Exploring the consequences of reducing survey effort for detecting individual and temporal variability in survival

Journal of Applied Ecology

Volumn 51, Issue 2, 2014, Pages 534-543

  Lahoz Monfort, José J ^a,b,c   Harris, Michael P ^b   Morgan, Byron J T ^a   Freeman, Stephen N ^b   Wanless, Sarah ^b  

^a UNIVERSITY OF KENT   (United Kingdom)

^b CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Data thinning; Hidden parameters; Individual covariates; Integrated population model; Juvenile survival; Long term monitoring; Mark recapture recovery; Productivity; Survey design; Uria aalge

Indexed keywords

ABUNDANCE; ASSESSMENT METHOD; BREEDING POPULATION; DATA ASSIMILATION; DATA SET; DECISION SUPPORT SYSTEM; DEMOGRAPHY; JUVENILE; LONG-TERM CHANGE; MARK-RECAPTURE METHOD; MONITORING; POPULATION MODELING; SEABIRD; SURVEY; SURVIVAL; TEMPORAL VARIATION;

ATLANTIC OCEAN; NORTH SEA;

URIA AALGE;

EID: 84896403628     PISSN: 00218901     EISSN: 13652664     Source Type: Journal    
DOI: 10.1111/1365-2664.12214     Document Type: Article

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