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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Online Access: | http://www.tandfonline.com/doi/abs/10.1080/02664760120108782 |
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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 |
_version_ |
1766003214923071488 |