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基于多源数据的广东省自然保护区人为干扰强度评价 被引量:3

Evaluation of human disturbance in nature reserves of Guangdong based on multi-source data
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摘要 人为干扰威胁自然保护区的珍稀及濒危野生动植物。测度人为干扰强度对自然保护区的保护工作意义重大。本文基于高分遥感影像识别2015和2019年广东省省级以上自然保护区人为干扰景观,构建人为干扰强度指数,定量评价保护区人为干扰景观的时空变化特征,并采用腾讯用户密度数据进行对比验证。结果表明:(1)广东省省级以上自然保护区人为干扰强度总体不大,空间分布不均,呈东北较强、西南较弱的分布态势;(2)研究期内广东省省级以上自然保护区人为干扰强度下降明显,下降幅度高达81.8%。地形和交通等区位条件较好区域,人为干扰强度相对较强,且基本农田和人口占比越高的自然保护区,强度越大;(3)人为干扰强度评价结果与腾讯用户密度值具有一致性,强度越大,用户密度值越高,且位于城区或进行旅游开发的保护区具有更高的活跃度。 Human activities threaten the rare and endangered wildlife in nature reserves.Satellite remote sensing technology has advantages of high accuracy and objectivity in monitoring human activities in nature reserves.Tencent is the largest messaging and social media platform in China,with broad coverage.Tencent user density(TUD)dataset is thus a useful proxy of dynamic population distribution with the advantages of real-time and efficient.In this study,we identified the artificially disturbed landscapes in the national and provincial nature reserves in Guangdong Province in 2015 and 2019 based on the high-resolution remote sensing images.We quantitatively evaluated the spatiotemporal variations of the artificially disturbed landscapes in the nature reserves using a disturbance intensity index.We further used TUD data for comparison and verification.The results showed that:(1)The intensity of human disturbance in the nature reserves was not high in general.The spatial distribution was uneven,with a high intensity in the northeast and a low intensity in the southwest.(2)From 2015 to 2019,the disturbance index of human decreased by 81.8%.The intensity of human disturbance was relatively strong in the areas with good geographical conditions in terrain and traffic.The higher the proportion of basic farmland and population density,the greater the intensity was.(3)The evaluation results of human disturbance intensity were consistent with the TUD data.The higher the human disturbance intensity,the higher the TUD was.Nature reserves in urban areas and with tourism development had higher TUD.
作者 王海云 匡耀求 文薪荐 林小波 何晔宇 陈泽锋 WANG Hai-yun;KUANG Yao-qiu;WEN Xin-jian;LIN Xiao-bo;HE Ye-yu;CHEN Ze-feng(Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;Institute of Land Resource Surveying and Mapping of Guangdong Province,Guangzhou 510500,China;Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China,Guangzhou 510500,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Environment,Jinan University,Guangzhou 511443,China;School of Geographical Sciences and Remote Sensing,Guangzhou University,Guangzhou 510006,China)
出处 《生态学杂志》 CAS CSCD 北大核心 2022年第10期2026-2034,共9页 Chinese Journal of Ecology
基金 广东省科技计划项目(2021B1212100003和2018B020207002) 广东省普通高校创新团队项目(2020KCXTD005)资助。
关键词 自然保护区 人为干扰强度 高分辨率影像 腾讯位置大数据 广东省 nature reserve human disturbance intensity high-resolution satellite image Tencent user density Guangdong
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