2023
DOI: 10.1007/s10113-023-02084-5
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Changes in vegetation greenness related to climatic and non-climatic factors in the Sudano-Sahelian region

Abstract: The potential drivers of vegetation changes in the Sudano-Sahelian region of Africa remain poorly understood due to complex interactions between climatic and anthropogenic processes. In this study, we analyzed the vegetation greenness trends in relation to rainfall variability that we considered the essence of climatic effects on vegetation in a well-known water-limited environment by using time series of satellite data in the Sudano-Sahelian region during 2001–2020. We quantified in more detail the relative c… Show more

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Cited by 5 publications
(9 citation statements)
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“…The fractional abundance of each class within each 250 m pixel was then calculated using the GLC_FCS30D data, denoted as Crop, Forest, Grass, Shrub, Wetland, Water, Settlement, and Bare. In addition, the "no change" LULC types and paired LULC change types during 2001-2020 were identified based on the total change of each LULC fraction in each pixel, following our previous paper [16]. Here, if the total changes of fractions in all LULC classes in a 250 m pixel during 2001-2020 fell within a range of ±5% (to reduce classification error), then "no change" type in that pixel was defined, and the class with the maximum fraction was assigned as the main LULC class of that pixel; otherwise, a paired LULC change type was defined according to the maximum gain (maximum positive total change value) and the maximum loss (minimum negative total change value).…”
Section: Data Sources and Pre-processingmentioning
confidence: 99%
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“…The fractional abundance of each class within each 250 m pixel was then calculated using the GLC_FCS30D data, denoted as Crop, Forest, Grass, Shrub, Wetland, Water, Settlement, and Bare. In addition, the "no change" LULC types and paired LULC change types during 2001-2020 were identified based on the total change of each LULC fraction in each pixel, following our previous paper [16]. Here, if the total changes of fractions in all LULC classes in a 250 m pixel during 2001-2020 fell within a range of ±5% (to reduce classification error), then "no change" type in that pixel was defined, and the class with the maximum fraction was assigned as the main LULC class of that pixel; otherwise, a paired LULC change type was defined according to the maximum gain (maximum positive total change value) and the maximum loss (minimum negative total change value).…”
Section: Data Sources and Pre-processingmentioning
confidence: 99%
“…The topic of vegetation dynamics has been explored previously in the Sahel-Sudan region, but most studies focus on vegetation greenness changes at the sub-continental scale [9][10][11][12][13][14][15][16], lacking detailed analyses of the specific protected areas. Recent studies have highlighted significant land use/land cover changes and vegetation browning in the Sahel region of West Africa [14,17,18], strongly linked to human activities, resulting in extensive loss and fragmentation of protected areas and surrounding habitats [19,20].…”
Section: Introductionmentioning
confidence: 99%
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