SOIL & CROP SCIENCES | RESEARCH ARTICLE
Impact of land use/cover changes on lake
ecosystem of Ethiopia central rift valley
Eyasu Elias, Weldemariam Seifu, Bereket Tesfaye and Wondwosen Girmay
Cogent Food & Agriculture (2019), 5: 1595876
Page 1 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
SOIL & CROP SCIENCES | RESEARCH ARTICLE
Impact of land use/cover changes on lake
ecosystem of Ethiopia central rift valley
Eyasu Elias1, Weldemariam Seifu1,2*, Bereket Tesfaye3 and Wondwosen Girmay4
Received: 31 October 2018
Accepted: 04 March 2019
First Published: 29 March 2019
*Corresponding authors: Eyasu Elias
and Weldemariam Seifu, Center For
Environmental Science, Addis Ababa
University, Ethiopia
E-mail: weldemariam.seifu@aau.
edu.et
Reviewing editor:
Manuel Tejada Moral, University of
Seville, Seville, Spain
Additional information is available at
the end of the article
Abstract: Central Rift Valley (CRV) Ethiopia is an important region in terms of its
vast ecosystem services (ES)and enriched biodiversity. However, its ES and biodiversity are under terrific pressure from hurried population growth, unsustainable
developmental activities, unplanned urbanization, aggressive agricultural expansion, climate change, and the associated changes in land use and land cover (LULC).
This study was aimed at analyze LULC changes in the Ethiopia CRV areas from 1985
to 2015 through Geographic Information System (GIS) and Remote Sensing (RS)
techniques. Satellite images were accessed, pre-processed and classified. Field
observations, discussion with dwellers (elders) were also employed to validate
results from remotely sensed data. Major LULC types were detected and change
analysis was executed. Consequently, nine LULC changes were successfully evaluated. The classification result revealed that in 1985 the area was covered by 44.34%
with small-scale farming followed by mixed cultivated/acacia (21.89%), open
woodland (11.96%), and water bodies (9.77%), respectively. Though the area measure varied among land use classes, the trend of share occupied by the LULC types
in the study area remained the same in 1995 and 2015. In this research increase in
small and large-scale farming, settlements and mixed cultivation/acacia while
a decrease in water bodies, forest, and open woodlands is noted. Accordingly, the
overall accuracy of this study was 84.46, 86.86 and 88.86 with kapa value of 0.82,
0.84 and 0.87, respectively. Lastly, the DPSIR framework analysis was done and
integrated land use and policy reform are suggested as a response for sustainable
land use planning and management.
ABOUT THE AUTHOR
PUBLIC INTEREST STATEMENT
Eyasu Elias is an associate professor of Soil
Science and a lecturer at center for environmental sciences, AAU. He has published extensively in reputable international journals in the
area of soil science and environment and he is
the sole author of the book recently published
entitled, “Soils of the Ethiopian Highlands:
Geomorphology and Properties”. WS, BT, and WG
are a doctoral candidate in the Center for
Environmental Science, College of Natural and
computational sciences, Addis Ababa University,
Ethiopia. WS and BT are lecturers at Selale
University and Addis Ababa Science and
Technology University, respectively. WG is
a senior expert at Addis Ababa University – Horn
of Africa Regional Environment Centre and
Network.
The study was designed for better documentation
of LULC information for the central Rift Valley
areas which will supply important information for
further environmental management. The area is
well known by water resources and endowed by
various biodiversity. However, due to many
negative triggering factors, such as population
pressure, environmental unfriendly expansion of
investments, urbanization, deforestation etc…, its
natural quality is deteriorated and degraded in
the course of time. Therefore, studying the status
of the area with scientific approaches will help to
know the trend and develop a restoring mechanism. Therefore, in this study LULC analysis since
1985 to 2015 is assessed with help of GIS technology and finally policy options are forwarded for
sustainable land use policy.
© 2019 The Author(s). This open access article is distributed under a Creative Commons
Attribution (CC-BY) 4.0 license.
Page 2 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Subjects: Agriculture & Environmental Sciences; Soil Sciences; Marine & Aquatic Science;
Environment & Business; Environment & Resources; Environment & Health; Conservation Environment Studies; Biodiversity & Conservation; Ecology - Environment Studies;
Environmental Change & Pollution
Keywords: central rift valley; Ethiopia; landsat images; lake; land use/land cover
1. Introduction
Land usage states to the deployment of land for diverse purposes, whereas land cover specifies
the regular and non-natural cover on the land surface (e.g., natural vegetation, agriculture, bare
earth, water bodies, and man-made structures) (Mondal & Zhang, 2018). Ethiopia has a very varied
set of biotas ranging from humid forest and extensive wetlands to the desert (Tefera, 2011) and
inside these miscellany environments, LULC changes are a ubiquitous and common occurrence
where agricultural deeds and settlements dominate rural landscapes affecting ES. The land is finite
and non-renewable resource deliver services needed for human well-being (Tolessa, Senbeta, &
Kidane, 2017) and ecosystems provide a wide range of multiple services that vary in quantity and
quality depending on the type of ecosystems and their status (Costanza et al., 2014; De Groot
et al., 2012; Ma, 2005). Many of the land resource services, important for sustaining life on earth
and maintaining the integrity of the ecosystem are fronting difficulty because land resources are
falling under threat and stress in time. Thus, LULC changes have freshly developed a major
attention area in the global research community (National Research Council, 2014; Rogan &
Chen, 2004) because of its significant effects on climate change (Pielke et al., 2011; IPCC, 2013),
biogeochemical cycles (Houghton et al., 2012), and ES and biodiversity (Phalan, Onial, Balmford, &
Green, 2011).
ESs are the aids people get from ecosystems (Capistrano, Samper, Lee, & Raudsepp-Hearne,
2005) and not only provide a multitude of purposes, including clean air, fresh water, food, fuel, and
other services, but also play a critical role in sustaining and improving human well-being, which is
essential for regional landscape sustainability. However, over the past half centuries, nearly 60% of
the studied ESs has been degraded due to increases in global population and economic growth,
especially in drylands (Capistrano et al., 2005). Thus, to provide a better understanding of changes
in degrading ecosystems and the potential for ecosystem restoration, ESs has been identified as an
ecological concept important for policymakers and practitioners in recent years.
Land use/cover conversion is single amongst the leading pouring forces (Lambin, Rounsevell, &
Geist, 2000; Lasanta, González-Hidalgo, Vicente-Serrano, & Sferi, 2006) on global and local environmental changes though its impact varies across space and time (Bryan, 2013; Costanza et al.,
2014). Enlargement of farming, sprawl urbanization, deforestation and the day to day activities of
mankind resulted in temporal and spatial changes in the land use/cover which in turn affects ES
such as hydrological regulation and soil erosion losses (Rawat & Kumar, 2015). In Ethiopia,
observed suggestion shows that there has been substantial LULC in diverse parts of the country
(Girmay, Singh, & Dick, 2010). These changes have vital eco-friendly concerns at local, provincial
and universal scales (Bewket & Abebe, 2013). At the local scale, land use changes affect watershed
runoff, micro-climatic resources, groundwater tables, processes of land degradation and landscape
level biodiversity (Lambin & Geist, 2008). A few decades ago, the CRV basin is known for its dense
acacia woodlands that have now been transformed into agricultural and grazing lands
(Gebreslassie, 2014). These have serious eco-environmental problematic exposed the region’s
viable social and economic improvement (Collier & Dercon, 2014; Peng, Xu, Cai, & Xiao, 2011).
