019 - 2021
RF3
T3-2.2
fatty acids, stable isotoes, gut
content
Dynamics of lower trophic level
specific egg production rate as
estimate for copepod production
food web contaminant
biomagnification
food web contaminant
biomagnification
food web contaminant
biomagnification
food web contaminant
biomagnification
Sediment samples
NL V4
Nansen
Sequential extraction for trace
Legacy v4
elements
Trace element concentrations 10.4
Grazing experiment of
Oithona and Calanus
Carbon samples of Oithona
females and egg sacks
Bacterial production, Flow
Cytometry, microbial
diversity, microzooplankton
diversity
Determine weight specific egg
production rate
Bacterial production, Flow
Cytometry, microbial
diversity, microzooplankton
diversity
weight specific egg production
rate
from Oithona
samples will
be analysed
by Julia
Determine trophic position of
d13C; d14N (species specific?) Giebichstein Oithona
stable isotopes
fatty acids
Christine Gawinski,
Anna Vader, Bodil
Bluhm
Anna Vader
Jack Garnett
Jack Garnett
Experimental animals of
Oithona and calanus grazing
experiment
Sea ice
cores/meltponds/under ice
water
Jon Leithe
Marit Reigstad
Sea ice observations
from Oithona
metabarcoding of prey items
Analysis of PFAS (dissolved &
particulate, salinity, stable
isotopes
Relative amount of fatty acid
Distribution of trace elements in
sediments
Influence of Oithona and Calanus
on the microbial food web (top
Samples will down control?), comparison
be analyzed between the two different feeding
at UiB
strategies
not
Estimation of the copepod
established production during August 2019
UiO / NP / NILU
2019-2021
RF2
T2-2.1
2020
2021
2020
2021
2021 yes?
2021
Yes, possibly
PhD-project
PhD project PhD position was now
2021 yes
PhD project
2022 yes
Hg and SI analyses will
be done at UiO, fatty
acid analyses by postdoc at NP, if she needs
this data. Organic
pollutants will be
PhD project anbalysed at NILU
UiO /NILU/NP
2019-2021
RF2
T2-2.1
2021
2022 yes
Hg and SI analyses will
be done at UiO, fatty
acid analyses by postdoc at NP, if she needs
this data. Organic
pollutants will be
PhD project anbalysed at NILU
UiO/NILU
2019-2021
RF2
T2-2.1
2021
2022 yes
PhD project
UiO
2019-2022
RF2
T2-2.1
2022
2022 yes
PhD project
2019-2020
RF2
T2-2.2
2021
maybe, check
2021 with PI
UiB
2019-2020
RF3
T3-4.1
2020
2021 yes
PhD project
UiT
2019 - 2021
RF3
T3-2.2
2020
2021 yes
PhD project
NTNU
UiO
2019 - 2021
RF3
2020
2021 yes
PhD project
samples will
be analysed
by Doreen
determine the quality of food of
Kohlbach
Oithona in different seasons
NPI
2019 - 2021
RF3
2020
2021 yes
PhD project
Genetically
determine
prey of
Oithona and
Calanus
from feeding
experiment
and
compare to
flow
cytometry
results
Diet of Calanus and Oithona
UiT and UNIS
2020-2021
RF3
2020
2021 yes
Analyses to be done by
Snorre Flo as part of PhD
PhD project project
2019-20
RF2
2021
RF1
2019
PFAS in the sea ice ecosystem
Sea ice type, extension, etc
UK
Project outside Nansen
PhD project Legacy
Published at
icewatch.met.no
Gear ID with metadata
72
Gear Type
ID
Date
Event ID
ef09b3b3-b5ec-11e9-acd1-a0481c9e7d26
ef09b3b4-b5ec-11e9-acd1-a0481c9e7d26
ef09b3b5-b5ec-11e9-acd1-a0481c9e7d26
ef09b3b6-b5ec-11e9-acd1-a0481c9e7d26
ef09b3b7-b5ec-11e9-acd1-a0481c9e7d26
ef09b3b8-b5ec-11e9-acd1-a0481c9e7d26
157 8135fec6-b7fe-11e9-8f48-000c29fb4a96
158 2158eef8-b8f5-11e9-8f49-000c29fb4a96
Time
(UTC)
EK80
EM302
Weather station
Thermosalinograph
ADCP 150 kHz
pCO2 underway
CTD w/bottles
CTD w/bottles
Cruise
number
Station Name
Latitude
Longitude
Sample
Depth
(m)
Bottom
Local
Depth (m) Station ID
2019706
2019706
2019706
2019706
2019706
2019706
2019-08-05
16:13
2019706
IsA
78.2609
15.5353
86.5
145
2019-08-06
07:34
2019706
W of Sørkapp
76.4165
13.9047
1050.28
146
2019-08-06
09:53
2019706
W of Sørkapp
76.4165
76.0051
13.9046
31.0345
1050.28
327.52
42
160 23b9599c-b91f-11e9-8f49-000c29fb4a96
2019-08-07
13:40
2019706
P1 vicinity
162
163
164
165
166
167
ef09b276-b5ec-11e9-acd1-a0481c9e7d26
ef09b277-b5ec-11e9-acd1-a0481c9e7d26
ef09b278-b5ec-11e9-acd1-a0481c9e7d26
ef09b279-b5ec-11e9-acd1-a0481c9e7d26
ef09b27a-b5ec-11e9-acd1-a0481c9e7d26
ef09b27b-b5ec-11e9-acd1-a0481c9e7d26
2019-08-07
14:04
2019706
31.0313
147
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
Water for benthic
experiments
320
168 ef09b27c-b5ec-11e9-acd1-a0481c9e7d26
Bongonet 64 um
2019-08-07
20:31
2019706
P1
76.0000
31.2198
325.41
17
315
0
169 ef09b27d-b5ec-11e9-acd1-a0481c9e7d26
Bongonet 180 um
2019-08-07
21:06
2019706
P1
76.0000
31.2198
325.52
18
315
0
170 ef09b27e-b5ec-11e9-acd1-a0481c9e7d26
171 ef09b27f-b5ec-11e9-acd1-a0481c9e7d26
172 9acda646-b9dd-11e9-8f49-000c29fb4a96
Sediment trap (short term)
GO-FLO
CTD w/bottles
2019-08-07
2019-08-07
2019-08-08
22:19
23:20
00:46
2019706
2019706
2019706
P1
P1
P1
76.0000
76.0000
76.0000
31.2198
31.2194
31.2194
324.99
325.31
325.44
44
45
149
176 9acda648-b9dd-11e9-8f49-000c29fb4a96
177 b5c4ffa9-b9dd-11e9-8f49-000c29fb4a96
178 9acda649-b9dd-11e9-8f49-000c29fb4a96
179 a82ebb72-b9dd-11e9-8f49-000c29fb4a96
180
182
183
184
185
186
187
188
189
b5c4ffaa-b9dd-11e9-8f49-000c29fb4a96
b5c4ffab-b9dd-11e9-8f49-000c29fb4a96
a82ebb74-b9dd-11e9-8f49-000c29fb4a96
c82a2d3a-b9dd-11e9-8f49-000c29fb4a96
7063be80-ba42-11e9-8f49-000c29fb4a96
