文献类型：期刊文献

英文题名：Effects of the interaction among climate, terrain and human activities on biodiversity on the Qinghai-Tibet Plateau

作者：Sun, Yongxiu[1] Liu, Shiliang[1] Liu, Yixuan[1] Dong, Yuhong[2] Li, Mingqi[1] An, Yi[1] Shi, Fangning[1] Beazley, Robert[3]

第一作者：Sun, Yongxiu

通信作者：Liu, SL[1]

机构：[1]Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat State Forestry A, Beijing 100091, Peoples R China;[3]Cornell Univ, Dept Nat Resources, Coll Agr & Life Sci, Fernow Hall 302, Ithaca, NY 14853 USA

年份：2021

卷号：794

外文期刊名：SCIENCE OF THE TOTAL ENVIRONMENT

收录：;EI(收录号：20212710578529);Scopus(收录号：2-s2.0-85108879348);WOS:【SCI-EXPANDED(收录号:WOS:000691673500009)】；

基金：The work was supported by the Second Scientific Expedition to the Qinghai-Tibet Plateau (No. 2019QZKK0405-05) , National Key Research and Development Program (No. 2016YFC0502103) and National Natural Science Foundation of China (No. 41571173) .

语种：英文

外文关键词：Terrain; Climate; Human activities; Structural equation model; Biodiversity; Qinghai-Tibet  Plateau

摘要：Disentangling the driving factors of biodiversity is critical for understanding biogeographical patterns of vegetation and ecosystem function. However, the biotic and abiotic attributes that shape biodiversity on the Qinghai-Tibet Plateau (QTP) are still not been quantified. Previous studies have not distinguished the direct and indirect effects of climate, terrain, and human disturbance on biodiversity. In this study, we applied a structural equation model (SEM) to assess the interactions among 4 attributes and biodiversity. A conceptual framework with 8 explanatory variables was built to identify the driving forces of biodiversity. A geographically weighted regression (GWR) model was applied to explore the response sensitivity of biodiversity to climate, terrain, and human attributes. We found that the SEM passed the tests of validity, reliability and fit, indicating that the hypothetical model was reasonable and credible. Among terrain conditions, elevation had the greatest, most-negative effect on biodiversity. Among the human factors, distance to town showed the strongest and most negative influence on biodiversity. Among the climate factors, precipitation had the greatest influence on biodiversity. Moreover, the direct effects of terrain and human activity were 0.348 and 0.135, respectively, and their indirect effects were 0.769 and 0.213, respectively, revealing that they had stronger indirect effects on biodiversity than direct effects. Climate exhibited only direct effects on biodiversity and had no indirect effects. The total effects of climate, terrain and human activity on biodiversity were 1.39, 0.35 and 0.13, respectively, indicating that climate was the main driving force of biodiversity on the QTP. The response sensitivity of biodiversity to climate, terrain and human factors showed obvious spatial variations. This study contributes to exploring the interactive effects and driving mechanisms of human-natural attributes on biodiversity and provides further effective guidance and support for biodiversity conservation and restoration. (c) 2021 Elsevier B.V. All rights reserved.