Land use/cover change is motivated by numerous causes from environmental and social
dimensions in a land system (Gong, Yang, & Tang, 2015). Reasons for these changes are
many faceted, however, the major among others are lack of proper land use policy (Teka,
Van Rompaey, & Poesen, 2013). Thus, land cover dynamic becomes a concern of the 21st
century with the dramatic implication for human survival. Water bodies (especially, wetlands
Page 3 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
and lakes) are, Important environmental components of the terrestrial landscape which
cover a significant portion of the country total land area, performing significant ecosystem
services (Amsalu & Addisu, 2014) like climate regulation, pollutant reduction, flood storage,
drought control, water supply, and biodiversity conservation (Haslam, 2004; Mitsch &
Gosselink, 2000). However, water body degradation is becoming more and more serious
thereby accelerating the degradation ecological balance and environmental quality (Day
et al., 2003; Dimitriou et al., 2008) and their biota are at risk from the combined effects of
changes in Ethiopia. As a result of faulty use, the area has experienced fluctuations in lake
level of tens to hundreds of meters in the past 200 years (Olaka, Odada, Trauth, & Olago,
2010). Many authors reported also as climate changes coupled with water for domestic use,
fisheries, small and large-scale agriculture (floriculture and horticultural farms) have altered
the lakes hydrodynamics (Geheb & Abebe, 2003; Hengsdijk & Jansen, 2006a; Zeray, Roehrig,
& Chekol, 2006; Olaka et al., 2010).
Hence, to this end, this research was initiated to analyze the land use and land cover changes in
the CRV at three different temporal scales viz. 1985, 1995 and 2015 with a close look to the
empirical and statistical relation of the LULC changes, mainly focusing on the ecological landscapes of CRV zone and its lakes likely to generate updated data and supplement the already
recorded information that ultimately guides restoration and/or conservation intervention in the
areas. Therefore, the main objective of this research work was to characterize GIS-supported LULC
changes of the CRV Ethiopia and was addressed the following specific activities: (i) Conduct GIS
supported LULC change analysis over three periods (1985; 1995 and 2015) and characterize LULC
classes,(ii) Analyse and Prepare LULC change map and accompanying data for LULC classes, (iii)
Identify the drivers and analyzing impacts of LULC changes using Driver-Pressure-State-ImpactResponse (DPSIR) framework to depict sustainable landscape restoration.
2. Methods and materials
2.1. The study area
Figure A1 presents the CRV region where this study was conducted. Geographically, CRV is
located between 38º15ʹE and 39º25ʹE and 7º10ʹN and 8º30ʹNcoordinates. The CRV in Ethiopia
makes an area of about 1.3Mha (Hengsdijk & Jansen, 2006b). This is a section of the Main
Ethiopian Rift comprises a significant part of the great African Rift Valley system that stretches
from the Red Sea to Mozambique crossing Ethiopia, Kenya, and Tanzania. It is divided into
three subsystems: Chew Bahir (Lake Stephanie), CRV, and Afar triangle (Muzein, 2006). CRV
comprises Ziway, Langano, Abijata, and Shalla Lakes from the rift valley basin and Hawassa,
Abaya, Chamo, and Chew-Bahir lakes from the lower sub-basin. These lakes, which once
formed one large water body, support important biodiversity resources that have global significance. The CRV basin contains unique fauna and flora species of which a significant number
are endemic. The area is an important breeding and feeding site for some rare species of
resident and migratory birds. A good example is Lake Abijata and Lake Shala form together
a National Park, which has been submitted as candidate site by the Ethiopian Government to
the Ramsar convention on wetlands.
2.2. Data sources and method of analysis
2.2.1. Satellite images
Spatiotemporal data of 2 Landsat 5 TM 30 m (1985 and 1995) images and one Landsat 8 OLI/TIRS
30 m (2015) image were downloaded from open access Landsat imagery services (Table A1).
Relative cloud-free specific date and year (January, February, and December) was used for the
acquisition of Landsat imagery across the study area. GIS data on the administrative boundary,
road network, towns, and river network were obtained from the GIS department of the Ministry of
Water, Irrigation and Electricity (MoWIE), Ethiopia. A 30 m resolution Digital Elevation Model (DEM),
based on Aster imagery was also employed. In addition, ancillary data were also utilized during
Page 4 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
analysis. All data were projected to the Universal Transverse Mercator (UTM) projection system
zone 37N and datum of World Geodetic System 84 (WGS84), ensuring consistency between
datasets during analysis.
2.2.2. Image pre-processing and classification
Image extraction, layer stacking and change detection were performed on the Landsat TM/OLI
images obtained for different dates in order to create multi-band composite images since the
study area lies on two scenes. Data were pre-processed in ERDAS imagine for mosaicking, and
subsetting. Satellite image re-processing was conducted to establish a more direct affiliation
between the acquired data and biophysical phenomena. Then land use and land cover change
detection were analyzed for the last 30 years in GIS environ through hybrid classification technique
(Figure A2).
The analysis detects nine land use and land cover type (Table A2). It was conducted using postclassification image comparison technique (Lillesand, Kiefer, & Chipman, 2014). Images of different reference years were first independently classified. The percentage of change within the same
LULC class between two-time points is calculated as follows as stated in the values were presented
in terms of hectares (ha) and percentages (%). Positive values suggest an increase whereas
negative values imply a decrease in extent.
Changeð%Þ ¼
ðArt
Apt Þ
100
Apt
(1)
Where: Change (%): percent change in the area of specific land use land cover class between times
in and in−1, Art: is a recent area of LULC at time t and Apt: is the previous area of LULC at earlier
time t.
To calculate annual rate of change for each land use class, the difference between final year to
initial year which represents magnitude of change between corresponding years was divided by the
number of study years i.e. 1985–1995 (10 years), 1995–2015 (20 years), and 1985–2015 (30 years)
respectively using the following Equation as stated by (Meshesha, Tripathi, & Khare, 2016):
Annual RΔð%Þ ¼
changeð%Þ
ΔT
(3)
Where: Annual RΔ = Annual Rate of change, Change (%) = % change in the area of specific land use
land cover class (Equation (1)) and ΔT = time interval between initial and previous LULC class in years.
2.2.3. Accuracy assessment
Quality evaluation is one of the first steps in making LULC (Giri, 2012). Thus, to check the accuracy
and performance of LULC classification for 1985,1995 and 2015 imageries, Ground Control Points
(GCP) and Goggle Earth image were used (Traore et al., 2018) and stratified random sample
strategy was adopted to assess the accuracy of the classified map (Congalton & Green, 2009).
Therefore, 450 GCPs were collected using a handled Garmin GPS for 2015 images and for 1985 and
1995 images GCPs generated from Google Earth were used and random pixels were generated for
each classified image in ArcGIS 10.3 environ for comparison. Then, comparison of classified images
and reference data was carried out statistically using error matrix (Table A3). Accordingly, the over
all accuracy of this study was 84.46, 86.86 and 88.86 with kapa value of 0.82, 0.84 and 0.87,
respectively. The Kappa quantity, which measures the difference between the actual agreement of
classified map and chance agreement of random classifier compared to reference data, was also
calculated as (Congalton, 1991):
Khat ¼
N ∑ri¼0 ∑ri¼0 ðXiþ Xþi Þ
N2
∑ri¼0 ðXiþ Xþi Þ
(2)
Page 5 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Where r is the number of rows, xi is the number of observations in row i and column i, xi+ and x+i
are the marginal totals of row and column, and N is the total number of observed pixels. Moreover,
while doing the ground truthing we have also incorporated information from field observation and
discussion with dwellers (elders) on the environmental impacts of horticulture investments and the
land use land cover changes in the area and particularly in water bodies.
