Testing the effectiveness of capture mark recapture population estimation techniques using a computer simulation with known population size

This source preferred by Rick Stafford

Authors: Rees, S.G., Goodenough, A.E., Hart, A.G. and Stafford, R.

Journal: Ecological Modelling

Volume: 222

Pages: 3291-3294

ISSN: 0304-3800

DOI: 10.1016/j.ecolmodel.2011.05.030

This data was imported from Scopus:

Authors: Rees, S.G., Goodenough, A.E., Hart, A.G. and Stafford, R.

Journal: Ecological Modelling

Volume: 222

Issue: 17

Pages: 3291-3294

ISSN: 0304-3800

DOI: 10.1016/j.ecolmodel.2011.05.030

Estimation of small mammal population sizes is important for monitoring ecosystem condition and for conservation. Here, we test the accuracy of standard methods of population size estimation using Capture-Mark-Recapture (CMR) on a simulated population of agents. The use of a computer simulation allows complete control of population sizes and behaviors, thereby avoiding assumptions that may be violated in real populations. We find that the recommended protocol for CMR sampling, using uniformly distributed traps, consistently overestimates population sizes by as much as 100% when studies are conducted over only two trapping periods. More than 20 trapping periods are required before this method, or that of placing traps randomly, gives an accurate estimation of population size (i.e., within a 95% confidence limit of the actual value). Non-random sampling, by placing traps on runways used by small mammals, produces the most accurate, and least variable, estimates of population. However, we show that around 10 trapping periods are still required to produce an accurate population estimate using this method. Given that most real populations do not comply with the 'ideal' assumptions made by CMR, we suggest that population estimates based on CMR may be fundamentally flawed, and recommend that protocols for CMR population estimation methods may need revising. © 2011 Elsevier B.V.

This data was imported from Web of Science (Lite):

Authors: Rees, S.G., Goodenough, A.E., Hart, A.G. and Stafford, R.

Journal: ECOLOGICAL MODELLING

Volume: 222

Issue: 17

Pages: 3291-3294

ISSN: 0304-3800

DOI: 10.1016/j.ecolmodel.2011.05.030

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