Exploration of Spatiotemporal Covariation in Vegetation–Groundwater Relationships: A Case Study in an Endorheic Inland River Basin

Zheng Lu, Dongxing Wu, Shasha Meng (), Xiaokang Kou () and Lipeng Jiao
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Zheng Lu: School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Dongxing Wu: School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China
Shasha Meng: School of Geography, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Xiaokang Kou: School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
Lipeng Jiao: School of Tourism, Henan Normal University, Xinxiang 453007, China

Land, 2025, vol. 14, issue 4, 1-29

Abstract: Groundwater plays a vital role in sustaining dryland ecosystems, yet our understanding of the spatiotemporal dynamics of groundwater–vegetation interactions in endorheic river basins remains limited. In this study, the covariation between the normalized difference vegetation index (NDVI) and water table depth (WTD) in the Heihe River Basin (HRB), a representative endorheic system, is investigated via multisource data and generalized additive models (GAMs). The results indicate that the NDVI peaks in summer (July), with a corresponding decline in the WTD, indicating a basin-wide negative correlation. Spatial analysis reveals distinct upstream–downstream gradients: upstream regions exhibit strong seasonal synchronization, whereas midstream and downstream areas show weaker correlations because of mixed surface and groundwater influences. Landcover and climate significantly affect these interactions, with arid zones showing the strongest negative correlations (ρ = −0.38), particularly in wetlands, whereas humid regions show nonsignificant relationships. Geomorphological analysis highlights stronger correlations in mountainous areas than in low-relief plains. Positive correlations are the most prevalent in arid regions (54.5%), followed by hyper-arid regions (28.9%), while negative correlations also dominate arid regions (54.6%), followed by semiarid regions (27.6%). Cross-correlation analysis reveals synchronous NDVI–WTD changes at 95% of the grid points, with 5% exhibiting time lags (1–3 months), indicating localized hydrogeological feedback. Notably, 32% of the zones with negative correlations overlap with groundwater-dependent ecosystems (GDEs). GAM analysis reveals that 87.9% of the spatial variability in the NDVI–WTD correlations is attributed to environmental factors, with climate (26.6%) and hydrogeology (19.5%) as the dominant contributors. These findings provide critical insights into groundwater–vegetation interactions in arid ecosystems and offer valuable implications for sustainable water resource management.

Keywords: groundwater–vegetation interactions; endorheic basin; spatiotemporal dynamics; normalized difference vegetation index (NDVI); water table depth (WTD); arid ecosystems; generalized additive models (GAMs) (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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