Land use management based on multi-scenario allocation and trade-offs of ecosystem services in Wafangdian County, Liaoning Province, China

doi:10.7717/peerj.7673

IMR OpenIR

	Land use management based on multi-scenario allocation and trade-offs of ecosystem services in Wafangdian County, Liaoning Province, China
	Zhao, Wenzhen 1; Han, Zenglin 1,2; Yan, Xiaolu 2,3; Zhong, Jingqiu 2
通讯作者	Yan, Xiaolu(xlyan@lnnu.edu.cn)
	2019-09-16
发表期刊	PEERJ
ISSN	2167-8359
卷号	7 页码:24
摘要	Developing effective methods to coordinate the trade-offs among ecosystem services (ES) is important for achieving inclusive growth and sustainable development, and has been the focus of scholars and ecosystem managers globally. Using remote sensing and geographic information system (GIS) data, our study examined Wafangdian County of Liaoning Province as a case study to reveal the spatiotemporal evolution of four ES (food supply [FS], net primary productivity [NPP], water yield [WY], and soil conservation [SC]) and changes among their interactions. Then, an ordered weighted averaging model was introduced to simulate the optimal scenario of ES allocation. Results showed that: (1) the spatial and temporal changes in ES were significant over 14 years. All ES presented an inverted U-shaped growth curve from 2000-2014. (2) Synergies were observed within provisioning services, and there were trade-offs between provisioning services and regulating services, as well as provisioning services and supporting services. (3) The optimal scenario for Wafangdian was scenario 5 (trade-off coefficient, 0.68). The allocation of FS, NPP, WY, and SC in scenario 5 were 0.187, 0.427, 0.131, and 0.063, respectively. Implementing each ES weight of optimal scenario in land use management contributed to achieving intercoordination of ES. We propose to coordinate land and sea management to restore natural habitats that were expanded into in the high ES area. It is our anticipation that this study could provide a scientific basis for optimizing the allocation of ES and improving land use structure of coastal zones in the future.
关键词	Trade-off Ecosystem services Land use Ecological management
资助者	National Natural Science Foundation of China ; Natural Science Foundation Guidance Program of Liaoning Province ; Education Commission of Liaoning Province of China ; Social Science Federation 2019 Economic and Social Development of Liaoning Province ; Liaoning Planning Fund Project of Philosophy and Social Science ; PhD Research Startup Foundation of Liaoning Normal University
DOI	10.7717/peerj.7673
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[41571122] ; Natural Science Foundation Guidance Program of Liaoning Province[20180551194] ; Education Commission of Liaoning Province of China[H201783631] ; Education Commission of Liaoning Province of China[WQ2019020] ; Social Science Federation 2019 Economic and Social Development of Liaoning Province[2019lslktjd-014] ; Liaoning Planning Fund Project of Philosophy and Social Science[L17CJY003] ; PhD Research Startup Foundation of Liaoning Normal University[BS2018L007]
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000485860400004
出版者	PEERJ INC
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/135360
专题	中国科学院金属研究所
通讯作者	Yan, Xiaolu
作者单位	1.Liaoning Normal Univ, Urban & Environm Coll, Dalian, Liaoning, Peoples R China 2.Liaoning Normal Univ, Ctr Studies Marine Econ & Sustainable Dev, Dalian, Liaoning, Peoples R China 3.Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Wenzhen,Han, Zenglin,Yan, Xiaolu,et al. Land use management based on multi-scenario allocation and trade-offs of ecosystem services in Wafangdian County, Liaoning Province, China[J]. PEERJ,2019,7:24.
APA	Zhao, Wenzhen,Han, Zenglin,Yan, Xiaolu,&Zhong, Jingqiu.(2019).Land use management based on multi-scenario allocation and trade-offs of ecosystem services in Wafangdian County, Liaoning Province, China.PEERJ,7,24.
MLA	Zhao, Wenzhen,et al."Land use management based on multi-scenario allocation and trade-offs of ecosystem services in Wafangdian County, Liaoning Province, China".PEERJ 7(2019):24.