Literature DB >> 23600234

Breeding together: modeling synchrony in productivity in a seabird community.

José J Lahoz-Monfort1, Byron J T Morgan, Michael P Harris, Francis Daunt, Sarah Wanless, Stephen N Freeman.   

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.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23600234     DOI: 10.1890/12-0500.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  5 in total

1.  Variation in Population Synchrony in a Multi-Species Seabird Community: Response to Changes in Predator Abundance.

Authors:  Gail S Robertson; Mark Bolton; Paul Morrison; Pat Monaghan
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

2.  Identifying multispecies synchrony in response to environmental covariates.

Authors:  Ben Swallow; Ruth King; Stephen T Buckland; Mike P Toms
Journal:  Ecol Evol       Date:  2016-11-04       Impact factor: 2.912

3.  Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community.

Authors:  José J Lahoz-Monfort; Michael P Harris; Sarah Wanless; Stephen N Freeman; Byron J T Morgan
Journal:  J Agric Biol Environ Stat       Date:  2017-04-18       Impact factor: 1.524

4.  Interspecific synchrony on breeding performance and the role of anthropogenic food subsidies.

Authors:  Ana Payo-Payo; José-Manuel Igual; Ana Sanz-Aguilar; Enric Real; Meritxell Genovart; Daniel Oro; Giacomo Tavecchia
Journal:  PLoS One       Date:  2022-10-12       Impact factor: 3.752

5.  Interspecific synchrony of seabird population growth rate and breeding success.

Authors:  James P W Robinson; Maria Dornelas; Alfredo F Ojanguren
Journal:  Ecol Evol       Date:  2013-05-30       Impact factor: 2.912

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.