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Biodiversity and Conservation

, Volume 27, Issue 9, pp 2425–2441 | Cite as

Ignoring seasonal changes in the ecological niche of non-migratory species may lead to biases in potential distribution models: lessons from bats

  • Sonia Smeraldo
  • Mirko Di Febbraro
  • Luciano Bosso
  • Carles Flaquer
  • David Guixé
  • Fulgencio Lisón
  • Angelika Meschede
  • Javier Juste
  • Julia Prüger
  • Xavier Puig-Montserrat
  • Danilo Russo
Original Paper

Abstract

Phenology is a key feature in the description of species niches to capture seasonality in resource use and climate requirements. Species distribution models (SDMs) are widespread tools to evaluate a species’ potential distribution and identify its large-scale habitat preferences. Despite its chief importance, data phenology is often neglected in SDM development. Non-migratory bats of temperate regions are good model species to test the effect of data seasonality on SDM outputs because of their different roosting preferences between hibernation and reproduction. We hypothesized that (1) the output of SDMs developed for six non-migratory European bat species will differ between hibernation and reproduction; (2) models built from datasets encompassing both ecological stages will perform better than seasonal models. We employed a dataset of 470 independent occurrences of bat hibernacula and 400 independent records of nursery roosts of selected species and for each species we developed separate winter, summer and mixed (i.e. generated from both winter and summer occurrences) models. Seasonal and mixed potential ranges differed from each other and the direction of this difference was species-specific. Mixed models outperformed seasonal models in representing species niches. Our work highlights the importance of considering data seasonality in the development of SDMs for bats as well as many other organisms, including non-migratory species, otherwise the analysis will lead to significant biases whose consequences for conservation planning and landscape management may be detrimental.

Keywords

Biomod2 Hibernation IUCN Reproduction Species distribution models 

Notes

Acknowledgements

We would like to thank the Eurobats Advisory Committee for providing bat occurrence records for many of the countries within the Agreement range. We also thank two anonymous reviewers for the valuable comments made on a previous ms version.

Supplementary material

10531_2018_1545_MOESM1_ESM.docx (87 kb)
Supplementary material 1 (DOCX 87 kb)

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Sonia Smeraldo
    • 1
  • Mirko Di Febbraro
    • 2
  • Luciano Bosso
    • 1
  • Carles Flaquer
    • 3
  • David Guixé
    • 4
  • Fulgencio Lisón
    • 5
  • Angelika Meschede
    • 6
  • Javier Juste
    • 7
  • Julia Prüger
    • 8
  • Xavier Puig-Montserrat
    • 3
    • 9
  • Danilo Russo
    • 1
    • 10
  1. 1.Wildlife Research Unit, Dipartimento di AgrariaUniversità degli Studi di Napoli Federico IINaplesItaly
  2. 2.EnvixLab, Dipartimento Bioscienze e TerritorioUniversità del MolisePescheItaly
  3. 3.Bat Research GroupGranollers Museum of Natural SciencesGranollersSpain
  4. 4.Forest Sciences Centre of CataloniaLleidaSpain
  5. 5.Laboratorio de Ecología del Paisaje Forestal, Departamento de Ciencias ForestalesUniversidad de La FronteraTemucoChile
  6. 6.Institute of Zoology IIUniversity of Erlangen-NurembergErlangenGermany
  7. 7.Estacion Biológica de Doñana (CSIC)SevilleSpain
  8. 8.Interessengemeinschaft für Fledermausschutz und -forschung in Thüringen e.VSchweinaGermany
  9. 9.Galanthus AssociationCataloniaSpain
  10. 10.School of Biological SciencesUniversity of BristolBristolUK

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