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作 者:戴文昱 吴朝宁 李思青 任翌成 王结臣[1,2] DAI Wenyu;WU Zhaoning;LI Siqing;REN Yicheng;WANG Jiechen(Jiangsu Prorincial Key Laboratory of Geographic Information Science and Technology,Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources,School of Geography and Ocean Science,Nanjing Unirersity,Nanjing 210023,China;Jiangsu Center for Collaborative Innoration in Geographical Information Resoure Derelopment and Aplication,Nanjing 210023,China)
机构地区:[1]南京大学地理与海洋科学学院,自然资源部国土卫星遥感应用重点实验室,江苏省地理信息技术重点实验室,南京210023 [2]江苏省地理信息资源开发与利用协同创新中心,南京210023
出 处:《生态学报》2023年第21期9038-9047,共10页Acta Ecologica Sinica
基 金:国家自然科学基金项目(41871294)。
摘 要:优先保护区识别对受威胁物种的多样性保护具有重要价值。基于GIS空间分析、管理及预测能力,以中国受威胁陆栖哺乳动物为对象,建立受威胁物种的分布二值网格系统;利用Dobson算法对研究区3810个网格单元进行筛除,确定全国范围下受威胁物种的优先保护区域;结合中国主要的自然保护地分布数据(国家公园和自然保护区),采用保护空缺方法分析优先保护区内受威胁动物的保护现状。研究发现,29个50km×50km的网格单元就包含了全部的受威胁陆栖哺乳物种,其中位于喜马拉雅山东南区等地的10个网格区域覆盖有80%以上的物种,其所处的10组县级行政区内被主要自然保护地保护的土地面积占25.9%,物种数占83.6%,存在一定的保护空缺。本文采用Dobson排除算法,以小面积规则网格为基本单元,顾及到了实验结果的客观性,有助于提高优先保护区的识别效率。It is particularly important to study the biodiversity conservation of the threatened mammal species in China in the spatial dimension.Priority conservation area identification is of great value for the task.Based on the spatial analysis,management and prediction abilities of GIS,taking Chinese threatened terrestrial mammals as the research object,in this paper we established a binary grid system for the distribution of threatened terrestrial mammals in China;the 3810 grid cells of the study area were screened by Dobson algorithm in order to identify priority conservation areas for threatened mammal species nationwide;combined with the existing data on the distribution of major natural protected areas in China,including national parks and nature reserves,the conservation status of threatened species in priority conservation areas was assessed by a gap analysis.The results show that,2950 km×50 km grid cells contain all threatened terrestrial mammal species in China,of which the 10 grids located in areas such as the Southeast Himalayas cover more than 80%of the species.And the 10 groups of county-level administrative districts in which they are located have 25.9%of the land area protected and 83.6%of the number of threatened species protected,with certain conservation gaps.The paper uses Dobson exclusion algorithm,with a small area regular grid as the basic unit,taking into account the objectivity of the experimental results and helping to improve the efficiency of the identification of priority conservation areas.
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