3. Results and discussions
3.1. CRV land use/cover mapping and analysis (1985 −2015)
The Landscapes of the study area has undergone and experienced LULC changes in the last three
decades (Figure A3(a-c), Table A4 and A5). The data show that there is a temporal change in LULC
which may be in response to population and economic growth, public and private investments, and
market and government actions (Berke & Kaiser, 2006). In 1985, 44.34% of the land was covered
with small-scale farming followed by mixed cultivated with interspersed growth of acacia woods
(21.89%), open woodland (11.96%), and water bodies (9.77%). The area under crop fields covered
about 75% of the total areas in 2015 predominantly following the introduction of large-scale
floriculture and horticulture farms however small-scale farming seems to decrease but was shifted
to large-scale farming and water bodies were declined to 8.64%.
Moreover, small-scale irrigated farming has expanded considerably with the establishment of
irrigation water user associations that grow vegetables for the central market around Addis Ababa.
The expansion of irrigated agriculture has caused some serious environmental problems including
polluting freshwater lakes and a reduction in the levels of the lake water. Hengsdijk and Jansen
(2006a) explained also horticultural cultivation and floriculture greenhouse complex are built and
widespread along the shoreline of Lake Ziway which increase pressure to nearby water assets and
inputs (nutrients and biocides) might expand the hazard of environmental contamination”.
The expansion in agricultural extent might be associated with the increasing of small-scale
irrigated land and expansion of large-scale farming (vegetable and flower farms) which might, in
turn, affects the water bodies. This result is in agreement with a study conduct at Yazet
Watershed, North Western Ethiopia (Tadesse, Suryabhagavan, Sridhar, & Legesse, 2017) and in
Ethiopia Rift Valley (Ariti, van Vliet, & Verburg, 2015; Daniel, Daniel, & Muluneh, 2012) reported as,
cultivated land is escalating as a result of population pressure, which demands agricultural land
for food production. Authors (Assefa & Bork, 2016) also report similar results for Chencha and
Arbaminch areas revealing that farmland inadequacy has now triggered farmers to cultivate
marginal land areas and fragile ecosystems. Research finding of (Muzein, 2006) also confirms
that more than 4/5 of the total terrestrial productive ecosystem for the Ethiopian central rift valley
loss was agriculture.
The study also indicates loss of water body. The change results explain a continual decline in
water bodies, open grazing land, forest and degraded savannah all over the study periods. The
water bodies were decreased by 3.16% and 8.69%, respectively during the first two periods and in
the third period, an overall decline of 11.57% was recorded. The highest rate of turn down of water
bodies was recorded in the second period which might be associated with the expansion of
industries (like water abstraction of soda ash), small-scale irrigated lands and large-scale farming
(vegetable and floriculture farms) around the water bodies which consumes a lot of water for their
activity. Many authors (Ayenew, 2004; Legesse & Ayenew, 2006) confirm that rift valley lakes and
Feeder Rivers are exploited for soda extraction, commercial fish farming, irrigation, and recreation,
and host variety of endemic birds and wild animals and levels of some of these lakes have
changed temporally.
The maximum rate of degeneration of forest cover was also observed in the second period,
which might be accompanied with a regime change which is in conformity with other studies
(Demissie, Yeshitila, Kindu, & Schneider, 2017; Eshetu, 2014; Kindu, Schneider, Teketay, & Knoke,
Page 6 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
2015) and deforestation through cutting acacia trees for charcoal production has also become
a common phenomenon, as it is an easy cash source for some farmers since the main road that
connects Addis Ababa to the Southern Regions provides an opportunity for roadside charcoal and
wood sellers (Muzein, 2006). Conversely, settlements, mixed cultivated/acacia lands, and largescale farming depict an escalating trend though vary and fluctuate in values. As (Ariti, van Vliet, &
Verburg, 2018) revealed that in the past four decades grasslands, forests, and water bodies have
declined mainly due to 1975 land proclamation, 1995 constitution, and water, irrigation, and
investment policies, respectively. The annual LULC change Analysis revealed also settlement and
mixed cultivated/acacia experienced an increasing trend whereas water bodies show a continuous
decline throughout the entire study periods (Table A6).
3.2. Changes in surface area of the CRV lakes (1985 −2015)
The Rift Valley Lakes Basin is one of the major river basins in Ethiopia with a total area of about
52,000 km2 (MoWR, 2010). The basin is characterized by a chain of lakes varying in size as well as
in hydrological and hydrogeological settings. It constitutes nine lakes viz, Lake Ziway, Lake
Langano, Lake Abiyata, Lake Shalla, Lake Hawassa, Lake Abaya, Lake Chamo, Lake Abbe and
Lake Beseka (Alemayehu, Ayenew, & Kebede, 2006). However, significant changes have been
observed in the hydrology of the Rift Valley lakes in Ethiopia over the past decades (Seyoum,
Milewski, & Durham, 2015). The CRV encompassing Lake Ziway, Lake Abjiata, Lake Langano and
Lake Shala which forms a complex and vulnerable hydrological system with unique ecological
characteristics (Jansen et al., 2007) that are fed by streams of Meki and Ketar Rivers in the
upstream portions of the catchments. These rivers drain into Lake Ziway traveling long distances
and from Lake Ziway water is discharged into the Bulbula River, which flows to Lake Abjiata. But,
regarding Lake Shalla, the available literature is very limited. This might be due to the little interest
in the lake water because of its alkaline nature which discourages its use for irrigation purpose
(Belete, Diekkrüger, & Roehrig, 2015; Raventós Vilalta, 2010).
These lakes support a considerable wide variety of aquatic and terrestrial biodiversity and are
habitat to different kinds of edible fish. Despite their services, human-induced and natural factors
affect the water quality of the lakes (Ayenew, 2008; Ridgeley et al., 2012; Tefera et al., 2002). The
change detection shows that water mount of Lake Abijata, Ziway, Langano, and Shalla showed
a reduction of surface area during the entire study periods by 25.92%, 0.52%, 0.81% and 0.02%
(Figure A4; Table A7) from their 1985’s size, respectively. Such kind of drastic change (e.g. Lake
Abjiata) in surface area may have long-lasting negative consequences because the reduction in
surface area of the four lakes intertwined negative impact on ecosystems, biodiversity, and
livelihood of the community. This result is supported by (Olaka et al., 2010)who reported the
fluctuations for Lake Zeway in lake level of tens to hundreds of meters in the past 200 years.
Others reported similar trend as some lakes have shrunk due to the excessive abstraction of water
like Lake Abjiata dropped significantly over three decades because of the extraction of water for
soda and an upstream diversion for irrigation (Hengsdijk et al., 2007; Legesse & Ayenew, 2006;
Yohannes, Mohammed, & Elias, 2017). Many studies indicate that the CRV Lakes and their
watershed support unique ecological and hydrological characteristics which host to a wide array
of economic, domestic and recreational activities, including the flower industry, soda abstraction
and fish farming (Ayenew, 2007) and support the livelihoods of approximately 2 million people
(CSA, 2013) and populate 1.9 million livestock (Meshesha, Tsunekawa, & Tsubo, 2012). Therefore,
the reduction in the area of these lakes will have an impact on fisheries and lake-related ecosystems and causing the shrinkage of outflows of these lakes which is associated with environmental
degradation, particularly the loss of aquatic bird life, water users along the rivers for domestic and
livestock and irrigated farms.
The annual rate of lakes area change is also experienced a decreasing trend through. As presented
in Table A7 Lake Abjiata takes the lion share in an annual reduction by 12.07% during the first decades
and by 13.39% by the next two decades. This result is in conformity with different findings of since the
1980s, as the water level of Lake Abjiata has significantly dropped due to the investment policies which
Page 7 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
affect the water resources of the area, especially river Bulbula and Lake Abijata and in response to
natural condition variability. The use of river Bulbula, which is the main tributary for Lake Abjiata, for
irrigation and factories, has caused the river to dry up, contributing to the shrinkage of Lake Abjiata.
