干旱区生态环境知识资源中心(Arid): 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

Arid

DOI	10.1016/j.ecolind.2022.109210
	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
	Li, Jingxin; Zhang, Hongqi; Xu, Erqi
通讯作者	Xu, EQ
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2022
卷号	142
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.
英文关键词	Land use multifunctionality Production -living -ecology functions Spatialization Comprehensive assessment Data fusion Relationship analysis
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000864463300003
WOS关键词	ECOSYSTEM SERVICES ; LAND-USE ; ROCKY DESERTIFICATION ; DRIVING FORCES ; TRADE-OFFS ; URBANIZATION ; SCALE ; AREA ; MULTIFUNCTIONALITY ; EFFICIENCY
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392334
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],2022,142.
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.
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).