Exploration of Spatiotemporal Covariation in Vegetation–Groundwater Relationships: A Case Study in an Endorheic Inland River Basin DOI Creative Commons
Zheng Lu, Dongxing Wu,

Shasha Meng

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 715 - 715

Опубликована: Март 27, 2025

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

Язык: Английский

Investigating the Water, Ecosystem, and Agriculture Nexus in Three Inland River Basins of the Arid Hexi Corridor, China, Using Integrated Hydrological Modeling DOI Creative Commons
Chen Yuan, Yong Tian

Hydrology, Год журнала: 2025, Номер 12(2), С. 27 - 27

Опубликована: Фев. 6, 2025

The Water–Ecosystem–Agriculture (WEA) relationship is pivotal to the sustainable development of arid and semi-arid areas. WEA nexus in these areas essential for making policies towards development. This study aims explore three large inland river basins (Heihe River Basin, Shiyang Shule Basin) Hexi Corridor, Northwest China, using an integrated hydrological modeling approach. model was calibrated validated against observed streamflow data, achieving Nash–Sutcliffe Efficiencies ranging from 0.83 0.94 validation period. major findings are as follows. First, altering amount irrigation water significantly affects ecological processes both midstream downstream areas, influencing nexus. For example, a 20% reduction demand led 0.46 billion m3/year recovery groundwater storage 4.3% increase ecosystem health, but resulted 5.4% decrease agricultural productivity. Second, intense trade-offs among productivity, sustainability were identified. These highly sensitive management strategies, particularly those affecting sustainability. Third, implementing stricter groundwater-level drawdown constraints improved health. Fourth, this highlighted unique characteristics each basins. provides insights into understanding complex nexus, quantitative results underscore synergies within providing foundation informed decision-making resource management.

Язык: Английский

Процитировано

1
Exploration of Spatiotemporal Covariation in Vegetation–Groundwater Relationships: A Case Study in an Endorheic Inland River Basin DOI Creative Commons
Zheng Lu, Dongxing Wu,

Shasha Meng

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 715 - 715

Опубликована: Март 27, 2025

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

Язык: Английский

Процитировано

0