Contrasting patterns of population structure at large and fine geographical scales in a migratory avian disturbance specialist of braided river ecosystems
Aim To understand the population structure and its potential drivers at different spatial scales in a migratory bird, the black‐fronted tern (Chlidonias albostriatus), a specialist of the spatially and temporally dynamic environments of braided rivers. Location New Zealand. Methods We used a three‐p...
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creator | Schlesselmann, Ann-Kathrin V. Dussex, Nicolas Cooper, Jamie Monks, Joanne M. O'Donnell, Colin F. J. Robertson, Bruce C. |
description | Aim
To understand the population structure and its potential drivers at different spatial scales in a migratory bird, the black‐fronted tern (Chlidonias albostriatus), a specialist of the spatially and temporally dynamic environments of braided rivers.
Location
New Zealand.
Methods
We used a three‐pronged approach based on 17 microsatellites, two mitochondrial loci (cytochrome b/control region) and phenotypic data (head‐bill length, bill depth, wing length, weight). We determined large‐scale genetic structure throughout the whole breeding range (approx. 150,000 km2), calculated genetic divergence of breeding colonies and tested for isolation‐by‐distance between colonies. We investigated the level of fine‐scale genetic structure based on spatial autocorrelation analyses and assessed the presence of a body size cline based on phenotypic data. Lastly, we compared phenotypic divergence (PST) and the level of divergence by genetic drift (FST) among breeding colonies to test for underlying mechanisms of population differentiation.
Results
Nuclear and mitochondrial DNA showed that across their range black‐fronted terns were effectively panmictic, with low genetic divergence between breeding colonies overall and no isolation‐by‐distance. However, at fine geographical scales black‐fronted terns accrued significant genetic structure for distances up to 75 km, primarily driven by males, indicating more frequent female dispersal. Furthermore, a phenotypic cline in accordance with Bergmann's rule was evident. PST exceeded FST in three traits, suggestive of local adaptation.
Main conclusions
Significant fine‐scale structure can be present in highly mobile, specialist species while not affecting spatial structures at larger scales. Hence, methodologies applied to both whole landscapes and local scales are important to appropriately estimate connectivity in dynamic metapopulations and investigate the processes behind connectivity. Conservation management will need to include protecting currently uninhabited patches to facilitate natural colonization of suitable habitat. For black‐fronted terns, managing whole catchments throughout the entire breeding range would be preferable to managing single patches. |
doi_str_mv | 10.1111/ddi.12994 |
format | Article |
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To understand the population structure and its potential drivers at different spatial scales in a migratory bird, the black‐fronted tern (Chlidonias albostriatus), a specialist of the spatially and temporally dynamic environments of braided rivers.
Location
New Zealand.
Methods
We used a three‐pronged approach based on 17 microsatellites, two mitochondrial loci (cytochrome b/control region) and phenotypic data (head‐bill length, bill depth, wing length, weight). We determined large‐scale genetic structure throughout the whole breeding range (approx. 150,000 km2), calculated genetic divergence of breeding colonies and tested for isolation‐by‐distance between colonies. We investigated the level of fine‐scale genetic structure based on spatial autocorrelation analyses and assessed the presence of a body size cline based on phenotypic data. Lastly, we compared phenotypic divergence (PST) and the level of divergence by genetic drift (FST) among breeding colonies to test for underlying mechanisms of population differentiation.
Results
Nuclear and mitochondrial DNA showed that across their range black‐fronted terns were effectively panmictic, with low genetic divergence between breeding colonies overall and no isolation‐by‐distance. However, at fine geographical scales black‐fronted terns accrued significant genetic structure for distances up to 75 km, primarily driven by males, indicating more frequent female dispersal. Furthermore, a phenotypic cline in accordance with Bergmann's rule was evident. PST exceeded FST in three traits, suggestive of local adaptation.