According to (Ayenew, 2002), uncontrolled water abstraction from Lake Ziway and the irrigation
scheme on the River Bulbula significantly affects the water level of Lake Abijata. The fishery in Lake
Abijata has totally collapsed and birds such as Lesser Flamingo (Phoeniconaias minor Geoffroy) and
Great White Pelican (Pelecanus onocrotaluroseus) have been migrating to nearby lakes (Yohannes
et al., 2017). If it continues like this, the lake will be facing an imminent threat of collapse and the
existence of the Park would be unlikely and will be expected to share the bad history of Haramaya
Lake. Hence, the minimum water flow on river Bulbula should be maintained through an integrated
water resource management practices on a basin-wide scale to maintain the life in the Lake Abjiata.
3.3. Drivers of LULC changes in CRV ethiopia
Many recent studies indicate substantial and speedy LULC change in Ethiopia manifested in environmental and economic impacts (Gashaw, Tulu, Argaw, & Worqlul, 2017; Miheretu & Assefa, 2017).
Similarly, Ethiopia CRV changes in LULC are overseen by a combination of geographical, environmental and socio-economic factors. In addition to Imagery analysis, the field observation for current
and discussion with elder dwellers for past also ensures that multiple effects of LULC change in the
study area have happened between1985 and 2015. According to the elders’ response, the primary
reason for the change is population growth, and added contribution of other causes such as
environmental factors and economic development are also contributing significantly.
Scientifically, the drivers of land-use and land-cover changes are often classified into proximate
and underlying causes (Lambin, Geist, & Lepers, 2003) and both driving forces caused the observed
changes in the study area. The proximate causes are the immediate actions of local people such as
agricultural expansion since the coverage of total cultivated land is increased over time. Author
(Molla, 2015)further explained that the major causes of acacia woodland, shrub/bushland, and
other vegetation change is directly related to agricultural activities and was a driving force for
20.4% and 27.8% of natural vegetation loss during 1973 to 2010 periods due to the increasing
demand for food for the increasing household members. wood extraction, infrastructure expansion
and others which change the physical state of land cover are also part of the proximate causes as
of (Lambin & Geist, 2008) study.
As (Geist et al., 2006) explained underlying factors push the proximate causes into immediate
effect which include changes in demographic pressure, economic condition and technological and
institutional factors (Riebsame, Meyer, & Turner, 1994). In the CRV area, population pressure is
found as one of the major underlying causes of land use/cove changes which contribute more to
resources degradation through shrub/tree cutting for fuel consumption and charcoal production.
Many authors confirmed (Kabba & Li, 2011; Lambin et al., 2003) that human population growth
pressures are expanding the area of land-uses such as agriculture and settlement into natural
habitats in all parts of the world to meet the demand for food and housing. Therefore, the drivers/
causes of LULC changes from a range of biophysical, demographic, economic, infrastructural and
technological factors are posing a normal ecosystem function.
As confirmed from field visit observations and discussion with occupants, the large portions of
the study areas are intensively cultivated upon the expansion of investment on horticultural
production and increasing of vegetable irrigating by a union and individual farmers too. The
other noted and mentioned problem by dwellers is the vegetation clearance for charcoal production since the area is found in the main road of Addis Ababa to Hawassa. This all incidences cause
soil degradation down to the main lakes of the CRV. As a result, most parts of the lakes’ watersheds become less capable of absorbing and holding the rainfall water, which in turn enabled the
removal of the top fertile soils and frequent flooding. This conclusion is in agreement with the
results of (Teklemariam et al., 2017a) who explain the problem of sedimentation at down streams
of the catchments around the Grand Ethiopian Renaissance Dam due to intensive farming at
Page 8 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
upstream areas. Expansion of urban due to the population growth and movement of people to
towns to search job in the commercial farms established around the study areas has resulted also
in the acquisition of most suitable agricultural lands for urban development. The finding of (Moges
& Bhat, 2018) confirms that urban expansion has resulted in an increased price of agricultural
lands, overconsumption of irrigable water, and the increased price of food and fuel.
3.4. Analyses of land cover change using the DPSIR framework
The DPSIR framework has evolved into a widely used tool to provide and communicate knowledge on the state and causal factors regarding environmental issues. Due to the interdisciplinary nature of environmental issues and their links with certain sociotechnical, political, and
economic factors, a holistic analysis is required in the collection, assessment, and evaluation of
various data/information (Pandey & Shrestha, 2016). In this study, analysis was employed in
assessing the land use/cover change of CRV and the results of land cover change detection
using remote sensing are placed in the context of the DPSIR framework as a platform for an
explanation. The decision cycle (Figure A5) starts from the Problematization (Table A8) of the
issue to the final decision. The linkages between problems and their immediate causes, sector
activities/intermediate causes, and the root causes i.e. human activities leading to the conception of the problem were identified (Figure A6). Accordingly, policy options were identified as
a prime concern to discourse the water environment deterioration in particular and for possible
remedial action platform of the CRV lakes including, land use policy considerations, conservation, and rehabilitation of land resources, use of monitoring and early warning system, commitment to international conventions on land use, investments in land and water resources, and
applying appropriate land use planning.
4. Conclusion and policy implications
4.1. Conclusion
Numerous studies related to LULC changes in Ethiopia have signposted that the country has experienced rapid and increasingly noticeable LULC changes since the late half of 20 century. Accordingly,
this study also provided information on how land-use and land cover changed in CRV Ethiopia from
1985 to 2015. CRV Ethiopia is a home to many remarkable aquatic and terrestrial ecosystems but
degradation of natural resources are firmly intertwined and expressed. Generally, rapid population
growth, agricultural expansion, environmental fluctuations, degradation of natural resource and loss
of biodiversity are the most visible socio-economic and environmental problem in the CRV area and all
these put pressures on the water bodies (mainly on the four lakes, Ziway, Langano, Abijata and Shalla).
Landscape change as a result of LULC and simultaneous landscape pattern changes are ongoing phenomena in the CRV area. This study also show that over the last 30 years’ period
(1985 to 2015), major LULC changes were recorded in the CRV, mainly arable land expansion
(small and large scale farming including irrigated agriculture) is noticed, reduction of natural
vegetation is observed and also the water resources have been shrinking in size and depth
significantly. More specifically, Lake Abijata showed a progressive decline by 25.9% resulting
in severe degradation of the fragile ecosystems that have sustained the unique biodiversity
(fauna and flora) for long. Consequently, the Abjiata-Shalla National Park is on the verge of
collapse, the second episode of lake collapse in the nation next to Lake Haramaya if a serious
measurement is not taken on time. These all consequences may alter the nutrient levels,
water regime and related processes then may damage both aquatic and terrestrial biodiversity and reduce productivity unless restoration actions are taken soon sustainably. Further
detailed study and quantification is still very important on biodiversity resource specific wise
to pinpoint vulnerable species that need urgent conservation attention and design sustainable resource management strategy.
Page 9 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
4.2. Policy implications
Based on the finding and DPSIR framework analysis, integrated land use and development planning
and policy reform are suggested to encourage the on-going and planned ecosystem restoration,
degraded land rehabilitation, and biodiversity conservation intervention in the CRV Lakes of
Ethiopia via:
●
●
●
●
An effective water management plan and practice should be employed at the landscape level
breaking down major river basin into sub-watersheds and prioritizing the sub-watershed for
conservation and management based on degradation level.
Integrated land use and development planning should be done for the watershed prior to any
developmental project being conducted in the area and must be preceded by a proper
Environmental Impact Assessment (EIA) considering the impact on water resources,
Groundwater abstraction (the process of taking water from a ground source, either temporarily or permanently) is another problem since most water is used for irrigation or treatment.
Depending on the environmental legislation (in Ethiopia), controls may be placed on abstraction to limit the amount of water that can be removed. Over-abstraction can lead to rivers
drying up or the level of groundwater aquifers reducing unacceptably. Thus, the science of
hydrogeology should be used to assess the safe abstraction levels.
