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Capture-recapture sampling (also referred to as “capture-mark-recapture sampling” or “mark-release-recapture sampling”) is a method used to estimate the unknown size of a population. In practice, it is often not feasible to manually count every individual element in a population because of time, budget, or other constraints. And, in many situations, capture-recapture sampling can produce a statistically valid estimate of a population size in a more efficient and timely manner than a census.

The most basic application of capture-recapture sampling consists of two stages. The first stage involves drawing (or capturing) a random sample of elements from a population of unknown size, for example, fish in a pond. The sampled elements are then marked, or tagged, and released back into the population. The second stage consists of drawing another random sample of elements from the same population. The second-stage sample must be obtained without dependence on the first-stage sample. Information from both stages is used to obtain an estimate of the population total.

The capture-recapture technique assumes that the ratio of the total number of population elements to the total number of marked elements is equal, in expectation, to the ratio of the number of second-stage sample elements to the number of marked elements in the sample. This relationship can be expressed as follows:

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where N is the unknown population total of interest, n is the number of elements in the second-stage sample (both marked and unmarked), C is the total number of marked elements from the first-stage sample (i.e. the captures), and R is the number of marked elements found in the second-stage sample (i.e. the recaptures). By solving for N, it is then possible to obtain an estimate of the population total:

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Example

A classic example comes from the field of ecology. Suppose the goal is to estimate the size of a fish population in a pond. A first-stage sample of 20 fish is drawn, tagged, and released back into the pond. A second-stage sample of 30 fish is subsequently drawn. Tags are found on 12 of the 30 sampled fish, indicating that 12 fish captured in the first sample were recaptured in the second sample. This information can be used to assign actual quantities to the variables of interest in Equation 1, where n = 30, C = 20, and R = 12. Solving for N using Equation 2 yields the following estimate of the population total:

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Therefore, the estimated size of the pond's fish population is 50. A more stable estimate of the population total, subject to less sampling variability, can be obtained if multiple second-stage samples are drawn, and estimated totals, computed from each sample, are averaged together.

Assumptions

In order for the capture-recapture sampling technique to produce a valid estimate of a population size, three assumptions must hold:

  • Every population element has an equal probability of being selected (or captured) into both samples.
  • The ratio between marked and unmarked population elements remains unchanged during the time interval between samples.
  • Marked elements can be successfully matched from first-stage sample to second-stage sample.

Assumption 1 holds if simple random sampling is used to capture elements into both samples. A possible violation of this assumption occurs if those who were captured in the first-stage sample have a higher probability of being captured in the second-stage sample, which would lead to overestimation of the population total. Assumption 2 follows from the relationship described in Equation 1. In general, this assumption holds if there is no change in the population, or if the population is closed during the study. However, births or deaths and immigration or emigration are permitted as long as the ratio is preserved. Assumption 3 holds if there is no loss of tags and no erroneous matching.

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