Main conclusions
Significant fine‐scale structure can be present in highly mobile, specialist species while not affecting spatial structures at larger scales. Hence, methodologies applied to both whole landscapes and local scales are important to appropriately estimate connectivity in dynamic metapopulations and investigate the processes behind connectivity. Conservation management will need to include protecting currently uninhabited patches to facilitate natural colonization of suitable habitat. For black‐fronted terns, managing whole catchments throughout the entire breeding range would be preferable to managing single patches.</description><identifier>ISSN: 1366-9516</identifier><identifier>EISSN: 1472-4642</identifier><identifier>DOI: 10.1111/ddi.12994</identifier><language>eng</language><publisher>Oxford: Wiley</publisher><subject>Adaptation ; Animal behavior ; Aquatic ecosystems ; Bergmann's rule ; BIODIVERSITY RESEARCH ; Birds ; black‐fronted tern ; Body size ; Braiding ; Breeding ; Catchments ; Chlidonias ; Colonies ; Colonization ; Cytochrome ; Cytochrome b ; Cytochromes ; Deoxyribonucleic acid ; Depth perception ; Dispersal ; Divergence ; DNA ; Ecosystems ; Endangered & extinct species ; ephemeral ; Extinction ; Extinction (Biology) ; Genetic analysis ; Genetic drift ; Genetic structure ; habitat tracking ; Habitats ; Males ; metapopulation ; Metapopulations ; Microsatellites ; migratory ; Migratory birds ; Mitochondrial DNA ; morphometric ; Population ; Population differentiation ; Population structure ; PST–FST comparison ; River ecology ; Rivers ; Spatial analysis ; spatial autocorrelation</subject><ispartof>Diversity & distributions, 2020-01, Vol.26 (1), p.16-33</ispartof><rights>2019 The Authors</rights><rights>2019 The Authors. published by John Wiley & Sons Ltd</rights><rights>COPYRIGHT 2019 John Wiley & Sons, Inc.</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3934-2b69d157889a15e26700543abd535b598f26caf241d34d8ef4bd421a61967d873</citedby><cites>FETCH-LOGICAL-c3934-2b69d157889a15e26700543abd535b598f26caf241d34d8ef4bd421a61967d873</cites><orcidid>0000-0002-7014-6174 ; 0000-0002-5348-2731 ; 0000-0002-9179-8593 ; 0000-0001-9391-380X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26828511$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26828511$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,864,1416,11561,25353,27923,27924,45573,45574,46051,46475,54523,54529</link.rule.ids><linktorsrc>$$Uhttps://www.jstor.org/stable/26828511$$EView_record_in_JSTOR$$FView_record_in_$$GJSTOR</linktorsrc></links><search><contributor>Burns, K. C.</contributor><creatorcontrib>Schlesselmann, Ann-Kathrin V.</creatorcontrib><creatorcontrib>Dussex, Nicolas</creatorcontrib><creatorcontrib>Cooper, Jamie</creatorcontrib><creatorcontrib>Monks, Joanne M.</creatorcontrib><creatorcontrib>O'Donnell, Colin F. J.</creatorcontrib><creatorcontrib>Robertson, Bruce C.</creatorcontrib><title>Contrasting patterns of population structure at large and fine geographical scales in a migratory avian disturbance specialist of braided river ecosystems</title><title>Diversity & distributions</title><description>Aim
To understand the population structure and its potential drivers at different spatial scales in a migratory bird, the black‐fronted tern (Chlidonias albostriatus), a specialist of the spatially and temporally dynamic environments of braided rivers.
Location
New Zealand.
Methods
We used a three‐pronged approach based on 17 microsatellites, two mitochondrial loci (cytochrome b/control region) and phenotypic data (head‐bill length, bill depth, wing length, weight). We determined large‐scale genetic structure throughout the whole breeding range (approx. 150,000 km2), calculated genetic divergence of breeding colonies and tested for isolation‐by‐distance between colonies. We investigated the level of fine‐scale genetic structure based on spatial autocorrelation analyses and assessed the presence of a body size cline based on phenotypic data. Lastly, we compared phenotypic divergence (PST) and the level of divergence by genetic drift (FST) among breeding colonies to test for underlying mechanisms of population differentiation.
Results
Nuclear and mitochondrial DNA showed that across their range black‐fronted terns were effectively panmictic, with low genetic divergence between breeding colonies overall and no isolation‐by‐distance. However, at fine geographical scales black‐fronted terns accrued significant genetic structure for distances up to 75 km, primarily driven by males, indicating more frequent female dispersal. Furthermore, a phenotypic cline in accordance with Bergmann's rule was evident. PST exceeded FST in three traits, suggestive of local adaptation.
