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Global Change Biology - 2022 - Wolf - Urban affinity and its associated traits A global analysis of bats.pdf 1,05MB
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1000 Titel
  • Urban affinity and its associated traits: A global analysis of bats
1000 Autor/in
  1. Wolf, Janis Maximilian |
  2. Jeschke, Jonathan |
  3. Voigt, Christian |
  4. Itescu, Yuval |
1000 Erscheinungsjahr 2022
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-06-30
1000 Erschienen in
1000 Quellenangabe
  • 28(19):5667-5682
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1111/gcb.16320 |
1000 Ergänzendes Material
  • https://onlinelibrary.wiley.com/doi/10.1111/gcb.16320#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Urbanization is a major contributor to the loss of biodiversity. Its rapid progress is mostly at the expense of natural ecosystems and the species inhabiting them. While some species can adjust quickly and thrive in cities, many others cannot. To support biodiversity conservation and guide management decisions in urban areas, it is important to find robust methods to estimate the urban affinity of species (i.e. their tendency to live in urban areas) and understand how it is associated with their traits. Since previous studies mainly relied on discrete classifications of species' urban affinity, often involving inconsistent assessments or variable parameters, their results were difficult to compare. To address this issue, we developed and evaluated a set of continuous indices that quantify species' urban affinity based on publicly available occurrence data. We investigated the extent to which a species' position along the urban affinity gradient depends on the chosen index and how this choice affects inferences about the relationship between urban affinity and a set of morphological, sensory and functional traits. While these indices are applicable to a wide range of taxonomic groups, we examined their performance using a global set of 356 bat species. As bats vary in sensitivity to anthropogenic disturbances, they provide an interesting case study. We found that different types of indices resulted in different rankings of species on the urban affinity spectrum, but this had little effect on the association of traits with urban affinity. Our results suggest that bat species predisposed to urban life are characterized by low echolocation call frequencies, relatively long call durations, small body size and flexibility in the selection of the roost type. We conclude that simple indices are appropriate and practical, and propose to apply them to more taxa to improve our understanding of how urbanization favours or filters species with particular traits.
1000 Sacherschließung
lokal Chiroptera
lokal GBIF
lokal urban avoiders
lokal biogeography
lokal Chiroptera [MeSH]
lokal macroecology
lokal urban dwellers
lokal species traits
lokal urbanity indices
lokal Environmental Chemistry
lokal Ecosystem [MeSH]
lokal Animals [MeSH]
lokal Global and Planetary Change
lokal Biodiversity [MeSH]
lokal Ecology
lokal General Environmental Science
lokal urbanization
lokal Cities [MeSH]
lokal urban–rural gradient
lokal Urbanization [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-0560-6354|https://orcid.org/0000-0003-3328-4217|https://orcid.org/0000-0002-0706-3974|https://orcid.org/0000-0002-6301-7112
1000 Label
1000 Förderer
  1. Projekt DEAL |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. Open Access funding
1000 Dateien
  1. Urban affinity and its associated traits: A global analysis of bats
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Projekt DEAL |
    1000 Förderprogramm Open Access funding
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6449446.rdf
1000 Erstellt am 2023-05-05T09:09:28.885+0200
1000 Erstellt von 336
1000 beschreibt frl:6449446
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Wed May 31 08:21:15 CEST 2023
1000 Objekt bearb. Wed May 31 08:21:04 CEST 2023
1000 Vgl. frl:6449446
1000 Oai Id
  1. oai:frl.publisso.de:frl:6449446 |
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1000 Sichtbarkeit Daten public
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