Caillat, MarjolaineCordes, LineThompson, PaulMatthiopoulos, JasonSmout, Sophie2020-09-052020-09-052019-09Caillat, M, Cordes, L, Thompson, P, Matthiopoulos, J & Smout, S 2019, 'Use of state-space modelling to identify ecological covariates associated with trends in pinniped demography', Aquatic Conservation: Marine and Freshwater Ecosystems, vol. 29, no. S1, pp. 101-118. https://doi.org/10.1002/aqc.31301052-7613Mendeley: bb2d89c9-793b-3912-8bfb-a002d6c4ad72https://hdl.handle.net/2164/15082ACKNOWLEDGEMENTS We thank all those who shared data with us: Bob Swan for the kittiwake data, Eileen Bresnan for the biotoxin data and National Oceanic and Atmospheric Administration and the National Center for Atmospheric Research for SST and NAO data respectively. We thank Dave Thompson, Callan Duck and Chris Morris for their help in understanding and organizing survey data, and Marine Scotland for funding this work. Funding Information Marine Scotland. Grant Number: MMSS/001/111811177731585187engSDG 14 - Life Below WaterBayesianenvironmental changefecundityharbour sealinter-specific competitionpopulation changeprey availabilitysurvivalKITTIWAKE RISSA-TRIDACTYLAINSHORE WATERSMORAY FIRTHSEASONAL-VARIATIONSEALS PHOCA-VITULINABREEDING SUCCESSHARBOR SEALSPOPULATION-DYNAMICSKILLER WHALESNORTH-SEAQH301 BiologyAquatic ScienceNature and Landscape ConservationEcologyOtherMMSS/001/11Supplementary DataQH301Use of state-space modelling to identify ecological covariates associated with trends in pinniped demographyJournal article10.1002/aqc.3130http://www.scopus.com/inward/record.url?scp=85071891869&partnerID=8YFLogxKhttp://www.mendeley.com/research/statespace-modelling-identify-ecological-covariates-associated-trends-pinniped-demography29