Main conclusions
Significant fine‐scale structure can be present in highly mobile, specialist species while not affecting spatial structures at larger scales. Hence, methodologies applied to both whole landscapes and local scales are important to appropriately estimate connectivity in dynamic metapopulations and investigate the processes behind connectivity. Conservation management will need to include protecting currently uninhabited patches to facilitate natural colonization of suitable habitat. For black‐fronted terns, managing whole catchments throughout the entire breeding range would be preferable to managing single patches.</description><subject>Adaptation</subject><subject>Animal behavior</subject><subject>Aquatic ecosystems</subject><subject>Bergmann's rule</subject><subject>BIODIVERSITY RESEARCH</subject><subject>Birds</subject><subject>black‐fronted tern</subject><subject>Body size</subject><subject>Braiding</subject><subject>Breeding</subject><subject>Catchments</subject><subject>Chlidonias</subject><subject>Colonies</subject><subject>Colonization</subject><subject>Cytochrome</subject><subject>Cytochrome b</subject><subject>Cytochromes</subject><subject>Deoxyribonucleic acid</subject><subject>Depth perception</subject><subject>Dispersal</subject><subject>Divergence</subject><subject>DNA</subject><subject>Ecosystems</subject><subject>Endangered & extinct species</subject><subject>ephemeral</subject><subject>Extinction</subject><subject>Extinction (Biology)</subject><subject>Genetic analysis</subject><subject>Genetic drift</subject><subject>Genetic structure</subject><subject>habitat tracking</subject><subject>Habitats</subject><subject>Males</subject><subject>metapopulation</subject><subject>Metapopulations</subject><subject>Microsatellites</subject><subject>migratory</subject><subject>Migratory birds</subject><subject>Mitochondrial DNA</subject><subject>morphometric</subject><subject>Population</subject><subject>Population differentiation</subject><subject>Population structure</subject><subject>PST–FST comparison</subject><subject>River ecology</subject><subject>Rivers</subject><subject>Spatial analysis</subject><subject>spatial autocorrelation</subject><issn>1366-9516</issn><issn>1472-4642</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1Uctq3DAUNaWBpkkX_YCCoKsuPLGelpZh0kcg0E2yNtd6uBo8kivJKfMr_dpq6ra7SqB7OZxzLrqnad7ibofruTHG7zBRir1oLjHrScsEIy9rT4VoFcfiVfM650PXdZRyctn83MdQEuTiw4QWKMWmkFF0aInLOkPxMaBc0qrLmiyCgmZIU22CQc4HiyYbpwTLN69hRrk-NiMfEKCjr3iJ6YTg2UNAxudqMULQFuXFag9zRc6TxgTeWIOSf7YJWR3zKRd7zNfNhYM52zd_6lXz9Onj4_5L-_D18_3-9qHVVFHWklEog3kvpQLMLRF913FGYTSc8pEr6YjQ4AjDhjIjrWOjYQSDwEr0Rvb0qnm_-S4pfl9tLsMhrinUkQOhTFApmJKVtdtYU_3j4IOLdW26XmOPXsdgna_4bY-7nlNGz4IPm0CnmHOybliSP0I6DbgbzlkNNavhd1aVe7Nxf1ST0_-Jw93d_V_Fu01xyHXJ_xRESCI5xvQXexah1A</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Schlesselmann, Ann-Kathrin V.</creator><creator>Dussex, Nicolas</creator><creator>Cooper, Jamie</creator><creator>Monks, Joanne M.</creator><creator>O'Donnell, Colin F. J.</creator><creator>Robertson, Bruce C.</creator><general>Wiley</general><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-7014-6174</orcidid><orcidid>https://orcid.org/0000-0002-5348-2731</orcidid><orcidid>https://orcid.org/0000-0002-9179-8593</orcidid><orcidid>https://orcid.org/0000-0001-9391-380X</orcidid></search><sort><creationdate>202001</creationdate><title>Contrasting patterns of population structure at large and fine geographical scales in a migratory avian disturbance specialist of braided river ecosystems</title><author>Schlesselmann, Ann-Kathrin V. ; Dussex, Nicolas ; Cooper, Jamie ; Monks, Joanne M. ; O'Donnell, Colin F. J. ; Robertson, Bruce C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3934-2b69d157889a15e26700543abd535b598f26caf241d34d8ef4bd421a61967d873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptation</topic><topic>Animal behavior</topic><topic>Aquatic ecosystems</topic><topic>Bergmann's rule</topic><topic>BIODIVERSITY RESEARCH</topic><topic>Birds</topic><topic>black‐fronted tern</topic><topic>Body size</topic><topic>Braiding</topic><topic>Breeding</topic><topic>Catchments</topic><topic>Chlidonias</topic><topic>Colonies</topic><topic>Colonization</topic><topic>Cytochrome</topic><topic>Cytochrome b</topic><topic>Cytochromes</topic><topic>Deoxyribonucleic acid</topic><topic>Depth perception</topic><topic>Dispersal</topic><topic>Divergence</topic><topic>DNA</topic><topic>Ecosystems</topic><topic>Endangered & extinct species</topic><topic>ephemeral</topic><topic>Extinction</topic><topic>Extinction (Biology)</topic><topic>Genetic analysis</topic><topic>Genetic drift</topic><topic>Genetic structure</topic><topic>habitat tracking</topic><topic>Habitats</topic><topic>Males</topic><topic>metapopulation</topic><topic>Metapopulations</topic><topic>Microsatellites</topic><topic>migratory</topic><topic>Migratory birds</topic><topic>Mitochondrial DNA</topic><topic>morphometric</topic><topic>Population</topic><topic>Population differentiation</topic><topic>Population structure</topic><topic>PST–FST comparison</topic><topic>River ecology</topic><topic>Rivers</topic><topic>Spatial analysis</topic><topic>spatial autocorrelation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schlesselmann, Ann-Kathrin V.