7d56ebe4-ba42-11e9-8f49-000c29fb4a96
7063be81-ba42-11e9-8f49-000c29fb4a96
7d56ebe6-ba42-11e9-8f49-000c29fb4a96
7063be82-ba42-11e9-8f49-000c29fb4a96
190 8d667d06-ba42-11e9-8f49-000c29fb4a96
MIK-net 1500 um
Campelen trawl
Phytoplankton net 10 um
Phytoplankton net 10 um
CTD w/bottles
Multinet 64 um
Multinet 64 um
Multinet 180 um
Bongonet 64 um
Bongonet 64 um
Bongonet 180 um
Macroplankton trawl
Harstad trawl
CTD w/bottles
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
2019-08-08
04:09
04:57
06:48
08:48
09:01
09:21
11:35
12:17
12:55
13:24
13:55
15:45
17:21
19:34
20:50
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
P1
P1
P1
P1
P1
P1
P1
P1
P1
P1
P1
P1
P1
P1
P1
76.0057
75.9915
76.0479
76.0033
76.0033
76.0031
76.0000
76.0000
76.0000
76.0000
76.0000
76.0000
76.0361
76.0355
75.9986
31.2396
31.1894
31.0987
31.2137
31.2137
31.2141
31.2201
31.2201
31.2200
31.2200
31.2200
31.2201
31.0716
31.0876
31.2265
325.41
323.19
333.37
326.21
326.14
325.86
325.53
322.75
325.37
321.15
324.16
322.25
332.48
337.22
325.61
21
22
320
320
320
Both 64 um and 180 um
mounted
Both 64 um and 180 um
mounted
Retrieved 23:48 (Cruise
2019-08-07 2019-08-08 logger)
With LADCP; Model
WHS300-I-UG502; SN
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0147
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0148
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
0
Nansen Legacy
Sampling protocols v4
July 12 2019, 9.3.5 MIK
V-haul; heaving speed acc net manual; heaving
to protocol found too fast, speed similar to
adjusted
deploying
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
0
Nansen Legacy
Sampling protocols v4
July 12 2019, 9.3.5 MIK
V-haul; heaving speed acc net manual; heaving
to protocol found too fast, speed similar to
adjusted
deploying
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
0
Nansen Legacy
Sampling protocols v4
July 12 2019, 9.3.5 MIK
V-haul; heaving speed acc net manual; heaving
to protocol found too fast, speed similar to
adjusted
deploying
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
1724 Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Nansen Legacy
Sampling Protocols v4
0
0
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 500m
151
290
290
290
300
300
300
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
23
150
25
26
27
28
29
30
102
103
University
University
University
University
University
University
marit.reigstad@uit.no UiT The Arctic University of Norway
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 500m
50
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
Tove M. Gabrielsen Marit Reigstad
101
50
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Nansen Legacy
Sampling protocols v4
July 12 2019, 10.2.3;
bottom time 45 min
24
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
0
0
0
0
0
MIK-net 1500 um
University
University
University
University
University
University
Tove M. Gabrielsen Marit Reigstad/Ilker Fer
70
315
315
70
315
175 b5c4ffa8-b9dd-11e9-8f49-000c29fb4a96
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
marit.reigstad@uit.no UiT The Arctic University of Norway
148
12
13
14
15
16
20
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
Tove M. Gabrielsen Marit Reigstad/Ilker Fer
325.59
325.62
325.69
325.73
325.58
325.73
330.8
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Water for preparation of
sediment traps
Glider 1, to be picked up
outside Isfjorden
Glider 2, picked up by KV
2019-08-07 2019-08-23 Andenæs
2019-08-06
31.2198
31.2199
31.2198
31.2198
31.2198
31.2198
31.2897
PI institution
500
76.0000
76.0000
76.0000
76.0000
76.0000
76.0000
76.0196
Tove M. Gabrielsen
105 Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
PI email
marit.reigstad@uit.no UiT The Arctic University of Norway
328.17
P1 vicinity
P1
AWS430__SMSAWS__Date.txt
Date-number-4m.cnv
KHDateFL_number_0000.*
pco2_data_ext_Date.*
Principal investigator (PI)
Tove M. Gabrielsen Marit Reigstad
P1
P1
P1
P1
P1
P1
2019706
KHFL2019706-D2019MMDD-THHMMSS.*; KHDK2018710-D2019MMDD-THHMMSS.*
Recorded By
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
2019706
2019706
2019706
2019706
2019706
2019706
03:24
KHFL2019706-D2019MMDD-THHMMSS.raw, 2019MMDDHHMMSS.idx
Serial Number
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0146
16:58
17:48
18:24
19:17
19:32
19:51
2019-08-08
Data filename
75
2019-08-07
2019-08-07
2019-08-07
2019-08-07
2019-08-07
2019-08-07
MIK-net 1500 um
Sampling protocol
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
CTD w/bottles
WP3 1000 um
WP3 1000 um
WP3 1000 um
WP2 90 um
WP2 90 um
174 9acda647-b9dd-11e9-8f49-000c29fb4a96
Event Remarks
Nansen Legacy
Sampling Protocols v4
Samples collected as part July 12 2019; 6.2 CTD;
of other projects, not AeN One salinity sample
Sta0145
43
76.0068
CTD w/bottles
End Date
2019-08-05 27/08/2019
2019-08-05
Multibeam mapping NW
2019-08-05
Vaisala AWS430. Data
2019-08-05 2019-08-14
2019-08-05
2019-08-05
159 2158eef9-b8f5-11e9-8f49-000c29fb4a96
161 23b9599d-b91f-11e9-8f49-000c29fb4a96
Maximum Minimum
Start Date
depth(m) depth (m)
Sta0149
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0150
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0151
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
0
0
0
0
0
0
