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Made in Ecopotential

2022

Poster presented at the EUROGEOSS 2019 conference - Lisbona (PT) – Pavilaho do Conoscimiento

Made in ECOPOTENTIAL Data & data portals for natural ecosystems A. Provenzale (1), S. Giamberini (1), C. Marangi (1), J. Masò (2), C. Domingo (2), R. Lucas (3), J. Peterseil (4), D. Poursanidis (5), J. Simoes Funded by the EU under grant (6), I. Manakos (7), K. Marini (7), G. Kordelas (7), P. Blonda (1), M. P. Adamo (1), C. Tarantino (1), A. Karnieli (8), M. Santoro (1), R. No. 641762 Roncella (1), P. Mazzetti (1) (1) National Research Council of Italy, IT, (2) CREAF, ES; (3) Aberstwith Univesity, UK; (4) EEA, AT; (5) FORTH, GR; (6) Starlab, ES, (7) CERTH, GR, (8) Ben Gurion University, IL M SPAC PROTECTED AREAS FRvisOualization of http://maps.ecopotential-project.eu/ Surface air tem perature in Gra n Para diso Nationa 2070-2100 ta for Ecosystem Earth Observation Da is a tool for classifying Monitoring (EODESM) Observation data land cover from Earth d Cover Classification Lan according to the FAO rack allows to collect System. The app Eartht that can be used to on-site classification c classification: validate the automati ac.uk/ http://earthtrack.aber. to B 8 (4 -6 m o n th s ) B 1 (9 m o n th s ) 2 ays) (a v e ra g e 2 9 2 to 1 8 d o n th s ) to B 8 (4 -6 m B 7 (7 -9 m o n th s ) 39 days) (a v e ra g e 2 6 3 to 1 ce The Camargue, Fran Hydro-period (days) Phenology metrics (based on NDVI) Doñana, Spain PERIODS (2009 COMPARISON OF HYDRO ATALOGUE IN SITU DATA C s are made set ENTIAL in situ data Metadata on ECOPOT ry: ito os DEIMS rep available through the e.net/deims/. rop eu erhttps://data.lt iple (findable, s the FAIR princ Information follow le and reusable). accessible, interoperab GEO PORTAL: is accessible from the ue og tal ca ta da e Th copotentialID tal.org/?f:sources=e http://www.geopor d to burned Change from natural grasslan area. areas inside protecte d PA Boundary NDVI value Analysed Area No Changes/Not considered area 1:1.000.000 Autumn Time Series TO 2012) – FROM Landsat Syste m atio n Ma nagem ent ic Eco log ical Info rm ed con tex t sur -as lity DEIMS -SDR (Dyn am qua re sto reg istr y) is use d to TIA L - Site and datase t ut the ECO POTEN ir data pro duc ts abo info rm atio n and the The data Pro tec ted Are as. Recording natural vegetation pulses through time Changes from (Semi-) Natural Grasslands to Other Summer el) EODESM ficatio n Taxon omy to B 1 (> 9 m o n th s ) B 8 (4 -6 m o n th s ) 4 5 to 2 2 0 d a y s ) (a v e ra g e 1 Spring Mod from a Reg iona l Clim ate Temperature [°C] Class es Deriv ed from Cont inuou s Varia bles Winter l Park (data dow nsca led Historical 197 0-2 000 ating the Ecopotential is estim the next for ge an drivers of ch ts on ec eff the decades and em yst os ec d an s ecosystem services. Globa lly Consistent Classi LCCS: A Scala ble And e provides The Web Map Servic as. data of Protected Are ion vat the Earth Obser en Op the h pliant wit This service is com ws allo d an s ard m stand Geospatial Consortiu he on-t d an s PA t ou ation ab visual analysis. Inform ltiple mu or gle sin for ted fly histograms genera ilable. ava are ers lay g yin rla ove Futu re scen ario FUTURE CLIMATE PROJECTIONS E Change map for (Semi-) Natural Grasslands to Other land cover from 2012 to 2015; “Murgia Alta”, Italy d to cultivate d Change from natural grasslan area inside protecte d area. d to cultivate d Change from natural grasslan area. area outside protecte d be detecte d. Errors in time T 1 data can p of: Copernicus (Semi-) From left to right close-u Layer (time T 1), Sentine l-2A Natural Grasslan ds Service map, respectively. image (time T 2), change ECOPOTENTIAL is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 641762. @ECOPOTENTIALprj CHANGES IN PROTECTED AREAS nges in s at estim ating cha