气候变化领域集成服务门户(CCPortal): Quantifying human activity intensity in the Qinling-Daba Mountains

CCPortal

DOI	10.1002/pan3.10649
	Quantifying human activity intensity in the Qinling-Daba Mountains
	Xie, Wenqi; Yao, Yonghui
发表日期	2024
EISSN	2575-8314
英文摘要	1. Human activities profoundly impact the Earth system such as climate change, biodiversity, disease transmission. Accurately acquiring and assessing the human activity intensity (HAI) is crucial to exploring human-nature relationships. However, the mismatch of geospatial data products between humans and natural environmental factors is a data bottleneck that restricts the innovation and development of regional human-Earth systems. Nowadays, some HAI data products exist, such as the global human footprint map and the cumulative human modification map, but their spatial resolution is still too coarse (1 km) for regional research. Importantly, there are limitations to the method of mapping HAI: an incomplete indicator system that ignores the natural dimension makes the assessment of HAI less accurate and comprehensive; ignoring correlations among indicators, subjective weighting method and overlapping indicators lead to potential overestimation of HAI. 2. Here, a new approach to improve the quantification of HAI at the regional scale was presented and the HAI of the Qinling-Daba Mountains (QinBa) was mapped and analysed as a case study. First. an improved indicator system was constructed from two dimensions: natural environment and resources (including topography and river density), social and economics (including population density, degree of land modification, remoteness from roads/railways, remoteness from settlements and road density). The models for scoring the indicators were then improved. Additionally, principal component analysis was adopted to transform seven indicators into four independent principal components (PCs). The four PCs were combined based on their variance contribution to generate the HAI map, effectively eliminating redundancy and correlation among the indicators. 3. The results showed that the improved method solved the problem of overestimation in previous studies and objectively mapped the HAI of QinBa. We found that although QinBa's HAI was moderate (MHAI = 0.48), places with low HAI were isolated as 'islands' by places with high HAI, indicating that the scope of human activities in this area is extensive. 4. This study not only provides novel insights into quantifying HAI but also provides high-resolution HAI data (100 m) and priority attention zones for human-nature interaction studies in QinBa, which can help guide policy-making for management and conservation efforts.
英文关键词	human activity intensity; human footprint map; human-nature interactions; nature reserves; Qinling-Daba Mountains; transition zone
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Ecology
WOS记录号	WOS:001223594300001
来源期刊	PEOPLE AND NATURE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305228
作者单位	Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
推荐引用方式 GB/T 7714	Xie, Wenqi,Yao, Yonghui. Quantifying human activity intensity in the Qinling-Daba Mountains[J],2024.
APA	Xie, Wenqi,&Yao, Yonghui.(2024).Quantifying human activity intensity in the Qinling-Daba Mountains.PEOPLE AND NATURE.
MLA	Xie, Wenqi,et al."Quantifying human activity intensity in the Qinling-Daba Mountains".PEOPLE AND NATURE (2024).