McCrea, Rachel S., Morgan, Byron J. T., Brown, Daniel I., Robinson, Rob A. (2012) Conditional modelling of ring-recovery data. Methods in Ecology and Evolution, 3 (5). pp. 823-831. ISSN 2041-210X. (doi:10.1111/j.2041-210X.2012.00226.x) (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:32846)
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. (Contact us about this Publication) | |
Official URL http://dx.doi.org/10.1111/j.2041-210X.2012.00226.x |
Abstract
1. Ring-recovery data can be used to obtain estimates of survival probability which is a key demo-
data is needed when cohort numbers are unavailable or unreliable. It is often necessary to include in
result in biased estimates of annual survival.
sions to be drawn regarding the effects of climate change.
and propose and investigate a range of alternative procedures.
is a scaled-logistic model, and it is shown to provide a unifying analysis of several data sets collected
insights and avenues for ecological research. The wider performance of this model is evaluated
5. In this study, we propose a new scaled-logistic model for the analysis of ring-recovery data with-
is shown to perform well in simulation studies and for both a single real data set and several real
that currently do not incorporate such reporting probabilities. Alternative models are shown to
possess undesirable features.
Item Type: | Article |
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DOI/Identification number: | 10.1111/j.2041-210X.2012.00226.x |
Uncontrolled keywords: | blackbird, declining recovery probability, grey heron, logistic models, song thrush, time segmentation, wren |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics Q Science > QH Natural history > QH541 Ecology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Byron Morgan |
Date Deposited: | 09 Jan 2013 16:26 UTC |
Last Modified: | 16 Feb 2021 12:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/32846 (The current URI for this page, for reference purposes) |
McCrea, Rachel S.: | ![]() |
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