Does phylogeographical structure relate to climatic niche divergence? A test using maritime pine (Pinus pinaster Ait.)

Aim: To disentangle the effects of environmental and geographical processes driving phylogenetic distances among clades of maritime pine (Pinus pinaster). To assess the implications for conservation management of combining molecular information with species distribution models (SDMs; which predict s...

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Veröffentlicht in:Global ecology and biogeography 2015-11, Vol.24 (11), p.1302-1313
Hauptverfasser: Serra-Varela, M. J., Grivet, D., Vincenot, L., Broennimann, O., Gonzalo-Jiménez, J., Zimmermann, N. E.
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container_issue 11
container_start_page 1302
container_title Global ecology and biogeography
container_volume 24
creator Serra-Varela, M. J.
Grivet, D.
Vincenot, L.
Broennimann, O.
Gonzalo-Jiménez, J.
Zimmermann, N. E.
description Aim: To disentangle the effects of environmental and geographical processes driving phylogenetic distances among clades of maritime pine (Pinus pinaster). To assess the implications for conservation management of combining molecular information with species distribution models (SDMs; which predict species distribution based on known occurrence records and on environmental variables). Location: Western Mediterranean Basin and European Atlantic coast. Methods: We undertook two cluster analyses for eight genetically defined pine clades based on climatic niche and genetic similarities. We assessed niche similarity by means of a principal component analysis and Schoener's D metric. To calculate genetic similarity, we used the unweighted pair group method with arithmetic mean based on Nei's distance using 266 single nucleotide polymorphisms. We then assessed the contribution of environmental and geographical distances to phylogenetic distance by means of Mantel regression with variance partitioning. Finally, we compared the projection obtained from SDMs fitted from the species level (SDMsp) and composed from the eight clade-level models (SDMcm). Results: Genetically and environmentally defined clusters were identical. Environmental and geographical distances explained 12.6% of the phylogenetic distance variation and, overall, geographical and environmental overlap among clades was low. Large differences were detected between SDMsp and SDMcm (57.75% of disagreement in the areas predicted as suitable). Main conclusions: The genetic structure within the maritime pine subspecies complex is primarily a consequence of its demographic history, as seen by the high proportion of unexplained variation in phylogenetic distances. Nevertheless, our results highlight the contribution of local environmental adaptation in shaping the lower-order, phylogeographical distribution patterns and spatial genetic structure of maritime pine: (1) genetically and environmentally defined clusters are consistent, and (2) environment, rather than geography, explained a higher proportion of variation in phylogenetic distance. SDMs, key tools in conservation management, better characterize the fundamental niche of the species when they include molecular information.
doi_str_mv 10.1111/geb.12369
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A test using maritime pine (Pinus pinaster Ait.)</title><source>Jstor Complete Legacy</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Serra-Varela, M. J. ; Grivet, D. ; Vincenot, L. ; Broennimann, O. ; Gonzalo-Jiménez, J. ; Zimmermann, N. E.</creator><creatorcontrib>Serra-Varela, M. J. ; Grivet, D. ; Vincenot, L. ; Broennimann, O. ; Gonzalo-Jiménez, J. ; Zimmermann, N. E.</creatorcontrib><description>Aim: To disentangle the effects of environmental and geographical processes driving phylogenetic distances among clades of maritime pine (Pinus pinaster). To assess the implications for conservation management of combining molecular information with species distribution models (SDMs; which predict species distribution based on known occurrence records and on environmental variables). Location: Western Mediterranean Basin and European Atlantic coast. Methods: We undertook two cluster analyses for eight genetically defined pine clades based on climatic niche and genetic similarities. We assessed niche similarity by means of a principal component analysis and