ORIGINAL RESEARCH
Exploring the Human-Land Nexus in China’s
Xin’an River Basin: Remote Sensing Analysis
of Ecosystem Services Variability and Synergy
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1
Social Innovation Design Research Centre, Anhui University, Hefei, 203106, China
2
Community Development Research Center, Anhui University, Hefei, 203106, China
3
Faculty of Arts and Social Sciences, Lancaster University, UK, Lancaster, UK
Submission date: 2024-04-11
Final revision date: 2024-05-28
Acceptance date: 2024-06-12
Online publication date: 2024-10-21
Corresponding author
Xin Su
Community Development Research Center, Anhui University, Hefei, 203106, China
Yanlong Guo
Social Innovation Design Research Centre, Anhui University, Hefei, 203106, China
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ABSTRACT
This study scrutinized the Xin’an River Basin from 2017 to 2022, employing refined methodologies
such as updated ecosystem service value tables, welfare assessment systems encompassing material,
health, and public well-being metrics, human-environment coupling models, and advanced remote
sensing technologies for land use patterns and satellite data analysis. Key findings revealed that:
(1) The valuation of ecosystem services exhibited periods of equilibrium followed by slight declines, with
a spatial distribution pattern described as ‘rising at the periphery, diminishing at the core’, culminating
in a modest overall depreciation. (2) Human settlement welfare demonstrated a distinct geographical
trend of ‘enhancement in the southeast, reduction in the northwest’, highlighting exceptional welfare
in Jiande City, Shexian, and Chun’an County. (3) Over the observation period, the dynamic interplay
between ecosystem services and human settlement welfare fluctuated, reaching its zenith in 2018 and
its nadir in 2020. This interaction displayed a spatial gradient of ‘excellent in the southeast, subpar
in the central regions, and favorable in the northwest’, indicating an overall moderate level of integration.
The results underscore a mutual adjustment and a clear convergence towards minimal functional discord
between the two systems.