首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Factors influencing Soay sheep survival
Authors:E A Catchpole  B J T Morgan  T N Coulson  S N Freeman  & S D Albon
Institution:Australian Defence Force Academy, Canberra, Australia,;University of Kent at Canterbury, UK,;Institute of Zoology, London, UK,;British Trust for Ornithology, Thetford, UK,;Institute of Terrestrial Ecology, Banchory, UK
Abstract:We present a survival analysis of Soay sheep mark recapture and recovery data. Unlike previous conditional analyses, it is not necessary to assume equality of recovery and recapture probabilities; instead these are estimated by maximum likelihood. Male and female sheep are treated separately, with the higher numbers and survival probabilities of the females resulting in a more complex model than that used for the males. In both cases, however, age and time aspects need to be included and there is a strong indication of a reduction in survival for sheep aged 7 years or more. Time variation in survival is related to the size of the population and selected weather variables, by using logistic regression. The size of the population significantly affects the survival probabilities of male and female lambs, and of female sheep aged 7 or more years. March rainfall and a measure of the North Atlantic oscillation are found to influence survival significantly for all age groups considered, for both males and females. Either of these weather variables can be used in a model. Several phenotypic and genotypic individual covariates are also fitted. The only covariate which is found to influence survival significantly is the type of horn of first-year female sheep. There is a substantial variation in the recovery probabilities over time, reflecting in part the increased effort when a population crash was expected. The goodness of fit of the model is checked by using graphical procedures.
Keywords:Integrated analysis  Logistic regression  Mark recapture  Mark recovery  Maximum likelihood  Soay sheep  Survival
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号