The Trade-Offs and Constraints of Watershed Ecosystem Services: A Case Study of the West Liao River Basin in China

Clarifying the spatiotemporal trade-offs between the supply and demand of ecosystem services is critical for regional ecological security and sustainable development. This paper focused on the West Liao River Basin, a crucial ecological barrier in Inner Mongolia, and quantified the supply and demand of ecosystem services by utilizing the InVEST model. A coupled coordination model is established to evaluate the supply–demand trade-offs, while a decoupling index model is used to analyze the dynamic changes in coordination. The influencing factors on the supply–demand relationship are also explored by using a geographically and temporally weighted regression (GTWR) model. The results from 2005 to 2020 indicated a decrease in carbon storage and an increase in carbon emissions. Water yield, food, and meat supply increased, while their demand decreased. Soil retention supply and demand both increased. Basin-scale coordination improved from low to moderate levels, with significant gains in both coordination and matching degrees. Decoupling indices fluctuated, with the central region showing a significantly higher decoupling index. The GTWR model showed that the spatial and temporal impacts of eight driving factors, including land use, on CD differed significantly, with precipitation having the most significant impact. The research results provided a theoretical basis for the future development of regional ecological restoration and sustainable development policies.

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Publication Details

Journal
Land
Published
2025-01-09
DOI
https://doi.org/10.3390/land14010119
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
2.21

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article

The Trade-Offs and Constraints of Watershed Ecosystem Services: A Case Study of the West Liao River Basin in China

Ran Lyu, Mingfang Tang, Gang Wu, Zheng Yin et al.
2 citations
Land
Land Use and Ecosystem Services
2.21
article

The Trade-Offs and Constraints of Watershed Ecosystem Services: A Case Study of the West Liao River Basin in China

Ran Lyu, Mingfang Tang, Gang Wu, Zheng Yin, Xiao Fu, Laiye Qu, Meng Yuan
article en
2 citations

Abstract

Clarifying the spatiotemporal trade-offs between the supply and demand of ecosystem services is critical for regional ecological security and sustainable development. This paper focused on the West Liao River Basin, a crucial ecological barrier in Inner Mongolia, and quantified the supply and demand of ecosystem services by utilizing the InVEST model. A coupled coordination model is established to evaluate the supply–demand trade-offs, while a decoupling index model is used to analyze the dynamic changes in coordination. The influencing factors on the supply–demand relationship are also explored by using a geographically and temporally weighted regression (GTWR) model. The results from 2005 to 2020 indicated a decrease in carbon storage and an increase in carbon emissions. Water yield, food, and meat supply increased, while their demand decreased. Soil retention supply and demand both increased. Basin-scale coordination improved from low to moderate levels, with significant gains in both coordination and matching degrees. Decoupling indices fluctuated, with the central region showing a significantly higher decoupling index. The GTWR model showed that the spatial and temporal impacts of eight driving factors, including land use, on CD differed significantly, with precipitation having the most significant impact. The research results provided a theoretical basis for the future development of regional ecological restoration and sustainable development policies.

LandVol. 14(1)
Chinese Academy of Sciences (CN), Research Center for Eco-Environmental Sciences (CN), University of Chinese Academy of Sciences (CN)
State Key Laboratory of Urban and Regional Ecology, National Key Research and Development Program of China
Life in Land, Responsible consumption and production
Openalex Percentile: Top 16%
Land Use and Ecosystem Services
2.21
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