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
1723 Tove M. Gabrielsen
1720 Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
191 7063be83-ba42-11e9-8f49-000c29fb4a96
GO-FLO
Box core
192 8ef92198-bbe9-11e9-8f49-000c29fb4a96
2019-08-08
2019-08-09
22:14
01:27
2019706
2019706
P1
P1
75.9986
75.9997
31.2265
31.2153
325.11
326.11
47
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
9
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
10
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
1720 Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Box core
193 8ef92199-bbe9-11e9-8f49-000c29fb4a96
2019-08-09
03:46
2019706
P1
75.9998
31.2154
325.9
Box core
194 8ef9219a-bbe9-11e9-8f49-000c29fb4a96
195 8ef9219b-bbe9-11e9-8f49-000c29fb4a96
Harstad trawl
2019-08-09
2019-08-09
06:00
09:46
199 caf30396-bc46-11e9-8f49-000c29fb4a96
Mooring
2019-08-11
05:38
200 caf30397-bc46-11e9-8f49-000c29fb4a96
Mooring
2019-08-11
05:46
201 caf30398-bc46-11e9-8f49-000c29fb4a96
202 caf30399-bc46-11e9-8f49-000c29fb4a96
203 dd2da098-bc46-11e9-8f49-000c29fb4a96
204 dd2da099-bc46-11e9-8f49-000c29fb4a96
205 dd2da09a-bc46-11e9-8f49-000c29fb4a96
207 dd2da09b-bc46-11e9-8f49-000c29fb4a96
208 2f3eab06-bcbb-11e9-8f49-000c29fb4a96
2f3eab07-bcbb-11e9-8f49-000c29fb4a96
209 2f3eab08-bcbb-11e9-8f49-000c29fb4a96
210 2f3eab09-bcbb-11e9-8f49-000c29fb4a96
211
212
213
214
215
216
217
218
219
221
4449d11a-bcbb-11e9-8f49-000c29fb4a96
4449d11b-bcbb-11e9-8f49-000c29fb4a96
4449d11c-bcbb-11e9-8f49-000c29fb4a96
4449d11d-bcbb-11e9-8f49-000c29fb4a96
5ec60626-bcbb-11e9-8f49-000c29fb4a96
5ec60629-bcbb-11e9-8f49-000c29fb4a96
5ec60627-bcbb-11e9-8f49-000c29fb4a96
5ec60628-bcbb-11e9-8f49-000c29fb4a96
00fe1b14-bd6a-11e9-8f49-000c29fb4a96
0c747bdf-bd6a-11e9-8f49-000c29fb4a96
224 00fe1b15-bd6a-11e9-8f49-000c29fb4a96
225 0c747bde-bd6a-11e9-8f49-000c29fb4a96
226
227
228
229
00fe1b16-bd6a-11e9-8f49-000c29fb4a96
20db6caf-bd6a-11e9-8f49-000c29fb4a96
00fe1b17-bd6a-11e9-8f49-000c29fb4a96
0c747bdc-bd6a-11e9-8f49-000c29fb4a96
230 20db6cae-bd6a-11e9-8f49-000c29fb4a96
CTD
CTD w/bottles
CTD w/bottles
Phytoplankton net 10 um
2019-08-11
2019-08-11
2019-08-11
2019-08-11
Phytoplankton net 10 um
WP3 1000 um
WP3 1000 um
2019-08-11
2019-08-11
2019-08-11
WP3 1000 um
2019-08-11
Campelen trawl
MIK-net 1500 um
MIK-net 1500 um
MIK-net 1500 um
GO-FLO
Active water sampler
TS probe
CTD w/bottles
Multinet 180 um
Multinet 64 um
Multinet 64 um
Macroplankton trawl
Box core
Box core
Box core
Bongonet 180 um
Bongonet 64 um
Bongonet 64 um
CTD w/bottles
2019-08-11
2019-08-11
2019-08-11
2019-08-11
2019-08-11
2019-08-11
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
2019-08-12
08:21
10:56
11:59
12:43
13:02
14:09
14:42:00
15:18:00
16:42:00
17:30:00
18:03:00
19:10:00
20:47:00
01:14:00
02:11:00
03:19:00
03:53:00
04:43:00
06:56:00
08:38:00
11:01:00
12:57:00
13:28:00
13:56:00
14:19:00
18:11:00
2019706
P1
75.9997
2019706 Betw P1 and NLEG2 76.2095
77.0803
2019706
M5
77.0825
2019706
M5 bioac
2019706
2019706
2019706
2019706
Betw M5 and P2
P2
P2
P2
77.3252
77.4986
77.4987
77.4986
31.2154
31.2316
35.0381
324.81
315.83
145.56
11
104
48
35.0578
147.18
49
34.4502
34.0011
34.0012
34.0012
158.54
188.66
188.87
188.84
2019706
2019706
2019706
P2
P2
P2
77.4985
77.4986
77.4986
34.0005
34.0008
34.0007
187.97
188.57
188.34
2019706
P2
77.4986
34.0007
188.34
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
P2
P2
P2
P2
P2
P2
P2
P2
P2
P2
P2
P2
77.5156
77.5010
77.4990
77.5085
77.5006
77.5006
77.5006
77.5006
77.5006
77.5006
77.5006
77.5163
77.4994
33.9343
33.9502
33.9955
33.9661
33.9865
33.9864
33.9864
33.9865
33.9865
33.9864
33.9865
34.0057
34.0008
186.95
186.73
188.18
190.79
186.15
186.08
186.33
186.3
186.36
186.38
186.47
193.53
188.46
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
154
Mooring M5 N 77 04,516 E
35 02,168
Mooring M5 bioac 77
04.947n 035 03.487e
Test MoonPool betw M5 &
P2
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0154
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
155
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0155
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
156
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0156
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
1724 Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
1723 Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
178
31
100
32
34
35
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 1000m
0
100
150
150
0
0
0
150
0
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 1000m
Missing from cruise
logger; Position and depth
taken from ID208
Nansen Legacy
Sampling protocols v4
July 12 2019, 10.2.3;
bottom time 30 min
105
36
160
37
38
50
51
1
157
39
40
41
106
12
160
170
0
Nansen Legacy
Sampling protocols v4
July 12 2019, 9.3.5 MIK
V-haul; heaving speed acc net manual; heaving
to protocol found too fast, speed similar to
adjusted
deploying
0
0
Nansen Legacy
Sampling protocols v4
July 12 2019, 9.3.5 MIK
V-haul; heaving speed acc net manual; heaving
to protocol found too fast, speed similar to
adjusted
deploying
Vertical haul
Filtration pump
TS probe
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
175
170
170
150
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0157
0
0
0
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
