Construction and Change Analysis of Water Ecosystem Service Flow Networks in the Xiangjiang River Basin (XRB)

Yaoting Gu, Xianlan Lao, Lilisha Zhuo, Xiaochang Li and Chuxiong Deng ()
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Yaoting Gu: College of Resource and Environment Sciences, Hunan Normal University, Changsha 410081, China
Xianlan Lao: College of Resource and Environment Sciences, Hunan Normal University, Changsha 410081, China
Lilisha Zhuo: College of Resource and Environment Sciences, Hunan Normal University, Changsha 410081, China
Xiaochang Li: College of Resource and Environment Sciences, Hunan Normal University, Changsha 410081, China
Chuxiong Deng: College of Resource and Environment Sciences, Hunan Normal University, Changsha 410081, China

Sustainability, 2024, vol. 16, issue 9, 1-18

Abstract: Clearing and successfully characterizing ecosystem service flow paths has become a key bottleneck restricting in-depth research on the supply and demand relationships of ecosystem services. At present, although some explorations have been performed using water ecosystem services as a pioneer, the nature of its network and the fact that ecological base flow needs to be eliminated have been ignored. This study used InVEST and network models to consider ecological base flow, quantifying the supply, demand, and flow paths of freshwater ecosystem services in the Xiangjiang River Basin. The results showed that the overall distribution of the water supply in the Xiangjiang River Basin from 2000 to 2020 shows a pattern of higher supply in the south and lower supply in the north. The distribution of water demand shows higher levels in the north and lower levels in the south. The network density remains at its maximum level. The results of this study have provided a scientific basis for water resource management in river basins and improving ecological compensation mechanisms.

Keywords: water yield service; ecosystem service flow; ecological base flow; network model; Xiangjiang River Basin (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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