Impact of landscape pattern changes on ecosystem service values in the Fenhe River Basin in China

作     者：Zhang, Huixia Wang, Ziyi Zhang, Na Li, Minmin Fan, Yong Yu, Hailong 

作者机构：Institute of Geographical Science Taiyuan Normal University Shanxi Yuci 030619 China Shanxi Key Laboratory of Earth Surface Processes and Resource Ecology Security in Fenhe River Valley Taiyuan Normal University Shanxi Yuci 030619 China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) & Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural Resources Shenzhen 518123 China School of Artifcial Intelligence Shenzhen Polytechnic University Shenzhen 518055 China College of Resources and Environmental Science Pingdingshan University Henan Pingdingshan 467000 China 

出 版 物：《Ecohydrology and Hydrobiology》 (Ecohydrol. Hydrobiol.)

年 卷 期：2024年

学科分类：0710[理学-生物学] 0908[农学-水产] 07[理学] 0707[理学-海洋科学] 09[农学] 

基　　金：Shenzhen Polytechnic Research Fund, (6023310002K) Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, (KF-2023-08-17) Guangdong Office of Philosophy and Social Science, GDPPLGOPSS, (GD24DWQGL03) Natural Science Foundation of Shanxi Province, (201901D111291) Post-doctoral Later-stage Foundation Project of Shenzhen Polytechnic, (6023271011K) Taiyuan Normal University, TYNU, (SYYJSYC-2238, SYYJSJG-2309) 

主　　题：Correlation analysis Ecosystem service value Influencing factors Landscape pattern Spatiotemporal change 

摘      要：The evolution of landscape patterns affects the supply of ecosystem services. It is important to explore the relationship between them to improve regional ecological stability and maintain ecological health. The Fenhe River is the second largest tributary of the Yellow River and it represents a fragile ecological environment. Our study aimed to analyze the impact of changes in landscape patterns on the value of ecosystem services (ESV) in the Fenhe River Basin (FRB). Land use data from 2000, 2010, and 2020 were used to extract landscape pattern indices. Methods such as ecosystem service value accounting, sensitivity analysis, correlation analysis, and geodetector modeling were employed to investigate changes in landscape patterns and ESV, and to identify the driving forces and impacts of these changes on ESV. The results showed that (1) from 2000 to 2020, the dominant landscape in the FRB was cultivated land, followed by forestland and grassland, which together covered 92% of the total area. (2) Over the past 20 years, the extent of landscape fragmentation had continued to increase and ecological function had deteriorated. (3) ESV had continued to decrease. The ESV provided by the regulating service function was the largest, accounting for over 49% of the total ESV. Support service function was second, accounting for over 34%. (4) The total ESV had a strong negative correlation with Shannon s diversity index (SHDI) and Shannon s evenness index(SHEI), a significant positive correlation with Contagion index (CONTAG). (5)The Human Activity Index (HAI) had a significant impact on changes in ESV, with an influence value of 0.6192, and its synergistic effect with NDVI further enhances this impact, achieving a synergy score of 0.71. Additionally, natural factors such as topography and climate also had significant effects on ESV *** study provides an evidence-based theoretical reference to guide the enhancement of the natural environment of the FRB and maintain hig