2021
DOI: 10.3389/feart.2021.690000
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Identifying Land Degradation and its Driving Factors in the Aral Sea Basin From 1982 to 2015

Abstract: Land degradation is one of the critical ecological issue in the Aral Sea Basin (ASB). This study investigates land degradation in ASB during 1982–2015 using the Normalized Difference Vegetation Index (NDVI) as a proxy. The residual trend (RESTREND) for temperature, precipitation, soil moisture adjusted NDVI has been applied to identify the land degradation in ASB and quantify the contribution of climate factors such as temperature and rainfall. In addition, a binary logistic regression model is adopted to asse… Show more

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Cited by 16 publications
(4 citation statements)
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References 82 publications
(138 reference statements)
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“…This article uses soil moisture data from the Global Land Data Assimilation System (GLDAS, https://disc.gsfc.nasa.gov). Its resolution is 0.25x0.25 degrees, and layer depth is 0-10 cm [18].…”
Section: Datasetsmentioning
confidence: 99%
See 1 more Smart Citation
“…This article uses soil moisture data from the Global Land Data Assimilation System (GLDAS, https://disc.gsfc.nasa.gov). Its resolution is 0.25x0.25 degrees, and layer depth is 0-10 cm [18].…”
Section: Datasetsmentioning
confidence: 99%
“…Dependency and intensity of vegetation change in function of temperature and precipitation are significant and vary among different land cover types [13,17]. Previous studies show the only relationship between annual vegetation change and climate factors in the territory of the Aral Sea, but do not account for seasonal changes separately [1,6,[18][19][20]. It is essential to investigate current and retrospective changes in different vegetation types in relation to seasonal climatic changes and anthropogenic activities in the Aral Sea Basin.…”
Section: Introductionmentioning
confidence: 99%
“…There is an urgent need for an objective, measurable, repetitive, systematicand spatially and temporally explicit assessments of LD [30]. The long-term temporal and spatial reduction of vegetation productivity trend in drylands is regarded as an effective indicator of LD [31].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we present the complex and detailed analysis that we performed by combining temporal and spatial changes in key climate parameters (temperature (TMP), precipitation (PRE) and potential evapotranspiration (PET) in the entire ASB and its sub-regions (Low part of ASB, Mid part of ASB and Upper part of ASB). So far, such a combined approach has been adopted only by a few studies [15,[20][21][22][23][24][25], and these studies are not focused on the ASB. Seasonal changes in temperature and precipitation patterns are the key parameters that provide the general overview of past climatic changes as far as this study region (i.e.…”
Section: Introductionmentioning
confidence: 99%