{"refrec":{"BRefID":355217,"RR":"<b>Kentie, R.; Shamoun-Baranes, J.; Spaans, A.L.; Camphuysen, C.J.</b> (2023). Spatial patterns in age‐ and colony‐specific survival in a long‐lived seabird across 14 contrasting colonies. <i>Ibis 165(1)</i>: 82-95. <a href=\"https://dx.doi.org/10.1111/ibi.13120\" target=\"_blank\">https://dx.doi.org/10.1111/ibi.13120</a>","BEntID":352930,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Ibis 165(1)</i>: 82-95. <a href=\"https://dx.doi.org/10.1111/ibi.13120\" target=\"_blank\">https://dx.doi.org/10.1111/ibi.13120</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Kentie, R.; Shamoun-Baranes, J.; Spaans, A.L.; Camphuysen, C.J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Kentie, R. <i>et al.</i>","Englishabstract":"<p>    Demographic rates such as recruitment and survival probability can vary    considerably among populations of the same species due to variation in    underlying environmental processes. If environmental processes are    spatially correlated, nearby populations are expected to have more similar    demographic rates than those further apart. Breeding populations and    foraging ranges are spatially segregated in colonial seabirds, making them    ideal for studying spatial patterns in demographic rates and their effects    on local population dynamics. Here we explored variation in age-dependentsurvival probabilities across 14 colonies of Herring Gulls    <em>Larus argentatus</em> breeding along the Dutch North Sea coast. We used    long-term mark–recapture data of marked fledglings to estimate survival,    and estimated spatial autocorrelation of survival probabilities. We    assessed whether survival until recruitment age or until 10 years old    (close to their expected lifespan) explained variation in population    trajectories of each colony. Juvenile and adult survival showed a strong,    but different, north-to-south gradient in survival probability, with lower    juvenile but higher adult survival in northern colonies than southern    colonies, whereas the spatial pattern of immature survival was less    distinct. Neither recruitment nor the proportion of 10-year-old adults    alive predicted whether a colony collapsed, declined, remained stable or    increased. The distinct spatial pattern in survival suggests variation in    regional food availability, which do not seem to drive local population    dynamics. The absence of a link between survival and colony trajectories    implies that connectivity between populations plays an important role    affecting population dynamics.</p>","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Spatial patterns in age‐ and colony‐specific survival in a long‐lived seabird across 14 contrasting colonies","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"demography; <i>Larus</i>; Moran’s <i>I</i>; population dynamics; spatially structured populations","OtherDescriptors":null,"Notes":null,"AnaPub":2023,"MonPub":null,"DateUpdate":"2022-12-14","DateCreate":"2022-08-29","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000838220600001","VABBcode":null,"OpenAcc":1,"DOI":"10.1111/ibi.13120"},"refs":null,"anarec":{"AnaID":355217,"PubliDate":2023,"Pagination":"82-95","XtraPublOfAnaID":null,"ISBN":null,"Volume":"165","Issue":"1","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":42951,"SerRR":"Ibis. 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