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Wildlife Research Wildlife Research Society
Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE

Evaluation of trapping-web designs

Paul M. Lukacs A B C , David R. Anderson A and Kenneth P. Burnham A
+ Author Affiliations
- Author Affiliations

A Colorado Cooperative Fish and Wildlife Research Unit, 1484 Campus Delivery, Colorado State University, Fort Collins, CO 80523, USA.

B Present address: USGS Patuxent Wildlife Research Center, 1201 Oakridge Drive, Suite 250, Fort Collins, CO 80525, USA.

C Corresponding author. Email: Paul_Lukacs@partner.nps.gov

Wildlife Research 32(2) 103-110 https://doi.org/10.1071/WR04011
Submitted: 9 February 2004  Accepted: 17 September 2004   Published: 4 May 2005

Abstract

The trapping web is a method for estimating the density and abundance of animal populations. A Monte Carlo simulation study is performed to explore performance of the trapping web for estimating animal density under a variety of web designs and animal behaviours. The trapping performs well when animals have home ranges, even if the home ranges are large relative to trap spacing. Webs should contain at least 90 traps. Trapping should continue for 5–7 occasions. Movement rates have little impact on density estimates when animals are confined to home ranges. Estimation is poor when animals do not have home ranges and movement rates are rapid. The trapping web is useful for estimating the density of animals that are hard to detect and occur at potentially low densities.


Acknowledgments

The US Geological Survey / Biological Resources Division provided support for this research.


References

Anderson, D. R. , Burnham, K. P. , White, G. C. , and Otis, D. L. (1983). Density estimation of small-mammal populations using a trapping web and distance sampling methods. Ecology 64, 674–680.
Buckland S. T. , Anderson D. R. , Burnham K. P. , and Laake J. L. (1993). ‘Distance Sampling: Estimating Abundance of Biological Populations.’ (Chapman and Hall: New York.)

Buckland S. T. , Anderson D. R. , Burnham K. P. , Laake J. L. , Borchers D. L. , and Thomas L. (2001). ‘An Introduction to Distance Sampling.’ (Oxford University Press: New York.)

Burnham K. P. , and Anderson D. R. (2002). ‘Model Selection and Multimodel Inference: an Information-Theoretic Approach.’ (Springer-Verlag: New York.)

Burnham, K. P. , Anderson, D. R. , and Laake, J. L. (1980). Estimation of density from line transect sampling of biological populations. Wildlife Monographs 72, 1–202.
Burnham K. P. , Anderson D. R. , White G. C. , Brownie C. , and Pollock K. H. (1987). Design and analysis methods for fish survival experiments based on release–recapture. American Fisheries Society Monograph 5.

Cochran W. G. (1963). ‘Sampling Techniques.’ 2nd edn. (John Wiley and Sons, Inc.: New York.)

Lukacs, P. M. (2002). WebSim: simulation software to assist in trapping web design. Wildlife Society Bulletin 30, 1259–1261.
Neter J. , Kutner M. H. , Nachtsheim C. J. , and Wasserman W. (1996). ‘Applied Linear Statistical Models.’ 4th edn. (McGraw-Hill: New York.)

Otis, D. L. , Burnham, K. P. , White, G. C. , and Anderson, D. R. (1978). Statistical inference from capture data on closed populations. Wildlife Monographs 62, 1–135.
Thomas L. J. , Laake L. , Derry J. F. , Buckland S. T. , Borchers D. L. , et al. (1998). ‘Distance 3.5.’ (Research Unit for Wildlife Population Assessment: University of St Andrews, UK.)

White G. C. , Anderson D. R. , Burnham K. P. , and Otis D. L. (1982). Capture–recapture and removal methods for sampling closed populations. Los Alamos National Laboratory, Los Alamos, New Mexico. LA-8787-NERP.

Wilson, K. R. , and Anderson, D. R. (1985). Evaluation of a density estimator based on a trapping web design and distance sampling theory. Ecology 66, 1185–1194.