Understanding the relationship between bat species richness and
specialization across four global biodiversity hotspots
- Julian Oeser,
- Damaris Zurell,
- Frieder Mayer,
- Emrah Çoraman,
- Nia Toshkova,
- Stanimira Deleva,
- Ioseb Natradze,
- Petr Benda,
- Christian Dietz,
- Panagiotis Georgiakakis,
- Eran Levin,
- Amit Dolev,
- Heliana Dundarova,
- Astghik Ghazaryan,
- Sercan Irmak,
- Nijat Hasanov,
- Gulnar Guliyeva,
- Mariya Gritsina,
- Alexander Bukhnikashvili,
- Tobias Kuemmerle
Frieder Mayer
Museum für Naturkunde - Leibniz-Institut für Evolutions- und Biodiversitätsforschung
Author ProfileEmrah Çoraman
Istanbul Technical University Eurasia Institute of Earth Sciences
Author ProfileNia Toshkova
National Museum of Natural History, Bulgarian Academy of Sciences
Author ProfileStanimira Deleva
National Museum of Natural History, Bulgarian Academy of Sciences
Author ProfileSercan Irmak
Istanbul Technical University Eurasia Institute of Earth Sciences
Author ProfileNijat Hasanov
Ministry of Science and Education of the Republic of Azerbaijan
Author ProfileGulnar Guliyeva
Ministry of Science and Education of the Republic of Azerbaijan
Author ProfileTobias Kuemmerle
Humboldt-University of Berlin Department of Geography
Author ProfileAbstract
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.