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  "code": "7b.b.gc",
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  "code": "7b.b.gc",
            
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  "contributor": "NIOZ Royal Netherlands Institute for Sea Research",
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  "creators": 
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stname\":\"Rosemarie\",\"lastname\":\"Kentie\",\"affiliation\":\"Royal 
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stname\":\"Rosemarie\",\"lastname\":\"Kentie\",\"affiliation\":\"Royal 
            
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Netherlands Institute for Sea 
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Netherlands Institute for Sea 
            
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tie@nioz.nl\",\"iscorrespondingauthor\":true,\"formatted\":\"Rosemarie 
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tie@nioz.nl\",\"iscorrespondingauthor\":true,\"formatted\":\"Rosemarie 
            
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Kentie - Royal Netherlands Institute for Sea Research - ORCID: 
11
Kentie - Royal Netherlands Institute for Sea Research - ORCID: 
            
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0000-0001-7050-9265 - Corresponding Author - 
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0000-0001-7050-9265 - Corresponding Author - 
            
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\"Judy\",\"lastname\":\"Shamoun-Baranes\",\"affiliation\":\"University 
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\"Judy\",\"lastname\":\"Shamoun-Baranes\",\"affiliation\":\"University 
            
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of 
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of 
            
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ailaddress\":\"\",\"iscorrespondingauthor\":false,\"formatted\":\"Judy 
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ailaddress\":\"\",\"iscorrespondingauthor\":false,\"formatted\":\"Judy 
            
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Shamoun-Baranes - University of Amsterdam - ORCID: 
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Shamoun-Baranes - University of Amsterdam - ORCID: 
            
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\",\"lastname\":\"Spaans\",\"orcid\":\"\",\"affiliation\":\"Previously 
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\",\"lastname\":\"Spaans\",\"orcid\":\"\",\"affiliation\":\"Previously 
            
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Wageningen Environmental 
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Wageningen Environmental 
            
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rstname\":\"Kees\",\"lastname\":\"Camphuysen\",\"affiliation\":\"Royal 
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rstname\":\"Kees\",\"lastname\":\"Camphuysen\",\"affiliation\":\"Royal 
            
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Netherlands Institute for Sea 
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Netherlands Institute for Sea 
            
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ailaddress\":\"\",\"iscorrespondingauthor\":false,\"formatted\":\"Kees 
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ailaddress\":\"\",\"iscorrespondingauthor\":false,\"formatted\":\"Kees 
            
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Camphuysen - Royal Netherlands Institute for Sea Research - ORCID: 
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Camphuysen - Royal Netherlands Institute for Sea Research - ORCID: 
            
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0000-0002-3469-9070\"}]",
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0000-0002-3469-9070\"}]",
            
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  "dataset_persistent_id": "DOI:10.25850/nioz/7b.b.gc",
            
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  "dates": 
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  "dates": 
            
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-05-31T22:00:00.000Z\",\"type\":\"collected\",\"information\":\"\"}]",
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  "deposit_date": "2021-05-04",
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  "deposit_date": "2021-05-04",
            
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  "depositor": "Rosemarie Kentie",
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  "depositor": "Rosemarie Kentie",
            
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  "distribution_date": "2021-05-04",
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  "distribution_date": "2021-05-04",
            
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  "distributor": "Research Data Management(NIOZ Royal Netherlands 
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  "distributor": "Research Data Management(NIOZ Royal Netherlands 
            
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Institute for Sea Research)",
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Institute for Sea Research)",
            
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  "doi_date_published": "2022-07-28",
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  "doi_date_published": "2022-07-28",
            
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  "name": "7bbgc",
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  "name": "7bbgc",
            
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  "notes": "Demographic rates such as recruitment and survival 
42
  "notes": "Demographic rates such as recruitment and survival 
            
43
probability can vary considerably among populations of the same 
43
probability can vary considerably among populations of the same 
            
44
species due to variation in underlying environmental processes. If 
44
species due to variation in underlying environmental processes. If 
            
45
environmental processes are spatially correlated, nearby populations 
45
environmental processes are spatially correlated, nearby populations 
            
46
are expected to have more similar demographic rates than those further 
46
are expected to have more similar demographic rates than those further 
            
47
apart. Breeding populations and foraging ranges are spatially 
47
apart. Breeding populations and foraging ranges are spatially 
            
48
segregated in colonial seabirds, making them ideal for studying 
48
segregated in colonial seabirds, making them ideal for studying 
            
49
spatial patterns in demographic rates and their effects on local 
49
spatial patterns in demographic rates and their effects on local 
            
50
population dynamics. Here we explored variation in age\u2010dependent 
50
population dynamics. Here we explored variation in age\u2010dependent 
            
51
survival probabilities across 14 colonies of Herring Gulls Larus 
51
survival probabilities across 14 colonies of Herring Gulls Larus 
            
52
argentatus breeding along the Dutch North Sea coast. We used 
52
argentatus breeding along the Dutch North Sea coast. We used 
            
53
long\u2010term mark\u2010recapture data of marked fledglings to 
53
long\u2010term mark\u2010recapture data of marked fledglings to 
            
54
estimate survival, and estimated spatial autocorrelation of survival 
54
estimate survival, and estimated spatial autocorrelation of survival 
            
55
probabilities. We assessed whether survival until recruitment age or 
55
probabilities. We assessed whether survival until recruitment age or 
            
56
until 10\u2009years old (close to their expected lifespan) explained 
56
until 10\u2009years old (close to their expected lifespan) explained 
            
57
variation in population trajectories of each colony. Juvenile and 
57
variation in population trajectories of each colony. Juvenile and 
            
58
adult survival showed a strong, but different, 
58
adult survival showed a strong, but different, 
            
59
north\u2010to\u2010south gradient in survival, probability with lower 
59
north\u2010to\u2010south gradient in survival, probability with lower 
            
60
juvenile but higher adult survival in northern colonies than southern 
60
juvenile but higher adult survival in northern colonies than southern 
            
61
colonies, whereas the spatial pattern of immature survival was less 
61
colonies, whereas the spatial pattern of immature survival was less 
            
62
distinct. Neither recruitment nor the proportion of 
62
distinct. Neither recruitment nor the proportion of 
            
63
10\u2010year\u2010old adults alive predicted whether a colony 
63
10\u2010year\u2010old adults alive predicted whether a colony 
            
64
collapsed, declined, remained stable or increased. The distinct 
64
collapsed, declined, remained stable or increased. The distinct 
            
65
spatial pattern in survival suggests variation in regional food 
65
spatial pattern in survival suggests variation in regional food 
            
66
availability, which do not seem to drive local population dynamics. 
66
availability, which do not seem to drive local population dynamics. 
            
67
The absence of a link between survival and colony trajectories implies 
67
The absence of a link between survival and colony trajectories implies 
            
68
that connectivity between populations plays an important role 
68
that connectivity between populations plays an important role 
            
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affecting population dynamics.",
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affecting population dynamics.",
            
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  "subject": "Earth and Environmental Sciences",
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  "subject": "Earth and Environmental Sciences",
            
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  "tags": [
            
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  ],
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  ],
            
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  "title": "Data from: Spatial patterns in age\u2010 and 
n
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  "title": "Data from: Spatial patterns in age- and colony-specific 
            
162
colony\u2010specific survival in a long\u2010lived seabird across 14 
162
survival in a long-lived seabird across 14 contrasting colonies",
            
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contrasting colonies",

            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.gc",
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  "url": "https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.gc",
            
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  "version": "3"
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  "version": "4"
            
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}
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