P2
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
P2
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
P2
P2
P2
P2
NLEG5
77.4994
77.4995
77.4995
77.4995
77.4995
77.9989
34.0008
34.0007
34.0007
34.0007
34.0007
33.9998
188.6
188.78
188.87
188.95
188.88
196.18
13
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
14
45
46
47
158
170
170
181
0
0
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0158
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
231 0c747bdd-bd6a-11e9-8f49-000c29fb4a96
232 20db6cac-bd6a-11e9-8f49-000c29fb4a96
233 20db6cad-bd6a-11e9-8f49-000c29fb4a96
234 ef09b280-b5ec-11e9-acd1-a0481c9e7d26
235 ef09b281-b5ec-11e9-acd1-a0481c9e7d26
236 ef09b282-b5ec-11e9-acd1-a0481c9e7d26
237 ef09b283-b5ec-11e9-acd1-a0481c9e7d26
239 ef09b284-b5ec-11e9-acd1-a0481c9e7d26
240 ef09b285-b5ec-11e9-acd1-a0481c9e7d26
241 ef09b286-b5ec-11e9-acd1-a0481c9e7d26
242 ef09b287-b5ec-11e9-acd1-a0481c9e7d26
243 ef09b288-b5ec-11e9-acd1-a0481c9e7d26
244 ef09b289-b5ec-11e9-acd1-a0481c9e7d26
245
246
247
248
249
250
251
252
ef09b28a-b5ec-11e9-acd1-a0481c9e7d26
ef09b28b-b5ec-11e9-acd1-a0481c9e7d26
ef09b28c-b5ec-11e9-acd1-a0481c9e7d26
ef09b28d-b5ec-11e9-acd1-a0481c9e7d26
ef09b28e-b5ec-11e9-acd1-a0481c9e7d26
ef09b28f-b5ec-11e9-acd1-a0481c9e7d26
ef09b290-b5ec-11e9-acd1-a0481c9e7d26
ef09b291-b5ec-11e9-acd1-a0481c9e7d26
Mooring
CTD
CTD w/bottles
Campelen trawl
CTD w/bottles
GO-FLO
MIK-net 1500 um
Multinet 180 um
Multinet 64 um
Phytoplankton net 10 um
CTD w/bottles
CTD w/bottles
CTD w/bottles
CTD w/bottles
Bongonet 180 um
WP2 90 um
WP2 90 um
Bongonet 180 um
Bongonet 180 um
WP3 1000 um
Sediment trap (short term)
2019-08-12
2019-08-12
2019-08-12
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
2019-08-13
21:22:00
21:30:00
23:41:00
02:11
03:27
04:12
05:10
06:20
06:58
07:29
09:40
12:12
14:26
17:46
18:31
18:49
19:01
19:12
19:33
20:14
21:40
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
M5
M5
NLEG6
P3
P3
P3
P3
P3
P3
P3
NLEG08
NLEG09
NLEG10
P4
P4
P4
P4
P4
P4
P4
P4
253 ef09b292-b5ec-11e9-acd1-a0481c9e7d26
254 ef09b293-b5ec-11e9-acd1-a0481c9e7d26
255 ef09b294-b5ec-11e9-acd1-a0481c9e7d26
Phytoplankton net 10 um
Active water sampler
GO-FLO
2019-08-13
2019-08-13
2019-08-14
21:51
23:35
02:19
2019706
2019706
2019706
P4
P4
P4
257 ef09b295-b5ec-11e9-acd1-a0481c9e7d26
MIK-net 1500 um
2019-08-14
04:26
2019706
P4
258 ef09b296-b5ec-11e9-acd1-a0481c9e7d26
259 ef09b297-b5ec-11e9-acd1-a0481c9e7d26
260 ef09b298-b5ec-11e9-acd1-a0481c9e7d26
261 ef09b299-b5ec-11e9-acd1-a0481c9e7d26
262 ef09b29a-b5ec-11e9-acd1-a0481c9e7d26
MIK-net 1500 um
MIK-net 1500 um
MIK-net 1500 um
CTD w/bottles
Multinet 180 um
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
05:03
05:51
06:43
07:24
08:33
2019706
2019706
2019706
2019706
2019706
P4
P4
P4
P4
P4
78.3478
78.3498
78.5000
78.7318
78.7498
78.7498
78.7502
78.7500
78.7500
78.7500
79.0003
79.2492
79.5002
79.7494
79.7475
79.7476
79.7477
79.7478
79.7485
79.7517
79.7578
79.7584
79.7584
79.7343
79.7077
79.7026
79.6941
79.6931
79.6932
79.6964
34.7624
34.7751
34.0004
34.0098
34.0008
34.0006
34.0004
34.0000
34.0000
34.0000
33.9997
34.0018
33.9966
33.9971
33.9880
33.9853
33.9827
33.9801
33.9737
33.9588
33.9657
33.9733
34.0766
34.2372
34.2833
34.2815
34.2683
34.2520
34.2300
34.2245
241.23
246.96
179.89
307.25
306.99
306.98
307.11
306.8
306.77
306.71
269.57
215.73
300.18
338.39
338.83
338.43
338.11
337.72
337.7
336.24
329.89
330.05
326.97
344.53
351.99
354.2
356.7
355.31
352.99
345.53
52
Rigg M6 - N 78 20 869 E
At mooring site; With
LADCP; Model WHS300-IUG502; SN 24474 & SN
24472
159
160
170
V-haul
280
280
52
163
164
165
53
54
55
56
57
58
54
100
marit.reigstad@uit.no UiT The Arctic University of Norway
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
1723 Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Sta0161
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Nansen Legacy
Sampling protocols v4
July 12 2019, 9.3.5 MIK
net manual; heaving
speed similar to
deploying
0
0
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 1000m
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
260
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
205
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0163
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
290
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0164
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
325
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0165
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
100
70
70
300
300
300
0
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0162
0
0
0
0
0
0
2019-08-13 2019-08-14
59
55
56
60
100
61
320
62
320
63
166
64
Tove M. Gabrielsen Marit Reigstad
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0160
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
300
48
50
51
162
marit.reigstad@uit.no UiT The Arctic University of Norway
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Nansen Legacy
Sampling protocols v4
July 12 2019, 10.2.3;
bottom time 15 min, with
fish lift
107
161
53
Tove M. Gabrielsen Marit Reigstad
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0159
320
In situ filtration pump
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 1000m
