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Scale-dependent effects of landscape variables on gene flow and population structure in bats

Scale-dependent effects of landscape variables on gene flow and population structure in bats
Scale-dependent effects of landscape variables on gene flow and population structure in bats
Aim: A common pattern in biogeography is the scale-dependent effect of environmental variables on the spatial distribution of species. We tested the role of climatic and land cover variables in structuring the distribution of genetic variation in the grey long-eared bat, Plecotus austriacus, across spatial scales. Although landscape genetics has been widely used to describe spatial patterns of gene flow in a variety of taxa, volant animals have generally been neglected because of their perceived high dispersal potential.

Location: England and Europe.

Methods: We used a multiscale integrated approach, combining population genetics with species distribution modelling and geographical information under a causal modelling framework, to identify landscape barriers to gene flow and their effect on population structure and conservation status. Genotyping involved 23 polymorphic microsatellites and 259 samples from across the species' range.

Results: We identified distinct population structure shaped by geographical barriers and evidence of population fragmentation at the northern edge of the range. Habitat suitability (as captured by species distribution models, SDMs) was the most important landscape variable affecting genetic connectivity at the broad spatial scale, while at the fine scale, lowland unimproved grasslands, the main foraging habitat of P. austriacus, played a pivotal role in promoting genetic connectivity.

Main conclusions: The importance of lowland unimproved grasslands in determining the biogeography and genetic connectivity in P. austriacus highlights the importance of their conservation as part of a wider landscape management for fragmented edge populations. This study illustrates the value of using SDMs in landscape genetics and highlights the need for multiscale approaches when studying genetic connectivity in volant animals or taxa with similar dispersal abilities.
1366-9516
1173-1185
Razgour, Orly
107f4912-304a-44d5-99f8-cdf2a9ce6f14
Rebelo, Hugo
81a4b2cf-7d26-4a69-974f-ea0854c33b0d
Puechmaille, Sébastien J.
e0514bcf-93d2-4c51-8548-a754c3213105
Juste, Javier
d44bbd1c-ec75-43f4-87e6-214729740e0e
Ibáñez, Carlos
720fc66b-56ca-469e-90cb-dacef91483e3
Kiefer, Andreas
508fd66c-edf9-4b8b-ad9d-0338b43dcde5
Burke, Terry
16f9b6a5-0b4b-4001-85c5-eef8f14d3946
Dawson, Deborah A.
5576691c-0b23-4331-8fba-a91abbfa6c85
Jones, Gareth
0a6ac21d-b3cd-4aa9-b316-5ffd861e3c5a
Razgour, Orly
107f4912-304a-44d5-99f8-cdf2a9ce6f14
Rebelo, Hugo
81a4b2cf-7d26-4a69-974f-ea0854c33b0d
Puechmaille, Sébastien J.
e0514bcf-93d2-4c51-8548-a754c3213105
Juste, Javier
d44bbd1c-ec75-43f4-87e6-214729740e0e
Ibáñez, Carlos
720fc66b-56ca-469e-90cb-dacef91483e3
Kiefer, Andreas
508fd66c-edf9-4b8b-ad9d-0338b43dcde5
Burke, Terry
16f9b6a5-0b4b-4001-85c5-eef8f14d3946
Dawson, Deborah A.
5576691c-0b23-4331-8fba-a91abbfa6c85
Jones, Gareth
0a6ac21d-b3cd-4aa9-b316-5ffd861e3c5a

Razgour, Orly, Rebelo, Hugo, Puechmaille, Sébastien J., Juste, Javier, Ibáñez, Carlos, Kiefer, Andreas, Burke, Terry, Dawson, Deborah A. and Jones, Gareth (2014) Scale-dependent effects of landscape variables on gene flow and population structure in bats. Diversity and Distributions, 20 (10), 1173-1185. (doi:10.1111/ddi.12200).

Record type: Article

Abstract

Aim: A common pattern in biogeography is the scale-dependent effect of environmental variables on the spatial distribution of species. We tested the role of climatic and land cover variables in structuring the distribution of genetic variation in the grey long-eared bat, Plecotus austriacus, across spatial scales. Although landscape genetics has been widely used to describe spatial patterns of gene flow in a variety of taxa, volant animals have generally been neglected because of their perceived high dispersal potential.

Location: England and Europe.

Methods: We used a multiscale integrated approach, combining population genetics with species distribution modelling and geographical information under a causal modelling framework, to identify landscape barriers to gene flow and their effect on population structure and conservation status. Genotyping involved 23 polymorphic microsatellites and 259 samples from across the species' range.

Results: We identified distinct population structure shaped by geographical barriers and evidence of population fragmentation at the northern edge of the range. Habitat suitability (as captured by species distribution models, SDMs) was the most important landscape variable affecting genetic connectivity at the broad spatial scale, while at the fine scale, lowland unimproved grasslands, the main foraging habitat of P. austriacus, played a pivotal role in promoting genetic connectivity.

Main conclusions: The importance of lowland unimproved grasslands in determining the biogeography and genetic connectivity in P. austriacus highlights the importance of their conservation as part of a wider landscape management for fragmented edge populations. This study illustrates the value of using SDMs in landscape genetics and highlights the need for multiscale approaches when studying genetic connectivity in volant animals or taxa with similar dispersal abilities.

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e-pub ahead of print date: 4 April 2014
Published date: October 2014
Organisations: Environmental

Identifiers

Local EPrints ID: 394294
URI: http://eprints.soton.ac.uk/id/eprint/394294
ISSN: 1366-9516
PURE UUID: 3758e5e1-148f-4609-898c-ff2302a841d9
ORCID for Orly Razgour: ORCID iD orcid.org/0000-0003-3186-0313

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Date deposited: 13 May 2016 10:51
Last modified: 15 Mar 2024 00:20

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Contributors

Author: Orly Razgour ORCID iD
Author: Hugo Rebelo
Author: Sébastien J. Puechmaille
Author: Javier Juste
Author: Carlos Ibáñez
Author: Andreas Kiefer
Author: Terry Burke
Author: Deborah A. Dawson
Author: Gareth Jones

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