The normalized difference vegetation index (NDVI) is widely used to track vegetation cover and ecological change. However, in arid watersheds where irrigated farmland and natural vegetation coexist, it remains unclear how irrigation changes the relative effects of climate, terrain, and soil on vegetation growth. Using the Hetao irrigation district watershed in Inner Mongolia, this study analyzed NDVI dynamics and their environmental controls from 2001 to 2024 through trend analysis, spatial autocorrelation, XGBoost-SHAP, GeoDetector, and geographically weighted regression. NDVI increased significantly across the watershed at 0.0035 yr−1, but the increase was much stronger inside the irrigation district (mean NDVI = 0.58; slope = 0.0061 yr−1) than outside it (mean NDVI = 0.26; slope = 0.0015 yr−1). Global Moran’s I values remained above 0.86, showing persistent spatial clustering. The main drivers also differed by zone. DEM, SOC, and precipitation were most important for the whole watershed; SOC, TP, pH, and TN were more important inside the irrigation district; and precipitation and DEM were more important outside it. GeoDetector confirmed that paired drivers strengthened each other, including SOC ∩ DEM at the watershed scale and DEM ∩ TP outside the irrigation district. GWR further showed that rainfall effects were stronger outside the irrigation boundary, while soil-related effects were stronger in the irrigated agricultural belt. These results show that irrigation not only increases NDVI but also changes how vegetation responds to environmental conditions by weakening direct rainfall limitation and strengthening soil-related controls in managed landscapes. The findings provide evidence for zone-specific vegetation restoration and land-water management in dryland irrigation watersheds.
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Xiaolong Zhou
Inner Mongolia Agricultural University
Meng He
Inner Mongolia Agricultural University
Xin Tong
Inner Mongolia Agricultural University
Land
Texas A&M University
Inner Mongolia Agricultural University
Shanghai Institute of Geological Survey
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Zhou et al. (Thu,) studied this question.
synapsesocial.com/papers/6a168b040c924ddd1bd59c7a — DOI: https://doi.org/10.3390/land15050892
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