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Scenario analysis of the relationship among ecosystem service values—A case study of Yinchuan Plain in northwestern China

Authors :
Chunyue Zhang
Yongping Bai
Xuedi Yang
Zuqiao Gao
Jianshe Liang
Zhijie Chen
Source :
Ecological Indicators, Vol 143, Iss , Pp 109320- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Clarifying the relationships among regional ecosystem service values is important for ecosystem service management. However, most current studies are based on historical periods or individual time points, and there is still a lack of research on the scenario analysis of the relationship of ecosystem service values. We chose the Yinchuan Plain in northwest China as the research object. Firstly, three development scenarios of natural development, ecological protection, and economic priority were designed. Based on the CA-Markov model, a multi-scenario simulation of land use in the Yinchuan Plain is carried out. The value equivalence factor method was then used to calculate the value of ecosystem services, and the Pearson correlation coefficient method was used to analyze the trade-offs and synergistic relationships between the values of different ecosystem services. Finally, K-Mean cluster analysis and stable metaphorical change trajectory method were used to identify ecosystem service bundle and their evolution trajectories. We found that the ecosystem service value of Yinchuan Plain shows an upward trend under the ecological protection scenario, and the rest of the scenarios and historical periods show a downward trend to varying degrees, and the ecosystem service value declines the most under the economic priority scenario. The dominant cluster is based on food production, and this service bundle is the main function throughout the year. Combining different landscape types, we synthesized the trade-offs and synergies between ecosystem service bundles and various ecosystem services values in different scenarios to formulate management strategies for future ecosystem services in different landscape partitions.

Details

Language :
English
ISSN :
1470160X
Volume :
143
Issue :
109320-
Database :
Directory of Open Access Journals
Journal :
Ecological Indicators
Publication Type :
Academic Journal
Accession number :
edsdoj.2d55b786984671a1bf436701edacd3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ecolind.2022.109320