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How artificial light at night may rewire ecological networks: concepts and models
Artificial light at night (ALAN) is eroding natural light cycles and thereby changing species distributions and activity patterns. Yet little is known about how ecological interaction networks respond to this global change driver. Here, we assess the scientific basis of the current understanding of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613535/ https://www.ncbi.nlm.nih.gov/pubmed/37899020 http://dx.doi.org/10.1098/rstb.2022.0368 |
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author | Sanders, Dirk Hirt, Myriam R. Brose, Ulrich Evans, Darren M. Gaston, Kevin J. Gauzens, Benoit Ryser, Remo |
author_facet | Sanders, Dirk Hirt, Myriam R. Brose, Ulrich Evans, Darren M. Gaston, Kevin J. Gauzens, Benoit Ryser, Remo |
author_sort | Sanders, Dirk |
collection | PubMed |
description | Artificial light at night (ALAN) is eroding natural light cycles and thereby changing species distributions and activity patterns. Yet little is known about how ecological interaction networks respond to this global change driver. Here, we assess the scientific basis of the current understanding of community-wide ALAN impacts. Based on current knowledge, we conceptualize and review four major pathways by which ALAN may affect ecological interaction networks by (i) impacting primary production, (ii) acting as an environmental filter affecting species survival, (iii) driving the movement and distribution of species, and (iv) changing functional roles and niches by affecting activity patterns. Using an allometric–trophic network model, we then test how a shift in temporal activity patterns for diurnal, nocturnal and crepuscular species impacts food web stability. The results indicate that diel niche shifts can severely impact community persistence by altering the temporal overlap between species, which leads to changes in interaction strengths and rewiring of networks. ALAN can thereby lead to biodiversity loss through the homogenization of temporal niches. This integrative framework aims to advance a predictive understanding of community-level and ecological-network consequences of ALAN and their cascading effects on ecosystem functioning. This article is part of the theme issue ‘Light pollution in complex ecological systems’. |
format | Online Article Text |
id | pubmed-10613535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106135352023-10-30 How artificial light at night may rewire ecological networks: concepts and models Sanders, Dirk Hirt, Myriam R. Brose, Ulrich Evans, Darren M. Gaston, Kevin J. Gauzens, Benoit Ryser, Remo Philos Trans R Soc Lond B Biol Sci Articles Artificial light at night (ALAN) is eroding natural light cycles and thereby changing species distributions and activity patterns. Yet little is known about how ecological interaction networks respond to this global change driver. Here, we assess the scientific basis of the current understanding of community-wide ALAN impacts. Based on current knowledge, we conceptualize and review four major pathways by which ALAN may affect ecological interaction networks by (i) impacting primary production, (ii) acting as an environmental filter affecting species survival, (iii) driving the movement and distribution of species, and (iv) changing functional roles and niches by affecting activity patterns. Using an allometric–trophic network model, we then test how a shift in temporal activity patterns for diurnal, nocturnal and crepuscular species impacts food web stability. The results indicate that diel niche shifts can severely impact community persistence by altering the temporal overlap between species, which leads to changes in interaction strengths and rewiring of networks. ALAN can thereby lead to biodiversity loss through the homogenization of temporal niches. This integrative framework aims to advance a predictive understanding of community-level and ecological-network consequences of ALAN and their cascading effects on ecosystem functioning. This article is part of the theme issue ‘Light pollution in complex ecological systems’. The Royal Society 2023-12-18 2023-10-30 /pmc/articles/PMC10613535/ /pubmed/37899020 http://dx.doi.org/10.1098/rstb.2022.0368 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Sanders, Dirk Hirt, Myriam R. Brose, Ulrich Evans, Darren M. Gaston, Kevin J. Gauzens, Benoit Ryser, Remo How artificial light at night may rewire ecological networks: concepts and models |
title | How artificial light at night may rewire ecological networks: concepts and models |
title_full | How artificial light at night may rewire ecological networks: concepts and models |
title_fullStr | How artificial light at night may rewire ecological networks: concepts and models |
title_full_unstemmed | How artificial light at night may rewire ecological networks: concepts and models |
title_short | How artificial light at night may rewire ecological networks: concepts and models |
title_sort | how artificial light at night may rewire ecological networks: concepts and models |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613535/ https://www.ncbi.nlm.nih.gov/pubmed/37899020 http://dx.doi.org/10.1098/rstb.2022.0368 |
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