Replication Data for: Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

• Main Author: Monsimet, Jérémy
• Other Authors: Monsimet, Jeremy, Devineau, Olivier, Pétillon, Julien, Lafage, Denis
• Format: Other/Unknown Material
• Language: English
• Published: DataverseNO 2020
• Subjects: Earth and Environmental Sciences; Fishing spiders; Climate change; Dispersal limitation; Pisauridae; Hybrid SDM; Fennoscandia
• Online Access: https://doi.org/10.18710/TYPJXU

This dataset includes presences of both fishing spiders in Fennoscandia and the R scripts to prepare and run the species distribution models (SDMs). The different predictions are also available, together with an HTML file with interactive maps of the suitable/reachable habitat predictions. 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 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.