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Article << Previous     |     Next >>   Contents Vol 32(8)

Factors affecting the detection of possums by spotlighting in Western Australia

A. F. Wayne A C D, A. Cowling B, J. F. Rooney C, C. G. Ward C, I. B. Wheeler C, D. B. Lindenmayer A, C. F. Donnelly B

A Centre for Resource and Environmental Studies, The Australian National University, Canberra, ACT 0200, Australia.
B Statistical Consulting Unit, The Australian National University, Canberra, ACT 0200, Australia.
C Science Division, Department of Conservation and Land Management, Locked Bag 2, Manjimup, WA 6258, Australia.
D Corresponding author: Email: adrianw@calm.wa.gov.au
 
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Abstract

This paper describes how environmental factors, survey method procedures and differences in forest structure resulting from logging relate to the detection of koomal (common brushtail possum, Trichosurus vulpecula hypoleucus) and ngwayir (western ringtail possum, Pseudocheirus occidentalis). A total of 169 vehicle-based spotlight surveys of possums within native jarrah (Eucalyptus marginata) forest was conducted on three transects over eight years (1996–2003). Up to 5.7 koomal and up to 3.3 ngwayir were detected per kilometre per transect side. Only one ngwayir was detected during the eight surveys conducted between 2001 and 2003. More koomal were seen in spring and autumn (i.e. September–November and March–May respectively) and more ngwayir were seen between October and April. Although surveys were not conducted on very rainy or excessively windy nights, fewer possums were nonetheless seen on nights following rainy days and on cold nights. Cloud cover also affected sightings of koomal. The time taken to complete the surveys increased in conjunction with the number of possums detected, on account of the time required to record data. The importance of standardising travelling speed also is emphasised. Possum spotlight counts differed between recently logged and unlogged areas. However, these findings were not supported by complementary koomal abundance estimates derived from trapping, suggesting that vegetation structure may affect detectability. Factors such as the lunar cycle, wind speed and survey start time after sunset did not significantly affect detection rates of either species. On the basis of these findings, specific survey conditions can be selected to improve spotlight detection efficiency.

   
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