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Estimating the annual number of breeding attempts from breeding dates using mixture models
Authors:Thomas Cornulier  David A Elston  Peter Arcese  Tim G Benton  David JT Douglas  Xavier Lambin  Jane Reid  Robert A Robinson  William J Sutherland
Institution:UKPopNet, Institute of Biological and Environmental Sciences, Zoology Building, Tillydrone Avenue, University of Aberdeen, Aberdeen AB24 2TZ, UK;
Centre d'Etudes Biologiques de Chizé, CNRS, Villiers en Bois, 79360 Beauvoir sur Niort, France;
Biomathematics &Statistics Scotland, Craigiebuckler, Aberdeen AB15 8QH, UK;
Centre for Applied Conservation Research, Forest Sciences, 3rd Floor, 2424 Main Mall, University of British Columbia, Vancouver, BC V6T 1Z4, Canada;
Institute of Integrative &Comparative Biology, Miall Building, University of Leeds, Leeds LS2 9JT, UK;
RSPB Scotland, Dunedin House, 25 Ravelston Terrace, Edinburgh EH4 3TP, UK;
British Trust for Ornithology, The Nunnery, Thetford, Norfolk IP24 2PU, UK;
Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
Abstract:Well-established statistical methods exist to estimate variation in a number of key demographic rates from field data, including life-history transition probabilities and reproductive success per attempt. However, our understanding of the processes underlying population change remains incomplete without knowing the number of reproductive attempts individuals make annually; this is a key demographic rate for which we have no satisfactory method of estimating. Using census data to estimate this parameter from requires disaggregating the overlying temporal distributions of first and subsequent breeding attempts. We describe a Bayesian mixture method to estimate the annual number of reproductive attempts from field data to provide a new tool for demographic inference. We validate our method using comprehensive data on individually-marked song sparrows Melospiza melodia , and then apply it to more typical nest record data collected over 45 years on yellowhammers Emberiza citrinella . We illustrate the utility of our method by testing, and rejecting, the hypothesis that declines in UK yellowhammer populations have occurred concurrently with declines in annual breeding frequency.
Keywords:Bayesian inference  conservation ecology  demographic parameters  life-history variation  population dynamics  reproductive success
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