Land use management based on multi-scenario allocation and trade-offs of ecosystem services in Wafangdian County, Liaoning Province, China
文献类型：期刊论文
| 作者 | Zhao, Wenzhen1; Han, Zenglin1,3; Yan, Xiaolu2,3; Zhong, Jingqiu3 |
| 刊名 | PEERJ
 |
| 出版日期 | 2019-09-16 |
| 卷号 | 7页码:24 |
| ISSN号 | 2167-8359 |
| 关键词 | Trade-off Ecosystem services Land use Ecological management |
| DOI | 10.7717/peerj.7673 |
| 通讯作者 | Yan, Xiaolu(xlyan@lnnu.edu.cn) |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| 出版者 | PEERJ INC |
| WOS记录号 | WOS:000485860400004 |
| 资助机构 | 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 |
| 源URL | [http://ir.imr.ac.cn/handle/321006/135355]  |
| 专题 | 金属研究所_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.Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China 3.Liaoning Normal Univ, Ctr Studies Marine Econ & Sustainable Dev, Dalian, 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. |
入库方式： OAI收割
来源：金属研究所
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