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Biological Reviews - 2022 - Festa - Bat responses to climate change a systematic review.pdf 1,06MB
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1000 Titel
  • Bat responses to climate change: a systematic review
1000 Autor/in
  1. Festa, Francesca |
  2. Ancillotto, Leonardo |
  3. Santini, Luca |
  4. Pacifici, Michela |
  5. Rocha, Ricardo |
  6. Toshkova, Nia |
  7. Amorim, Francisco |
  8. Benítez‐López, Ana |
  9. Domer, Adi |
  10. Hamidović, Daniela |
  11. Kramer-Schadt, Stephanie |
  12. Mathews, Fiona |
  13. Radchuk, Viktoriia |
  14. Rebelo, Hugo |
  15. Ruczynski, Ireneusz |
  16. Solem, Estelle |
  17. Tsoar, Asaf |
  18. Russo, Danilo |
  19. Razgour, Orly |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-08-21
1000 Erschienen in
1000 Quellenangabe
  • 98(1):19-33
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1111/brv.12893 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087939/ |
1000 Ergänzendes Material
  • https://onlinelibrary.wiley.com/doi/10.1111/brv.12893#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Understanding how species respond to climate change is key to informing vulnerability assessments and designing effective conservation strategies, yet research efforts on wildlife responses to climate change fail to deliver a representative overview due to inherent biases. Bats are a species-rich, globally distributed group of organisms that are thought to be particularly sensitive to the effects of climate change because of their high surface-to-volume ratios and low reproductive rates. We systematically reviewed the literature on bat responses to climate change to provide an overview of the current state of knowledge, identify research gaps and biases and highlight future research needs. We found that studies are geographically biased towards Europe, North America and Australia, and temperate and Mediterranean biomes, thus missing a substantial proportion of bat diversity and thermal responses. Less than half of the published studies provide concrete evidence for bat responses to climate change. For over a third of studied bat species, response evidence is only based on predictive species distribution models. Consequently, the most frequently reported responses involve range shifts (57% of species) and changes in patterns of species diversity (26%). Bats showed a variety of responses, including both positive (e.g. range expansion and population increase) and negative responses (range contraction and population decrease), although responses to extreme events were always negative or neutral. Spatial responses varied in their outcome and across families, with almost all taxonomic groups featuring both range expansions and contractions, while demographic responses were strongly biased towards negative outcomes, particularly among Pteropodidae and Molossidae. The commonly used correlative modelling approaches can be applied to many species, but do not provide mechanistic insight into behavioural, physiological, phenological or genetic responses. There was a paucity of experimental studies (26%), and only a small proportion of the 396 bat species covered in the examined studies were studied using long-term and/or experimental approaches (11%), even though they are more informative about the effects of climate change. We emphasise the need for more empirical studies to unravel the multifaceted nature of bats' responses to climate change and the need for standardised study designs that will enable synthesis and meta-analysis of the literature. Finally, we stress the importance of overcoming geographic and taxonomic disparities through strengthening research capacity in the Global South to provide a more comprehensive view of terrestrial biodiversity responses to climate change.
