Lagged and Instantaneous Effects Between Vegetation and Surface Water Storage in the Yellow River Basin

Jian Teng, Jun Chang, Yongbo Zhai, Xiaomin Qin, Zuotang Yin, Liangjie Guo and Wei Liu ()
Additional contact information
Jian Teng: Collage of Geography and Environment, Shandong Normal University, Jinan 250358, China
Jun Chang: Collage of Geography and Environment, Shandong Normal University, Jinan 250358, China
Yongbo Zhai: Shandong Institute of Territorial and Spatial Planning, Jinan 250014, China
Xiaomin Qin: Shandong Institute of Territorial and Spatial Planning, Jinan 250014, China
Zuotang Yin: Collage of Geography and Environment, Shandong Normal University, Jinan 250358, China
Liangjie Guo: Collage of Geography and Environment, Shandong Normal University, Jinan 250358, China
Wei Liu: Collage of Geography and Environment, Shandong Normal University, Jinan 250358, China

Sustainability, 2025, vol. 17, issue 4, 1-18

Abstract: In recent years, large-scale afforestation in the Yellow River Basin (YRB) has attracted widespread attention due to its significant impact on surface water, playing a crucial role in the ecological sustainability and high-quality development of the basin. In this study, we used a combination of Theil–Sen and Mann–Kendall trend analysis to detect the spatiotemporal dynamic changes of NDVI, surface water storage (SWS), and its components in the YRB from 2001 to 2020, and explored the time lag and instantaneous effects between them using methods such as cross-correlation. The results show that from 2001 to 2020, NDVI and SWS in the YRB increased at rates of 0.41%/year and 1.95 mm/year, respectively, with fluctuations. Spatially, NDVI exhibited a significant upward trend in most areas of the YRB, while regions with significant increases in SWS, canopy surface water (CSW), snow water equivalent (SWE), and soil moisture (SM) were primarily located in the upper reaches. There was a time lag effect of about 2 months between NDVI and SWS in the YRB, and the time lags between SWE, SM, and NDVI were 5 months and 2 months, respectively. Except for CSW, the lag between NDVI and SWE was longer than that between NDVI and SWS or SM across all land cover types. Regarding the instantaneous effect, we found that the effect of vegetation on SWS in the upstream area is mainly the water storage function. In some areas of the middle and lower reaches, vegetation intensifies the consumption of SWS. Our study provides valuable insights into the response mechanism between vegetation restoration and SWS changes, facilitating better coordination between water resource management and ecological conservation in the YRB, thereby achieving sustainable regional economic and ecological development.

Keywords: surface water storage; time lag; instantaneous effects; trend analysis; Yellow River Basin (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/4/1709/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/4/1709/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:4:p:1709-:d:1594089

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().