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Multi-species genetic connectivity in a terrestrial habitat network

BACKGROUND: Habitat fragmentation reduces genetic connectivity for multiple species, yet conservation efforts tend to rely heavily on single-species connectivity estimates to inform land-use planning. Such conservation activities may benefit from multi-species connectivity estimates, which provide a...

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Autores principales: Marrotte, Robby R., Bowman, Jeff, Brown, Michael G.C., Cordes, Chad, Morris, Kimberley Y., Prentice, Melanie B., Wilson, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629812/
https://www.ncbi.nlm.nih.gov/pubmed/29043084
http://dx.doi.org/10.1186/s40462-017-0112-2
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author Marrotte, Robby R.
Bowman, Jeff
Brown, Michael G.C.
Cordes, Chad
Morris, Kimberley Y.
Prentice, Melanie B.
Wilson, Paul J.
author_facet Marrotte, Robby R.
Bowman, Jeff
Brown, Michael G.C.
Cordes, Chad
Morris, Kimberley Y.
Prentice, Melanie B.
Wilson, Paul J.
author_sort Marrotte, Robby R.
collection PubMed
description BACKGROUND: Habitat fragmentation reduces genetic connectivity for multiple species, yet conservation efforts tend to rely heavily on single-species connectivity estimates to inform land-use planning. Such conservation activities may benefit from multi-species connectivity estimates, which provide a simple and practical means to mitigate the effects of habitat fragmentation for a larger number of species. To test the validity of a multi-species connectivity model, we used neutral microsatellite genetic datasets of Canada lynx (Lynx canadensis), American marten (Martes americana), fisher (Pekania pennanti), and southern flying squirrel (Glaucomys volans) to evaluate multi-species genetic connectivity across Ontario, Canada. RESULTS: We used linear models to compare node-based estimates of genetic connectivity for each species to point-based estimates of landscape connectivity (current density) derived from circuit theory. To our knowledge, we are the first to evaluate current density as a measure of genetic connectivity. Our results depended on landscape context: habitat amount was more important than current density in explaining multi-species genetic connectivity in the northern part of our study area, where habitat was abundant and fragmentation was low. In the south however, where fragmentation was prevalent, genetic connectivity was correlated with current density. Contrary to our expectations however, locations with a high probability of movement as reflected by high current density were negatively associated with gene flow. Subsequent analyses of circuit theory outputs showed that high current density was also associated with high effective resistance, underscoring that the presence of pinch points is not necessarily indicative of gene flow. CONCLUSIONS: Overall, our study appears to provide support for the hypothesis that landscape pattern is important when habitat amount is low. We also conclude that while current density is proportional to the probability of movement per unit area, this does not imply increased gene flow, since high current density tends to be a result of neighbouring pixels with high cost of movement (e.g., low habitat amount). In other words, pinch points with high current density appear to constrict gene flow. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40462-017-0112-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-56298122017-10-17 Multi-species genetic connectivity in a terrestrial habitat network Marrotte, Robby R. Bowman, Jeff Brown, Michael G.C. Cordes, Chad Morris, Kimberley Y. Prentice, Melanie B. Wilson, Paul J. Mov Ecol Research BACKGROUND: Habitat fragmentation reduces genetic connectivity for multiple species, yet conservation efforts tend to rely heavily on single-species connectivity estimates to inform land-use planning. Such conservation activities may benefit from multi-species connectivity estimates, which provide a simple and practical means to mitigate the effects of habitat fragmentation for a larger number of species. To test the validity of a multi-species connectivity model, we used neutral microsatellite genetic datasets of Canada lynx (Lynx canadensis), American marten (Martes americana), fisher (Pekania pennanti), and southern flying squirrel (Glaucomys volans) to evaluate multi-species genetic connectivity across Ontario, Canada. RESULTS: We used linear models to compare node-based estimates of genetic connectivity for each species to point-based estimates of landscape connectivity (current density) derived from circuit theory. To our knowledge, we are the first to evaluate current density as a measure of genetic connectivity. Our results depended on landscape context: habitat amount was more important than current density in explaining multi-species genetic connectivity in the northern part of our study area, where habitat was abundant and fragmentation was low. In the south however, where fragmentation was prevalent, genetic connectivity was correlated with current density. Contrary to our expectations however, locations with a high probability of movement as reflected by high current density were negatively associated with gene flow. Subsequent analyses of circuit theory outputs showed that high current density was also associated with high effective resistance, underscoring that the presence of pinch points is not necessarily indicative of gene flow. CONCLUSIONS: Overall, our study appears to provide support for the hypothesis that landscape pattern is important when habitat amount is low. We also conclude that while current density is proportional to the probability of movement per unit area, this does not imply increased gene flow, since high current density tends to be a result of neighbouring pixels with high cost of movement (e.g., low habitat amount). In other words, pinch points with high current density appear to constrict gene flow. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40462-017-0112-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-06 /pmc/articles/PMC5629812/ /pubmed/29043084 http://dx.doi.org/10.1186/s40462-017-0112-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Marrotte, Robby R.
Bowman, Jeff
Brown, Michael G.C.
Cordes, Chad
Morris, Kimberley Y.
Prentice, Melanie B.
Wilson, Paul J.
Multi-species genetic connectivity in a terrestrial habitat network
title Multi-species genetic connectivity in a terrestrial habitat network
title_full Multi-species genetic connectivity in a terrestrial habitat network
title_fullStr Multi-species genetic connectivity in a terrestrial habitat network
title_full_unstemmed Multi-species genetic connectivity in a terrestrial habitat network
title_short Multi-species genetic connectivity in a terrestrial habitat network
title_sort multi-species genetic connectivity in a terrestrial habitat network
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629812/
https://www.ncbi.nlm.nih.gov/pubmed/29043084
http://dx.doi.org/10.1186/s40462-017-0112-2
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