<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-23T05:38:54Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/275584" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/275584</identifier><datestamp>2021-04-21T17:53:47Z</datestamp><setSpec>com_1810_219480</setSpec><setSpec>com_1810_256062</setSpec><setSpec>col_1810_219489</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Intraspecific variation in environmental and geographic space use: insights from individual movement data</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">10.17863/CAM.22826</dc:identifier>
   <dc:creator>Bonnet-Lebrun, Anne-Sophie</dc:creator>
   <uketdterms:authoridentifier xsi:type="uketdterms:ORCID">000000027587615X</uketdterms:authoridentifier>
   <uketdterms:advisor>Manica, Andrea</uketdterms:advisor>
   <uketdterms:authoridentifier xsi:type="uketdterms:ORCID">000000031895450X</uketdterms:authoridentifier>
   <uketdterms:advisor>Rodrigues, Ana Sofia Luis</uketdterms:advisor>
   <dcterms:abstract>Species’ ranges arise from the interplay between environmental preferences, biotic and abiotic environmental conditions, and accessibility. Understanding of – and predictive models on – species distributions often build from the assumption that these factors apply homogenously within each species, but there is growing evidence for individual variation. Here, I use movement data to investigate individual-level decisions and compromises regarding the different costs and benefits influencing individuals’ geographic locations, and the species-level spatial patterns that emerge from these.
I first developed a new method that uses tracking data to quantify individual specialisation in geographic space (site fidelity) or in environmental space (environmental specialisation). Applying it to two species of albatrosses, I found evidence of site fidelity but weak environmental specialisation. My results have implications for how limited research efforts are best-targeted: if animals are generalists, effort are best spent by understanding in depth individual patterns, i.e., better to track fewer individuals for long periods of time; whereas if animals tend to be specialists, efforts should be dedicated to tracking as many individuals as possible, even if for shorter periods.
I then investigated individual migratory strategies and their drivers in nine North American bird species, using ringing/recovery data. I found latitudinal redistribution of individuals within the breeding and non-breeding ranges that generally did not follow textbook patterns (‘chain migration’ or ‘leapfrog migration’). Migratory individuals tend to trade off the benefits of migration (better tracking of climatic niche; better access to resources) and its costs (increasing with migratory distance). I found that birds are more likely to remain as residents in areas with warmer winter temperatures, higher summer resource surpluses and higher human population densities (presumably because of a buffering effect of urban areas). 
Overall, my results highlight the importance of considering individual variation to understanding the ecological processes underpinning species’ spatial patterns.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2018-03-05</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <dc:language>en</dc:language>
   <uketdterms:sponsor>St John's College Benefactors' Scholarship
Cambridge Philosophical Society</uketdterms:sponsor>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/275584</dcterms:isReferencedBy>
   <dcterms:license>https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/7f67c0c8-121e-453a-9a0f-96c2d537fb5a/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:identifier xsi:type="dcterms:URI">https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/489a5264-18ce-4c93-8d43-9401fe13ea60/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">d115b9782c2933bff1704422e2d80f1a</uketdterms:checksum>
   <dc:rights>https://www.rioxx.net/licenses/all-rights-reserved/</dc:rights>
   <dc:subject>migration</dc:subject>
   <dc:subject>birds</dc:subject>
   <dc:subject>individual variability</dc:subject>
   <dc:subject>foraging strategies</dc:subject>
   <dc:subject>space use</dc:subject>
   <dc:subject>individual specialisation</dc:subject>
   <dc:subject>site fidelity</dc:subject>
   <dc:subject>residency</dc:subject>
   <dc:subject>migration patterns</dc:subject>
   <dc:subject>tracking data</dc:subject>
   <dc:subject>ringing data</dc:subject>
   <dc:subject>movement</dc:subject>
   <dc:subject>ecology</dc:subject>
</uketd_dc:uketddc>
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