Exploring the regional differences of ecosystem health and its driving factors in China

被引:189
作者
He, Jianhua [1 ,2 ]
Pan, Zhenzhen [1 ]
Liu, Dianfeng [1 ,2 ]
Guo, Xiaona [3 ]
机构
[1] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, Sch Resource & Environm Sci, Minist Educ, Key Lab Geog Informat Syst, 129 Luoyu Rd, Wuhan, Hubei, Peoples R China
[3] East China Normal Univ, Sch Geog Sci, 500 Dongchuan Rd, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Ecosystem health; Regional differences; Driving factors; Ecosystem health zones; Geographical detector model; China; LAND-USE; SPATIAL HETEROGENEITY; INTEGRATED APPROACH; LANDSCAPE PATTERNS; RISK-ASSESSMENT; CLIMATE-CHANGE; LOESS PLATEAU; SERVICES; URBANIZATION; CITY;
D O I
10.1016/j.scitotenv.2019.03.465
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A better understanding of regional differences in ecosystem health and its driving factors is conducive to ecosystern management and restoration. Although various studies on ecosystem health have been carried out in different regions, few studies have been devoted to the insightful exploration of the spatial heterogeneity of ecosystem health and its driving forces at a national scale. In this study, we used an evaluation framework in terms of vigor, organization, resilience, and ecosystem service functions to assess the ecosystem health level in China from 2000 to 2015. Then, spatial agglomeration and regional differences in ecosystem health were examined using the spatial aulocorrelation method and K-means clustering analysis, and the factors driving the regional differences of ecosystem health were explored based on the geographical detector model Our results showed the following: (1) the ecosystem health level in China spatially increases from the northwest to the southeast, exhibiting significant global spatial autocorrelation and local spatial agglomeration; (2) eleven zones with three types were identified to indicate the regional differences of ecosystem health; (3) In terms of the driving factors, the moisture index and land use intensity contributed 24.5% and 20.7% to the variation in ecosystem health at the national scale. The ecosystem health changes were influenced by the interaction of meteorological and socio-economic factors in most regions with high ecosystem health types. Socio-economic factors act as a bridge that linked and reinforced the other factors in most regions with low and medium ecosystem health types. Ecologically protected factors were found to exert a remarkable impact in the southwestern region and the Loess Plateau region. Our findings can provide more effective and detailed decision-making support for ecosystem conservation and management in China. (C) 2019 Elsevier BM. All rights reserved.
引用
收藏
页码:553 / 564
页数:12
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