ECOPOTENTIAL aim Project's the of cs isti ter drivers and charac using In at pan-European level protected areas and s. set a dat sing Situ and Rem ote Sen les for most relevant variab Different sets of the the w allo l wil tem sys each kind of eco st mo the ongoing changes in quantification of the the and cs isti ter l charac prominent ecologica changes. estim ation of future EcoPotentialProject w w w .Ecootential-Project.eu ECOPOTENTIAL Knowledge and Tools for Conservation of Natural Ecosystems A. Provenzale (1), S. Giamberini (1), C. Marangi (1), S. Imperio (1,2) G. Ziv (3), (1) National Research Council of Italy, IT, (2) Italian Institute for Environmental Protection and Research, IT, (3) University of Leeds, UK Research needs addressing nature conservation issues Modelling Knowledge advancement to support management strategies Managers: identification of practical needs and implementation of concrete actions Scientists: monitoring, modelling, identification of possible actions Policy makers: Identification and implementation of strategies at local and European level The strategy adopted has been to address ecological challenges of global relevance at local scale with and within the project’s 25 protected areas (PA), that cover all the European biogeographic regions and biomes. Researchers and PA staff have identified the anthropogenic pressures, the ecosystem functions and services, the need of EO and climate projections data and the models and tools useful to support knowledge-based conservation strategies. Project workflow in situ + RS data acquisition and processing Protected areas Nature conservation issues are addressed both at pan-European and local scale. Protected areas preserve biota and ecosystems and it is necessary to improve the knowledge of their state and future evolution for putting in place adequate conservation measures both at local, national and international level. Research plan Co-design with PAs Multidisciplinary research Modelling ECOPOTENTIAL is a large H2020 project running from 2015 to 2019, aimed at using existing EO data for analysing the state and temporal evolution of ecosystems in internationally renown protected areas and making the results available through GEOSS and contributing to GEO initiatives. State and evolution of ES What is ECOPOTENTIAL The 4 ECOPOTENTIAL PILLARS Existing EO data https://www.ecopotential-project.eu/site-studies/storylines.html Funded by the EU under grant No. 641762 Change from natural grasslan d to burned areas inside protecte d area. PA Bound ary Changes from (Semi-) Natural Grasslan ds to Other Anal ysed Area No Changes /Not consider ed area Change map for (Semi-) Natural Grasslands Service to Other from 2012 to 2015; “Murgia Alta”, Italy Change from natural area grasslan d to cultivate d inside protecte d area. Change from natural area grasslan d to cultivate d outside protecte d area. of: 1 data can rightTclose-up totime Errors leftin From Natural d. cus (Semi-) be detecte Coperni (time T 1), Grasslan ds Service Layer T 2), change Sentine l-2A image (time map, respectively. • Address the conservation issues • Identify and retreive the data needed • Identify and develop the ecological models • Stakeholders’ engagement to provide suggestions for management policy The research workflow has been contextualised in 23 narratives, many focussed on more than one PA, describing the work plan, the ESS and functions, the data, the models, the results. All the info and results can be found on the ECOPOTENTIAL Vlab https://essilab.wixsite.com/vlab And on the ECOPOTENTIAL website: https://ecopotential-project.eu https://maps.ecopotential-project.eu https://www.ecopotential-project.eu/site-studies/storylines.html ECOPOTENTIAL is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 641762. @ECOPOTENTIALprj EcoPotentialProject w w w .Ecootential-Project.eu