Quantifying the Temporal and Spatial Patterns of Ecosystem Services and Exploring the Spatial Differentiation of Driving Factors: a Case Study of Sichuan Basin, China
文献类型：期刊论文
| 作者 | Hu, Chunguang2,3; Wang, Ziyi4; Li, Jiaming5; Liu, Huan1; Sun, Dongqi5 |
| 刊名 | FRONTIERS IN ENVIRONMENTAL SCIENCE
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| 出版日期 | 2022-07-14 |
| 卷号 | 10页码:14 |
| 关键词 | ecosystem services PCA-MGWR model driving factors spatial heterogeneity Sichuan Basin |
| DOI | 10.3389/fenvs.2022.927818 |
| 通讯作者 | Li, Jiaming(lijm@igsnrr.ac.cn) ; Liu, Huan(huan.liu.b05@kyoto-u.jp) |
| 英文摘要 | Exploring the factors that drive the change of ecosystem services (ES) is very important for maintaining ES function and zoning ecological management, especially in the Sichuan Basin area with high spatial heterogeneity such as natural and socio-economic characteristics. Taking the Sichuan Basin in China as an example, the PCA-MGWR model was constructed to explore the temporal and spatial patterns of ES in the Sichuan Basin from 2000 to 2015. The potential driving factors including anthropogenic factors, geomorphological factors, climate factors, and vegetation factors would be analyzed by principal component analysis (PCA). To illustrate the impact of spatial dependence in the data, the multi-scale geographically weighted regression (MGWR) technology was selected to explore the spatial differentiation of the impact of these four dimensions on ES to reflect the local differences of ecosystem service driving mechanisms in more detail. The results showed that 1) from the perspective of time series evolution, carbon storage (CS) and soil conservation (SC) in ES in the Sichuan Basin showed an upward trend, while water yield (WY) showed a downward trend; from the perspective of spatial patterns, except the main urban areas of Chengdu and Chongqing, the CS service level of other regions was high; The spatial distribution characteristics of SC services were "low in the middle and high in the periphery"; the high value area of WY service was located in Northeast Sichuan. 2) Among natural factors, elevation (DEM), slope (SLO), NDVI, annual average temperature (TEM), and annual average precipitation (PRE) had a higher contribution rate to ES, while among socio-economic factors, GDP density (GDP), night light (LIG), and population density (POP) had a higher contribution rate to ES, while other factors had a lower contribution rate. 3) Combined with the PCA-MGWR model, we analyzed the comprehensive response and spatial differentiation of driving factors to ES in the Sichuan Basin and explained in detail the influence of anthropogenic factors, geomorphological factors, climatic factors, and vegetation factors and their spatial heterogeneity in ES. It is expected that the spatial differences in the impact degree of different indicators can be considered when formulating the countermeasures of ES in the Sichuan Basin, to provide theoretical support for the implementation of regional ecological management and control. |
| WOS关键词 | GEOGRAPHICALLY WEIGHTED REGRESSION ; LOESS PLATEAU ; DEMAND ; QUANTIFICATION ; MISMATCHES |
| 资助项目 | Natural Science Foundation of China[41971162] ; Second Scientific Investigation of the Tibetan Plateau[2019QZKK0406] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000885899200001 |
| 出版者 | FRONTIERS MEDIA SA |
| 资助机构 | Natural Science Foundation of China ; Second Scientific Investigation of the Tibetan Plateau |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187030]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Jiaming; Liu, Huan |
| 作者单位 | 1.Kyoto Univ, Disaster Prevent Res Inst, Kyoto, Japan 2.Huazhong Univ Sci & Technol, Sch Architecture & Urban Planning, Wuhan, Peoples R China 3.Hubei Engn & Technol Res Ctr Urbanizat, Wuhan, Peoples R China 4.Nanjing Univ, Sch Architecture & Urban Planning, Nanjing, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Chunguang,Wang, Ziyi,Li, Jiaming,et al. Quantifying the Temporal and Spatial Patterns of Ecosystem Services and Exploring the Spatial Differentiation of Driving Factors: a Case Study of Sichuan Basin, China[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2022,10:14. |
| APA | Hu, Chunguang,Wang, Ziyi,Li, Jiaming,Liu, Huan,&Sun, Dongqi.(2022).Quantifying the Temporal and Spatial Patterns of Ecosystem Services and Exploring the Spatial Differentiation of Driving Factors: a Case Study of Sichuan Basin, China.FRONTIERS IN ENVIRONMENTAL SCIENCE,10,14. |
| MLA | Hu, Chunguang,et al."Quantifying the Temporal and Spatial Patterns of Ecosystem Services and Exploring the Spatial Differentiation of Driving Factors: a Case Study of Sichuan Basin, China".FRONTIERS IN ENVIRONMENTAL SCIENCE 10(2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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