Schoener's D metric. To calculate genetic similarity, we used the unweighted pair group method with arithmetic mean based on Nei's distance using 266 single nucleotide polymorphisms. We then assessed the contribution of environmental and geographical distances to phylogenetic distance by means of Mantel regression with variance partitioning. Finally, we compared the projection obtained from SDMs fitted from the species level (SDMsp) and composed from the eight clade-level models (SDMcm). Results: Genetically and environmentally defined clusters were identical. Environmental and geographical distances explained 12.6% of the phylogenetic distance variation and, overall, geographical and environmental overlap among clades was low. Large differences were detected between SDMsp and SDMcm (57.75% of disagreement in the areas predicted as suitable). Main conclusions: The genetic structure within the maritime pine subspecies complex is primarily a consequence of its demographic history, as seen by the high proportion of unexplained variation in phylogenetic distances. Nevertheless, our results highlight the contribution of local environmental adaptation in shaping the lower-order, phylogeographical distribution patterns and spatial genetic structure of maritime pine: (1) genetically and environmentally defined clusters are consistent, and (2) environment, rather than geography, explained a higher proportion of variation in phylogenetic distance. 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Methods: We undertook two cluster analyses for eight genetically defined pine clades based on climatic niche and genetic similarities. We assessed niche similarity by means of a principal component analysis and Schoener's D metric. To calculate genetic similarity, we used the unweighted pair group method with arithmetic mean based on Nei's distance using 266 single nucleotide polymorphisms. We then assessed the contribution of environmental and geographical distances to phylogenetic distance by means of Mantel regression with variance partitioning. Finally, we compared the projection obtained from SDMs fitted from the species level (SDMsp) and composed from the eight clade-level models (SDMcm). Results: Genetically and environmentally defined clusters were identical. Environmental and geographical distances explained 12.6% of the phylogenetic distance variation and, overall, geographical and environmental overlap among clades was low. Large differences were detected between SDMsp and SDMcm (57.75% of disagreement in the areas predicted as suitable). Main conclusions: The genetic structure within the maritime pine subspecies complex is primarily a consequence of its demographic history, as seen by the high proportion of unexplained variation in phylogenetic distances. Nevertheless, our results highlight the contribution of local environmental adaptation in shaping the lower-order, phylogeographical distribution patterns and spatial genetic structure of maritime pine: (1) genetically and environmentally defined clusters are consistent, and (2) environment, rather than geography, explained a higher proportion of variation in phylogenetic distance. SDMs, key tools in conservation management, better characterize the fundamental niche of the species when they include molecular information.</description><subject>Bioclimatology</subject><subject>Biodiversity</subject><subject>Climate change</subject><subject>conservation</subject><subject>conservation biology</subject><subject>Ecology, environment</subject><subject>Evolution</subject><subject>genetics</subject><subject>infraspecies</subject><subject>Life Sciences</subject><subject>niche conservatism</subject><subject>Phylogenetics</subject><subject>Pinus</subject><subject>Pinus pinaster</subject><subject>Populations and Evolution</subject><subject>Principal components analysis</subject><subject>SDM</subject><subject>species distribution model</subject><issn>1466-822X</issn><issn>1466-8238</issn><issn>1466-822X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp1kc1u1DAUhSMEEqWw4AGQLLFpF5n6J47jFZqWMgUNvwLBzvIkNxkPnjjYTuns2PCiPAkeAoOEhDe-8vmO7XNvlj0keEbSOutgNSOUlfJWdkSKsswryqrbh5p-upvdC2GDMeYFL4-ym6cOAhrWO-s6cJ3Xw9rU2qIQ_VjH0QPyYHUEFB2qrdnqaGrUm3oNqDHX4Dvoa3iC5ihCiGgMpu_QVnsTzRbQYHpAJ29MP4Z9rUME_-Pb97mJs9P72Z1W2wAPfu_H2Ydnl-8vrvLl68Xzi_kyr7nkMm8AM8kbIkXVrBpZCE6JLAtWAKHApWzJKikMMC0LXTYtX4HgwAQpWikY1-w4O53uXWurBp8S-J1y2qir-VLtzzAlFUntuCaJPZnYwbsvYwqktibUYK3uwY1BEUFFKZOBJvTxP-jGjb5PSfYUZoQJTP8-XnsXgof28AOC1X5eKs1L_ZpXYs8m9quxsPs_qBaX538cjybHJkTnD46CVYJwgZOeT7pJjb856Np_VqVggquPrxbqZfWOLMjbSr1gPwE7t68I</recordid><startdate>201511</startdate><enddate>201511</enddate><creator>Serra-Varela, M. 