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      Does artificial light at night alter moth community composition?

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          Abstract

          Ecological studies investigating the effects of artificial light at night (ALAN) have primarily focused on single or a few species, and seldom on community-level dynamics. As ALAN is a potential cause of insect and biodiversity declines, community-level perspectives are essential. We empirically tested the hypothesis that moth species differentially respond to ALAN and that these responses can cause shifts in community composition. We sampled moths from prairie fragments in Colorado, USA. We tested whether local light sources, sky glow, site area and/or vegetation affected moth community diversity. We found that increased sky glow decreased moth abundance and species richness and shifted community composition. Increased sky glow shifted moth community composition when light and bait traps were combined; notably this result appears to be driven entirely by moths sampled at bait traps, which is an unbiased sampling technique. Our results show that ALAN has significant effects on moth communities and that local light sources have contrasting effects on moth community composition compared to sky glow. It is imperative that we better understand the contrasting effects of types of ALAN to comprehend the overall impacts of light pollution on biodiversity declines.

          This article is part of the theme issue ‘Light pollution in complex ecological systems’.

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          Most cited references102

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          Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

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            Non-parametric multivariate analyses of changes in community structure

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              Is Open Access

              More than 75 percent decline over 27 years in total flying insect biomass in protected areas

              Global declines in insects have sparked wide interest among scientists, politicians, and the general public. Loss of insect diversity and abundance is expected to provoke cascading effects on food webs and to jeopardize ecosystem services. Our understanding of the extent and underlying causes of this decline is based on the abundance of single species or taxonomic groups only, rather than changes in insect biomass which is more relevant for ecological functioning. Here, we used a standardized protocol to measure total insect biomass using Malaise traps, deployed over 27 years in 63 nature protection areas in Germany (96 unique location-year combinations) to infer on the status and trend of local entomofauna. Our analysis estimates a seasonal decline of 76%, and mid-summer decline of 82% in flying insect biomass over the 27 years of study. We show that this decline is apparent regardless of habitat type, while changes in weather, land use, and habitat characteristics cannot explain this overall decline. This yet unrecognized loss of insect biomass must be taken into account in evaluating declines in abundance of species depending on insects as a food source, and ecosystem functioning in the European landscape.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Philosophical Transactions of the Royal Society B: Biological Sciences
                Phil. Trans. R. Soc. B
                The Royal Society
                0962-8436
                1471-2970
                December 18 2023
                October 30 2023
                December 18 2023
                : 378
                : 1892
                Affiliations
                [1 ]Department of Biological Sciences, University of Denver, Denver, CO, 80210, USA
                [2 ]University of Colorado Museum of Natural History, University of Colorado Boulder, Boulder, CO, 80309, USA
                [3 ]BioInteractive Department, Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
                [4 ]Department of Biology, Georgetown University, Washington, DC, 20057, USA
                Article
                10.1098/rstb.2022.0365
                96573a51-0f81-4117-8107-4118b509e19c
                © 2023

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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