Night lights from space: potential of SDGSAT‐1 for ecological applications

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY
Dominique Weber, Janine Bolliger, Klaus Ecker, Claude Fischer, Christian Ginzler, Martin M. Gossner, Laurent Huber, Martin K. Obrist, Florian Zellweger, Noam Levin
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Abstract

Light pollution affects biodiversity at all levels, from genes to ecosystems, and improved monitoring and research is needed to better assess its various ecological impacts. Here, we review the current contribution of night‐time satellites to ecological applications and elaborate on the potential value of the Glimmer sensor onboard the Chinese Sustainable Development Goals Science Satellite 1 (SDGSAT‐1), a novel medium‐resolution and multispectral sensor, for quantifying artificial light at night (ALAN). Due to their coarse spatial, spectral or temporal resolution, most of the currently used space‐borne sensors are limited in their contribution to assessments of light pollution at multiple scales and of the ecological and conservation‐relevant effects of ALAN. SDGSAT‐1 now offers new opportunities to map the variability in light intensity and spectra at finer spatial resolution, providing the means to disentangle and characterize different sources of ALAN, and to relate ALAN to local environmental parameters, in situ measurements and surveys. Monitoring direct light emissions at 10–40 m spatial resolution enables scientists to better understand the origins and impacts of light pollution on sensitive species and ecosystems, and assists practitioners in implementing local conservation measures. We demonstrate some key ecological applications of SDGSAT‐1, such as quantifying the exposure of protected areas to light pollution, assessing wildlife corridors and dark refuges in urban areas, and modelling the visibility of light sources to animals. We conclude that SDGSAT‐1, and possibly similar future satellite missions, will significantly advance ecological light pollution research to better understand the environmental impacts of light pollution and to devise strategies to mitigate them.
太空夜灯:SDGSAT - 1在生态应用中的潜力
光污染影响从基因到生态系统的各个层面的生物多样性,需要改进监测和研究,以更好地评估其各种生态影响。本文综述了目前夜间卫星对生态应用的贡献,并详细介绍了中国可持续发展目标科学卫星1号(SDGSAT - 1)上搭载的微光传感器的潜在价值。微光传感器是一种新型的中分辨率和多光谱传感器,用于量化夜间人造光(ALAN)。由于空间、光谱或时间分辨率较差,目前使用的大多数空间传感器在评估多尺度光污染以及ALAN的生态和保护相关影响方面的贡献有限。SDGSAT - 1现在提供了新的机会,以更精细的空间分辨率绘制光强度和光谱的变化,提供了解开和表征不同ALAN来源的方法,并将ALAN与当地环境参数、原位测量和调查联系起来。在10-40米的空间分辨率下监测直接光发射,使科学家能够更好地了解光污染对敏感物种和生态系统的起源和影响,并帮助从业者实施当地的保护措施。我们展示了SDGSAT‐1的一些关键生态应用,例如量化保护区的光污染暴露,评估城市地区的野生动物走廊和黑暗避难所,以及模拟光源对动物的可见度。我们的结论是,SDGSAT - 1以及未来可能类似的卫星任务将显著推进生态光污染研究,以更好地了解光污染对环境的影响,并制定减轻这些影响的策略。
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来源期刊
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
9.80
自引率
5.50%
发文量
69
审稿时长
18 weeks
期刊介绍: emote Sensing in Ecology and Conservation provides a forum for rapid, peer-reviewed publication of novel, multidisciplinary research at the interface between remote sensing science and ecology and conservation. The journal prioritizes findings that advance the scientific basis of ecology and conservation, promoting the development of remote-sensing based methods relevant to the management of land use and biological systems at all levels, from populations and species to ecosystems and biomes. The journal defines remote sensing in its broadest sense, including data acquisition by hand-held and fixed ground-based sensors, such as camera traps and acoustic recorders, and sensors on airplanes and satellites. The intended journal’s audience includes ecologists, conservation scientists, policy makers, managers of terrestrial and aquatic systems, remote sensing scientists, and students. Remote Sensing in Ecology and Conservation is a fully open access journal from Wiley and the Zoological Society of London. Remote sensing has enormous potential as to provide information on the state of, and pressures on, biological diversity and ecosystem services, at multiple spatial and temporal scales. This new publication provides a forum for multidisciplinary research in remote sensing science, ecological research and conservation science.
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