Collaboration and commitment of the government with other stakeholders and working very
closely with communities through participatory approach is an important way to reverse the
current trend of LULC changes in the CRV area.
List of Abbreviations
CRV
Central Rift Valley;
DPSIR
Driver, Pressure, State, Impact, and Response;
GCP
Ground Control Point;
LULCC
Land Use Land Cover change.
Acknowledgements
The authors gratefully acknowledge to Hamere Yohannes
for her assistance in the GIS work and analysis and to the
Ministry of Water and Irrigation for providing Rift valley
basin GIS data and to all individuals, farmers and experts
(development agents) who participated in this study by
providing important information.
Funding
Not applicable
Competing interests
The authors declare that they have no competing
interests.
Consent for publication
Not applicable
Cover image
Source: Author.
Availability of data and material
The data supporting the results presented in this study are
available from the corresponding author upon reasonable
request.
Authors’ contributions
All authors participated in conceiving, designing, and
coordination. All the authors also involved to draft the
manuscript as well as approved the final manuscript.
Finally, all authors read and approved the final
manuscript.
Author details
Eyasu Elias1
E-mail: eyasu.elias@aau.edu.et
ORCID ID: http://orcid.org/0000-0003-4008-6470
Weldemariam Seifu1,2
E-mail: weldemariam.seifu@aau.edu.et
ORCID ID: http://orcid.org/0000-0003-0927-3040
Bereket Tesfaye3
E-mail: berekettesfaye77@gmail.com
Wondwosen Girmay4
E-mail: wondeg@gmail.com
1
Centre for Environmental Science, College of Natural and
Computational Sciences, Addis Ababa University, Addis
Ababa, Ethiopia.
2
Department of Horticulture, College of Agriculture and
Natural Resources, Selale University, Fiche, Ethiopia.
3
Department of Ecobiology, College of applied sciences,
Addis Ababa Science and Technology University, Addis
Ababa, Ethiopia.
4
Horn of Africa Regional Environment Centre and
Network, AddisAbaba University, Addis Ababa, Ethiopia.
Citation information
Cite this article as: Impact of land use/cover changes on
lake ecosystem of Ethiopia central rift valley, Eyasu Elias,
Weldemariam Seifu, Bereket Tesfaye & Wondwosen
Girmay, Cogent Food & Agriculture (2019), 5: 1595876.
References
Alemayehu, T., Ayenew, T., & Kebede, S. (2006).
Hydrogeochemical and lake level changes in the
Page 10 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Ethiopian Rift. Journal of Hydrology, 316, 290–300.
doi:10.1016/j.jhydrol.2005.04.024
Amsalu, T., & Addisu, S. (2014). A review of wetland
conservation and management policy in Ethiopian.
International Journal of Scientific and Research
Publications, 4(9), 656.
Ariti, A. T., van Vliet, J., & Verburg, P. H. (2015). Land-use
and land-cover changes in the central rift valley of
Ethiopia: Assessment of perception and adaptation
of stakeholders. Applied Geography, 65, 28–37.
doi:10.1016/j.apgeog.2015.10.002
Ariti, A. T., van Vliet, J., & Verburg, P. H. (2018). Farmers’
participation in the development of land use policies
for the central rift valley of Ethiopia. Land Use Policy,
71, 129–137. doi:10.1016/j.landusepol.2017.11.051
Assefa, E., & Bork, H.-R. (2016). Dynamics and driving forces
of agricultural landscapes in Southern Ethiopia–A case
study of the Chencha and Arbaminch areas. Journal of
Land Use Science, 11, 278–293.
Ayenew, T. (2002). Recent changes in the level of Lake
Abiyata, central main Ethiopian Rift. Hydrological
Sciences Journal, 47, 493–503. doi:10.1080/
02626660209492949
Ayenew, T. (2004). Environmental implications of changes
in the levels of lakes in the Ethiopian Rift since 1970.
Regional Environmental Change, 4, 192–204.
doi:10.1007/s10113-004-0083-x
Ayenew, T. (2007). Water management problems in the
Ethiopian rift: Challenges for development. Journal of
African Earth Sciences, 48, 222–236. doi:10.1016/j.
jafrearsci.2006.05.010
Ayenew, T. (2008). The distribution and hydrogeological
controls of fluoride in the groundwater of central
Ethiopian rift and adjacent highlands. Environmental
Geology, 54, 1313–1324. doi:10.1007/s00254-0070914-4
Belete, M. D., Diekkrüger, B., & Roehrig, J. (2015).
Characterization of water level variability of the main
ethiopian rift valley lakes. Hydrology, 3, 1.
doi:10.3390/hydrology3010001
Berke, P., & Kaiser, E. J. (2006). Urban land use planning.
University of Illinois Press, USA.
Bewket, W., & Abebe, S. (2013). Land-use and land-cover
change and its environmental implications in
a tropical highland watershed, Ethiopia. International
Journal of Environmental Studies, 70, 126–139.
doi:10.1080/00207233.2012.755765
Bryan, B. A. (2013). Incentives, land use, and ecosystem
services: Synthesizing complex linkages.
Environmental Science & Policy, 27, 124–134.
doi:10.1016/j.envsci.2012.12.010
Capistrano, D., Samper, C., Lee, M. J., & Raudsepp-Hearne,
C. (2005). Ecosystems and human well-being:
Multiscale assessments: Findings of the sub-global
assessments working group of the millenium ecosystem assessment. Washington, DC, USA: Island Press.
Collier, P., & Dercon, S. (2014). African agriculture in 50
years: Smallholders in a rapidly changing world?
World Development, 63, 92–101. doi:10.1016/j.
worlddev.2013.10.001
Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data.
Remote Sensing of Environment, 37, 35–46.
doi:10.1016/0034-4257(91)90048-B
Costanza, R., de Groot, R., Sutton, P., Van der Ploeg, S.,
Anderson, S. J., Kubiszewski, I., … Turner, R. K. (2014).
Changes in the global value of ecosystem services.
Global Environmental Change, 26, 152–158.
doi:10.1016/j.gloenvcha.2014.04.002
CSA. (2013). Statistical Abstract: Ethiopian Central
Statistical Authority. Addis Ababa Ethiopia.
Daniel, A. M., Daniel, K. W., & Muluneh, W. (2012).
Detection and analysis of land-use and land-cover
changes in the Midwest escarpment of the Ethiopian
Rift Valley. Journal of Land Use Science, 7, 239–260.
doi:10.1080/1747423X.2011.562556
Day, J. W., Jr, Arancibia, A. Y., Mitsch, W. J., LaraDominguez, A. L., Day, J. N., Ko, J.-Y., … Lomeli, D. Z.
(2003). Using ecotechnology to address water quality
and wetland habitat loss problems in the Mississippi
basin: A hierarchical approach. Biotechnology
Advances, 22, 135–159.
De Groot, R., Brander, L., Van Der Ploeg, S., Costanza, R.,
Bernard, F., Braat, L., … Hein, L. (2012). Global estimates of the value of ecosystems and their services
in monetary units. Ecosystem Services, 1, 50–61.
doi:10.1016/j.ecoser.2012.07.005
Demissie, F., Yeshitila, K., Kindu, M., & Schneider, T. (2017).
Land use/Land cover changes and their causes in
Libokemkem District of South Gonder, Ethiopia.
Remote Sensing Applications: Society and
Environment, 8, 224–230. doi:10.1016/j.
rsase.2017.10.001
Dimitriou, E., Karaouzas, I., Sarantakos, K., Zacharias, I.,
Bogdanos, K., & Diapoulis, A. (2008). Groundwater
risk assessment at a heavily industrialised catchment
and the associated impacts on a peri-urban wetland.
