The Impact of Drought on Vegetation at Basin Scale: A Case Study of the Wei River Basin, China

Droughts in the Weihe River Basin are occurring more frequently and are becoming more intense. These events negatively affect industrial production, economic development, and ecosystems. Studying how vegetation changes in response to them is of practical significance. We report temporal and spatial trends in vegetation cover, use a copula function to analyze relationships between drought and vegetation cover, and assess the probability of vegetation loss in different drought scenarios. A vegetation index trends upwards from north to south in this basin; from 2001 to 2017, vegetation cover also trends upward in most areas, although it decreases in areas with high vegetation cover. An escalated susceptibility to drought has been observed in the southern and eastern sectors, where proximity to the riverbank correlates with heightened drought sensitivity, particularly in zones of intensified vegetation density. The probability of vegetation loss at the same vegetation loss preset point gradually increases with increased drought severity. These results will facilitate the formulation of countermeasures to prevent and combat the effects of drought on vegetation and land management.

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Publication Details

Journal
Remote Sensing
Published
2024-10-28
DOI
https://doi.org/10.3390/rs16213997
Citations
2
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.57

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article

The Impact of Drought on Vegetation at Basin Scale: A Case Study of the Wei River Basin, China

Fang Wan, Qihui Chai, Bingbo Xie, Zhao Panpan et al.
2 citations
Remote Sensing
Hydrology and Drought Analysis
0.57
article

The Impact of Drought on Vegetation at Basin Scale: A Case Study of the Wei River Basin, China

Fang Wan, Qihui Chai, Bingbo Xie, Zhao Panpan, Huicai Yang, Xudong Huang, Hongyang Li
article en
2 citations

Abstract

Droughts in the Weihe River Basin are occurring more frequently and are becoming more intense. These events negatively affect industrial production, economic development, and ecosystems. Studying how vegetation changes in response to them is of practical significance. We report temporal and spatial trends in vegetation cover, use a copula function to analyze relationships between drought and vegetation cover, and assess the probability of vegetation loss in different drought scenarios. A vegetation index trends upwards from north to south in this basin; from 2001 to 2017, vegetation cover also trends upward in most areas, although it decreases in areas with high vegetation cover. An escalated susceptibility to drought has been observed in the southern and eastern sectors, where proximity to the riverbank correlates with heightened drought sensitivity, particularly in zones of intensified vegetation density. The probability of vegetation loss at the same vegetation loss preset point gradually increases with increased drought severity. These results will facilitate the formulation of countermeasures to prevent and combat the effects of drought on vegetation and land management.

Remote SensingVol. 16(21)
Tianjin Normal University (CN), North China University of Water Resources and Electric Power (CN), Nanjing Hydraulic Research Institute (CN), Yellow River Institute of Hydraulic Research (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 33%
Hydrology and Drought Analysis
0.57
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