To be included in v5
Vertical haul
0
0
0
0
325
0
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Nansen Legacu
Sampling Protocols v4
July 12 2019 9.3.5. Mik
net manual;
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Vertical haul
Nansen Legacu
Sampling Protocols v4
July 12 2019 9.3.5. Mik
net manual; adjusted
haul speed to ca 0.25
m/s because no weight
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Vertical haul
Nansen Legacu
Sampling Protocols v4
July 12 2019 9.3.5. Mik
net manual; adjusted
haul speed to ca 0.25
m/s because no weight
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Vertical haul
Nansen Legacu
Sampling Protocols v4
July 12 2019 9.3.5. Mik
net manual; adjusted
haul speed to ca 0.25
m/s because no weight
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
340
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Sta0166
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
263 ef09b29b-b5ec-11e9-acd1-a0481c9e7d26
264 ef09b29c-b5ec-11e9-acd1-a0481c9e7d26
266
267
268
269
270
271
272
273
ef09b29e-b5ec-11e9-acd1-a0481c9e7d26
ef09b29f-b5ec-11e9-acd1-a0481c9e7d26
ef09b2a0-b5ec-11e9-acd1-a0481c9e7d26
ef09b2a1-b5ec-11e9-acd1-a0481c9e7d26
ef09b2a2-b5ec-11e9-acd1-a0481c9e7d26
ef09b2a3-b5ec-11e9-acd1-a0481c9e7d26
ef09b2a4-b5ec-11e9-acd1-a0481c9e7d26
ef09b2a5-b5ec-11e9-acd1-a0481c9e7d26
274 ef09b2a6-b5ec-11e9-acd1-a0481c9e7d26
275 ef09b2a7-b5ec-11e9-acd1-a0481c9e7d26
276 ef09b2a8-b5ec-11e9-acd1-a0481c9e7d26
277 ef09b2a9-b5ec-11e9-acd1-a0481c9e7d26
278 ef09b2ce-b5ec-11e9-acd1-a0481c9e7d26
279 ef09b2cf-b5ec-11e9-acd1-a0481c9e7d26
280
281
282
283
ef09b2d0-b5ec-11e9-acd1-a0481c9e7d26
ef09b2d1-b5ec-11e9-acd1-a0481c9e7d26
ef09b2d2-b5ec-11e9-acd1-a0481c9e7d26
ef09b2d3-b5ec-11e9-acd1-a0481c9e7d26
284 ef09b2d4-b5ec-11e9-acd1-a0481c9e7d26
285
286
287
288
289
290
ef09b2d5-b5ec-11e9-acd1-a0481c9e7d26
ef09b2d6-b5ec-11e9-acd1-a0481c9e7d26
ef09b2d7-b5ec-11e9-acd1-a0481c9e7d26
ef09b2d8-b5ec-11e9-acd1-a0481c9e7d26
ef09b2d9-b5ec-11e9-acd1-a0481c9e7d26
ef09b2da-b5ec-11e9-acd1-a0481c9e7d26
291 ef09b2db-b5ec-11e9-acd1-a0481c9e7d26
292 ef09b2dc-b5ec-11e9-acd1-a0481c9e7d26
293
294
295
296
297
298
ef09b2dd-b5ec-11e9-acd1-a0481c9e7d26
ef09b2de-b5ec-11e9-acd1-a0481c9e7d26
ef09b2df-b5ec-11e9-acd1-a0481c9e7d26
ef09b2e0-b5ec-11e9-acd1-a0481c9e7d26
ef09b2e1-b5ec-11e9-acd1-a0481c9e7d26
ef09b2e2-b5ec-11e9-acd1-a0481c9e7d26
299 ef09b2e3-b5ec-11e9-acd1-a0481c9e7d26
Multinet 64 um
Multinet 64 um
CTD w/bottles
Bongonet 180 um
Bongonet 64 um
Bongonet 64 um
CTD w/bottles
CTD
GO-FLO
TS probe
Campelen trawl
Macroplankton trawl
Box core
Box core
Box core
CTD w/bottles
CTD w/bottles
CTD
Bongonet 180 um
Bongonet 180 um
Phytoplankton net 10 um
Phytoplankton net 10 um
Sediment trap (short term)
MIK-net 1500 um
MIK-net 1500 um
MIK-net 1500 um
GO-FLO
CTD w/bottles
TS probe
Multinet 180 um
Multinet 64 um
Multinet 64 um
Bongonet 180 um
Bongonet 64 um
Bongonet 64 um
CTD w/bottles
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-14
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-15
2019-08-16
2019-08-16
2019-08-16
2019-08-16
2019-08-16
2019-08-16
2019-08-16
2019-08-16
2019-08-16
09:13
10:10
11:06
11:43
12:12
12:41
13:15
13:52
14:11
16:13
19:50
20:56
01:37
03:10
04:51
08:22
17:03
17:44
17:55
18:16
18:31
18:47
20:32
21:05
21:16
21:35
22:41
00:23
00:55
04:12
04:49
06:16
06:39
07:09
07:30
09:03
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
P4
NLEG12
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
P5
79.7002
79.7073
79.7140
79.7179
79.7203
79.7211
79.7226
79.7233
79.7230
79.7111
79.5518
79.4983
79.7457
79.7434
79.7518
79.9982
80.4966
80.4951
80.4949
80.4951
80.4954
80.4957
80.5006
80.5092
80.5117
80.5163
80.5245
80.5289
80.5273
80.4952
80.4884
80.4771
80.4749
80.4737
80.4736
80.4772
34.2237
34.2281
34.2664
34.2909
34.3065
34.3182
34.3311
34.3442
34.3530
34.3772
34.5686
34.6344
34.0169
33.9961
34.0282
33.9961
33.9898
33.9678
33.9620
33.9502
33.9424
33.9353
33.8810
33.8602
33.8545
33.8551
33.8928
33.9602
33.9844
34.0860
34.0835
34.0669
34.0641
34.0620
34.0579
34.0514
341.7
342.63
341.28
343.08
343.78
341.63
338.9
337.3
336.49
338.16
328.4
304.77
333.83
332.7
331.05
211.8
162.71
159.36
159.3
154.82
159.12
160.85
157.14
162.19
168.54
169.2
171.81
169.77
174.35
162.0
159.99
157.25
155.24
154.77
152.96
154.64
300 ef09b2e4-b5ec-11e9-acd1-a0481c9e7d26
2019-08-16
10:08
2019706
P5
80.4843
34.0677
159.33
b2d90c55-c02b-11e9-8f49-000c29fb4a96
2019-08-16
10:15
2019706
P5
80.4846
34.0575
162.0
2019-08-16
2019-08-16
10:30
11:57
2019706
2019706
P5
P5
80.4846
80.5021
34.0575
34.0173
162.0
160.68
b2d90c54-c02b-11e9-8f49-000c29fb4a96
303 ef09b2e6-b5ec-11e9-acd1-a0481c9e7d26
306 ef09b2e7-b5ec-11e9-acd1-a0481c9e7d26
CTD
Box core
CTD w/bottles
2019-08-16
23:06
2019706
NLEG14
81.0018
33.9996
219.56
65
66
167
67
68
69
168
169
58
3
280
325
0
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0167
330
330
330
330
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen
612 Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
0
0
0
329
50
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
0
SAIV CTD
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0168
Sta0169
Nansen Legacy
Sampling protocols v4
July 12 2019, 10.2.3;
bottom time 15 min, with
fish lift