Journal of Environmental Management, 88, 526–538.
doi:10.1016/j.jenvman.2007.03.019
Eshetu, A. A. (2014). Forest resource management systems in Ethiopia: Historical perspective. International
Journal of Biodiversity and Conservation, 6, 121–131.
doi:10.5897/IJBC2013.0645
Gashaw, T., Tulu, T., Argaw, M., & Worqlul, A. W. (2017).
Evaluation and prediction of land use/land cover
changes in the Andassa watershed, Blue Nile Basin,
Ethiopia. Environmental Systems Research, 6(1).
doi:10.1186/s40068-017-0094-5
Gebreslassie, H. (2014). Land use-land cover dynamics of
Huluka watershed, Central Rift Valley, Ethiopia.
International Soil and Water Conservation Research,
2, 25–33. doi:10.1016/S2095-6339(15)30055-1
Geheb, K., & Abebe, Y. D. (2003). Wetlands of Ethiopia:
Proceedings of a seminar on the resources and status
of Ethiopia’s wetlands. IUCN.
Geist, H., McConnell, W., Lambin, E. F., Moran, E., Alves, D.,
Rudel, T. (2006). Causes and trajectories of land-use/
cover change. In E. F. Lambin & H. Geist (Eds.), Landuse and land-cover change. Global change - The IGBP
series. Berlin, Heidelberg: Springer.
Giri, C. P. (2012). Remote sensing of land use and land
cover change: Principles and applications. London,
New York: Taylor and Francis Group.
Girmay, G., Singh, B. R., & Dick, Y. (2010). Land-use
changes and their impactson soil degradation and
surface runoff of two catchmentsof northern
Ethiopia. Acta Agriculturae Scandinavica, Section B –
Plant Soil Science, 60, 211–226.
Gong, J., Yang, J., & Tang, W. (2015). Spatially explicit
landscape-level ecological risks induced by land use
and land cover change in a national ecologically
representative region in China. International Journal
of Environmental Research and Public Health, 12,
14192–14215. doi:10.3390/ijerph121114192
Haslam, S. M. (2004). Understanding wetlands: Fen, bog,
and marsh. London and New york: CRC Press, Taylor
and Francic Group.
Hassan, A. A. M. (2013). Implementation of land-use-cover
change analysis into megacity management response
by using the DPSIR model. Geology Department,
Faculty of Science, Cairo University, Aachener
Geographische Arbeiten - 50 / 2013 S. 97 - 113.
Page 11 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Hatch, N., & Wells, L. (2012). Multilevel environmental
governance-the case of Ethiopian floriculture.
Environmental Policy Update 2012: Development
Strategies and Environmental Policy in East Africa.
Hengsdijk, H., & Jansen, H. (2006a). Agricultural development in the central Ethiopian rift valley: A desk-study
on water-related issues and knowledge to support
a policy dialogue. Plant Research International BV,
Wageningen, 22, 28–36.
Hengsdijk, H., & Jansen, H. (2006b). Ecosystems for water,
food and economic development in the Ethiopian
central rift valley (BO-10-006-22). Report of inception
mission to Ethiopia and Workplan.
Houghton, R. A., House, J. I., Pongratz, J., Van Der
Werf, G. R., DeFries, R. S., Hansen, M. C., …
Ramankutty, N. (2012). Carbon emissions from
land use and land-cover change. Biogeosciences,
9, 5125–5142. doi:10.5194/bg-9-5125-2012
IPCC. (2013). Climate change 2013: The physical science
basis. In T. F. Stocker, D. Qin, G. -K. Plattner, M. Tignor, S.
K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P. M.
Midgley (Eds.), Contribution of working group I to the
fifth assessment report of the intergovernmental panel
on climate change (p. 1535). Cambridge and New York,
NY: Cambridge University Press.
Jansen, H., Hengsdijk, H., Legesse, D., Ayenew, T.,
Petra, S., & Petra, H. (2007). Land and water
resources assessment in the Ethiopian central rift
valley project: Ecosystems for water, food and
economic development in the Ethiopian rift valley.
Alteraw Wageningen, The Netherlands. Retrieved
from http://www.alterra.wur.nl/
Kabba, V. T. S., & Li, J. (2011). Analysis of land use and
land cover changes, and their ecological implications
in Wuhan, China. Journal of Geography and Geology,
3, 104. doi:10.5539/jgg.v3n1p104
Kindu, M., Schneider, T., Teketay, D., & Knoke, T. (2015).
Drivers of land use/land cover changes in
Munessa-Shashemene landscape of the
south-central highlands of Ethiopia. Environmental
Monitoring and Assessment, 187, 452. doi:10.1007/
s10661-015-4671-7
Lambin, E. F., & Geist, H. J. (2008). Land-use and landcover change: Local processes and global impacts.
Springer Science & Business Media, Germany.
Lambin, E. F., Geist, H. J., & Lepers, E. (2003). Dynamics of
land-use and land-cover change in tropical regions.
Annual Review of Environment and Resources, 28,
205–241. doi:10.1146/annurev.
energy.28.050302.105459
Lambin, E. F., Rounsevell, M., & Geist, H. (2000). Are agricultural land-use models able to predict changes in
land-use intensity?. Agriculture, Ecosystems &
Environment, 82, 321–331. doi:10.1016/S01678809(00)00235-8
Lasanta, T., González-Hidalgo, J. C., Vicente-Serrano, S. M.,
& Sferi, E. (2006). Using landscape ecology to evaluate an alternative management scenario in abandoned Mediterranean mountain areas. Landscape
and Urban Planning, 78, 101–114. doi:10.1016/j.
landurbplan.2005.06.003
Legesse, D., & Ayenew, T. (2006). Effect of improper water
and land resource utilization on the central Main
Ethiopian Rift lakes. Quaternary International, 148,
8–18. doi:10.1016/j.quaint.2005.11.003
Lillesand, T., Kiefer, R. W., & Chipman, J. (2014). Remote
sensing and image interpretation (6th ed.). John
Wiley & Sons Inc., University of Widconsin-Madison.
Ma, M. E. A. (2005). Ecosystems and Human Well-being:
A Framework For Assessment. Washington: Island Press.
Meshesha, D. T., Tsunekawa, A., & Tsubo, M. (2012).
Continuing land degradation: Cause–Effect in
Ethiopia’s central rift valley. Land Degradation &
Development, 23, 130–143. doi:10.1002/ldr.1061
Meshesha, T. W., Tripathi, S., & Khare, D. (2016). Analyses
of land use and land cover change dynamics using
GIS and remote sensing during 1984 and 2015 in the
Beressa Watershed Northern Central Highland of
Ethiopia. Modeling Earth Systems and Environment, 2,
168. doi:10.1007/s40808-016-0233-4
Miheretu, B. A., & Assefa, A. Y. (2017). Determinants of
farmers’ adoption of land management practices in
Gelana sub-watershed of northern highlands of
Ethiopia. Ecological Processes, 6(19). doi:10.1186/
s13717-017-0085-5
Mitsch, W. J., & Gosselink, J. G. (2000). The value of wetlands: Importance of scale and landscape setting.
Ecological Economics, 35, 25–33. doi:10.1016/S09218009(00)00165-8
Moges, D. M., & Bhat, H. G. (2018). An insight into land use
and land cover changes and their impacts in Rib
watershed, north-western highland Ethiopia. Land
Degradation and Development, 29, 3317–3330.
doi:10.1002/ldr.3091
Molla, M. B. (2015). Land use/land cover dynamics in the
central rift valley region of Ethiopia: Case of Arsi
Negele District. African Journal of Agricultural
Research, 10, 434–449. doi:10.5897/AJAR2014.8728
Mondal, P. P., & Zhang, Y. (2018). Research progress on
changes in land use and land cover in the western
Himalayas (India) and effects on ecosystem services.