</creatorcontrib><creatorcontrib>Dussex, Nicolas</creatorcontrib><creatorcontrib>Cooper, Jamie</creatorcontrib><creatorcontrib>Monks, Joanne M.</creatorcontrib><creatorcontrib>O'Donnell, Colin F. J.</creatorcontrib><creatorcontrib>Robertson, Bruce C.</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Diversity & distributions</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Schlesselmann, Ann-Kathrin V.</au><au>Dussex, Nicolas</au><au>Cooper, Jamie</au><au>Monks, Joanne M.</au><au>O'Donnell, Colin F. J.</au><au>Robertson, Bruce C.</au><au>Burns, K. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contrasting patterns of population structure at large and fine geographical scales in a migratory avian disturbance specialist of braided river ecosystems</atitle><jtitle>Diversity & distributions</jtitle><date>2020-01</date><risdate>2020</risdate><volume>26</volume><issue>1</issue><spage>16</spage><epage>33</epage><pages>16-33</pages><issn>1366-9516</issn><eissn>1472-4642</eissn><abstract>Aim
To understand the population structure and its potential drivers at different spatial scales in a migratory bird, the black‐fronted tern (Chlidonias albostriatus), a specialist of the spatially and temporally dynamic environments of braided rivers.
Location
New Zealand.
Methods
We used a three‐pronged approach based on 17 microsatellites, two mitochondrial loci (cytochrome b/control region) and phenotypic data (head‐bill length, bill depth, wing length, weight). We determined large‐scale genetic structure throughout the whole breeding range (approx. 150,000 km2), calculated genetic divergence of breeding colonies and tested for isolation‐by‐distance between colonies. We investigated the level of fine‐scale genetic structure based on spatial autocorrelation analyses and assessed the presence of a body size cline based on phenotypic data. Lastly, we compared phenotypic divergence (PST) and the level of divergence by genetic drift (FST) among breeding colonies to test for underlying mechanisms of population differentiation.
Results
Nuclear and mitochondrial DNA showed that across their range black‐fronted terns were effectively panmictic, with low genetic divergence between breeding colonies overall and no isolation‐by‐distance. However, at fine geographical scales black‐fronted terns accrued significant genetic structure for distances up to 75 km, primarily driven by males, indicating more frequent female dispersal. Furthermore, a phenotypic cline in accordance with Bergmann's rule was evident. PST exceeded FST in three traits, suggestive of local adaptation.
Main conclusions
Significant fine‐scale structure can be present in highly mobile, specialist species while not affecting spatial structures at larger scales. Hence, methodologies applied to both whole landscapes and local scales are important to appropriately estimate connectivity in dynamic metapopulations and investigate the processes behind connectivity. Conservation management will need to include protecting currently uninhabited patches to facilitate natural colonization of suitable habitat. For black‐fronted terns, managing whole catchments throughout the entire breeding range would be preferable to managing single patches.</abstract><cop>Oxford</cop><pub>Wiley</pub><doi>10.1111/ddi.12994</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-7014-6174</orcidid><orcidid>https://orcid.org/0000-0002-5348-2731</orcidid><orcidid>https://orcid.org/0000-0002-9179-8593</orcidid><orcidid>https://orcid.org/0000-0001-9391-380X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation Animal behavior Aquatic ecosystems Bergmann's rule BIODIVERSITY RESEARCH Birds black‐fronted tern Body size Braiding Breeding Catchments Chlidonias Colonies Colonization Cytochrome Cytochrome b Cytochromes Deoxyribonucleic acid Depth perception Dispersal Divergence DNA Ecosystems Endangered & extinct species ephemeral Extinction Extinction (Biology) Genetic analysis Genetic drift Genetic structure habitat tracking Habitats Males metapopulation Metapopulations Microsatellites migratory Migratory birds Mitochondrial DNA morphometric Population Population differentiation Population structure PST–FST comparison River ecology Rivers Spatial analysis spatial autocorrelation |
title | Contrasting patterns of population structure at large and fine geographical scales in a migratory avian disturbance specialist of braided river ecosystems |
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