Please use this identifier to cite or link to this item:
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections
Author(s): Razgour, Orly
Forester, Brenna
Taggart, John B
Bekaert, Michaël
Juste, Javier
Ibáñez, Carlos
Puechmaille, Sébastien J
Novella-Fernandez, Roberto
Alberdi, Antton
Manel, Stéphanie
Contact Email:
Keywords: global climate change
genetic adaptations
ecological niche models
conservation genomics
evolutionary rescue
Issue Date: 21-May-2019
Date Deposited: 29-May-2019
Citation: Razgour O, Forester B, Taggart JB, Bekaert M, Juste J, Ibáñez C, Puechmaille SJ, Novella-Fernandez R, Alberdi A & Manel S (2019) Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections. Proceedings of the National Academy of Sciences of the United States of America, 116 (21), pp. 10418-10423.
Abstract: Local adaptations can determine the potential of populations to respond to environmental changes, yet adaptive genetic variation is commonly ignored in models forecasting species vulnerability and biogeographical shifts under future climate change. Here we integrate genomic and ecological modeling approaches to identify genetic adaptations associated with climate in two cryptic forest bats. We then incorporate this information directly into forecasts of range changes under future climate change and assessment of population persistence through the spread of climate-adaptive genetic variation (evolutionary rescue potential). Considering climate-adaptive potential reduced range loss projections, suggesting that failure to account for intraspecific variability can result in overestimation of future losses. On the other hand, range overlap between species was projected to increase, indicating that interspecific competition is likely to play an important role in limiting species’ future ranges. We show that although evolutionary rescue is possible, it depends on a population’s adaptive capacity and connectivity. Hence, we stress the importance of incorporating genomic data and landscape connectivity in climate change vulnerability assessments and conservation management.
DOI Link: 10.1073/pnas.1820663116
Rights: Copyright © 2019 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY -
Licence URL(s):

Files in This Item:
File Description SizeFormat 
10418.full.pdfFulltext - Published Version1.34 MBAdobe PDFView/Open

This item is protected by original copyright

A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.