4.5 Article

Not only climate: The importance of biotic interactions in shaping species distributions at macro scales

Journal

ECOLOGY AND EVOLUTION
Volume 13, Issue 3, Pages -

Publisher

WILEY
DOI: 10.1002/ece3.9855

Keywords

Africa; bats; biotic interactions; climate; species distribution modeling; trophic guild

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Abiotic factors are important drivers of species distribution at macro scales, while biotic interactions are mostly considered at local scales. This study examines the role of biotic interactions in large-scale species distribution models (SDMs) for 177 bat species in Africa. The results show that including biotic variables, such as trophic resource richness, in SDMs enhances the model performance and can have an important role at continental scale. It is important to consider biotic interactions in SDMs at macro scales to better understand and predict species distribution patterns.
Abiotic factors are usually considered key drivers of species distribution at macro scales, while biotic interactions are mostly used at local scales. A few studies have explored the role of biotic interactions at macro scales, but all considered a limited number of species and obligate interactions. We examine the role of biotic interactions in large-scale SDMs by testing two main hypotheses: (1) biotic factors in SDMs can have an important role at continental scale; (2) the inclusion of biotic factors in large-scale SDMs is important also for generalist species. We used a maximum entropy algorithm to model the distribution of 177 bat species in Africa calibrating two SDMs for each species: one considering only abiotic variables (noBIO-SDMs) and the other (BIO-SDMs) including also biotic variables (trophic resource richness). We focused the interpretation of our results on variable importance and response curves. For each species, we also compared the potential distribution measuring the percentage of change between the two models in each pixel of the study area. All models gave AUC >0.7, with values on average higher in BIO-SDMs compared to noBIO-SDMs. Trophic resources showed an importance overall higher level than all abiotic predictors in most of the species (similar to 68%), including generalist species. Response curves were highly interpretable in all models, confirming the ecological reliability of our models. Model comparison between the two models showed a change in potential distribution for more than 80% of the species, particularly in tropical forests and shrublands. Our results highlight the importance of considering biotic interactions in SDMs at macro scales. We demonstrated that a generic biotic proxy can be important for modeling species distribution when species-specific data are not available, but we envision that a multi-scale analysis combined with a better knowledge of the species might provide a better understanding of the role of biotic interactions.

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