You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Critical Look at Some Widely Used Estimators in Mark-Resighting Experiments
L. Fattorini, M. Marcheselli, A. Monaco and C. Pisani
Journal of Animal Ecology
Vol. 76, No. 5 (Sep., 2007), pp. 957-965
Published by: British Ecological Society
Stable URL: http://www.jstor.org/stable/4539204
Page Count: 9
You can always find the topics here!Topics: Animals, Estimators, Simulations, Population estimates, Animal ecology, Population size, Confidence interval, Turtles, Human ecology, Statistical estimation
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
1. For many species and circumstances, mark-resighting procedures constitute valid alternatives to capture-recapture methods. Indeed, resightings are generally cheaper to acquire than physically recapturing and rehandling the animals, especially when radiotelemetry or other tracking devices are available. 2. In order to estimate population abundance, the joint hypergeometric maximum likelihood estimator, the Minta-Mangel estimator and the Bowden estimator are implemented in NOREMARK, software which has become very popular with biologists in the past decade. 3. In this paper, the basic assumptions regarding these widely applied procedures are delineated and discussed. A simulation study is performed in order to investigate the robustness of the estimators under failure of the assumptions. 4. Theoretical considerations and simulation results motivate the use of the Bowden estimator which, when marks are distributed quite evenly among groups, constitutes the sole reliable method, offering computational simplicity and robustness. On the other hand, if the marks are distributed unevenly, no mark-resighting procedure seems reliable. An application to a case study is considered.
Journal of Animal Ecology © 2007 British Ecological Society