Factors influencing Soay sheep survival

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 t...

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Published in:Journal of the Royal Statistical Society: Series C (Applied Statistics)
Main Authors: Catchpole, Edward A., Morgan, Byron J. T., Coulson, Tim, Freeman, Stephen N., Albon, Steve D.
Format: Article in Journal/Newspaper
Language:unknown
Published: Wiley-Blackwell 2000
Subjects:
Online Access:https://kar.kent.ac.uk/16246/
https://doi.org/10.1111/1467-9876.00205
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spelling ftkentuniv:oai:kar.kent.ac.uk:16246 2023-05-15T17:34:25+02:00 Factors influencing Soay sheep survival Catchpole, Edward A. Morgan, Byron J. T. Coulson, Tim Freeman, Stephen N. Albon, Steve D. 2000 https://kar.kent.ac.uk/16246/ https://doi.org/10.1111/1467-9876.00205 unknown Wiley-Blackwell Catchpole, Edward A., Morgan, Byron J. T., Coulson, Tim, Freeman, Stephen N., Albon, Steve D. (2000) Factors influencing Soay sheep survival. Journal of the Royal Statistical Society: Series C (Applied Statistics), 49 . pp. 453-472. ISSN 0035-9254. (doi:10.1111/1467-9876.00205 <https://doi.org/10.1111/1467-9876.00205>) (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:16246 </16246>) HA Statistics Article PeerReviewed 2000 ftkentuniv https://doi.org/10.1111/1467-9876.00205 2023-03-12T18:53:45Z 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. Article in Journal/Newspaper North Atlantic North Atlantic oscillation University of Kent: KAR - Kent Academic Repository Journal of the Royal Statistical Society: Series C (Applied Statistics) 49 4 453 472
institution Open Polar
collection University of Kent: KAR - Kent Academic Repository
op_collection_id ftkentuniv
language unknown
topic HA Statistics
spellingShingle HA Statistics
Catchpole, Edward A.
Morgan, Byron J. T.
Coulson, Tim
Freeman, Stephen N.
Albon, Steve D.
Factors influencing Soay sheep survival
topic_facet HA Statistics
description 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.
format Article in Journal/Newspaper
author Catchpole, Edward A.
Morgan, Byron J. T.
Coulson, Tim
Freeman, Stephen N.
Albon, Steve D.
author_facet Catchpole, Edward A.
Morgan, Byron J. T.
Coulson, Tim
Freeman, Stephen N.
Albon, Steve D.
author_sort Catchpole, Edward A.
title Factors influencing Soay sheep survival
title_short Factors influencing Soay sheep survival
title_full Factors influencing Soay sheep survival
title_fullStr Factors influencing Soay sheep survival
title_full_unstemmed Factors influencing Soay sheep survival
title_sort factors influencing soay sheep survival
publisher Wiley-Blackwell
publishDate 2000
url https://kar.kent.ac.uk/16246/
https://doi.org/10.1111/1467-9876.00205
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation Catchpole, Edward A., Morgan, Byron J. T., Coulson, Tim, Freeman, Stephen N., Albon, Steve D. (2000) Factors influencing Soay sheep survival. Journal of the Royal Statistical Society: Series C (Applied Statistics), 49 . pp. 453-472. ISSN 0035-9254. (doi:10.1111/1467-9876.00205 <https://doi.org/10.1111/1467-9876.00205>) (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:16246 </16246>)
op_doi https://doi.org/10.1111/1467-9876.00205
container_title Journal of the Royal Statistical Society: Series C (Applied Statistics)
container_volume 49
container_issue 4
container_start_page 453
op_container_end_page 472
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