Quantifying individual specialization using tracking data: a case study on two species of albatrosses
Many predictive models of spatial and temporal distribution (e.g. in response to climate change or species introductions) assume that species have one environmental niche that applies to all individuals. However, there is growing evidence that individuals can have environmental preferences that are...
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description | Many predictive models of spatial and temporal distribution (e.g. in response to climate change or species introductions) assume that species have one environmental niche that applies to all individuals. However, there is growing evidence that individuals can have environmental preferences that are narrower than the species niche. Such individual specialization has mainly been studied in terms of dietary niches, but a recent increase in the availability of individual movement data opens the possibility of extending these analyses to specialisation in environmental preferences. Yet, no study to date on individual specialisation has considered the environmental niche in its multidimensionality. Here we propose a new method for quantifying individual specialisation in multiple dimensions simultaneously. We compare the hypervolumes in
n
-dimensional environmental niche space of each individual against that of the population, testing for significant differences against a null model. The same method can be applied to a 2-dimensional geographic space to test for site fidelity. We applied this method to test for individual environmental specialisation (across three dimensions: sea surface temperature, eddy kinetic energy, depth) and for site fidelity among satellite-tracked black-browed albatrosses (
Thalassarche melanophris
) and grey-headed albatrosses (
Thalassarche chrysostoma
), during chick-rearing at South Georgia. We found evidence for site fidelity in both species and of environmental specialisation among individual grey-headed but not black-browed albatrosses. Specialisation can affect the resilience of populations affected by natural and anthropogenic changes in the environment, and hence has implications for population dynamics and conservation. |
doi_str_mv | 10.1007/s00227-018-3408-x |
format | Article |
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n
-dimensional environmental niche space of each individual against that of the population, testing for significant differences against a null model. The same method can be applied to a 2-dimensional geographic space to test for site fidelity. We applied this method to test for individual environmental specialisation (across three dimensions: sea surface temperature, eddy kinetic energy, depth) and for site fidelity among satellite-tracked black-browed albatrosses (
Thalassarche melanophris
) and grey-headed albatrosses (
Thalassarche chrysostoma
), during chick-rearing at South Georgia. We found evidence for site fidelity in both species and of environmental specialisation among individual grey-headed but not black-browed albatrosses. Specialisation can affect the resilience of populations affected by natural and anthropogenic changes in the environment, and hence has implications for population dynamics and conservation.</description><identifier>ISSN: 0025-3162</identifier><identifier>EISSN: 1432-1793</identifier><identifier>DOI: 10.1007/s00227-018-3408-x</identifier><identifier>PMID: 30220735</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animal territoriality ; Anthropogenic changes ; Anthropogenic factors ; Biodiversity ; Biomedical and Life Sciences ; Bird communities ; Black-browed mollymawk ; Case studies ; Climate change ; Climate models ; Dimensions ; Dynamics ; Eddy kinetic energy ; Environmental changes ; Environmental testing ; Freshwater & Marine Ecology ; Habitat selection ; Individual rearing ; Introduced species ; Kinetic energy ; Life Sciences ; Marine & Freshwater Sciences ; Marine biology ; Methods ; Microbiology ; Niches ; Niches (Ecology) ; Oceanography ; Original Paper ; Population dynamics ; Prediction models ; Satellite tracking ; Satellites ; Sea surface ; Sea surface temperature ; Seabirds ; Site fidelity ; Specialization ; Species ; Temporal distribution ; Two dimensional models ; Zoology</subject><ispartof>Marine biology, 2018-10, Vol.165 (10), p.152-15, Article 152</ispartof><rights>The Author(s) 2018</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Marine Biology is a copyright of Springer, (2018). All Rights Reserved. © 2018. 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><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c609t-6c597eab29ab2d207188f2e1452b66e5b53f52f5d9530da4a0d47db4ffddafe13</citedby><cites>FETCH-LOGICAL-c609t-6c597eab29ab2d207188f2e1452b66e5b53f52f5d9530da4a0d47db4ffddafe13</cites><orcidid>0000-0002-7587-615X ; 0000-0003-4775-0127 ; 0000-0003-1895-450X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00227-018-3408-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00227-018-3408-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30220735$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02383484$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Bonnet-Lebrun, A.-S.</creatorcontrib><creatorcontrib>Phillips, R. A.</creatorcontrib><creatorcontrib>Manica, A.</creatorcontrib><creatorcontrib>Rodrigues, A. S. L.</creatorcontrib><title>Quantifying individual specialization using tracking data: a case study on two species of albatrosses</title><title>Marine biology</title><addtitle>Mar Biol</addtitle><addtitle>Mar Biol</addtitle><description>Many predictive models of spatial and temporal distribution (e.g. in response to climate change or species introductions) assume that species have one environmental niche that applies to all individuals. However, there is growing evidence that individuals can have environmental preferences that are narrower than the species niche. Such individual specialization has mainly been studied in terms of dietary niches, but a recent increase in the availability of individual movement data opens the possibility of extending these analyses to specialisation in environmental preferences. Yet, no study to date on individual specialisation has considered the environmental niche in its multidimensionality. Here we propose a new method for quantifying individual specialisation in multiple dimensions simultaneously. We compare the hypervolumes in
n
