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Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods.
Monsimet, Jérémy; Devineau, Olivier; Pétillon, Julien; Lafage, Denis.
Affiliation
  • Monsimet J; Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences, Campus Evenstad, Koppang, Norway. jeremy.monsimet@inn.no.
  • Devineau O; Department of Forestry and Wildlife Management, Inland Norway University of Applied Sciences, Campus Evenstad, Koppang, Norway.
  • Pétillon J; UMR CNRS 6553 ECOBIO, Université de Rennes, Rennes, France.
  • Lafage D; UMR CNRS 6553 ECOBIO, Université de Rennes, Rennes, France.
Sci Rep ; 10(1): 16668, 2020 10 07.
Article in En | MEDLINE | ID: mdl-33028838
ABSTRACT
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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Predatory Behavior / Spiders / Animal Distribution / Models, Theoretical Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Predatory Behavior / Spiders / Animal Distribution / Models, Theoretical Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Year: 2020 Type: Article