Sustainability, 10, 4504. doi:10.3390/su10124504
MoWR. (2010). Rift valley lakes basin integrated resources
development plan study project. Lake Hawassa SubBasin Integrated Watershed Management Feasibility
Study. Main Report, 1.
Muzein, B. S. (2006). Remote sensing & GIS for land cover/
land use change detection and analysis in the seminatural ecosystems and agriculture landscapes of the
Central Ethiopian Rift Valley, Doctral desertation,
Technische Universität Dresden Fakultät Forst- Geound Hydrowissenschaften Institut für
Photogrammetrie und Fernerkundung, Dresden,
Germany .
National Research Council, N. (2014). Advancing land
change modeling: Opportunities and research
requirements. Washington, DC: The National
Academies Press. ISBN 978-0-309-28833-0.
Olaka, L. A., Odada, E. O., Trauth, M. H., & Olago, D. O.
(2010). The sensitivity of East African rift lakes to
climate fluctuations. Journal of Paleolimnology, 44,
629–644. doi:10.1007/s10933-010-9442-4
Pandey, V. P., & Shrestha, S. (2016). Chapter 2 - DPSIR
framework for evaluating groundwater environment.
In S. Shrestha, V. P. Pandey, B. R. Shivakoti, &
S. Thatikonda (Eds.), Groundwater environment in
Asian cities: Concepts, Methods and Case Studies,
2016 (pp. 17–37). ButterworthHeinemann an imprint of Elsevire (UK and USA).
Retrieved from https://doi.org/10.1016/B978-0-12803166-7.00002-7
Peng, J., Xu, Y., Cai, Y., & Xiao, H. (2011). The role of
policies in land use/cover change since the 1970s in
ecologically fragile karst areas of Southwest China:
A case study on the Maotiaohe watershed.
Environmental Science & Policy, 14, 408–418.
doi:10.1016/j.envsci.2011.03.009
Phalan, B., Onial, M., Balmford, A., & Green, R. E. (2011).
Reconciling food production and biodiversity conservation: Land sharing and land sparing compared.
Page 12 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Science, 333, 1289–1291. doi:10.1126/
science.1208742
Pielke, R. A., Pitman, A., Niyogi, D., Mahmood, R.,
McAlpine, C., Hossain, F., … Fall, S. (2011). Land use/
land cover changes and climate: Modeling analysis
and observational evidence. Wiley Interdisciplinary
Reviews: Climate Change, 2, 828–850.
Raventós Vilalta, E. (2010). Water resources management
in the central rift valley in Ethiopia. Universitat
Politècnica de Catalunya, MSc Thesis in Civil
Engineering, Barcelona, Spain.
Rawat, J., & Kumar, M. (2015). Monitoring land use/cover
change using remote sensing and GIS techniques:
A case study of Hawalbagh block, district Almora,
Uttarakhand, India. The Egyptian Journal of Remote
Sensing and Space Science, 18, 77–84. doi:10.1016/j.
ejrs.2015.02.002
Ridgeley, R., Allnutt, T., Brooks, T., NcNicol, D.,
Mehlman, D., Young, B., & Zook, J. (2012). BirdLife
International. 2012. Digital Distribution Maps of the
Birds of the Western Hemisphere, Version,
5. Compiled by NatureServe, Arlington, Virginia, USA.
Retrieved from http://www.natureserve.org
Riebsame, W. E., Meyer, W. B., & Turner, B. (1994).
Modeling land use and cover as part of global environmental change. Climatic Change, 28, 45–64.
doi:10.1007/BF01094100
Rogan, J., & Chen, D. (2004). Remote sensing technology
for mapping and monitoring land-cover and land-use
change. Progress in Planning, 61, 301–325.
doi:10.1016/S0305-9006(03)00066-7
Seyoum, W. M., Milewski, A. M., & Durham, M. C. (2015).
Understanding the relative impacts of natural processes and human activities on the hydrology of the
central rift valley lakes, East Africa. Hydrological
Processes, 29, 4312–4324. doi:10.1002/hyp.10490
Tadesse, L., Suryabhagavan, K. V., Sridhar, G., &
Legesse, G. (2017). Land use and land cover changes
and Soil erosion in Yezat Watershed, North Western
Ethiopia. International Soil and Water Conservation
Research, 5, 85–94. doi:10.1016/j.iswcr.2017.05.004
Tefera, B., Ayele, G., Atnafe, Y., Jabbar, M. A., & Dubale, P.
(2002). Nature and causes of land degradation in the
Oromiya Region: A review. Socio-economics and
Policy Research Working Paper 36ILRI (International
Livestock Research Institute), Nairobi, Kenya, 82 pp.
Tefera, M. (2011). Wildlife in Ethiopia: Endemic large
mammals. World Journal of Zoology, 6, 108–116.
Teka, K., Van Rompaey, A., & Poesen, J. (2013). Assessing
the role of policies on land use change and agricultural development since 1960s in northern Ethiopia.
Land Use Policy, 30, 944–951. doi:10.1016/j.
landusepol.2012.07.005
Teklemariam, D., Lanckriet, S., Azadi, H., Asfaha, T. G.,
Haile, M., Witlox, F., & Nyssen, J. (2017a). Effects of
land deals on peak discharge and sediment transport
in the catchments around the Grand Ethiopian
Renaissance Dam. Land Degradation & Development,
28, 1852–1861. doi:10.1002/ldr.2654
Tolessa, T., Senbeta, F., & Kidane, M. (2017). The impact of
land use/land cover change on ecosystem services in
the central highlands of Ethiopia. Ecosystem Services,
23, 47–54. doi:10.1016/j.ecoser.2016.11.010
Vargas Amelin, E. (2016). Effects of climate change in
Mediterranean water resources and their economic
implications. Doctoral dissertation, UNED/Vrije
Universiteit Brussel, pp. 257.
Yohannes, H., Mohammed, A., & Elias, E. (2017). Land use/
land cover dynamics and its impact on biodiversity
resources in the Abijata Shalla National Park, central
rift valley Lakes Region, Ethiopia. Environmental
Science: An Indian Journal, 13, 152.
Zeray, L., Roehrig, J., & Chekol, D. A. (2006). Climate
change impact on Lake Ziway watershed water
availability, Ethiopia, Catchment and Lake research.
FWU Water Resources Publications, vol. 6, 18-23.
ISSN:1613-1045.
Appendices
Table A1. Details of satellite data used for this study
Sensor
Resolution
Path/row
Acquisition
(date)
Source
Landsat 5 TM imagery
30 m
168/54, 168/55
18/01/1986
http://earthexplore.usgs.gov
Landsat 5 TM imagery
30 m
168/54, 168/55
20/02/1996
http://earthexplore.usgs.gov
Landsat 8 OLI/TRIS
imagery
30 m
168/54, 168/55
23/12/2016
http://earthexplore.usgs.gov
Page 13 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Table A2. Description of LULC classes used to measure the changes in the periods 1985 to 2015
LULC Types
General Description
Water bodies
Area of land with temporary or permanent fragmented water bodies which
includes the lake, intermittent ponds, and other areas with shallow water.
Small scale farming
Areas of land prepared for growing rainfed crops. This category includes areas
currently under crop, fallow, and recently cleared land for cultivation.
Settlements
Urban and rural dwelling area
Open woodlands
Forest area mainly dominated by Acacia spp
Open grazing land
All areas covered with natural grass and small shrubs dominated by grass.
Mixed cultivated/Acacia
Area of land dominated by Acacia woodland used for mixed cultivation
Large scale farming
Area of land designated for the large-scale farming system.
Forests
Land areas dominantly covered by both natural and planted forests forming
a closed canopy, appears rough, clumped and thick in imageries and
photographs.
