Csergő, A.M., Salguero-Gómez, R., Broennimann, O. et al. (10 more authors) (2017) Less favourable climates constrain demographic strategies in plants. Ecology Letters, 20 (8). pp. 969-980. ISSN 1461-023X
Abstract
Correlative species distribution models are based on the observed relationship between species’occurrence and macroclimate or other environmental variables. In climates predicted less favour-able populations are expected to decline, and in favourable climates they are expected to persist.However, little comparative empirical support exists for a relationship between predicted climatesuitability and population performance. We found that the performance of 93 populations of 34plant species worldwide–as measured byin situpopulation growth rate, its temporal variation andextinction risk–was not correlated with climate suitability. However, correlations of demographicprocesses underpinning population performance with climate suitability indicated both resistanceand vulnerability pathways of population responses to climate: in less suitable climates, plants expe-rienced greater retrogression (resistance pathway) and greater variability in some demographic rates(vulnerability pathway). While a range of demographic strategies occur within species’ climaticniches, demographic strategies are more constrained in climates predicted to be less suitable.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Climate change; COMPADRE Plant Matrix Database; demographic compensation; ecological niche models; matrix population models; population dynamics; spatial demography; species distribution models; species interactions–abiotic stress hypothesis; stress gradient hypothesis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Sep 2017 14:15 |
Last Modified: | 20 Sep 2017 14:15 |
Published Version: | https://doi.org/10.1111/ele.12794 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1111/ele.12794 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:121390 |