Quantifying landscape pattern and ecosystem service value changes: A case study at the county level in the Chinese Loess Plateau
文献类型：期刊论文
| 作者 | Zhang, Jing6; Qu, Mei1; Wang, Cheng2; Zhao, Jun3; Cao, Yang4,5 |
| 刊名 | GLOBAL ECOLOGY AND CONSERVATION
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 23页码:14 |
| 关键词 | Land-use change Landscape metrics Multiple linear regression models Spatial-temporal evolution |
| ISSN号 | 2351-9894 |
| DOI | 10.1016/j.gecco.2020.e01110 |
| 通讯作者 | Cao, Yang(yang.cao@nwsuaf.edu.cn) |
| 英文摘要 | Implementation of ecological restoration projects in the Chinese Loess Plateau has improved the ecological environment significantly, and altered the structure of rural land use dramatically. Therefore, it is critical to characterize and quantify the changes in landscape patterns and ecosystem service value (ESV), especially at the county level, to provide sustainable land-use plans to local policymakers. This study mapped land use for 1985, 1995, 2005 and 2015 by using remote sensing imagery of Yongshou County, a typical hilly-gully region in Loess Plateau, and quantified the changes in landscape patterns by using spatial metrics. It employed the benefit transfer method to estimate changes in ESV. The results showed the following: (1) Grassland, forestland and cropland were the main land-use types, with the most increased area in forestland and grassland. (2) The landscape pattern was becoming more fragmented, and connectivity and accessibility decreased. (3) The total ESV increased by 3.5 million RMB, mainly because of increased ESV in grassland; meanwhile, synergies existed among regulation and support services, and trade-offs existed among supply services and regulation. (4) The changes in land-use types and landscape patterns had significant positive effects on the ESV. These results on ESV change with land-use support scientific decision-making services for the formulation of land-use planning and landscape structure adjustment plans at the county level to ensure sustainable management of ecosystems. (C) 2020 The Authors. Published by Elsevier B.V. |
| WOS关键词 | LAND-USE CHANGE ; ANSAI COUNTY ; COVER CHANGE ; TRADE-OFFS ; IMPACTS ; DESERTIFICATION ; IDENTIFICATION ; URBANIZATION ; RESTORATION ; PROVINCE |
| 资助项目 | National Key R&D Program of China[2017YFC0504605] ; National Key R&D Program of China[2016YFC0501703] ; CAS Light ofWest China Program[XAB2017A02] ; National Natural Science Foundation of China of China[41977418] ; National Natural Science Foundation of China of China[41201088] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000568734400016 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key R&D Program of China ; CAS Light ofWest China Program ; National Natural Science Foundation of China of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/156887]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cao, Yang |
| 作者单位 | 1.Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Shaanxi, Peoples R China 2.Northwest A&F Univ, Coll Resources & Environm, Yangling 712100, Shaanxi, Peoples R China 3.Chinese Acad Sci, State Key Lab Urban & Reg Ecol, Res Ctr Ecoenvironm Sci, Beijing, Peoples R China 4.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China 5.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China 6.Northwest A&F Univ, Coll Forestry, Yangling, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jing,Qu, Mei,Wang, Cheng,et al. Quantifying landscape pattern and ecosystem service value changes: A case study at the county level in the Chinese Loess Plateau[J]. GLOBAL ECOLOGY AND CONSERVATION,2020,23:14. |
| APA | Zhang, Jing,Qu, Mei,Wang, Cheng,Zhao, Jun,&Cao, Yang.(2020).Quantifying landscape pattern and ecosystem service value changes: A case study at the county level in the Chinese Loess Plateau.GLOBAL ECOLOGY AND CONSERVATION,23,14. |
| MLA | Zhang, Jing,et al."Quantifying landscape pattern and ecosystem service value changes: A case study at the county level in the Chinese Loess Plateau".GLOBAL ECOLOGY AND CONSERVATION 23(2020):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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