The DOI matches its Crossref record.
A Capture-Recapture Design Robust to Unequal Probability of Capture
Abstract
At the basis of many capture-recapture sampling models is the assumption that all animals are equally likely to be caught in each sample (The Equal Catchability Assumption). This assumption is often violated in wildlife populations (Seber 1973:81) and 2 general types of alternatives exist (Pollock 1981): (1) Heterogeneity: The probability of capture in any sample is a property of the animal and may vary over the population. That is, animals may vary in capture probabilities according to age, sex, social status, and many other factors. (2) Trap response: The probability of capture in any sample depends on the animal's prior history of capture. That is, animals may become shy or happy depending upon the type of trapping method used. Either 1 or both of these 2 types of alternatives may be acting in a particular animal population. The traditional capture-recapture model used by biologists for closed populations (populations closed to additions or deletions) in short-term studies is the Schnabel Model (Schnabel 1938) that requires The Equal Catchability Assumption. In recent years there has been substantial research on models for closed populations that allow heterogeneity and/or trap response of the capture probabilities. Otis et al. (1978) published an important monograph on these models that allows their routine use by biologists. The capture-recapture model becoming used by biologists for open populations in long-term studies is the Jolly-Seber Model (Seber 1973). This model requires The Equal Catchability Assumption and the complexity of open population models is likely to preclude general models that allow heterogeneity and/or trap response. During the preparation of a review of capture-recapture methods (Pollock 1981), I realized that statisticians have drawn a sharp distinction between closed and open population models that is perhaps rather artificial. Here I describe a design for long-term studies that is robust to heterogeneity and/or trap response. It allows an analysis that uses methodology from closed and open population models. There is a brief examination of its robustness properties using simulation and an example is given in detail to illustrate the methodology for biologists.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Impact of Food and Predation on the Snowshoe Hare Cycle
Krebs, C. J., Boutin, S., Boonstra, R., Sinclair, A. R. E., Smith, J. N. M., Dale, M. R. T., Martin, K., & Turkington, R. (1995) · Science · doi:10.1126/science.269.5227.1112 · Cited by 699
Models for Estimating Abundance from Repeated Counts of an Open Metapopulation
Dail, D., & Madsen, L. (2011) · Biometrics · doi:10.1111/j.1541-0420.2010.01465.x · Cited by 382
Pickett, E. J., Stockwell, M. P., Bower, D. S., Garnham, J. I., Pollard, C. J., Clulow, J., & Mahony, M. J. (2013) · Biological Conservation · doi:10.1016/j.biocon.2012.09.014 · Cited by 87
Evidence of Metapopulation Dynamics in Shortnose Sturgeon in the Southern Part of Their Range
Peterson, D. L., & Farrae, D. J. (2011) · Transactions of the American Fisheries Society · doi:10.1080/00028487.2011.638584 · Cited by 21
Conflicts and Collisions With an Endangered Carnivore: Landscape Drivers and Spatial Risk Pattern
Prat‐Guitart, M., Onorato, D. P., Hines, J. E., & Oli, M. K. (2026) · Ecology and Evolution · doi:10.1002/ece3.73931
“Closure within primary sampling seasons implies that the underlying state, whether a sampling unit is susceptible to conflicts or collisions, is assumed constant within a primary sampling season, while allowing changes between primary seasons (MacKenzie et al. 2017; Pollock 1982).”
Metadata
- Authors
- Pollock, K. H.
- Venue
- The Journal of Wildlife Management
- Publisher
- JSTOR
- Published
- 1982-07
- Volume
- 46
- Issue
- 3
- Pages
- 752
- ISSN
- 0022-541X (ISSN-L)
- OpenAlex
- W2068002455
- Cited by
- 1,140
- References
- 0
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Capture-Recapture Design Robust to Unequal Probability of Capture. https://app.cochat.ai/papers/10.2307/3808568
- The paper
- Pollock, K. H. (1982). A Capture-Recapture Design Robust to Unequal Probability of Capture. The Journal of Wildlife Management. https://doi.org/10.2307/3808568
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.