Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species
The use of multiple sampling areas in landscape genetic analysis has been recognized as a useful way of generalizing the patterns of environmental effects on organism gene flow. It reduces the variability in inference which can be substantially affected by the scale of the study area and its geographic location. However, empirical landscape genetic studies rarely consider multiple sampling areas due to the sampling effort required. In this study, we explored the effects of environmental features on the gene flow of a flying long-horned beetle (Monochamus galloprovincialis) using a landscape genetics approach. To account for the unknown scale of gene flow and the multiple local confounding effects of evolutionary history and landscape changes on inference, we developed a way of resampling study areas on multiple scales and in multiple locations (sliding windows) in a single large-scale sampling design. Landscape analyses were conducted in 3*104 study areas ranging in scale from 220 to 1,000 km and spread over 132 locations on the Iberian Peninsula. The resampling approach made it possible to identify the features affecting the gene flow of this species but also showed high variability in inference among the scales and the locations tested, independent of the variation in environmental features. This method provides an opportunity to explore the effects of environmental features on organism gene flow on the whole and reach conclusions about general landscape effects on their dispersal, while limiting the sampling effort to a reasonable level.
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Subjects: | L20 - Écologie animale, P01 - Conservation de la nature et ressources foncières, L60 - Taxonomie et géographie animales, http://aims.fao.org/aos/agrovoc/c_7273, http://aims.fao.org/aos/agrovoc/c_6124, http://aims.fao.org/aos/agrovoc/c_403, http://aims.fao.org/aos/agrovoc/c_3257, |
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dig-cirad-fr-5883062024-12-20T16:22:33Z http://agritrop.cirad.fr/588306/ http://agritrop.cirad.fr/588306/ Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species. Haran Julien, Rossi Jean-Pierre, Pajares Juan, Bonifacio Luis, Naves Pedro, Roques Alain, Roux Géraldine. 2017. PeerJ, 5:e4135, 26 p.https://doi.org/10.7717/peerj.4135 <https://doi.org/10.7717/peerj.4135> Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species Haran, Julien Rossi, Jean-Pierre Pajares, Juan Bonifacio, Luis Naves, Pedro Roques, Alain Roux, Géraldine eng 2017 PeerJ Ltd. PeerJ L20 - Écologie animale P01 - Conservation de la nature et ressources foncières L60 - Taxonomie et géographie animales Espagne Portugal Andorre Gibraltar http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_6124 http://aims.fao.org/aos/agrovoc/c_403 http://aims.fao.org/aos/agrovoc/c_3257 The use of multiple sampling areas in landscape genetic analysis has been recognized as a useful way of generalizing the patterns of environmental effects on organism gene flow. It reduces the variability in inference which can be substantially affected by the scale of the study area and its geographic location. However, empirical landscape genetic studies rarely consider multiple sampling areas due to the sampling effort required. In this study, we explored the effects of environmental features on the gene flow of a flying long-horned beetle (Monochamus galloprovincialis) using a landscape genetics approach. To account for the unknown scale of gene flow and the multiple local confounding effects of evolutionary history and landscape changes on inference, we developed a way of resampling study areas on multiple scales and in multiple locations (sliding windows) in a single large-scale sampling design. Landscape analyses were conducted in 3*104 study areas ranging in scale from 220 to 1,000 km and spread over 132 locations on the Iberian Peninsula. The resampling approach made it possible to identify the features affecting the gene flow of this species but also showed high variability in inference among the scales and the locations tested, independent of the variation in environmental features. This method provides an opportunity to explore the effects of environmental features on organism gene flow on the whole and reach conclusions about general landscape effects on their dispersal, while limiting the sampling effort to a reasonable level. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/588306/1/peerj-4135.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.7717/peerj.4135 10.7717/peerj.4135 info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.4135 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.7717/peerj.4135 |
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L20 - Écologie animale P01 - Conservation de la nature et ressources foncières L60 - Taxonomie et géographie animales http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_6124 http://aims.fao.org/aos/agrovoc/c_403 http://aims.fao.org/aos/agrovoc/c_3257 L20 - Écologie animale P01 - Conservation de la nature et ressources foncières L60 - Taxonomie et géographie animales http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_6124 http://aims.fao.org/aos/agrovoc/c_403 http://aims.fao.org/aos/agrovoc/c_3257 |
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L20 - Écologie animale P01 - Conservation de la nature et ressources foncières L60 - Taxonomie et géographie animales http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_6124 http://aims.fao.org/aos/agrovoc/c_403 http://aims.fao.org/aos/agrovoc/c_3257 L20 - Écologie animale P01 - Conservation de la nature et ressources foncières L60 - Taxonomie et géographie animales http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_6124 http://aims.fao.org/aos/agrovoc/c_403 http://aims.fao.org/aos/agrovoc/c_3257 Haran, Julien Rossi, Jean-Pierre Pajares, Juan Bonifacio, Luis Naves, Pedro Roques, Alain Roux, Géraldine Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species |
description |
The use of multiple sampling areas in landscape genetic analysis has been recognized as a useful way of generalizing the patterns of environmental effects on organism gene flow. It reduces the variability in inference which can be substantially affected by the scale of the study area and its geographic location. However, empirical landscape genetic studies rarely consider multiple sampling areas due to the sampling effort required. In this study, we explored the effects of environmental features on the gene flow of a flying long-horned beetle (Monochamus galloprovincialis) using a landscape genetics approach. To account for the unknown scale of gene flow and the multiple local confounding effects of evolutionary history and landscape changes on inference, we developed a way of resampling study areas on multiple scales and in multiple locations (sliding windows) in a single large-scale sampling design. Landscape analyses were conducted in 3*104 study areas ranging in scale from 220 to 1,000 km and spread over 132 locations on the Iberian Peninsula. The resampling approach made it possible to identify the features affecting the gene flow of this species but also showed high variability in inference among the scales and the locations tested, independent of the variation in environmental features. This method provides an opportunity to explore the effects of environmental features on organism gene flow on the whole and reach conclusions about general landscape effects on their dispersal, while limiting the sampling effort to a reasonable level. |
format |
article |
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L20 - Écologie animale P01 - Conservation de la nature et ressources foncières L60 - Taxonomie et géographie animales http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_6124 http://aims.fao.org/aos/agrovoc/c_403 http://aims.fao.org/aos/agrovoc/c_3257 |
author |
Haran, Julien Rossi, Jean-Pierre Pajares, Juan Bonifacio, Luis Naves, Pedro Roques, Alain Roux, Géraldine |
author_facet |
Haran, Julien Rossi, Jean-Pierre Pajares, Juan Bonifacio, Luis Naves, Pedro Roques, Alain Roux, Géraldine |
author_sort |
Haran, Julien |
title |
Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species |
title_short |
Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species |
title_full |
Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species |
title_fullStr |
Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species |
title_full_unstemmed |
Multi-scale and multi-site resampling of a study area in spatial genetics: Implications for flying insect species |
title_sort |
multi-scale and multi-site resampling of a study area in spatial genetics: implications for flying insect species |
publisher |
PeerJ Ltd. |
url |
http://agritrop.cirad.fr/588306/ http://agritrop.cirad.fr/588306/1/peerj-4135.pdf |
work_keys_str_mv |
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1819043724985892864 |