1000 Sacherschließung
lokal Climate Change [MeSH]
lokal conservation
lokal life traits
lokal Chiroptera [MeSH]
lokal Ecosystem [MeSH]
lokal Animals [MeSH]
lokal species range
lokal General Biochemistry, Genetics and Molecular Biology
lokal bats
lokal Biodiversity [MeSH]
lokal General Agricultural and Biological Sciences
lokal physiology
lokal climate change
lokal Population Dynamics [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RmVzdGEsIEZyYW5jZXNjYQ==|https://frl.publisso.de/adhoc/uri/QW5jaWxsb3R0bywgTGVvbmFyZG8=|https://frl.publisso.de/adhoc/uri/U2FudGluaSwgTHVjYQ==|https://frl.publisso.de/adhoc/uri/UGFjaWZpY2ksIE1pY2hlbGE=|https://frl.publisso.de/adhoc/uri/Um9jaGEsIFJpY2FyZG8=|https://frl.publisso.de/adhoc/uri/VG9zaGtvdmEsIE5pYQ==|https://frl.publisso.de/adhoc/uri/QW1vcmltLCBGcmFuY2lzY28=|https://frl.publisso.de/adhoc/uri/QmVuw610ZXrigJBMw7NwZXosIEFuYQ==|https://frl.publisso.de/adhoc/uri/RG9tZXIsIEFkaQ==|https://frl.publisso.de/adhoc/uri/SGFtaWRvdmnEhywgRGFuaWVsYQ==|https://orcid.org/0000-0002-9269-4446|https://frl.publisso.de/adhoc/uri/TWF0aGV3cywgRmlvbmE=|https://frl.publisso.de/adhoc/uri/UmFkY2h1aywgVmlrdG9yaWlh|https://frl.publisso.de/adhoc/uri/UmViZWxvLCBIdWdv|https://frl.publisso.de/adhoc/uri/UnVjenluc2tpLCBJcmVuZXVzeg==|https://frl.publisso.de/adhoc/uri/U29sZW0sIEVzdGVsbGU=|https://frl.publisso.de/adhoc/uri/VHNvYXIsIEFzYWY=|https://orcid.org/0000-0002-1934-7130|https://frl.publisso.de/adhoc/uri/UmF6Z291ciwgT3JseQ==
1000 Label
1000 Förderer
  1. European Cooperation in Science and Technology |
  2. Bulgarian National Science Fund |
  3. Junta de Andalucía |
  4. EMERGIA grant |
  5. Spanish Ministry of Science, Innovation and Universities |
  6. Juan de la Cierva-Incorporación grant |
  7. Portuguese Foundation for Science and Technology |
  8. Natural Environment Research Council |
  9. MUR Rita Levi Montalcini program |
1000 Fördernummer
  1. COST Action CA18107
  2. CP-06-COST/15
  3. -
  4. EMERGIA20_00252
  5. -
  6. IJCI-2017-31419
  7. 2020.01129.CEECIND/CP1601/CT0004
  8. NE/M018660/20
  9. -
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
  6. -
  7. -
  8. -
  9. -
1000 Dateien
  1. Bat responses to climate change: a systematic review
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer European Cooperation in Science and Technology |
    1000 Förderprogramm -
    1000 Fördernummer COST Action CA18107
  2. 1000 joinedFunding-child
    1000 Förderer Bulgarian National Science Fund |
    1000 Förderprogramm -
    1000 Fördernummer CP-06-COST/15
  3. 1000 joinedFunding-child
    1000 Förderer Junta de Andalucía |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer EMERGIA grant |
    1000 Förderprogramm -
    1000 Fördernummer EMERGIA20_00252
  5. 1000 joinedFunding-child
    1000 Förderer Spanish Ministry of Science, Innovation and Universities |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Juan de la Cierva-Incorporación grant |
    1000 Förderprogramm -
    1000 Fördernummer IJCI-2017-31419
  7. 1000 joinedFunding-child
    1000 Förderer Portuguese Foundation for Science and Technology |
    1000 Förderprogramm -
    1000 Fördernummer 2020.01129.CEECIND/CP1601/CT0004
  8. 1000 joinedFunding-child
    1000 Förderer Natural Environment Research Council |
    1000 Förderprogramm -
    1000 Fördernummer NE/M018660/20
  9. 1000 joinedFunding-child
    1000 Förderer MUR Rita Levi Montalcini program |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6449452.rdf
1000 Erstellt am 2023-05-05T09:11:22.672+0200
1000 Erstellt von 336
1000 beschreibt frl:6449452
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2023-11-29T15:23:07.165+0100
1000 Objekt bearb. Wed Nov 29 15:23:06 CET 2023
1000 Vgl. frl:6449452
1000 Oai Id
  1. oai:frl.publisso.de:frl:6449452 |
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