C Gubili
Environmental and anthropogenic drivers of connectivity patterns : a basis for prioritizing conservation efforts for threatened populations
Gubili, C; Mariani, S; Weckworth, B; Galpern, P; McDevitt, A; Hebblewhite, M; Nickel, B; Musiani, M
Authors
S Mariani
B Weckworth
P Galpern
A McDevitt
M Hebblewhite
B Nickel
M Musiani
Abstract
Ecosystem fragmentation and habitat loss have been the focus of landscape management due to restrictions on contemporary connectivity and dispersal of populations. Here, we used an individual approach to determine the drivers of genetic differentiation in caribou of the Canadian Rockies. We modelled the effects of isolation by distance, landscape resistance and predation risk, and evaluated the consequences of individual migratory behaviour (seasonally migratory vs sedentary) on gene flow in this threatened species. We applied distance-based and reciprocal causal modeling approaches, testing alternative hypotheses on the effects of geographic, topographic, environmental and local population specific variables on genetic differentiation and relatedness among individuals. Overall gene flow was restricted to neighbouring local populations, with spatial coordinates, local population size, groups and elevation explaining connectivity among individuals. Landscape resistance, geographic distances and predation risk were correlated with genetic distances, with correlations three-fold higher for sedentary than for migratory caribou. As local caribou populations are increasingly isolated, our results indicate the need to address genetic connectivity, especially for populations with individuals displaying different migratory behaviours, while maintaining quality habitat both within and across the ranges of threatened populations.
Citation
Gubili, C., Mariani, S., Weckworth, B., Galpern, P., McDevitt, A., Hebblewhite, M., …Musiani, M. (2017). Environmental and anthropogenic drivers of connectivity patterns : a basis for prioritizing conservation efforts for threatened populations. Evolutionary Applications, 10(2), 199-211. https://doi.org/10.1111/eva.12443
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 10, 2016 |
Online Publication Date | Oct 26, 2016 |
Publication Date | Feb 1, 2017 |
Deposit Date | Oct 31, 2016 |
Publicly Available Date | Oct 31, 2016 |
Journal | Evolutionary applications |
Print ISSN | 1752-4563 |
Electronic ISSN | 1752-4571 |
Publisher | Wiley |
Volume | 10 |
Issue | 2 |
Pages | 199-211 |
DOI | https://doi.org/10.1111/eva.12443 |
Publisher URL | http://dx.doi.org/10.1111/eva.12443 |
Related Public URLs | http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291752-4571/ |
Additional Information | Funders : Canadian Association of Petroleum Producers;Weyerhaueser;Parks Canada;Shell;BC Ministry of Forests;Alberta Fish and Wildlife Division;World Wildlife Fund Canada;Conoco-Phillips;Alberta Conservation Association;NSERC;UCD SEED |
Files
Gubili_et_al-2017-Evolutionary_Applications.pdf
(907 Kb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Resource competition drives an invasion‐replacement event among shrew species on an island
(2023)
Journal Article
UK DNA working group eDNA week, January 2022
(2022)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search