Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data with Possible Application for Explaining the State of the Ecosystem
Xiong Junnan1,2; Li Wei1; Zhang Hao1,3,4; Cheng Weiming2,4,5; Ye Chongchong1; Zhao Yunliang1
刊名SUSTAINABILITY
2019
卷号11期号:17页码:4781
关键词ecosystem health spatial evolution PSR model Hu Line Southwest China
DOI10.3390/su11174781
通讯作者Zhang, Hao(zhanghao@imde.ac.cn)
产权排序2
文献子类Article
英文摘要Regional ecosystem health is the basis for regular regional exploration, ecological protection, and sustainable development. This study explored ecosystem health at the southern end of the Hu Line (Sichuan and Yunnan provinces) using the pressure-state-response model and examined the spatial evolution of ecosystem health. The proportion of unhealthy and morbid cities decreased from 45.9% in 2000 to 35.1% in 2016. The imbalance of ecosystem health among cities has gradually increased since 2006, but more high-quality cities have emerged (Z of Moran's Index < 1.96, p > 0.05). Overall, the regional ecosystem on the southeast side of the Hu Line was healthier than that on the northwest side. Differences in ecosystem health on both sides of the Hu Line showed decreasing trends over time except for the pressure score. The spatial pattern of ecosystem health moved along the Hu Line because the pressure and state scores of ecosystems were mainly determined by the natural environmental conditions. Based on the county-level assessment, the grade of imbalance within cities was divided, and those that were lagging were identified. To correct regional imbalances, a comprehensive and proactive policy framework for a smart development model was put forward in Sichuan and Yunnan.
电子版国际标准刊号2071-1050
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20030302] ; Science and Technology Project of Xizang Autonomous Region[XZ201901-GA-07] ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian[NDMBD2018003] ; Southwest Petroleum University of Science and Technology Innovation Team Projects[2017CXTD09] ; National Flash Flood Investigation and Evaluation Project[SHZH-IWHR-57]
WOS关键词HEALTH-ASSESSMENT ; LAND-USE ; SECURITY ASSESSMENT ; FRAMEWORK ; EMERGY ; RISK ; INDICATORS ; SYSTEM ; CHINA
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:000486877700269
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Science and Technology Project of Xizang Autonomous Region ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian ; Southwest Petroleum University of Science and Technology Innovation Team Projects ; National Flash Flood Investigation and Evaluation Project
内容类型期刊论文
源URL[http://ir.imde.ac.cn/handle/131551/31303]  
专题中国科学院水利部成都山地灾害与环境研究所
通讯作者Zhang Hao
作者单位1.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Sichuan, Peoples R China;
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Xiong Junnan,Li Wei,Zhang Hao,et al. Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data with Possible Application for Explaining the State of the Ecosystem[J]. SUSTAINABILITY,2019,11(17):4781.
APA Xiong Junnan,Li Wei,Zhang Hao,Cheng Weiming,Ye Chongchong,&Zhao Yunliang.(2019).Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data with Possible Application for Explaining the State of the Ecosystem.SUSTAINABILITY,11(17),4781.
MLA Xiong Junnan,et al."Selected Environmental Assessment Model and Spatial Analysis Method to Explain Correlations in Environmental and Socio-Economic Data with Possible Application for Explaining the State of the Ecosystem".SUSTAINABILITY 11.17(2019):4781.
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