Measuring density dependence in survival from mark-recapture data

We discuss the analysis of mark-recapture data when the aim is to quantify density dependence between survival rate and abundance. We describe an analysis for a random effects model that includes a linear relationship between abundance and survival using an errors-in-variables regression estimator w...

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Main Authors: Richard Barker, David Fletcher, Paul Scofield
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.tandfonline.com/doi/abs/10.1080/02664760120108782
id ftrepec:oai:RePEc:taf:japsta:v:29:y:2002:i:1-4:p:305-313
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spelling ftrepec:oai:RePEc:taf:japsta:v:29:y:2002:i:1-4:p:305-313 2023-05-15T16:17:22+02:00 Measuring density dependence in survival from mark-recapture data Richard Barker David Fletcher Paul Scofield http://www.tandfonline.com/doi/abs/10.1080/02664760120108782 unknown http://www.tandfonline.com/doi/abs/10.1080/02664760120108782 article ftrepec 2020-12-04T13:31:34Z We discuss the analysis of mark-recapture data when the aim is to quantify density dependence between survival rate and abundance. We describe an analysis for a random effects model that includes a linear relationship between abundance and survival using an errors-in-variables regression estimator with analytical adjustment for approximate bias. The analysis is illustrated using data from short-tailed shearwaters banded for 48 consecutive years at Fisher Island, Tasmania, and Hutton's shearwater banded at Kaikoura, New Zealand for nine consecutive years. The Fisher Island data provided no evidence of a density dependence relationship between abundance and survival, and confidence interval widths rule out anything but small density dependent effects. The Hutton's shearwater data were equivocal with the analysis unable to rule out anything but a very strong density dependent relationship between survival and abundance. Article in Journal/Newspaper Fisher Island RePEc (Research Papers in Economics) New Zealand
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description We discuss the analysis of mark-recapture data when the aim is to quantify density dependence between survival rate and abundance. We describe an analysis for a random effects model that includes a linear relationship between abundance and survival using an errors-in-variables regression estimator with analytical adjustment for approximate bias. The analysis is illustrated using data from short-tailed shearwaters banded for 48 consecutive years at Fisher Island, Tasmania, and Hutton's shearwater banded at Kaikoura, New Zealand for nine consecutive years. The Fisher Island data provided no evidence of a density dependence relationship between abundance and survival, and confidence interval widths rule out anything but small density dependent effects. The Hutton's shearwater data were equivocal with the analysis unable to rule out anything but a very strong density dependent relationship between survival and abundance.
format Article in Journal/Newspaper
author Richard Barker
David Fletcher
Paul Scofield
spellingShingle Richard Barker
David Fletcher
Paul Scofield
Measuring density dependence in survival from mark-recapture data
author_facet Richard Barker
David Fletcher
Paul Scofield
author_sort Richard Barker
title Measuring density dependence in survival from mark-recapture data
title_short Measuring density dependence in survival from mark-recapture data
title_full Measuring density dependence in survival from mark-recapture data
title_fullStr Measuring density dependence in survival from mark-recapture data
title_full_unstemmed Measuring density dependence in survival from mark-recapture data
title_sort measuring density dependence in survival from mark-recapture data
url http://www.tandfonline.com/doi/abs/10.1080/02664760120108782
geographic New Zealand
geographic_facet New Zealand
genre Fisher Island
genre_facet Fisher Island
op_relation http://www.tandfonline.com/doi/abs/10.1080/02664760120108782
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