108
109
1724 Tove M. Gabrielsen Marit Reigstad
1723 Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
15
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
16
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
17
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
170
171
172
70
71
204
150
140
140
72
140
73
59
74
75
76
60
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0170
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
SAIV CTD
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0171
Sta0172
0
0
0
0
140
140
140
0
0
0
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 1000m
2019-08-15 2019-08-16
Vertical haul
Vertical haul
Vertical haul
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0173
173
4
77
78
79
80
81
82
174
140
140
150
0
0
0
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Scanmar did not work,
bottom depth ca 162m
1
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
152
61
20
0
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0174
Event 300 i toktlogger
dekker Li-Cor og CTD i
registreringen under
Li-Cor (UNIS) lysmålinger
(Miriam, Jon)
SAIV UNIS 612 fra småbåt
(Miriam, Jon)
19
175
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen
612 Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 1000m
0
100
100
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
219
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0175
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
612 Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
307 ef09b2e8-b5ec-11e9-acd1-a0481c9e7d26
308 ef09b2e9-b5ec-11e9-acd1-a0481c9e7d26
309 ef09b2ea-b5ec-11e9-acd1-a0481c9e7d26
310 ef09b2eb-b5ec-11e9-acd1-a0481c9e7d26
311 ef09b2ec-b5ec-11e9-acd1-a0481c9e7d26
313 ef09b2ee-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f0-b5ec-11e9-acd1-a0481c9e7d26
314 ef09b2ef-b5ec-11e9-acd1-a0481c9e7d26
315 ef09b2ed-b5ec-11e9-acd1-a0481c9e7d26
316
317
318
319
320
321
322
ef09b2c6-b5ec-11e9-acd1-a0481c9e7d26
ef09b2c7-b5ec-11e9-acd1-a0481c9e7d26
ef09b2c8-b5ec-11e9-acd1-a0481c9e7d26
ef09b2c9-b5ec-11e9-acd1-a0481c9e7d26
ef09b2ca-b5ec-11e9-acd1-a0481c9e7d26
ef09b2cb-b5ec-11e9-acd1-a0481c9e7d26
ef09b2cc-b5ec-11e9-acd1-a0481c9e7d26
323 ef09b2cd-b5ec-11e9-acd1-a0481c9e7d26
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
ef09b2f1-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f2-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f3-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f4-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f5-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f6-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f7-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f8-b5ec-11e9-acd1-a0481c9e7d26
ef09b2f9-b5ec-11e9-acd1-a0481c9e7d26
ef09b2fa-b5ec-11e9-acd1-a0481c9e7d26
ef09b2fb-b5ec-11e9-acd1-a0481c9e7d26
ef09b2fd-b5ec-11e9-acd1-a0481c9e7d26
ef09b2fe-b5ec-11e9-acd1-a0481c9e7d26
ef09b2ff-b5ec-11e9-acd1-a0481c9e7d26
ef09b300-b5ec-11e9-acd1-a0481c9e7d26
339 ef09b301-b5ec-11e9-acd1-a0481c9e7d26
341 ef09b303-b5ec-11e9-acd1-a0481c9e7d26
342 ef09b304-b5ec-11e9-acd1-a0481c9e7d26
343 ef09b305-b5ec-11e9-acd1-a0481c9e7d26
344 ef09b306-b5ec-11e9-acd1-a0481c9e7d26
345 ef09b307-b5ec-11e9-acd1-a0481c9e7d26
346 ef09b308-b5ec-11e9-acd1-a0481c9e7d26
347 ef09b309-b5ec-11e9-acd1-a0481c9e7d26
CTD w/bottles
CTD
CTD
CTD
CTD w/bottles
CTD
Active water sampler
TS probe
2019-08-17
2019-08-17
2019-08-17
2019-08-17
2019-08-17
2019-08-17
2019-08-17
2019-08-17
2019-08-17
05:56
07:29
08:15
09:13
10:04
11:52
16:30
18:17
23:02
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
NLEG15
NLEG16
NLEG17
NLEG18
NLEG19
NLEG20
P6_Ice
P6
P6
CTD w/bottles
MIK-net 1500 um
MIK-net 1500 um
MIK-net 1500 um
MIK-net 1500 um
MIK-net 1500 um
Multinet 180 um
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
06:33
07:52
08:07
08:20
08:34
08:48
09:04
2019706
2019706
2019706
2019706
2019706
2019706
2019706
P6
P6
P6
P6
P6
P6
P6
Sediment trap (short term)
2019-08-18
11:30
2019706
P6
CTD w/bottles
GO-FLO
Phytoplankton net 10 um
MIK-net 1500 um
MIK-net 1500 um
Multinet 180 um
Multinet 64 um
Multinet 64 um
Bongonet 180 um
Bongonet 64 um
Bongonet 64 um
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-18
2019-08-19
11:49
12:30
13:53
14:47
17:47
18:33
19:32
20:26
21:48
22:51
00:08
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
P6
P6
P6
P6
P6
P6
P6
P6
P6
P6
P6
81.3118
81.3822
81.4110
81.4310
81.4593
81.5025
81.5327
81.5297
81.5498
81.5495
81.5514
81.5521
81.5528
81.5537
81.5548
81.5562
81.5705
81.5720
81.5748
81.5762
81.5765
81.5638
81.5612
81.5595
81.5604
81.5665
81.5733
81.5808
31.3503
31.2898
31.2455
31.1448
31.0778
30.9588
30.9684
30.9555
30.9588
31.1605
31.1684
31.1700
31.1709
31.1716
31.1714
31.1697
31.2185
31.2128
31.2451
31.3259
31.3874
31.5185
31.5260
31.5188
31.4993
31.4724
31.4686
31.4872
188.46
186.42
205.56
256.17
496.41
693.98
797.07
789.23
865.44
834.68
839.88
841.87
844.43
848.7
853.44
860.71
860.71
1155.75
1224.91
1026.46
1036.91
856.29
843.73
841.06
848.67
894.92
989.02
1111.65
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0176
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
177
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0177
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