-dimensional environmental niche space of each individual against that of the population, testing for significant differences against a null model. The same method can be applied to a 2-dimensional geographic space to test for site fidelity. We applied this method to test for individual environmental specialisation (across three dimensions: sea surface temperature, eddy kinetic energy, depth) and for site fidelity among satellite-tracked black-browed albatrosses (
Thalassarche melanophris
) and grey-headed albatrosses (
Thalassarche chrysostoma
), during chick-rearing at South Georgia. We found evidence for site fidelity in both species and of environmental specialisation among individual grey-headed but not black-browed albatrosses. Specialisation can affect the resilience of populations affected by natural and anthropogenic changes in the environment, and hence has implications for population dynamics and conservation.</description><subject>Animal territoriality</subject><subject>Anthropogenic changes</subject><subject>Anthropogenic factors</subject><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Bird communities</subject><subject>Black-browed mollymawk</subject><subject>Case studies</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Dimensions</subject><subject>Dynamics</subject><subject>Eddy kinetic energy</subject><subject>Environmental changes</subject><subject>Environmental testing</subject><subject>Freshwater & Marine Ecology</subject><subject>Habitat selection</subject><subject>Individual rearing</subject><subject>Introduced species</subject><subject>Kinetic energy</subject><subject>Life Sciences</subject><subject>Marine & Freshwater Sciences</subject><subject>Marine biology</subject><subject>Methods</subject><subject>Microbiology</subject><subject>Niches</subject><subject>Niches (Ecology)</subject><subject>Oceanography</subject><subject>Original Paper</subject><subject>Population dynamics</subject><subject>Prediction models</subject><subject>Satellite tracking</subject><subject>Satellites</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Seabirds</subject><subject>Site fidelity</subject><subject>Specialization</subject><subject>Species</subject><subject>Temporal distribution</subject><subject>Two dimensional models</subject><subject>Zoology</subject><issn>0025-3162</issn><issn>1432-1793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>C6C</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>eNp1kltv1DAQhSMEotvCD-AFReKFPqT4mgsPlVYVUKSVEBI8W5N4vHXJ2kucLF1-PbZSWlotiqI4nu-ccSYny15RckYJqd4FQhirCkLrggtSFzdPsgUVnBW0avjTbBHLsuC0ZEfZcQjXJL5XjD_PjnjUkYrLRYZfJ3CjNXvr1rl12u6snqDPwxY7C739DaP1Lp9Cqo8DdD_SQsMI73PIOwiYh3HS-zxC4y8_6zDk3uTQtzAOPgQML7JnBvqAL2-fJ9n3jx--XVwWqy-fPl8sV0VXkmYsyk42FULLmnjreEJa14YhFZK1ZYmyldxIZqRuJCcaBBAtKt0KY7QGg5SfZOez73ZqN6g7dPHIvdoOdgPDXnmw6mHF2Su19jtVUs6kENHgdDa4eiS7XK5U2iOM11zUYpeavb1tNvifE4ZRbWzosO_BoZ-CYpTU0ZQxFtE3j9BrPw0ujiJRpCkbTpp7ag09KuuMTwNPpmopJZcla2hqWxyg1ugwfpB3aGzcfsCfHeDjpXFju4MCOgu69PMGNHeDoESl3Kk5dyrmTqXcqZuoef3v4O8Uf4MWATYDIZbcGof7Cfzf9Q8TcuLj</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>Bonnet-Lebrun, A.-S.</creator><creator>Phillips, R. 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A.</au><au>Manica, A.</au><au>Rodrigues, A. S. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying individual specialization using tracking data: a case study on two species of albatrosses</atitle><jtitle>Marine biology</jtitle><stitle>Mar Biol</stitle><addtitle>Mar Biol</addtitle><date>2018-10-01</date><risdate>2018</risdate><volume>165</volume><issue>10</issue><spage>152</spage><epage>15</epage><pages>152-15</pages><artnum>152</artnum><issn>0025-3162</issn><eissn>1432-1793</eissn><abstract>Many predictive models of spatial and temporal distribution (e.g. in response to climate change or species introductions) assume that species have one environmental niche that applies to all individuals. However, there is growing evidence that individuals can have environmental preferences that are narrower than the species niche. Such individual specialization has mainly been studied in terms of dietary niches, but a recent increase in the availability of individual movement data opens the possibility of extending these analyses to specialisation in environmental preferences. Yet, no study to date on individual specialisation has considered the environmental niche in its multidimensionality. Here we propose a new method for quantifying individual specialisation in multiple dimensions simultaneously. We compare the hypervolumes in
n
-dimensional environmental niche space of each individual against that of the population, testing for significant differences against a null model. The same method can be applied to a 2-dimensional geographic space to test for site fidelity. We applied this method to test for individual environmental specialisation (across three dimensions: sea surface temperature, eddy kinetic energy, depth) and for site fidelity among satellite-tracked black-browed albatrosses (
Thalassarche melanophris
) and grey-headed albatrosses (
Thalassarche chrysostoma
), during chick-rearing at South Georgia. We found evidence for site fidelity in both species and of environmental specialisation among individual grey-headed but not black-browed albatrosses. Specialisation can affect the resilience of populations affected by natural and anthropogenic changes in the environment, and hence has implications for population dynamics and conservation.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30220735</pmid><doi>10.1007/s00227-018-3408-x</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-7587-615X</orcidid><orcidid>https://orcid.org/0000-0003-4775-0127</orcidid><orcidid>https://orcid.org/0000-0003-1895-450X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animal territoriality Anthropogenic changes Anthropogenic factors Biodiversity Biomedical and Life Sciences Bird communities Black-browed mollymawk Case studies Climate change Climate models Dimensions Dynamics Eddy kinetic energy Environmental changes Environmental testing Freshwater & Marine Ecology Habitat selection Individual rearing Introduced species Kinetic energy Life Sciences Marine & Freshwater Sciences Marine biology Methods Microbiology Niches Niches (Ecology) Oceanography Original Paper Population dynamics Prediction models Satellite tracking Satellites Sea surface Sea surface temperature Seabirds Site fidelity Specialization Species Temporal distribution Two dimensional models Zoology |
title | Quantifying individual specialization using tracking data: a case study on two species of albatrosses |
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