Precision and bias of methods for estimating point survey detection probabilities

Ecological Applications

Volumn 14, Issue 3, 2004, Pages 703-712

  Wintle, Brendan A ^a   McCarthy, Michael A ^a   Parris, Kirsten M ^a   Burgman, Mark A ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Bias in methods; Detectability estimates; False absences; Monitoring; Occupancy data; Point surveys; Wildlife surveys; Zero inflated binomial mixture

Indexed keywords

ACCURACY ASSESSMENT; DETECTION METHOD; POPULATION ESTIMATION; SAMPLING BIAS; SPECIES OCCURRENCE;

ZEROS;

EID: 8144229164     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/02-5166     Document Type: Review

References (38)

1. Augustin, N. H., M. A. Mugglestone, and S. T. Buckland. 1996. An autologistic model for the spatial distribution of wildlife. Journal of Applied Ecology 33:339-347.
2. Azuma, D. L., J. A. Baldwin, and B. R. Noon. 1990. Estimating the occupancy of Spotted Owl habitat areas by sampling and adjusting for bias. USDA Forest Service General Technical Report PSW-124.
3. Boulinier, T., J. D. Nichols, J. R. Sauer, J. E. Hines, and K. H. Pollock. 1998. Estimating species richness: the importance of heterogeneity in species detectability. Ecology 79: 1018-1028.
4. Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. 1993. Distance sampling: estimating abundance of biological populations. Chapman and Hall, London, UK.
5. Buckland, S. T., and D. A. Elston. 1993. Empirical models for the spatial distribution of wildlife. Journal of Applied Ecology 30:478-495.
6. Buckland, S. T., I. J. J. Goodie, and D. L. Borchers. 2000. Wildlife population assessment: past developments and future directions. Biometrics. 56:1-12.
7. Burnham, K. P., and W. S. Overton. 1979. Robust estimation of population size when capture probabilities vary among animals. Ecology 60:927-936.
8. Cox, D. R., and E. J. Snell. 1989. Analysis of binary data. Second edition. Chapman and Hall, London, UK.
9. Dettmers, R., D. A. Buehller, J. G. Bartlett, and N. A. Klaus. 1999. Influence of point count length and repeated visits on habitat model performance. Journal of Wildlife Management 63:815-823.
10. Efron, B., and R. J. Tibshirani. 1993. An introduction to the bootstrap. Chapman and Hall, London, UK.
11. Fleishman, E., R. Macnally, J. P. Fay, and D. D. Murphy. 2001. Modeling and predicting species occurrence using broad-scale environmental variables: an example with butterflies of the Great Basin. Conservation Biology 15:1674-1685.
12. Goldwasser, L., S. Ferson, and L. Ginzburg. 2000. Variability and measurement error in extrinction risk analysis: the Northern Spotted Owl on the Olympic Peninsula. Pages 169-187 in S. Ferson and M. A. Burgman, editors. Quantitative methods for conservation biology. Springer-Verlag, New York, New York, USA.
13. Greenwood, J. D. Jr. 1996. Basic techniques. Pages 11-109 in W. J. Sutherland, editor. Ecological census techniques: a handbook. Cambridge University Press, London, UK.
14. Hastie, T., and R. Tibshirani. 1990. Generalized additive models. Chapman and Hall, London, UK.
15. Hellmann, J. J., and G. W. Fowler. 1999. Bias, precision, and accuracy of four measures of species richness. Ecological Applications 9:824-834.
16. Hilborn, R., and M. Mangel. 1997. The ecological detective: confronting models with data. Princeton University Press, Princeton, New Jersey, USA.
17. Johnson, N. J., S. Kotz, and A. W. Kemp. 1992. Univariate discrete distributions. Second edition John Wiley, New York, New York, USA.
18. Kemp, A. W., and C. D. Kemp. 1988. A rapid and efficient estimation procedure for the negative binomial distribution. Biometrical Journal 29:865-873.
19. Kery, M. 2002. Inferring the absence of a species: a case study of snakes. Journal of Wildlife Management 66:330-338.
20. Link, W. A., R. J. Barker, and J. R. Sauer. 1994. Within site variability in surveys of wildlife populations. Ecology 75: 1097-1108.
21. MacKenzie, D. I., J. D. Nichols, G. B. Lachman, S. Droege, J. A. Royle, and C. A. Langtimm. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology 83:2248-2255.
22. Mathsoft, I. 1999. S-PLUS 2000 Guide to statistics. Volume 1. Data Analysis Products Division, Seattle Washington, USA.
23. McCullagh, P., and J. A. Nelder. 1989. Generalised linear models. Chapman and Hall, London, UK.
24. Microsoft. 1997. Excel 97, Microsoft Corporation.
25. Moilanen, A. 2002. Implications of empirical data quality to metapopulation model parameter estimation and application. Oikos 96:516-530.
26. NSW NPWS (New South Wales National Parksand Wildlife Service). 2000. Modelling areas of habitat significance for fauna and flora in the Southern CRA. NPWS NSW, Canberra, New South Wales, Australia.
27. Otis, D. L., K. P. Burnham, G. C. White, and D. R. Anderson. 1978. Statistical inference from capture data on closed animal populations. Wildlife Monographs 62:1-135.
28. Pereira, J. M. C., and R. M. Itami. 1991. GIS-based modelling using logistic multiple regression: a case study of the Mt. Graham red squirrel. Photogrammetric Engineering and Remote Sensing 57:1475-1486.
29. Quenouille, M. H. 1956. Notes on bias in estimation. Biometrika 43:353-360.
30. Rexstad, E., and K. P. Burnham. 1991. User's guide for interactive program CAPTURE. Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, Fort Collins, Colorado, USA.
31. Stauffer, H. B., C. J. Ralph, and S. L. Miller. 2002. Incorporating uncertainty of detection into presence-absence survey design and analysis, with application to the Marbled Murrelet: A component of accuracy assessment. Pages 357-366 in J. M. Scott, P. J. Heglund, M. Morrison, M. Raphael, J. Haufler, and B. Wall, editors. Predicting species occurrences: issues of scale and accuracy. Island Press, Covello, California, USA.
32. Tyre, A. J., B. Tenhumberg, S. A. Field, D. Niejalke, K. Parris, and H. P. Possingham. 2003. Improving precision and reducing bias in biological surveys: estimating false-negative error rates. Ecological Applications 13:1790-1801.
33. Venables, W. M., D. M. Smith, and the R Development Core Team. 2003. An introduction to R. Version 1.7.1. Network Theory, Bristol, UK.
34. Wenjun Li, Z. W., Zhijun Ma, Hongxiao Tang. 1997. A regression model for the spatial distribution of red-crown crane in Yancheng Biosphere Reserve, China. Ecological Modelling 103:115-121.
35. White, G. C. 1992. PC SURVIV user's manual. Department of Fishery and Wildlife Biology, Colorado State University, Fort Collins, Colorado, USA.
36. White, G. C. and K. P. Burnham. 1999. Program MARK: survival estimation from populations of marked animals. Bird Study 46(Supplement): 120-138.
37. Williams, B. K., J. D. Nichols, and M. J. Conroy. 2002. Analysis and management of animal populations. Academic Press, San Diego, California, USA.
38. Wolfinger, R., and M. O'Connell. 1993. Generalised linear mixed models: a psuedo-likelihood approach. Journal of Statistical and Computational Simulation 48:233-243.