Habitat quality or quantity? Niche marginality across 21 plants and animals suggests differential responses between highland and lowland species to past climatic changes

Author:

Araya‐Donoso Raúl12ORCID,Biddy Austin23ORCID,Munguía‐Vega Adrián24,Lira‐Noriega Andrés25ORCID,Dolby Greer A.23ORCID

Affiliation:

1. School of Life Sciences, Arizona State University Arizona AZ USA

2. Baja GeoGenomics Consortium Tempe, Arizona AZ USA

3. Department of Biology, University of Alabama at Birmingham Alabama AL USA

4. Conservation Genetics Laboratory, School of Natural Resources and the Environment, University of Arizona Arizona AZ USA

5. CONAHCyT Research Fellow, Red de estudios moleculares Avanzados, Instituto de Ecología, A.C. Xalapa Veracruz México

Abstract

Climatic changes can affect species distributions, population abundance, and evolution. Such organismal responses could be determined by the amount and quality of available habitats, which can vary independently. In this study, we assessed changes in habitat quantity and quality independently to generate explicit predictions of the species' responses to climatic changes between Last Glacial Maximum (LGM) and present day. We built ecological niche models for genetic groups within 21 reptile, mammal, and plant taxa from the Baja California peninsula inhabiting lowland or highland environments. Significant niche divergence was detected for all clades within species, along with significant differences in the niche breadth and area of distribution between northern and southern clades. We quantified habitat quantity from the distribution models, and most clades showed a reduction in distribution area towards LGM. Further, niche marginality (used as a measure of habitat quality) was higher during LGM for most clades, except for northern highland species. Our results suggest that changes in habitat quantity and quality can affect organismal responses independently. This allows the prediction of genomic signatures associated with changes in effective population size and selection pressure that could be explicitly tested from our models.

Publisher

Wiley

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