Spatial differentiation of ecosystem service value in an arid region: A case study of the Tarim River Basin, Xinjiang

被引:26
作者
Kulaixi, Zulipiya [1 ,2 ]
Chen, Yaning [2 ]
Wang, Chuan [2 ,3 ]
Xia, Qianqian [1 ,2 ]
机构
[1] Xinjiang Univ, Coll Geog & Remote Sensing Sci, Urumqi 830046, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 10049, Peoples R China
关键词
Ecosystem service value; Spatiotemporal variation; Geographical detector model; Tarim River Basin; USE/LAND-COVER CHANGE; LAND-USE; CHINA; MANAGEMENT; DYNAMICS;
D O I
10.1016/j.ecolind.2023.110249
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Ecosystem service value (ESV) in arid regions is subject to multiple factors, and the main factors affecting ESV may vary in different regions. However, there are fewer studies concerned with the spatial heterogeneity of the factors influencing ESV in arid regions. In this study, we selected five typical sub-basins of the Tarim River Basin (TRB), including the Kashghar (KRB), the Weigan (WRB), the Dinah (DRB), the Keriya (KRRB), and the Qarqan (QRB) river basins, as research objects to investigate the ESV. Firstly, we estimated the ESV by utilizing the LULC data sets and benefits transfer methods. Next, we conducted a systematic analysis of the spatial variations of ESV. Finally, we analyzed the driving factors of spatial variation of ESV using a geographical detector model. Our results show that: (1) During 1990-2018, various land use types underwent complex dynamic transformations, including the conversion of grassland and water bodies into cropland and unused land. (2) Over the 29-year study period, the five studied TRB sub-basins show a decreasing trend in total ESV during 1990-2018, with the largest reduction observed in KRRB (-230.64 x 107 USD), followed by WRB (-105.43 x 107 USD), and the smallest in QRB (-10.31 x 107 USD). Moreover, environment depuration (ED), climate regulation (CR), hydro-logical regulation (HR), and soil conservation (SC) were the key components of high service value in the study area. (3) The spatial distribution of ESV demonstrated strong positive spatial autocorrelation, with high and low values clustering on a spatial scale. Our analysis of driving forces revealed that spatial differentiation is the result of a synergistic effect of natural factors such as elevation, temperature, and precipitation, as well as anthropo-genic and socioeconomic factors. Based on the results obtained, our study serves as a crucial foundation for implementing necessary measures aimed at achieving ecological security and promoting sustainable develop-ment in the TRB area.
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页数:15
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