Cargando…
Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods
Fishing spiders (Dolomedes spp.) make an interesting model to predict the impact of global changes because they are generalist, opportunistic predators, whose distribution is driven mostly by abiotic factors. Yet, the two European species are expected to react differently to forthcoming environmenta...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541512/ https://www.ncbi.nlm.nih.gov/pubmed/33028838 http://dx.doi.org/10.1038/s41598-020-73262-2 |
_version_ | 1783591409357422592 |
---|---|
author | Monsimet, Jérémy Devineau, Olivier Pétillon, Julien Lafage, Denis |
author_facet | Monsimet, Jérémy Devineau, Olivier Pétillon, Julien Lafage, Denis |
author_sort | Monsimet, Jérémy |
collection | PubMed |
description | Fishing spiders (Dolomedes spp.) make an interesting model to predict the impact of global changes because they are generalist, opportunistic predators, whose distribution is driven mostly by abiotic factors. Yet, the two European species are expected to react differently to forthcoming environmental changes, because of habitat specialization and initial range. We used an original combination of habitat and dispersal data to revisit these predictions under various climatic scenarios. We used the future range of suitable habitat, predicted with habitat variables only, as a base layer to further predict the range or reachable habitat by accounting for both dispersal ability and landscape connectivity. Our results confirm the northward shift in range and indicate that the area of co-occurrences should also increase. However, reachable habitat should expand less than suitable habitat, especially when accounting for landscape connectivity. In addition, the potential range expansion was further limited for the red-listed D. plantarius, which is more of a habitat specialist and has a lower ability to disperse. This study highlights the importance of looking beyond habitat variables to produce more accurate predictions for the future of arthropods populations. |
format | Online Article Text |
id | pubmed-7541512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75415122020-10-08 Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods Monsimet, Jérémy Devineau, Olivier Pétillon, Julien Lafage, Denis Sci Rep Article Fishing spiders (Dolomedes spp.) make an interesting model to predict the impact of global changes because they are generalist, opportunistic predators, whose distribution is driven mostly by abiotic factors. Yet, the two European species are expected to react differently to forthcoming environmental changes, because of habitat specialization and initial range. We used an original combination of habitat and dispersal data to revisit these predictions under various climatic scenarios. We used the future range of suitable habitat, predicted with habitat variables only, as a base layer to further predict the range or reachable habitat by accounting for both dispersal ability and landscape connectivity. Our results confirm the northward shift in range and indicate that the area of co-occurrences should also increase. However, reachable habitat should expand less than suitable habitat, especially when accounting for landscape connectivity. In addition, the potential range expansion was further limited for the red-listed D. plantarius, which is more of a habitat specialist and has a lower ability to disperse. This study highlights the importance of looking beyond habitat variables to produce more accurate predictions for the future of arthropods populations. Nature Publishing Group UK 2020-10-07 /pmc/articles/PMC7541512/ /pubmed/33028838 http://dx.doi.org/10.1038/s41598-020-73262-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Monsimet, Jérémy Devineau, Olivier Pétillon, Julien Lafage, Denis Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods |
title | Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods |
title_full | Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods |
title_fullStr | Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods |
title_full_unstemmed | Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods |
title_short | Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods |
title_sort | explicit integration of dispersal-related metrics improves predictions of sdm in predatory arthropods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541512/ https://www.ncbi.nlm.nih.gov/pubmed/33028838 http://dx.doi.org/10.1038/s41598-020-73262-2 |
work_keys_str_mv | AT monsimetjeremy explicitintegrationofdispersalrelatedmetricsimprovespredictionsofsdminpredatoryarthropods AT devineauolivier explicitintegrationofdispersalrelatedmetricsimprovespredictionsofsdminpredatoryarthropods AT petillonjulien explicitintegrationofdispersalrelatedmetricsimprovespredictionsofsdminpredatoryarthropods AT lafagedenis explicitintegrationofdispersalrelatedmetricsimprovespredictionsofsdminpredatoryarthropods |