178
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0178
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
179
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0179
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
180
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0180
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0181
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
176
175
500
181
P6_Ice station, Ice work
In situ filtration pump
64
5
182
83
84
85
86
87
88
65
183
66
89
90
91
92
93
94
95
96
97
831
50
50
50
50
50
600
0
0
0
0
0
0
To be included in v5
Sta0182
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0183
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0184
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
Vertical haul
Vertical haul
Vertical haul
Vertical haul
Vertical haul
Used bottom depth from
2019-08-18 2019-08-19 ID322
200
1000
400
750
300
750
750
750
650
Vertical haul
Vertical haul
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
University
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
CTD w/bottles
Bongonet 180 um
Bongonet 180 um
TS probe
2019-08-19
2019-08-19
2019-08-19
2019-08-19
01:07
02:27
02:47
03:56
2019706
2019706
2019706
2019706
P6
P6
P6
P6
81.5850
81.5865
81.5862
81.5842
31.5195
31.5707
31.5827
31.6212
1099.78
1099.2
1089.07
979.27
184
98
99
6
Box core
2019-08-19
09:01
2019706
P6
81.5452
30.8475
856.66
22
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
23
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
24
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
25
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Box core
Box core
Box core
CTD w/bottles
CTD w/bottles
CTD w/bottles
Bongonet 180 um
2019-08-19
2019-08-19
2019-08-19
2019-08-19
2019-08-19
2019-08-19
2019-08-20
11:22
13:01
15:02
16:53
18:57
22:24
08:03
2019706
2019706
2019706
2019706
2019706
2019706
2019706
P6
P6
P6
NLEG22
NLEG23
NLEG24
P7
81.5632
81.5400
81.5346
81.5905
81.6165
81.6830
81.9848
30.8870
30.8759
30.9570
30.7409
30.6529
30.5225
29.9870
1036.76
829.08
806.3
1545.57
1950.0
2812.6
3272.97
200
0
0
0
0
0
0
0
0
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
185
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0185
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
186
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0186
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0187
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
187
100
1950
348 ef09b30a-b5ec-11e9-acd1-a0481c9e7d26
349 ef09b30b-b5ec-11e9-acd1-a0481c9e7d26
ef09b30c-b5ec-11e9-acd1-a0481c9e7d26
351 ef09b30d-b5ec-11e9-acd1-a0481c9e7d26
Bongonet 180 um
Active water sampler
352 ef09b30e-b5ec-11e9-acd1-a0481c9e7d26
353
354
355
356
357
359
360
ef09b30f-b5ec-11e9-acd1-a0481c9e7d26
ef09b310-b5ec-11e9-acd1-a0481c9e7d26
ef09b311-b5ec-11e9-acd1-a0481c9e7d26
ef09b312-b5ec-11e9-acd1-a0481c9e7d26
ef09b313-b5ec-11e9-acd1-a0481c9e7d26
ef09b314-b5ec-11e9-acd1-a0481c9e7d26
ef09b315-b5ec-11e9-acd1-a0481c9e7d26
361 ef09b316-b5ec-11e9-acd1-a0481c9e7d26
362
363
364
365
366
368
369
370
371
ef09b317-b5ec-11e9-acd1-a0481c9e7d26
ef09b318-b5ec-11e9-acd1-a0481c9e7d26
ef09b319-b5ec-11e9-acd1-a0481c9e7d26
ef09b31a-b5ec-11e9-acd1-a0481c9e7d26
ef09b31b-b5ec-11e9-acd1-a0481c9e7d26
ef09b31d-b5ec-11e9-acd1-a0481c9e7d26
ef09b31e-b5ec-11e9-acd1-a0481c9e7d26
ef09b31f-b5ec-11e9-acd1-a0481c9e7d26
ef09b320-b5ec-11e9-acd1-a0481c9e7d26
08:41
09:25
07:30
12:54
2019706
2019706
2019706
2019706
P7
P7
P7_Ice
P7
81.9836
81.9827
81.9861
81.9819
29.9695
29.9437
29.9975
29.7942
3269.47
3274.07
3272.82
3290.87
101
68
MIK-net 1500 um
2019-08-20
2019-08-20
2019-08-20
2019-08-20
102
1250
0
MIK-net 1500 um
2019-08-20
14:58
2019706
P7
81.9811
29.7287
3290.87
103
2000
0
CTD w/bottles
WP2 90 um
WP2 90 um
Bongonet 180 um
MIK-net 1500 um
Sediment trap (short term)
MIK-net 1500 um
CTD w/bottles
Phytoplankton net 10 um
Multinet 180 um
Multinet 180 um
Multinet 64 um
Multinet 64 um
CTD w/bottles
Bongonet 180 um
Bongonet 64 um
Bongonet 64 um
2019-08-20
2019-08-20
2019-08-20
2019-08-20
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
2019-08-21
18:08
23:16
23:39
23:54
00:15
03:03
03:30
03:43
04:28
04:56
06:34
07:49
09:52
11:11
11:51
13:06
14:40
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
2019706
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
P7
81.9693
81.9509
81.9500
81.9494
81.9483
81.9322
81.9283
81.9262
81.9184
81.9133
81.8948
81.8826
81.8654
81.8576
81.8542
81.8462
81.8291
29.6217
29.3074
29.2858
29.2729
29.2548
29.1573
29.1460
29.1396
29.1151
29.0975
29.0291
28.9682
28.8577
28.8065
28.7927
28.7856
28.8017
3293.25
3306.9
3313.34
3315.21
3317.39
3312.04
3301.77
3299.7
3289.48
3288.53
3254.08
3233.46
3136.7
3120.7
3116.7
3068.87
2993.82
372 ef09b321-b5ec-11e9-acd1-a0481c9e7d26
373 ef09b322-b5ec-11e9-acd1-a0481c9e7d26
374 ef09b323-b5ec-11e9-acd1-a0481c9e7d26
CTD w/bottles
TS probe
GO-FLO
2019-08-21
2019-08-21
2019-08-22
17:33
19:55
00:48
2019706
2019706
2019706
P7
P7
P7
81.7882
81.7591
81.7371
28.7840
28.7037
28.6367
2897.95
2767.68
2725.78
375 ef09b324-b5ec-11e9-acd1-a0481c9e7d26
Box core
2019-08-22
02:12
2019706
P7
81.7276
28.6712
2648.91
376 ef09b325-b5ec-11e9-acd1-a0481c9e7d26
