title: Breeding together: modeling synchrony in productivity in a seabird community.
abstract: With environmental conditions changing rapidly, there is a need to move beyond single-species models and consider how communities respond to environmental drivers. We present a modeling approach that allows estimation of multispecies synchrony in productivity, or its components, and the contribution of environmental covariates as synchronizing and desynchronizing agents. We apply the model to long-term breeding success data for five seabird species at a North Atlantic colony. Our Bayesian analysis reveals varying degrees of synchrony in overall productivity, with a common signal indicating a significant decline in productivity between 1986 and 2009. Productivity in seabirds reflects conditions in the marine ecosystem so the estimated synchronous component is a useful indicator of local marine environment health. For the two species for which we have most data, the environmental contribution to overall productivity synchrony is driven principally by effects operating at the chick stage rather than during incubation. Our results emphasize the importance of studying together species that coexist in a community. The framework, which accommodates interspecific clutch-size variation, is readily applicable to any species assemblage in any ecosystem where long-term productivity data are available.
authors.affiliation: National Centre for Statistical Ecology, School of Mathematics, Statistics & Actuarial Science, University of Kent, Canterbury, Kent CT2 7NF, United Kingdom. jose.lahoz@unimelb.edu.au
authors.forename: José J
authors.initials: JJ
authors.lastname: Lahoz-Monfort
authors.forename: Byron J T
authors.initials: BJ
authors.lastname: Morgan
authors.forename: Michael P
authors.initials: MP
authors.lastname: Harris
authors.forename: Francis
authors.initials: F
authors.lastname: Daunt
authors.forename: Sarah
authors.initials: S
authors.lastname: Wanless
authors.forename: Stephen N
authors.initials: SN
authors.lastname: Freeman
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D015415:Biomarkers; D046091:Charadriiformes / Q000502:physiology*; D011157:Population Dynamics; D012098:Reproduction / Q000502:physiology*; D012606:Scotland; D013045:Species Specificity; D013997:Time Factors
chemical_list: D015415:Biomarkers