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Remotely sensed nighttime lights reveal increasing human activities in protected areas of China mainland

机译:遥感夜间灯光揭示了中国大陆保护区人类活动的增加

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摘要

Due to China's remarkable socioeconomic development, more and more protected areas have been affected by human activities which resulted in habitat loss and biodiversity decline. Timely and accurate quantification of human activity dynamics in protected areas will allow more informed and effective measures to be taken for biodiversity conservation. However, effective ways of quantifying human activities in protected areas are still lacking. In this letter, we employed the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) nighttime light data as an effective proxy for evaluating and monitoring spatiotemporal dynamics of human activities in protected areas of China mainland. The results show that China's protected areas have experienced a remarkable growth of nighttime lights from 1992 to 2012. Nighttime lights were mainly located in cultivated land and forest. Special attentions should be paid to Yangzie, where two critically endangered species were confirmed to be threatened by prosperous human activities. Our findings from nighttime lights can provide useful information about where prior attentions are required for policy-making on the conservation of protected areas.
机译:由于中国卓越的社会经济发展,越来越多的保护区受到人类活动的影响,导致栖息地丧失和生物多样性下降。及时,准确地量化保护区中人类活动的动态,将有助于采取更加明智和有效的措施来保护生物多样性。但是,仍然缺乏量化保护区人类活动的有效方法。在这封信中,我们采用了国防气象卫星计划的操作线扫描系统(DMSP-OLS)夜间光数据作为评估和监视中国大陆保护区人类活动的时空动态的有效代理。结果表明,从1992年到2012年,中国保护区的夜间照明灯显着增长。夜间照明灯主要位于耕地和森林中。应该特别注意扬子,那里有两个极度濒临灭绝的物种被证实受到繁荣的人类活动的威胁。我们从夜间照明灯中获得的发现可以提供有用的信息,说明在制定保护区保护政策时需要事先注意的地方。

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  • 来源
    《Remote sensing letters》 |2018年第6期|467-476|共10页
  • 作者单位

    Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China;

    Northwest Univ, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian, Shaanxi, Peoples R China;

    CSIRO Land & Water, Canberra, ACT, Australia;

    Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Hubei, Peoples R China;

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