Scale effect and spatially explicit drivers of interactions between ecosystem services-A case study from the Loess Plateau
文献类型：期刊论文
| 作者 | Yang, Menghao1; Gao, Xiaodong1,2; Zhao, Xining1,2; Wu, Pute1,2 |
| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
 |
| 出版日期 | 2021-09-01 |
| 卷号 | 785页码:12 |
| 关键词 | Ecosystem services Trade-off and synergy Scale effect Spatial correlation Loess Plateau |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2021.147389 |
| 通讯作者 | Zhao, Xining(zxn@nwafu.edu.cn) ; Wu, Pute(gjzwpt@vip.sina.com) |
| 英文摘要 | Identifying the scale effect of relationships between ecosystem services (ESs), and determining which factors affect such relationships and the spatial distribution patterns of these effects can assist in the sustainable management of ESs. Taking the Loess Plateau (LP) as a study area, we compared and analyzed the change in the trade-offs and synergies between four ESs (i.e. water yield, net primary production, soil conservation, and grain production) at seven different scales. In addition, the spatial correlations between these trade-offs/synergies and factors related to climate, vegetation restoration and urbanization at the county administrative scale were analyzed using a geographically weighted regression (GWR) model. The results showed that most relationships between ESs were synergistic and robust across all seven scales, and most correlations between ESs are enhanced as the scale increases, as a result of the & ldquo;peak cutting and valley filling & rdquo; process of scale synthesis. In addition, almost all the relationships between ESs had the strongest synergies or the weakest trade-offs at the municipality administrative scale. The occurrence of trade-offs/synergies between ESs was closely related to climatic factors, vegetation restoration factors and urbanization factors, and, in addition, properties and intensity of the correlations varied spatially. Among these factors, vegetation cover (VEG), annual average temperature (TEM), and construction land percentage (CLP) were more highly correlated with the trade-offs/synergies. This study contributes to extending our understanding of the way in which interactions between ESs depend on spatial scale, and could inform decision-makers about how to control various influencing factors to improve the local ecology under local conditions. (c) 2021 Elsevier B.V. All rights reserved. |
| WOS关键词 | URBAN HEAT-ISLAND ; LAND-USE CHANGE ; METROPOLITAN-AREAS ; DRIVING FORCES ; TRADE-OFFS ; URBANIZATION ; CHINA ; PATTERNS ; REVEGETATION ; LANDSCAPES |
| 资助项目 | National Key Research and Development Program[2016YFC0400204] ; National Natural Science Foundation of China[41771316] ; Shaanxi Innovative Research Team for Key Science and Technology[2017KCT15] ; '111' Project[B12007] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000659456400002 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key Research and Development Program ; National Natural Science Foundation of China ; Shaanxi Innovative Research Team for Key Science and Technology ; '111' Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/164154]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Xining; Wu, Pute |
| 作者单位 | 1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 2.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Menghao,Gao, Xiaodong,Zhao, Xining,et al. Scale effect and spatially explicit drivers of interactions between ecosystem services-A case study from the Loess Plateau[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,785:12. |
| APA | Yang, Menghao,Gao, Xiaodong,Zhao, Xining,&Wu, Pute.(2021).Scale effect and spatially explicit drivers of interactions between ecosystem services-A case study from the Loess Plateau.SCIENCE OF THE TOTAL ENVIRONMENT,785,12. |
| MLA | Yang, Menghao,et al."Scale effect and spatially explicit drivers of interactions between ecosystem services-A case study from the Loess Plateau".SCIENCE OF THE TOTAL ENVIRONMENT 785(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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