Skip to main content

Breeding together: modelling synchrony in productivity in a seabird community

Lahoz-Monfort, Jose J., Morgan, Byron J. T., Harris, Michael P., Daunt, Francis, Wanless, Sarah, Freeman, Stephen N. (2013) Breeding together: modelling synchrony in productivity in a seabird community. Ecology, 94 (1). pp. 3-10. ISSN 0012-9658. (doi:10.1890/12-0500.1) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:33031)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1890/12-0500.1

Abstract

With environmental conditions changing rapidly, there is a need to move

drivers. We present a modeling approach that allows estimation of multispecies synchrony in

synchronizing and desynchronizing agents.

Atlantic colony. Our Bayesian analysis reveals varying degrees of synchrony in overall

1986 and 2009. Productivity in seabirds reflects conditions in the marine ecosystem so the

For the two species for which we have most data, the environmental contribution to overall

during incubation. Our results emphasize the importance of studying together species that

variation, is readily applicable to any species assemblage in any ecosystem where long-term

productivity data are available.

Item Type: Article
DOI/Identification number: 10.1890/12-0500.1
Uncontrolled keywords: Bayesian analysis; breeding success; chick survival; clutch size; hatchability; integration indicators; Isle of May, southeast Scotland; JAGS; long-term monitoring; marine birds; eastern North Atlantic seabird community; random effects.
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QH Natural history > QH541 Ecology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Byron Morgan
Date Deposited: 18 Jan 2013 14:24 UTC
Last Modified: 16 Feb 2021 12:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/33031 (The current URI for this page, for reference purposes)
  • Depositors only (login required):