Quantifying production-living-ecology functions with spatial detail using big data fusion and mining approaches: A case study of a typical karst region in Southwest China
文献类型：期刊论文
| 作者 | Li, Jingxin1,2; Zhang, Hongqi1; Xu, Erqi1 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2022-09-01 |
| 卷号 | 142页码:13 |
| ISSN号 | 1470-160X |
| 关键词 | Land use multifunctionality Production -living -ecology functions Spatialization Comprehensive assessment Data fusion Relationship analysis |
| DOI | 10.1016/j.ecolind.2022.109210 |
| 通讯作者 | Xu, Erqi(xueq@igsnrr.ac.cn) |
| 英文摘要 | Demands for increasing production and living functions often threaten ecological functions. Reliable quantifi-cation of land use multifunctionality (LUMF) contributes to identify and coordinate these conflicts. However, the comprehensive LUMF indicator system and fine spatial resolutions restricted each other. Previous assessments were limited to coarse grids or administrative units, thus failing to provide detailed spatial information and causing scale biases, particularly in landscapes with strong heterogeneity. Combining big data mining and fusion techniques, this study built a comprehensive and quantitative evaluation scheme of production-living-ecology (PLE) land functions with spatial detail. The scheme was applied in the karst region of southwestern China as a case study. Data on socioeconomic status, remote sensing, and location points were fused using a variable -boundary spatialized approach to quantify human activity extent and degree of convenience. Specific environ-mental characteristics, such as topography and karst rocky desertification, were integrated into the spatialized PLE functions. The results showed that the global distribution of the production and living functions presented some similarity, yet the high production and living functions were not completely aligned. Also, the spatial patterns of the living and production functions usually showed opposite formations to the ecology function. Unlike the global relationship, the enlarged PLE relationships in the study regions validated the importance and necessity of fine spatial information. Local relationships between the production-living and production-ecology functions were significantly different in areas with various economic development levels, particularly in built-up areas. Regions with strong synergistic relationships of PLE functions were rare and were usually found in sightseeing areas of ecology and agriculture. These results demonstrated the effectiveness of our proposed method of spatializing PLE functions with spatial detail. The findings provide detailed spatial information on local anthropogenic and physical differences and support for balancing PLE functions and policy-making about land use optimization in practice. |
| WOS关键词 | ECOSYSTEM SERVICES ; LAND-USE ; ROCKY DESERTIFICATION ; DRIVING FORCES ; TRADE-OFFS ; URBANIZATION ; SCALE ; AREA ; MULTIFUNCTIONALITY ; EFFICIENCY |
| 资助项目 | Second Tibetan Plateau Scientific Expe- dition and Research Program (STEP)[2019QZKK0603] ; Chinese Academy of Sciences[XDA19040305] ; National Natural Science Foundation of China[41601095] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2021052] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000864463300003 |
| 资助机构 | Second Tibetan Plateau Scientific Expe- dition and Research Program (STEP) ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185577]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Erqi |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Jingxin,Zhang, Hongqi,Xu, Erqi. Quantifying production-living-ecology functions with spatial detail using big data fusion and mining approaches: A case study of a typical karst region in Southwest China[J]. ECOLOGICAL INDICATORS,2022,142:13. |
| APA | Li, Jingxin,Zhang, Hongqi,&Xu, Erqi.(2022).Quantifying production-living-ecology functions with spatial detail using big data fusion and mining approaches: A case study of a typical karst region in Southwest China.ECOLOGICAL INDICATORS,142,13. |
| MLA | Li, Jingxin,et al."Quantifying production-living-ecology functions with spatial detail using big data fusion and mining approaches: A case study of a typical karst region in Southwest China".ECOLOGICAL INDICATORS 142(2022):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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