Modified InVEST model for spatiotemporal variations of water conservation and its driving factors in the southwestern alpine Canyon region of China from 1990 to 2020

Accurately quantifying water conservation and its drivers is essential for maintaining ecosystem stability and protecting water resources. Vegetation plays a pivotal role by modulating water retention, infiltration, and evapotranspiration. However, previous assessments using the InVEST model have overlooked vegetation dynamics. To address this gap, this study employed a modified InVEST model incorporating vegetation changes to assess the spatiotemporal variation in water conservation and influencing factors in the Southwestern Alpine Canyon Region (SACR) of China from 1990 to 2020. Owing to the unique topographic heterogeneity of the SACR, particular attention was given to the elevation dependence of water conservation. Results indicated that: (1) Precipitation declined, while temperature, evapotranspiration, and vegetation cover increased over the past three decades. (2) Water conservation shifted from a non-significant decline in the original model (−1.37 mm/a, p = 0.071) to a non-significant increase in the modified model (1.06 mm/a, p = 0.067). After 2000, the original model indicated continued decline, while the modified model showed a slight upward trend. (3) Spatially, the original model detected significant decreases across 36.91 % of the region, mainly in central and southwestern SACR. In contrast, the modified model showed positive trends in 64.87 %, with 30.33 % exhibiting statistically significant increases, primarily in the east. (4) Annual precipitation (q = 0.80), elevation (q = 0.58), and vegetation cover (q = 0.53) were the dominant drivers affecting the spatial patterns of water conservation capacity. This study enhances the InVEST model by incorporating vegetation dynamics, offering scientific insights for ecological restoration and water resource management in high-altitude regions. • NDVI-coupled InVEST model enhances vegetation function in water conservation assessment. • Water conservation capacity in SACR increased by 11.40 % over the past 30 years. • Vegetation restoration has improved water conservation capacity. • Primary drivers of spatial water conservation: Precipitation, elevation and NDVI.

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Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-11-15
DOI
https://doi.org/10.1016/j.indic.2025.101034
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Modified InVEST model for spatiotemporal variations of water conservation and its driving factors in the southwestern alpine Canyon region of China from 1990 to 2020

Zhongbao Xin, Meng Cao
Environmental and Sustainability Indicators
Remote Sensing in Agriculture
article

Modified InVEST model for spatiotemporal variations of water conservation and its driving factors in the southwestern alpine Canyon region of China from 1990 to 2020

Zhongbao Xin, Meng Cao
article en

Abstract

Accurately quantifying water conservation and its drivers is essential for maintaining ecosystem stability and protecting water resources. Vegetation plays a pivotal role by modulating water retention, infiltration, and evapotranspiration. However, previous assessments using the InVEST model have overlooked vegetation dynamics. To address this gap, this study employed a modified InVEST model incorporating vegetation changes to assess the spatiotemporal variation in water conservation and influencing factors in the Southwestern Alpine Canyon Region (SACR) of China from 1990 to 2020. Owing to the unique topographic heterogeneity of the SACR, particular attention was given to the elevation dependence of water conservation. Results indicated that: (1) Precipitation declined, while temperature, evapotranspiration, and vegetation cover increased over the past three decades. (2) Water conservation shifted from a non-significant decline in the original model (−1.37 mm/a, p = 0.071) to a non-significant increase in the modified model (1.06 mm/a, p = 0.067). After 2000, the original model indicated continued decline, while the modified model showed a slight upward trend. (3) Spatially, the original model detected significant decreases across 36.91 % of the region, mainly in central and southwestern SACR. In contrast, the modified model showed positive trends in 64.87 %, with 30.33 % exhibiting statistically significant increases, primarily in the east. (4) Annual precipitation (q = 0.80), elevation (q = 0.58), and vegetation cover (q = 0.53) were the dominant drivers affecting the spatial patterns of water conservation capacity. This study enhances the InVEST model by incorporating vegetation dynamics, offering scientific insights for ecological restoration and water resource management in high-altitude regions. • NDVI-coupled InVEST model enhances vegetation function in water conservation assessment. • Water conservation capacity in SACR increased by 11.40 % over the past 30 years. • Vegetation restoration has improved water conservation capacity. • Primary drivers of spatial water conservation: Precipitation, elevation and NDVI.

Environmental and Sustainability IndicatorsVol. 28
Beijing Forestry University (CN)
Openalex Percentile: Top 65%
Remote Sensing in Agriculture
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