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

Estimating the population size of a threatened arboreal marsupial: use of distance sampling to dispense with ad hoc survey techniques

Paul J. de Tores A C and Sue Elscot A B
+ Author Affiliations
- Author Affiliations

A Department of Environment and Conservation, Western Australian Wildlife Research Centre, PO Box 51, Wanneroo, WA 6946, Australia.

B Green Iguana, PO Box 601, Dunsborough, WA 6281, Australia.

C Corresponding author. Email: paul.detores@dec.wa.gov.au

Wildlife Research 37(6) 512-523 https://doi.org/10.1071/WR10090
Submitted: 29 May 2010  Accepted: 30 August 2010   Published: 18 October 2010

Abstract

Context.: Long-term land-use decisions potentially affecting the conservation status of rare fauna are often based on a dearth of relevant biological information and population estimates are regularly derived from ad hoc methodologies. This can significantly affect the outcomes from development assessment and approval processes.

Aim.: Our aims were to apply distance-sampling techniques to derive robust, quantitative estimates of the population size of a threatened arboreal marsupial, the western ringtail possum (Pseudocheirus occidentalis Thomas, 1888), demonstrate the advantages of this approach and, in doing so, provide conservation managers, decision makers and consultants with a reliable framework for surveying the species.

Methods.: We used line-transect sampling to derive estimates of density and abundance for P. occidentalis at two sites in south-western Western Australia where estimates were previously derived through ad hoc techniques.

Key results.: Our findings support the assertion that previous surveys of P. occidentalis populations have underestimated the population size to a varying extent at both of our survey sites. Land-use and development-application decisions have previously been based on similar surveys.

Conclusions.: Distance sampling, if applied routinely when surveying P. occidentalis, will reduce the uncertainty associated with derived estimates of abundance.

Implications.: Appropriate use of distance-sampling methods will enable managers and decision makers to assess more quantitatively the potential effect from, and place appropriate approval conditions on, proposals that modify or destroy P. occidentalis habitat. The use of the program Distance will enable such decisions to be based on robust, repeatable estimates of population size, with quantified confidence limits and variance estimates.

Additional keywords: detection function, line transect, post-processed differential GPS, Pseudocheirus occidentalis, uncertainty, Western Australia, western ringtail possum.


References

Buckland, S. T., Goudie, I. B. J., and Borchers, D. L. (2000). Wildlife population assessment: past developments and future directions. Biometrics 56, 1–12.
Wildlife population assessment: past developments and future directions.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3c3ks1ajsw%3D%3D&md5=d07c5efb103eb450054683cf3453909bCAS | 10783771PubMed |

Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., and Thomas, L. (2001). ‘Introduction to Distance Sampling. Estimating Abundance of Biological Populations.’ (Oxford University Press: Oxford, UK.)

Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., and Thomas, L. (2004). ‘Advanced Distance Sampling. Estimating Abundance of Biological Populations.’ (Oxford University Press: Oxford, UK.)

Buckland, S. T., Russell, R. E., Dickson, B. G., Saab, V. A., Gorman, D. N., and Block, W. M. (2009). Analyzing designed experiments in distance sampling. Journal of Agricultural Biological & Environmental Statistics 14, 432–442.
Analyzing designed experiments in distance sampling.Crossref | GoogleScholarGoogle Scholar |

Burnham, K. P., and Anderson, D. R. (2002). ‘Model Selection and Multimodel Inference. A Practical Information-Theoretic Approach.’ 2nd edn. (Springer-Verlag: New York.)

Burnham, K. P., Anderson, D. R., and Laake, J. L. (1985). Efficiency and bias in strip and line transect sampling. The Journal of Wildlife Management 49, 1012–1018.
Efficiency and bias in strip and line transect sampling.Crossref | GoogleScholarGoogle Scholar |

Caughley, G. (1977). ‘Analysis of Vertebrate Populations.’ (John Wiley and Sons: Brisbane.)

de Tores, P. J. (2008). Western ringtail possum. In ‘The Mammals of Australia’. 3rd edn. (Eds S. Van Dyck and R. Strahan.) pp. 253–255. (Reed New Holland: Sydney.)

de Tores, P. J., Hayward, M. W., and Rosier, S. M. (2004). The western ringtail possum, Pseudocheirus occidentalis, and the quokka, Setonix brachyurus, case studies: Western Shield review – February 2003. Conservation Science Western Australia 5, 235–257.

Elscot, S. (2007). Survey for the western ringtail possum Pseudocheirus occidentalis within Lots 4 and 5 Bussell Highway, Busselton, Western Australia. Unpublished report prepared for Gold Estate Holdings Pty Ltd, Dunsborough, WA.