378 ef09b327-b5ec-11e9-acd1-a0481c9e7d26
379 ef09b328-b5ec-11e9-acd1-a0481c9e7d26
Box core
Box core
TS probe
380 ef09b329-b5ec-11e9-acd1-a0481c9e7d26
381 ef09b32a-b5ec-11e9-acd1-a0481c9e7d26
384 ef09b32d-b5ec-11e9-acd1-a0481c9e7d26
385 ef09b331-b5ec-11e9-acd1-a0481c9e7d26
386 ef09b332-b5ec-11e9-acd1-a0481c9e7d26
Box core
Box core
Box core
CTD w/bottles
387 ef09b350-b5ec-11e9-acd1-a0481c9e7d26
388 ef09b351-b5ec-11e9-acd1-a0481c9e7d26
389 ef09b352-b5ec-11e9-acd1-a0481c9e7d26
CTD w/bottles
2019-08-22
08:34
2019706
P7
81.6707
28.7890
12:49
01:07
2019706
2019706
P7
SICE4
81.6683
81.9809
28.8118
24.2938
2329.02
3603.33
2019-08-23
08:10
2019706
SICE4
81.9784
24.4732
3599.76
2019-08-23
2019-08-23
10:18
16:55
20:12
2019706
2019706
2019706
SICE4
SICE4
81.9851
24.5301
189
110
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
3280
70
70
100
100
0
0
0
0
100
0
03:02
2019706
2019-08-25
11:30
2019706 NW of Spitsbergen
13:52
2019706 NW of Spitsbergen
2019-08-25
14:45
2019706 NW of Spitsbergen
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0189
See data file for
instrument serial
numbers. Note issues
with one of the Temp
sensors.
Vertical haul
3300
Nansen Legacy
Sampling protocols v4
July 12 2019 9.1
Phytoplankton net-haul
sampling; adjusted
sampling depth to 1000m
111
112
113
114
190
1000
1000
1000
300
3120
0
0
0
0
With LADCP; Model
WHS300-I-UG502; SN
24474 & SN 24472
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0190
See data file for
instrument serial
numbers. Note issues
with one of the Temp
sensors.
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0191
See data file for
instrument serial
numbers. Note issues
with one of the Temp
sensors.
115
116
117
191
2830
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
University
of Norway
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Marit Reigstad
Marit Reigstad
Marit Reigstad
Marit Reigstad
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
marit.reigstad@uit.no
UiT The Arctic
UiT The Arctic
UiT The Arctic
UiT The Arctic
University
University
University
University
of Norway
of Norway
of Norway
of Norway
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
27
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
28
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
7
72
26
8
74
Ice work (coring, underice sampling etc)
29
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
31
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
Tove M. Gabrielsen Marit Reigstad
marit.reigstad@uit.no UiT The Arctic University of Norway
3603.75
bottom depth taken from
ID381
81.9888
81.9858
24.7358
24.8045
3603.75
3604.08
32
81.9957
24.9952
3657.19
192
80.3806
12.1674
NaN
SICE4
2019-08-25
See data file for
instrument serial
numbers. Note change
og temperature sensor
before cast 192.
Vertical haul
Nansen Legacy
Sampling Protocols v4
July 12 2019; 10.2.2
Box corer
SICE4
2019-08-24
Nansen Legacy
Sampling Protocols v4
July 12 2019; 6.2 CTD;
One salinity sample
Sta0188
2019-08-21 2019-08-22
2349.31
2019-08-22
2019-08-23
2019-08-23
188
104
105
106
107
70
109
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
Tove M. Gabrielsen
In situ filtration pump
To be included in v5
Ice station
Vertical haul
Vertical haul; Bottom depth
taken from ID351
3195
76
80.5890
12.0545
19.57
193
80.5944
12.0526
NaN
77
Nansen Legacy
With LADCP; Model
Sampling Protocols v4
WHS300-I-UG502; SN
July 12 2019; 6.2 CTD;
24474 & SN 24472
One salinity sample
Sta0192
Multibeam Survey EM302
line 18-20
LYDPROFIL
Sta0193
Multibeam Survey EM302
line 22-40
See data file for
instrument serial
numbers. Note Temp
sensor changed.
See data file for
instrument serial
numbers. Note Temp
sensor changed.
6 years
280 people
The Nansen Legacy is a six-year project, running
from 2018 to 2023.
There are about 230 researchers working
with the Nansen Legacy, of which 73 are early career
scientists. In addition, 50 persons are involved as
technicians, project coordinators, communication
advisers and board members.
1 400 000 km² of sea
The Nansen Legacy investigates the physical and
biological environment of the northern Barents Sea
and adjacent Arctic Ocean.
10 institutions
The Nansen Legacy unites the complimentary
scientific expertise of ten Norwegian institutions
dedicated to Arctic research.
Arctic Ocean
SURVEY
RV AR
AREA
Greenland
Barents Sea
Scandina
candina
candinavia
>10 fields
50/50 financing
The Nansen Legacy includes scientists from the
fields of biology, chemistry, climate research,
ecosystem modelling, ecotoxicology, geology, ice
physics, meteorology, observational technology,
and physical oceanography.
The Nansen Legacy has a total budget of 740 million
NOK. Half the budget comes from the consortiums’
own funding, while the other half is provided by the
Research Council of Norway and the Ministry of
Education and Research.
>350 days at sea
The Nansen Legacy will conduct 15 scientific cruises
and spend more than 350 days in the northern
Barents Sea and adjacent Arctic Ocean between
2018 and 2022. Most of these cruises are conducted
on the new Norwegian research icebreaker
RV Kronprins Haakon.
nansenlegacy.org
nansenlegacy
nansenlegacy@uit.no
Photo cover: Christian Morel / www.christianmorel.net
The Nansen Legacy in numbers