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dc.contributor.authorCresswell, Will
dc.contributor.authorWinifred, Nanchin
dc.contributor.authorPatchett, Robert Brian
dc.date.accessioned2019-12-18T11:30:04Z
dc.date.available2019-12-18T11:30:04Z
dc.date.issued2019-12-17
dc.identifier.citationCresswell , W , Winifred , N & Patchett , R B 2019 , ' Local human population increase in the non-breeding areas of long-distance migrant bird species is only weakly associated with their declines, even for synanthropic species ' , Diversity and Distributions , vol. Early View . https://doi.org/10.1111/ddi.13006en
dc.identifier.issn1366-9516
dc.identifier.otherPURE: 262531098
dc.identifier.otherPURE UUID: c02d8692-ebe4-442f-aa10-15ea425329ec
dc.identifier.otherORCID: /0000-0002-4684-7624/work/66398331
dc.identifier.otherScopus: 85077072415
dc.identifier.otherWOS: 000502901800001
dc.identifier.urihttp://hdl.handle.net/10023/19155
dc.description.abstractAim : To show how recent declines in populations of long-distance migrant birds are associated with recent increases in human population growth and agricultural intensification on their tropical non-breeding grounds, except for synanthropic species, where we expect the reverse. Location : Breeding populations throughout Europe and North America spending the non-breeding season throughout Africa, and Central and South America, respectively. Methods : We mapped 50 species of long-distance migrant birds from published tagging studies of 126 breeding populations and identified their breeding population trends from 2000-2015 from published Country or State census data. We then matched individual bird non-breeding locations, from each population, to local human population change and crop yield data. We used GLMs to predict whether bird population decline was associated with human population change or crop yield and whether this was dependent on if a species was synanthropic or not, controlling for absolute human population density, breeding and non-breeding location, migratory distance and phylogeny. We predicted that bird populations that spend the non-breeding season in areas of recent higher human population increase or agricultural intensification (crop yield), would show greater declines, but that declines would be less for species that frequently utilize anthropogenic habitats such as secondary woodland and farmland. Results : Bird population change, even for synanthropic species, showed a significant negative relationship with relative human population change and crop yield (but this was weak, <2% and 6% of variance respectively), and this relationship was the same for the Neotropics and Africa, despite African human population change being three times larger. Main conclusions : The results suggest that local human population change in the non-breeding area is likely to be only a relatively minor driver of migrant declines, and its effects may be through increases in agricultural intensification reducing carrying capacity but we currently lack local studies to confirm this.
dc.language.isoeng
dc.relation.ispartofDiversity and Distributionsen
dc.rightsCopyright © 2019 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en
dc.subjectagricultural intensificationen
dc.subjectAnthropogenic effectsen
dc.subjectCrop yielden
dc.subjectMigrationen
dc.subjectPopulation declinesen
dc.subjectGE Environmental Sciencesen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccGEen
dc.subject.lccQH301en
dc.titleLocal human population increase in the non-breeding areas of long-distance migrant bird species is only weakly associated with their declines, even for synanthropic speciesen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews.St Andrews Sustainability Instituteen
dc.identifier.doihttps://doi.org/10.1111/ddi.13006
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-12-17


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