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Revision as of 12:49, 26 August 2024 by Sky (talk | contribs) (Created page with "{ "USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Shared functional traits explain synchronous changes in long\u2010term count trends of migratory raptors", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70219488", "url": "https://pubs.usgs.gov/publication/70219488"...")
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{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Shared functional traits explain synchronous changes in long\u2010term count trends of migratory raptors",
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       "value": "70219488",
       "url": "https://pubs.usgs.gov/publication/70219488"
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       "value": "10.1111/geb.13242",
       "url": "https://doi.org/10.1111/geb.13242"
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   ],
   "journal": {
     "@type": "Periodical",
     "name": "Global Ecology and Biogeography",
     "volumeNumber": "30",
     "issueNumber": "3"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "Global Ecology and Biogeography"
     }
   ],
   "datePublished": "2021",
   "dateModified": "2021-10-26",
   "abstract": "AimAssessing long\u2010term shifts in faunal assemblages is important to understand the consequences of ongoing global environmental change. One approach to assess drivers of assemblage changes is to identify the traits associated with synchronous shifts in count trends among species. Our research identified traits influencing trends in 73\u00a0years of count data on migrating raptors recorded in the north\u2010eastern USA.LocationPennsylvania, USA.Time period1946\u20132018.Major taxa studiedBirds of prey/raptors.MethodsMigrating raptors were counted during autumn, following a standardized protocol. We used a hierarchical breakpoint model to identify when count trends shifted and to assess the role of traits in driving these trends before and after the breakpoint. Specifically, we quantified the probability of the direction (PD) of an effect of body mass, habitat or dietary specialization, migratory behaviour and susceptibility to dichlorodiphenyltrichloroethane (DDT) on count trends.ResultsWe documented an assemblage\u2010wide mean shift in count trends of migrating raptors in 1974. In general, species that exhibited negative count trends before the breakpoint exhibited positive count trends afterwards. We found that traits associated with resource use (diet and habitat specialization) had high probabilities of affecting count trends, pre\u2010 and post\u2010breakpoint (>\u00a090%). Moreover, the direction of their effects differed during both periods. Unexpectedly, other traits we evaluated, including DDT susceptibility, had relatively weaker associations with count trends.Main conclusionsTrait\u2010based frameworks have promise for testing generalized assumptions about drivers of population trajectories. Historically, DDT was considered a key driver of changes in raptor population trends. However, our analysis suggests that other factors were also relevant. Moreover, the positive association between count trends and generalist behaviour depended on the temporal context. This result has implications for other settings where demographic trends can be linked to traits and help to identify drivers of biodiversity change.",
   "description": "11 p.",
   "publisher": {
     "@type": "Organization",
     "name": "Wiley"
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   "author": [
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       "@type": "Person",
       "name": "Katzner, Todd E. tkatzner@usgs.gov",
       "givenName": "Todd E.",
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           "name": "Forest and Rangeland Ecosystem Science Center",
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       "name": "Caughlin, Trevor",
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           "name": "Boise State University"
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       "name": "Zaiats, Andrii",
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           "name": "Boise State University"
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       "name": "Goodrich, Laurie J.",
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       "givenName": "Keith L.",
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       "name": "Dumandan, Patricia Kaye T.",
       "givenName": "Patricia Kaye T.",
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}

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