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3 - General census methods

Published online by Cambridge University Press:  05 September 2012

By
Jeremy J. D. Greenwood  and
Robert A. Robinson
Edited by
William J. Sutherland
Jeremy J. D. Greenwood
Affiliation:
British Trust for Ornithology, The Nunnery, Thetford, Norfolk IP24 2PU, UK
Robert A. Robinson
Affiliation:
British Trust for Ornithology, The Nunnery, Thetford, Norfolk IP24 2PU, UK
William J. Sutherland
Affiliation:
University of East Anglia
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Summary

Introduction

In the previous chapter we saw how to derive conclusions about a whole population from information from sample areas. In this chapter, we are concerned with how to get the information from the individual sample areas (or from the whole population if it can be completely covered). To be clear, we shall refer to those areas as ‘sample areas’ or ‘study areas’; if we need to refer to the whole population of interest, we shall use that explicit phrase.

There are three approaches to measuring population within a study area. Most obviously, one may be able to carry out a complete count. Unfortunately, this is often impossible because one cannot be sure that one has detected all the individuals in the population. This has led to the development of various methods that involve counting just some of the individuals that are present and estimating (either explicitly or implicitly) the detectability of individuals, so that the total population of the sample area can be estimated from the sample of animals or plants actually observed by allowing for the detectability being less than perfect. However, it is often not easy, indeed it may even be impossible, to make such estimates. In such cases, one may settle for the third approach, namely obtaining an index of the population. That is, a measure that is related to population size but is not an estimate of the actual population size.

Type
Chapter
Information
Ecological Census Techniques
A Handbook
 , pp. 87 - 185
Publisher: Cambridge University Press
Print publication year: 2006

