Besbeas, Panagiotis, Freeman, Stephen N., Morgan, Byron J. T., Catchpole, Edward A. (2002) Integrating mark-recapture-recovery and census data to estimate animal abundance and demographic parameters. Biometrics, 58 (3). pp. 540-547. ISSN 0006-341X. (doi:10.1111/j.0006-341X.2002.00540.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:1003)
| 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. | |
| Official URL: http://dx.doi.org/10.1111/j.0006-341X.2002.00540.x |
|
Abstract
In studies of wild animals, one frequently encounters both census and mark-recapture-recovery data. We show how a state-space model for census data in combination with the usual multinomial-based models for ring-recovery data provide estimates of productivity not available from either type of data, alone. The approach is illustrated on two British bird species. For the lapwing; we calibrate how its recent decline could be due to a decrease in productivity. For the heron, there is no evidence for a decline in productivity, and the combined analysis increases significantly the strength of logistic regressions of survival on winter severity.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1111/j.0006-341X.2002.00540.x |
| Uncontrolled keywords: | Ardea cinerea; birds; census data; herons; kalman filter; lapwings; Leslie matrix models; maximum likelihood; prediction; productivity; ring-recovery data; state-space; Vanellus vanellas; winter weather |
| Subjects: | H Social Sciences > HA Statistics |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Mathematical Sciences |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
|
| Depositing User: | Judith Broom |
| Date Deposited: | 19 Dec 2007 18:40 UTC |
| Last Modified: | 20 May 2025 11:29 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/1003 (The current URI for this page, for reference purposes) |
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