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Understanding the relationship between bat species richness and specialization across four global biodiversity hotspots

Julian OeserHumboldt-Universitat zu BerlinDamaris ZurellUniversity of PotsdamFrieder MayerMuseum für Naturkunde - Leibniz-Institut für Evolutions- und BiodiversitätsforschungEmrah ÇoramanIstanbul Technical University Eurasia Institute of Earth SciencesNia ToshkovaNational Museum of Natural History, Bulgarian Academy of SciencesStanimira DelevaNational Museum of Natural History, Bulgarian Academy of SciencesIoseb NatradzeIlia State UniversityPetr BendaNational Museum PragueChristian DietzPanagiotis GeorgiakakisUniversity of CreteEran LevinTel Aviv UniversityAmit DolevHeliana DundarovaBulgarian Academy of SciencesAstghik GhazaryanYerevan State UniversitySercan IrmakIstanbul Technical University Eurasia Institute of Earth SciencesNijat HasanovMinistry of Science and Education of the Republic of AzerbaijanGulnar GuliyevaMinistry of Science and Education of the Republic of AzerbaijanMariya GritsinaAcademy of Sciences of UzbekistanAlexander BukhnikashviliIlia State UniversityTobias KuemmerleHumboldt-University of Berlin Department of Geography
2024en
ABI

Annotatsiya

More species-rich communities are often assumed to contain more specialist species, typically characterized by narrower niche breadths or smaller ranges. Stronger interspecific competition in species-rich communities is thought to be a key mechanism explaining these patterns. Yet, the relationship between richness and specialization has so far only been studied for a few taxa, and characterizing the effects of interspecific competition on species niches and distributions is challenging. Thus, it remains unclear how general richness-specialization relationships are. Here, we assess relationships between specialization and interspecific competition along richness gradients of bats across four understudied global biodiversity hotspots. Using a novel, integrated species distribution modeling approach that combines expert range maps and occurrence records of 49 bat species, we produced fine-scale distribution and species richness maps, allowing us to assess environmental niche breadth and range sizes. Further, contrasting potential ranges obtained from traditional distribution models with realized ranges obtained through the integration of expert ranges, we assessed range filling and derived indicators of geographic exclusion that characterize how interspecific competition is limiting species' ranges. Our results highlight that the narrowest niche breadths and strongest geographic exclusion occur in species-poor, not species-rich bat communities, in contrast to what was found for other taxa. While niche breadth peaked at intermediate richness, range sizes decreased continuously with richness. These findings show that increasing bat species richness is not closely linked to environmental specialization across the entire richness gradient and that decreasing range sizes in species-rich communities could be driven by the number of interacting species, rather than by environmental specialization or individually stronger interactions. Our study shows how innovative distribution modeling approaches can shed new light on the interplay of species richness, interspecific competition, and community structure. More generally, our findings caution against generalizing relationships between richness and specialization across taxa and geographies.

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