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References

Anderson, D. R., Burnham, K. P., White, G. C. & Otis, D. L. (1983). Density estimation of small mammal populations using a trapping web and distance sampling methods. Ecology 64, 674–680.CrossRefGoogle Scholar
Arnason, A. N. & Schwartz, C. J. (1999). Using popan-5 to analyse banding data. Bird Study 46 (Suppl.), S157–S168.CrossRefGoogle Scholar
Bart, J. & Earnst, S. (2002). Double sampling to estimate density and population trends in birds. Auk 119, 36–45.CrossRefGoogle Scholar
Borchers, D. L., Buckland, S. T. and Zucchini, W. (2002). Estimating Animal Abundance: Closed Populations. London, Springer-Verlag.CrossRefGoogle Scholar
Buckland, S. T., Anderson, D. R., Burnham, K. P.et al. (2001). Introduction to Distance Sampling: Estimating Abundance of Biological Populations.Oxford, Oxford University Press.Google Scholar
Buckland, S. T., Anderson, D. R., Burnham, K. P.et al. (2004). Advanced Distance Sampling – Estimating Abundance of Biological Populations.Oxford,Oxford University Press.Google Scholar
Burnham, K. P. & Overton, W. S. (1978). Estimation of the size of a closed population when capture probabilities vary among animals. Biometrika 65, 625–633.CrossRefGoogle Scholar
Burnham, K. P. & Overton, W. S. (1979). Robust estimation of population size when capture probabilities vary amongst animals. Ecology 60, 927–936.CrossRefGoogle Scholar
Burnham, K. P., Anderson, D. R., White, G. C., Brownie, C. & Pollock, K. P. (1987). Design and Analysis of Methods for Fish Survival Experiments Based on Release–Recapture. Bethesda, Maryland, American Fisheries Society.Google Scholar
Caughley, G. (1977). Analysis of Vertebrate Populations.London, John Wiley & Sons.Google Scholar
Cochran, W. G. (1977). Sampling Techniques. 3rd edn. New York, John Wiley & Sons.Google Scholar
Choquet, R., Reboulet, A.-M., Pradel, R., Gimenez, O. & Lebreton, J.-D. (2004). m-surge: new software specifically designed for multistate recapture models. Animal Biodiversity & Conservation 27, 207–215Google Scholar
Craig, G. C. (1953). On the utilisation of marked specimens in estimating populations of insects. Biometrika 40, 170–176.CrossRefGoogle Scholar
Diggle, P. J. (1983). Statistical Analysis of Spatial Point Patterns.London, Academic Press.Google Scholar
Dodd, C. K. & Dorazio, R. M. (2004). Using counts to simultaneously estimate abundance and detection probabilities in a salamander community. Herpetologia 60, 468–478.CrossRefGoogle Scholar
Feu, C., Hounsome, M. & Spence, I. (1983). A single session mark/recapture method of population estimation. Ringing & Migration 4, 211–226.CrossRefGoogle Scholar
Edwards, W. R. & Eberhardt, L. L. (1967). Estimating Cottontail abundance from live-trapping data. Journal of Wildlife Management 31, 87–96.CrossRefGoogle Scholar
Farnsworth, G. L., Pollock, K. H., Nichols, J. D.et al. (2002). A removal model for estimating detection probabilities from point-count surveys. Auk 119, 414–425.CrossRefGoogle Scholar
Frederiksen, M., Fox, A. D., Madsen, J. & Colhoun, K. (2001). Estimating the total number of birds using a staging site. Journal of Wildlife Management 65, 282–289.CrossRefGoogle Scholar
Freeman, S. N., Pomeroy, D. E. & Tushabe, H. (2003). On the use of times species counts to estimate avian abundance indices in species-rich communities. African Journal of Ecology 41, 337–348.CrossRefGoogle Scholar
Gibbons, D. W. (1987). The ‘New Atlas’ Pilot Fieldwork. BTO Research Report No. 30. Tring, British Trust for Ornithology.Google Scholar
Gibbons, D. W., Reid, J. B. & Chapman, R. A. (1993). The New Atlas of Breeding Birds in Britain and Ireland: 1988–1991. London, T. & A. D. Poyser.Google Scholar
Hines, J. E. (1994). MSSURVIV User's Manual.Laurel, MD, National Biological Survey.Google Scholar
Johnson, J. B. & Omland, K. S. (2004). Model selection in ecology and evolution. Trends in Ecology & Evolution 19, 101–108.CrossRefGoogle ScholarPubMed
Jolly, G. M. (1965). Explicit estimates from capture–recapture data with both death and immigration – stochastic model. Biometrika 52, 225–247.CrossRefGoogle ScholarPubMed
Kéry, M., Royle, J. A. & Schmid, H. (2005). Modeling avian abundance from replicated counts using binomial mixture models. Ecological Applications 15, 1450–1461.CrossRefGoogle Scholar
Lebreton, J.-D., & Clobert, J. (1986). User's Manual for Program SURGE. Version 2.0.Montpellier, C. E. F. E., C. N. R. S.Google Scholar
Lebreton, J.-D., Reboulet, S. M. & Banco, G. (1993). A review of software for terrestrial vertebrate population dynamics. In The Study of Bird Population Dynamics Using Marked Individuals, eds. Lebreton, J.-D and North, P. M., Berlin, Birkhäuser Verlag, pp. 357–372.Google Scholar
