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Autor(en) / Beteiligte
Titel
Support for a relationship between demography and modeled habitat suitability is scale dependent for the purple martin Progne subis
Ist Teil von
  • The Journal of animal ecology, 2021-02, Vol.90 (2), p.356-366
Ort / Verlag
England: Blackwell Publishing Ltd
Erscheinungsjahr
2021
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • Species distribution models (SDMs) estimate habitat suitability for species in geographic space. They are extensively used in conservation under the assumption that there is a positive relationship between habitat suitability and species success and stability. Given the difficulties in obtaining demographic data across a species' range, this assumption is rarely tested. Here we provide a range‐wide test of this relationship for the eastern subspecies of purple martin Progne subis subis. We build a well‐supported SDM for the breeding range of the purple martin, and pair it with an unparalleled demographic dataset of nest success and local and regional abundance data for the species to test the proposed link between habitat suitability and fecundity and demography. We find a positive relationship between regional abundance and habitat suitability but no relationship between local abundance or fecundity and habitat suitability. Our data suggest that local success is driven largely by biotic and stochastic factors and raise the possibility that purple martins are experiencing a time lag in their distribution. More broadly our results call for caution in how we interpret SDMs and do not support the assumption that areas of high habitat suitability are the best areas for species persistence. We often presume a link between demographic parameters and habitat suitability from SDMs, but we are rarely able to test it. Using an unparalleled range‐wide demographic dataset the authors show no correspondence between SDM output and fecundity, but a positive‐logistic type relationship between abundance and SDM‐derived habitat suitability.
Sprache
Englisch
Identifikatoren
ISSN: 0021-8790
eISSN: 1365-2656
DOI: 10.1111/1365-2656.13369
Titel-ID: cdi_proquest_miscellaneous_2453689637

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