Fewster, R. M., Buckland, S. T., Burnham, K. P., Borchers, D. L., Jupp, P. E., Laake, J. L., and Thomas, L. (2009). Estimating the encounter rate variance in distance sampling. Biometrics 65, 225–236.
Estimating the encounter rate variance in distance sampling.Crossref | GoogleScholarGoogle Scholar | 18363772PubMed |

Hedley, S. L., and Buckland, S. T. (2004). Spatial models for line transect sampling. Journal of Agricultural Biological & Environmental Statistics 9, 181–199.
Spatial models for line transect sampling.Crossref | GoogleScholarGoogle Scholar |

IUCN (2009). Western ringtail possum, Pseudocheirus occidentalis. In ‘IUCN Red List of Threatened Species. Version 2009.1’. Available at www.iucnredlist.org [accessed 4 April 2009]

Jones, B., Henry, J., and Francesconi, M. (2007). An important local population of the western ringtail possum, Pseudocheirus occidentalis: a 2006 survey study of the population and habitat in the Busselton localities of Siesta Park and Kealy. Unpublished report prepared for GeoCatch. Busselton, WA.

Jones, B. A., How, R. A., and Kitchener, D. J. (1994a). A field study of Pseudocheirus occidentalis (Marsupialia: Petauridae). I. Distribution and habitat. Wildlife Research 21, 175–188.
A field study of Pseudocheirus occidentalis (Marsupialia: Petauridae). I. Distribution and habitat.Crossref | GoogleScholarGoogle Scholar |

Jones, B. A., How, R. A., and Kitchener, D. J. (1994b). A field study of Pseudocheirus occidentalis (Marsupialia: Petauridae). II. Population studies. Wildlife Research 21, 189–202.
A field study of Pseudocheirus occidentalis (Marsupialia: Petauridae). II. Population studies.Crossref | GoogleScholarGoogle Scholar |

Laing, S. E., Buckland, S. T., Burns, R. W., Lambie, D., and Amphlett, A. (2003). Dung and nest surveys: estimating decay rates. Journal of Applied Ecology 40, 1102–1111.
Dung and nest surveys: estimating decay rates.Crossref | GoogleScholarGoogle Scholar |

MacKenzie, D. I., Nichols, J. D., Royle, J. A., Pollock, K. H., Bailey, L. L., and Hines, J. E. (2006). ‘Occupancy Estimation and Modeling. Inferring Patterns and Dynamics of Species Occurrence.’ (Elsevier: Burlington, MA.)

Marques, T. A., Thomas, L., Fancy, S. G., and Buckland, S. T. (2007). Improving estimates of bird density using multiple covariate distance sampling. The Auk 124, 1229–1243.
Improving estimates of bird density using multiple covariate distance sampling.Crossref | GoogleScholarGoogle Scholar |

Pollock, K. H., Nichols, J. D., Simons, T. R., Farnsworth, G. L., Bailey, L. L., and Sauer, J. R. (2002). Large scale wildlife monitoring studies: statistical methods for design and analysis. Environmetrics 13, 105–119.
Large scale wildlife monitoring studies: statistical methods for design and analysis.Crossref | GoogleScholarGoogle Scholar |

StataCorp (2006). ‘Stata Statistical Software. Release 10.’ (Stata Corporation: College Station, TX.)

Thomas, L., Buckland, S. T., Rexstad, E. A., Laake, J. L., Strindberg, S., Hedley, S. L., Bishop, J. R. B., Marques, T. A., and Burnham, K. P. (2010). Distance software: design and analysis of distance sampling surveys for estimating population size. Journal of Applied Ecology 47, 5–14.
Distance software: design and analysis of distance sampling surveys for estimating population size.Crossref | GoogleScholarGoogle Scholar | 20383262PubMed |

Wayne, A. F., Cowling, A., Lindenmayer, D. B., Ward, C. G., Vellios, C. V., Donnelly, C. F., and Calver, M. C. (2006). The abundance of a threatened arboreal marsupial in relation to anthropogenic disturbances at local and landscape scales in Mediterranean-type forest in south-west Australia. Biological Conservation 127, 463–476.
The abundance of a threatened arboreal marsupial in relation to anthropogenic disturbances at local and landscape scales in Mediterranean-type forest in south-west Australia.Crossref | GoogleScholarGoogle Scholar |

Williams, B. L., Nichols, J. D., and Conroy, M. J. (2002). ‘Analysis and Management of Animal Populations.’ (Academic Press: San Diego, CA.)