Leslie, P. H. & Davis, D. H. S. (1939). An attempt to determine the absolute numbers of rats on a given area. Journal of Animal Ecology 8, 94–113.CrossRefGoogle Scholar
Link, W. A. (2004). Individual heterogeneity and identifiability in capture–recapture models. Animal Biodiversity & Conservation 27, 87–91.Google Scholar
Lukacs, P. M. & Burnham, K. P. (2005). Estimating population size from DNA-based closed capture–recapture data incorporating genotyping error. Journal of Wildlife Management 69, 396–403.2.0.CO;2>CrossRefGoogle Scholar
MacKenzie, D. I. & Nichols, J. D. (2004). Occupancy as a surrogate for abundance estimation. Animal Biodiversity & Conservation 27, 461–467.Google Scholar
Manly, B. F. J. (1984). Obtaining confidence limits on parameters of the Jolly–Seber model for capture–recapture data. Biometrics 40, 749–758.CrossRefGoogle Scholar
McCaffery, K. R. (1976). Deer trail counts as an index to populations and habitat use. Journal of Wildlife Management 40, 308–316.CrossRefGoogle Scholar
McCallum, H. (2000). Population Parameters: Estimation for Ecological Models. Oxford, Blackwell Science.Google Scholar
Moore, C. T. & Kendall, W. L. (2004). Costs of detection bias in index-based population monitoring. Animal Biodiversity & Conservation 27, 287–296.Google Scholar
Nichols, J. D., Hines, J. E., Sauer, J. R.et al. (2000). A double-observer approach for estimating detection probability and abundance from point counts. Auk 117, 393–408.CrossRefGoogle Scholar
Numata, M. (1961). Forest vegetation in the vicinity of Chosi. Coastal flora and vegetation at Chosi, Chiba Prefecture IV. Bulletin of the Chosi Marine Laboratory of Chiba University 3, 28–48 [in Japanese].Google Scholar
Otis, D. L., Burnham, K. P., White, G. C. & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs 62, 1–135.Google Scholar
Parmenter, R. R., Yates, T. L., Anderson, D. R.et al. (2003). Small-mammal density estimation: a field comparison of grid-based vs. web-based density estimators. Ecological Monographs 73, 1–26.CrossRefGoogle Scholar
Pradel, R. & Lebreton, J.-D. (1991). User's Manual for Program SURGE. Version 4.1. Montpellier, C. E. F. E., C. N. R. S.Google Scholar
Pradel, R., Wintrebert, C. M. A. & Gimenez, O. (2003). A proposal for a goodness-of-fit test to the Arnason–Schwartz multisite capture–recapture model. Biometrics 59, 43–53.CrossRefGoogle ScholarPubMed
Rexstad, E. A. and Burnham, K. P. (1991). User's Guide for Interactive Programme CAPTURE. Abundance Estimation of Closed Animal Populations. Fort Collins, CO, Colorado State University.Google Scholar
Royle, J. A. (2004). N-mixture models for estimating population size from spatially replicated counts. Biometrics 60, 108–115.CrossRefGoogle ScholarPubMed
Schaub, M., Pradel, R., Jenni, L. & Lebreton, J.- D. (2001). Migrating birds stop over longer than usually thought: an improved capture–recapture analysis. Ecology 82, 852–859.Google Scholar
Schwartz, C. J. & Arnason, A. N. (1996). A general methodology for the analysis of capture–recapture experiments in open populations. Biometrics 52, 860–873.CrossRefGoogle Scholar
Seber, G. A. F. (1982). The Estimation of Animal Abundance and Related Parameters.London, Charles Griffin.Google Scholar
Southwood, T. R. E. (1978). Ecological Methods. 2nd edn. London, Chapman & Hall.Google Scholar
Thompson, S. K. (2002). Sampling. 2nd edn. New York, John Wiley & Sons.Google ScholarPubMed
Turner, F. B. (1960). Size and dispersion of a Louisiana population of the cricket frog Acris gryllus. Ecology 41, 258–268.CrossRefGoogle Scholar
Underhill, L. G. & Fraser, M. W. (1989). Bayesian estimate of the number of malachite sunbirds feeding at an isolated and transient nectar resource. Journal of Field Ornithology 60, 381–387.Google Scholar
White, G. C. (1983). Numerical estimation of survival rates from band recovery and biotelemetry data. Journal of Wildlife Management 47, 716–728.CrossRefGoogle Scholar
White, G. C. & Burnham, K. P. (1999). Program MARK; survival rate estimation from both live and dead encounters. Bird Study. 46 (Suppl.), S120–S139.CrossRefGoogle Scholar
Wileyto, E. P., Ewens, W. J. & Mullen, M. A. (1994). Mark–recapture population estimates: a tool for improving interpretation of trapping experiments. Ecology 75, 1109–1117.CrossRefGoogle Scholar
Williams, B. K., Nichols, J. D. and Conroy, M. J. (2002). Analysis and Management of Animal Populations. San Diego, TX, Academic Press.Google Scholar
Wood, G. W. (1963). The capture–recapture technique as a means of estimating populations of climbing cutworms. Canadian Journal of Zoology 41, 47–50.CrossRefGoogle Scholar
Zar, J. H. (1999). Biostatistical Analysis.New Jersey, PA, Prentice-Hall, Inc.Google Scholar
Zippin, C. (1956). An evaluation of the removal method of estimating animal populations. Biometrics 12, 163–169.CrossRefGoogle Scholar

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