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Spatio-temporal variation in potential habitats for rare and endangered plants and habitat conservation based on the maximum entropy model

机译:基于最大熵模型的稀有和濒危植物和栖息地保护的潜在栖息地的时空变化

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摘要

Rare and endangered plants (REPs) act as key indicators for species habitat priorities, and can thus be critical in global biodiversity protection work. Human activities and climate change pose great threats to REPs, so protection should be a top priority. In this study, we used the maximum entropy model (Maxent) to identify current and future (2050) potential habitats of REPs in the Xishuangbanna tropical area of China. We compared potential habitats with existing protected areas (PAs) in gap analysis, and used a transfer matrix to quantify changes in potential habitats. By comparing the potential distribution obtained with existing land use and land cover, we analyzed the impact of human-dominated land use changes on potential habitats of REPs and identified the main habitat patch types of REPs. The results showed that the current potential habitat area of hotspots is 2989.85 km~2, which will be reduced to 247.93 km~2 by 2050, accounting for 15.60% and 1.29% of the total research area, respectively. Analysis of land use and land cover showed that rubber plantation was the human-dominated land use posing the greatest threat to potential habitats of REPs, occupying 23.40% and 21.62% of current and future potential habitats, respectively. Monsoon evergreen broad-leaved forest was identified as the main habitat patch type for REPs in Xishuangbanna and occupied the highest proportion of potential habitat area. Gap analysis showed that only 35.85% of habitat hotspots are currently included in existing PAs and that this will decrease to 32.26% by 2050. This emphasizes the importance of protecting current and future potential habitats of REPs in a dynamic conservation approach that can adapt to changes in future climate and human activities.
机译:罕见和濒危植物(REPS)作为物种栖息地优先事项的关键指标,因此在全球生物多样性保护工作中可能是至关重要的。人类活动和气候变化对代表构成了很大的威胁,因此保护应该是一个最优先事项。在这项研究中,我们使用了最大熵模型(MaxEnt)来识别中国西双版纳热带地区代表的当前和未来(2050)潜在栖息地。我们将潜在的栖息地与现有的受保护区(PAS)进行比较,并使用转移矩阵来量化潜在栖息地的变化。通过比较现有土地利用和陆地覆盖获得的潜在分布,我们分析了人占土地利用变化对代表潜在栖息地的影响,并确定了代表的主要栖息地补丁类型。结果表明,热点的当前潜在的栖息地面积为2989.85 km〜2,分别将减少到2050年的247.93 km〜2,分别占研究区域的15.60%和1.29%。土地利用和陆地覆盖的分析表明,橡胶种植园是人占土地,分别对潜在栖息地的潜在栖息地构成最大的威胁,分别占据了当前和未来潜在栖息地的23.40%和21.62%。季风常绿阔叶森林被确定为西双版纳州代表的主要栖息地曲线类型,占据了最高比例的潜在栖息地区域。差距分析表明,只有35.85%的栖息地热点目前包含在现有的PAS中,这将减少到2050年的32.26%。这强调了在可以适应变化的动态保护方法中保护Reps的当前和未来潜在栖息地的重要性在未来的气候和人类活动中。

著录项

  • 来源
    《Science of the total environment》 |2021年第25期|147080.1-147080.13|共13页
  • 作者单位

    Center for Integrative Conservation Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Mengla 666303 Yunnan China University of Chinese Academy of Sciences Beijing 100049 China;

    Center for Integrative Conservation Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Mengla 666303 Yunnan China University of Chinese Academy of Sciences Beijing 100049 China Center of Conservation Biology Core Botanical Gardens Chinese Academy of Sciences Mengla 666303 China;

    Environmental Science Center Qatar University P.O.Box: 2713 Doha Qatar;

    Center for Integrative Conservation Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Mengla 666303 Yunnan China University of Chinese Academy of Sciences Beijing 100049 China;

    Yuexi Federation of Trade Unions Yuexi 616650 Sichuan China;

    University of Chinese Academy of Sciences Beijing 100049 China CAS Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Kunming 650223 China;

    Faculty of Environmental Science and Engineering Kunming University of Science and Technology Kunming 650500 China;

    Center for Integrative Conservation Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Mengla 666303 Yunnan China University of Chinese Academy of Sciences Beijing 100049 China;

    Center for Integrative Conservation Xishuangbanna Tropical Botanical Garden Chinese Academy of Sciences Mengla 666303 Yunnan China University of Chinese Academy of Sciences Beijing 100049 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land use and land cover; Climate change; Rare and endangered plants; Maxent; Conservation; Xishuangbanna;

    机译:土地使用和陆地覆盖;气候变化;珍稀和濒危植物;maxent;保护;西双版纳;

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