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J.</creatorcontrib><creatorcontrib>Grivet, D.</creatorcontrib><creatorcontrib>Vincenot, L.</creatorcontrib><creatorcontrib>Broennimann, O.</creatorcontrib><creatorcontrib>Gonzalo-Jiménez, J.</creatorcontrib><creatorcontrib>Zimmermann, N. E.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Global ecology and biogeography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Serra-Varela, M. J.</au><au>Grivet, D.</au><au>Vincenot, L.</au><au>Broennimann, O.</au><au>Gonzalo-Jiménez, J.</au><au>Zimmermann, N. E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does phylogeographical structure relate to climatic niche divergence? A test using maritime pine (Pinus pinaster Ait.)</atitle><jtitle>Global ecology and biogeography</jtitle><addtitle>Global Ecology and Biogeography</addtitle><date>2015-11</date><risdate>2015</risdate><volume>24</volume><issue>11</issue><spage>1302</spage><epage>1313</epage><pages>1302-1313</pages><issn>1466-822X</issn><eissn>1466-8238</eissn><eissn>1466-822X</eissn><coden>GEBIFS</coden><abstract>Aim: To disentangle the effects of environmental and geographical processes driving phylogenetic distances among clades of maritime pine (Pinus pinaster). To assess the implications for conservation management of combining molecular information with species distribution models (SDMs; which predict species distribution based on known occurrence records and on environmental variables). Location: Western Mediterranean Basin and European Atlantic coast. Methods: We undertook two cluster analyses for eight genetically defined pine clades based on climatic niche and genetic similarities. We assessed niche similarity by means of a principal component analysis and Schoener's D metric. To calculate genetic similarity, we used the unweighted pair group method with arithmetic mean based on Nei's distance using 266 single nucleotide polymorphisms. We then assessed the contribution of environmental and geographical distances to phylogenetic distance by means of Mantel regression with variance partitioning. Finally, we compared the projection obtained from SDMs fitted from the species level (SDMsp) and composed from the eight clade-level models (SDMcm). Results: Genetically and environmentally defined clusters were identical. Environmental and geographical distances explained 12.6% of the phylogenetic distance variation and, overall, geographical and environmental overlap among clades was low. Large differences were detected between SDMsp and SDMcm (57.75% of disagreement in the areas predicted as suitable). Main conclusions: The genetic structure within the maritime pine subspecies complex is primarily a consequence of its demographic history, as seen by the high proportion of unexplained variation in phylogenetic distances. Nevertheless, our results highlight the contribution of local environmental adaptation in shaping the lower-order, phylogeographical distribution patterns and spatial genetic structure of maritime pine: (1) genetically and environmentally defined clusters are consistent, and (2) environment, rather than geography, explained a higher proportion of variation in phylogenetic distance. SDMs, key tools in conservation management, better characterize the fundamental niche of the species when they include molecular information.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/geb.12369</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
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source Jstor Complete Legacy; Wiley Online Library Journals Frontfile Complete
subjects Bioclimatology
Biodiversity
Climate change
conservation
conservation biology
Ecology, environment
Evolution
genetics
infraspecies
Life Sciences
niche conservatism
Phylogenetics
Pinus
Pinus pinaster
Populations and Evolution
Principal components analysis
SDM
species distribution model
title Does phylogeographical structure relate to climatic niche divergence? A test using maritime pine (Pinus pinaster Ait.)
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