The power of spectrally enhanced artificial night-time lights data: Assessing NTL risks along the urban-natural interface

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Nataliya Rybnikova , Dani Broitman
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引用次数: 0

Abstract

Artificial night-time lights (NTL) have long been known for their adverse effects on humans and the environment. Recent studies report that the severity of NTL impact on organisms is associated not only with its intensity but also a spectrum. The spectral resolution of freely available satellite NTL data is restricted to red, green, and blue sub-spectra, which are significantly wider than the ranges of vulnerability, reported by laboratory studies for various species. The present study is the first attempt to overlap spectrum-specific NTL data, describing the intensities of light emitted by different lamp types with relatively narrow emission peaks, with the sites where species vulnerable to specific NTL sub-spectra were detected. We overlap those light intensity maps with increasingly detailed maps of natural areas located along the urban-natural interface of the Haifa region. We analyze light pollution in the ecological corridors, which host numerous species with different, but unknown, spectrum-specific effects of NTL (a coarse-level analysis), and in the sites of several species, with either known or unknown spectrum-specific effects of NTL (a fine-level analysis). We show that a considerable part of the ecological corridors is polluted by metal halide and high-pressure sodium lamps which may negatively influence plants, bees, sea turtles, birds, and mammals. One habitat site of the Near Eastern fire salamander (Salamandra infraimmaculata) is polluted by lamps with green-light emission peaks which may explain the low reproductive success of this population. Despite the study limitations, related to the region-specific NTL data of spectrum-specific resolution and scarcity of evidence about the spectrum-specific NTL harmful effects on organisms, we believe that the obtained results would contribute to the elaboration of more informed fine-tuned artificial lighting policies which would diminish the burden of urban built-up zones on their neighboring natural areas.

光谱增强型人工夜间照明数据的威力:评估城市-自然交界处的非杀伤人员地雷风险
人造夜光(NTL)对人类和环境的不利影响早已众所周知。最近的研究报告指出,NTL 对生物影响的严重程度不仅与其强度有关,还与光谱有关。免费提供的卫星非淋菌物质数据的光谱分辨率仅限于红色、绿色和蓝色子光谱,大大超出了实验室研究报告的不同物种的易受影响范围。本研究首次尝试将特定光谱的 NTL 数据与检测到易受特定 NTL 子光谱影响的物种的地点重叠起来,这些数据描述了不同类型的灯发出的光的强度,其发射峰值相对较窄。我们将这些光强图与海法地区城市与自然交界处的自然区域日益详细的地图重叠在一起。我们分析了生态走廊中的光污染情况(粗略分析)和若干物种所在地的光污染情况(精细分析),前者承载着众多物种,这些物种受到不同但未知的非近地轨道特定光谱的影响(粗略分析),后者则受到已知或未知的非近地轨道特定光谱的影响(精细分析)。我们的研究表明,生态走廊的很大一部分受到金属卤化物灯和高压钠灯的污染,这可能会对植物、蜜蜂、海龟、鸟类和哺乳动物产生负面影响。近东火螈(Salamandra infraimmaculata)的一个栖息地受到绿光排放峰值灯管的污染,这可能是该种群繁殖成功率低的原因。尽管研究存在局限性,即特定区域的非卤素灯光谱分辨率数据以及有关特定光谱非卤素灯对生物有害影响的证据稀缺,但我们相信所获得的结果将有助于制定更明智的微调人工照明政策,从而减轻城市建成区对其周边自然区域造成的负担。
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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