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Article: Activity niches outperform thermal physiological limits in predicting global ant distributions

TitleActivity niches outperform thermal physiological limits in predicting global ant distributions
Authors
Keywordsant biogeography
ant distribution
foraging activity
range projection
species distribution model
Issue Date2020
PublisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2699
Citation
Journal of Biogeography, 2020, v. 47 n. 4, p. 829-842 How to Cite?
AbstractAim: Thermal physiology is commonly used in mechanistic models to predict species distribution and project distribution change. Such thermal constraints for ants are often measured under laboratory conditions as critical thermal limits (CTmax and CTmin), but have also been observed in the field as foraging thermal limits (FTmin and FTmax). Here we compared distribution projections based on ant physiological and behavioural thermal limits with their realized distributions to assess the validity of using ecophysiological models to predict species ranges over large scales. Location: Global. Taxon: Ants. Methods: From published literature, we compiled a database of 148 lab‐measured critical thermal limits and 137 field‐observed foraging thermal limits for 20 ant genera distributed around the world. We projected their potential ranges using active hour thresholds by matching their thermal limits or preferred thermal breadth (incorporating thermal optima) with hourly surface temperature data. We then compared the projections against a comprehensive global database of ant distributions to assess the validity of physiologically and behaviourally based models. Results: We found that surface temperature plays a clear role in generic‐level ant biogeography. Projections based on foraging thermal limits were more conservative in constraining ranges to observed distributions, while projections based on critical thermal limits often overestimated ranges. Furthermore, thermal limit models can be improved by incorporating behaviourally derived thermal optima. Main conclusions: Our results suggest that temperature‐dependent activity niches and thermal optima better reveal species realized thermal niches than critical thermal limits, and hence can improve predictions of species distributions and future distribution changes under climate change.
Persistent Identifierhttp://hdl.handle.net/10722/288303
ISSN
2021 Impact Factor: 4.810
2020 SCImago Journal Rankings: 1.700
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGUO, F-
dc.contributor.authorGuenard, B-
dc.contributor.authorEcnomo, EP-
dc.contributor.authorDeutsch, CA-
dc.contributor.authorBonebrake, TC-
dc.date.accessioned2020-10-05T12:10:52Z-
dc.date.available2020-10-05T12:10:52Z-
dc.date.issued2020-
dc.identifier.citationJournal of Biogeography, 2020, v. 47 n. 4, p. 829-842-
dc.identifier.issn0305-0270-
dc.identifier.urihttp://hdl.handle.net/10722/288303-
dc.description.abstractAim: Thermal physiology is commonly used in mechanistic models to predict species distribution and project distribution change. Such thermal constraints for ants are often measured under laboratory conditions as critical thermal limits (CTmax and CTmin), but have also been observed in the field as foraging thermal limits (FTmin and FTmax). Here we compared distribution projections based on ant physiological and behavioural thermal limits with their realized distributions to assess the validity of using ecophysiological models to predict species ranges over large scales. Location: Global. Taxon: Ants. Methods: From published literature, we compiled a database of 148 lab‐measured critical thermal limits and 137 field‐observed foraging thermal limits for 20 ant genera distributed around the world. We projected their potential ranges using active hour thresholds by matching their thermal limits or preferred thermal breadth (incorporating thermal optima) with hourly surface temperature data. We then compared the projections against a comprehensive global database of ant distributions to assess the validity of physiologically and behaviourally based models. Results: We found that surface temperature plays a clear role in generic‐level ant biogeography. Projections based on foraging thermal limits were more conservative in constraining ranges to observed distributions, while projections based on critical thermal limits often overestimated ranges. Furthermore, thermal limit models can be improved by incorporating behaviourally derived thermal optima. Main conclusions: Our results suggest that temperature‐dependent activity niches and thermal optima better reveal species realized thermal niches than critical thermal limits, and hence can improve predictions of species distributions and future distribution changes under climate change.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2699-
dc.relation.ispartofJournal of Biogeography-
dc.rightsPreprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.subjectant biogeography-
dc.subjectant distribution-
dc.subjectforaging activity-
dc.subjectrange projection-
dc.subjectspecies distribution model-
dc.titleActivity niches outperform thermal physiological limits in predicting global ant distributions-
dc.typeArticle-
dc.identifier.emailGuenard, B: bguenard@hku.hk-
dc.identifier.emailBonebrake, TC: tbone@hku.hk-
dc.identifier.authorityGuenard, B=rp01963-
dc.identifier.authorityBonebrake, TC=rp01676-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/jbi.13799-
dc.identifier.scopuseid_2-s2.0-85079840847-
dc.identifier.hkuros314693-
dc.identifier.volume47-
dc.identifier.issue4-
dc.identifier.spage829-
dc.identifier.epage842-
dc.identifier.isiWOS:000522146100005-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0305-0270-

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