Degraded savannahs
Land surface with no vegetation cover, or with rocky land and quarry
Table A3. Accuracy assessment of classified images
LULC class
1985
1995
2015
Producers
accuracy
Users
accuracy
Producers
accuracy
Users
accuracy
Producers
accuracy
Users
accuracy
water bodies
90
93.8
92
93.9
96
94.1
Small scale farm
82
78.8
84
84.0
88
86.3
settlement
84
91.3
84
91.3
88
91.7
open woodlands
80
81.6
82
85.4
84
89.4
open grazing land
82
80.4
84
84.0
84
87.5
mixed cultivated
82
80.4
86
84.3
86
86.0
large scale farming
94
97.9
96
98.0
96
96.0
Forests
92
88.5
94
90.4
94
92.2
degraded savannah
86
81.1
90
81.8
90
83.3
Overall Accuracy (%)
84.46
86.86
88.86
Kappa coefficient
0.82
0.84
0.87
Page 14 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Table A4. Summaries of land use change area statistics for 1985 to 2015 reference years
LULC Classes
Area (ha) and % share
1985
%
1995
%
2015
%
Water bodies
124,166.07
9.77
120,240.18
9.75
109,797.28
8.64
Small scale farming
563,717.07
44.34
454,989.06
36.09
460,093.25
36.21
Settlement
31,590.36
2.49
38,484.36
3.32
53,967.58
4.25
152,023.32
11.96
83,346.03
6.85
123,843.13
9.75
Open grazing land
13,739.04
1.08
18,638.64
1.76
1181.23
0.09
Mixed cultivated/
acacia
278,245.98
21.89
376,002.90
29.87
406,799.75
32.01
Large scale farming
60,412.95
4.76
113,871.78
6.64
80,744.31
6.35
Forest
18,045.99
1.43
18,989.55
1.78
12,684.58
0.99
Degraded savannah
28,808.55
2.28
46,186.83
3.94
21,638.22
1.71
Open Woodland
Total
1,270,749.33
100
1,270,749.33
100
1,270,749.33
100
Table A5. LULC changes for the periods 1985–1995, 1995–2015 and 1985–2015
LULC Classes
Change detection (Ha) and % share
1985 to
1995
Water bodies
%
1995 to
2015
%
1985 to
2015
%
−3925.89
−3.16
−10,442.90
−8.69
−14,368.79
−11.57
−108,728.01
−19.29
5104.19
1.12
−103,623.82
−18.38
6894.00
21.82
15,483.22
40.23
22,377.22
70.84
−68,677.29
−45.18
40,497.10
48.59
−28,180.19
−18.54
4899.60
35.66
−17,457.41
−93.66
−12,557.81
−91.40
Mixed cultivated/
acacia
97,756.92
35.13
30,796.85
8.19
128,553.77
46.20
Large scale farming
53,458.83
88.49
−33,127.47
−29.09
20,331.36
33.65
943.56
5.23
−6304.97
−33.20
−5361.41
−29.71
17,378.28
60.32
−24,548.61
−53.15
−7170.33
−24.89
Small scale farming
Settlement
Open woodland
Open grazing land
Forest
Degraded savannah
Table A6. Annual change of LULC classes for the periods 1985–1995, 1995–2015 and
1985–2015
LULC Classes
Annual Rate of change (%)
1985 to 1995
1995 to 2015
1985 to 2015
Water bodies
−0.32
−0.43
−0.39
Small scale farming
−1.93
0.06
−0.61
2.18
2.01
2.36
Settlement
Open woodland
−4.52
2.43
−0.62
Open grazing land
3.57
−4.68
−3.05
Mixed cultivated/acacia
3.51
0.41
1.54
Large scale farming
8.85
−1.45
1.12
Forest
0.52
−1.66
−0.99
Degraded savannah
6.03
−2.66
−0.83
Page 15 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Table A7. Net and annual rate Changes in Area (km2) of the four lakes in the CRV for the
periods 1985, 1995 and 2015
Year
Area Change (ha)
Abjiata
Ziway
Langano
Shalla
2015
13,262
42,479
22,837
305
1995
15,387
42,540
23,184
301
1985
17,825
42,747
23,031
310
Change (2015–1985)
−4563
−268
−194
5
% share
−25.92
−0.61
−0.81
−0.02
The rate of Annual change (%)
2015–1995
−12.07
−0.47
−0.64
−0.2
1995–1985
−13.39
−0.14
−1.44
−0.9
Table A8. The prime concerns to discourse as remedial action platform of the CRV Lake
ecology
Problematization
Description
Freshwater shortage
As a result of modification of stream flow, pollution of
existing supplies, changes in the water table, the lakes
in CRV are facing the critical threat. Catchment areas
of these lakes are highly degraded and siltation of
Lakes has been increasing.
Pollution
Eutrophication, chemical, suspended solids, solid
wastes, etc. are the second serious concern to the
survival of the aquatic biodiversity in these lakes.
Apparently, the chemical industries in the shore of
Lake Abjiata and the floriculture farms around Lake
Ziway are a key concern.
Habitat and community modification
Loss of ecosystems, modification of ecosystems or
ecotones, including community structure and/or
species composition is another key factor that may
have to progress impact on the water resources. As
a result of LULC changes that have been taking place
in the area; much has been modified with a resultant
effect on the water resources.
Unsustainable exploitation of fisheries and other living
resources
Over-exploitation, excessive by-catch, and discards,
destructive fishing practices, have been witnessed in
Lake Ziway with a negative impact on the viability of
stock and the biological and genetic diversity. It is
likely that some species of fishes may have already
been exterminated.
Global change
Changes in the hydrological cycle, sea level change,
increased radiation Elnino-Lanina effect etc., will have
an impact on local ecosystems’ structure, function,
and resilience. The capacity to respond to these
unpredictable climate changes may be further
deteriorated as a result of unabated degradation and
poor management of the natural resource in the area.
Page 16 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Figure A1. Location of the Great
Ethiopian Rift Valley (Hatch &
Wells, 2012) and the study area
CRV.
Page 17 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Figure A2. Work flow of the
land use/cover mapping
Methodology.
Problem analysis and objective formulation
Data Acquisition
Landsat Images of TM (1985 & 1995) & OLI-TIRS (2015)
Literature, reconnaissance
survey and ancillary data
Image pre-processing
Processing: interpretation and classification
(supervised classification with MLC method)
Data Enhancement, processing & integration
(post processing/ accuracy assessment)
Output:
Production of LULCC Map
Change detection analysis based on the
LULC maps
Figure A3. (a-c). LULC maps of
the study area for the years
1985, 1995 and 2015,
respectively.
Page 18 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Figure A4. Map of the four lakes
in the CRV and change in surface area over the study periods (1985, 1995 and 2015).
Figure A5. The DPSIR conceptual framework modified from
(Hassan, 2013; Vargas Amelin,
2016).
Page 19 of 20
Elias et al., Cogent Food & Agriculture (2019), 5: 1595876
https://doi.org/10.1080/23311932.2019.1595876
Figure A6. Summary of DPSIR
framework analysis for land
use/cover changes in Ethiopia
CRV.
© 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
You are free to:
Share — copy and redistribute the material in any medium or format.
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions
You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Cogent Food & Agriculture (ISSN: 2331-1932) is published by Cogent OA, part of Taylor & Francis Group.
Publishing with Cogent OA ensures:
•
Immediate, universal access to your article on publication
•
High visibility and discoverability via the Cogent OA website as well as Taylor & Francis Online
•
Download and citation statistics for your article
•
Rapid online publication
•
Input from, and dialog with, expert editors and editorial boards
•
Retention of full copyright of your article
•
Guaranteed legacy preservation of your article
•
Discounts and waivers for authors in developing regions
Submit your manuscript to a Cogent OA journal at www.CogentOA.com
Page 20 of 20