Methods for Surveying the Abundance and Distribution of Arboreal Marsupials in a South Coast Forest of New-South-Wales

Davey, S. M.

doi:10.1071/wr9900427

Cited by 29 publications

(28 citation statements)

References 27 publications

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“…Other differences between the two types of survey include: speed; a potentially greater element of surprise to animals in vehicle-based surveys, given the speed of approach; and, again in vehiclebased surveys, a lower probability of detecting animals by sound (not of major concern for koomal and ngwayir, which rarely vocalise and are stationary much of the time: MacLennan 1984; A. Wayne, personal observation). Other studies that used vehicle-based spotlight surveys for arboreal marsupials include those of Davey (1990), Bennett et al (1991) and Jones et al (1994a). Comparisons are made between the findings of our study and those of other relevant studies of Australian arboreal marsupials, including studies using pedestrian-based surveys.…”

Section: Discussionmentioning

confidence: 57%

“…Goldingay and Kavanagh 1988;Goldingay and Sharpe 2004a), but also may result from seasonal differences in habitat use and food availability (e.g. Kavanagh 1984;Davey 1990;Eyre 2004). Other studies have found no seasonal effects on detection.…”

Section: Most Breeding Activity Of Ngwayir (77%) Occurs Inmentioning

confidence: 99%

“…Furthermore, it is often the most effective conventional method available for many species (e.g. Davey 1990;Catling et al 1997). There are, however, some limitations associated with this method.…”

Section: Introductionmentioning

confidence: 99%

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Factors affecting the detection of possums by spotlighting in Western Australia

Wayne

Cowling

Rooney³

et al. 2005

Wildl. Res.

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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 vehiclebased spotlight surveys of possums within native jarrah (Eucalyptus marginata) forest was conducted on three transects over eight years (1996)(1997)(1998)(1999)(2000)(2001)(2002)(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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Section: Discussionmentioning

confidence: 57%

Section: Most Breeding Activity Of Ngwayir (77%) Occurs Inmentioning

confidence: 99%

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Factors affecting the detection of possums by spotlighting in Western Australia

Wayne

Cowling

Rooney³

et al. 2005

Wildl. Res.

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“…A 185-km disjunction to an outlying segment of the range in central western Victoria, is interrupted by a single site record (Menkhorst et al 1988;Traill 1998). There are several isolated populations of squirrel gliders in NSW, including one on Barrenjoey Peninsula on the north side of Sydney, and one on the NSW mid-south coast (Davey 1990). Records of possible sightings on the far-south coast of NSW (see Braithwaite 1983) have never been confirmed, despite extensive field surveys in the source areas (Kavanagh 1984(Kavanagh , 2000Goldingay and Kavanagh 1995;Goldingay and Daly 1997).…”

Section: Introductionmentioning

confidence: 99%

How do we conserve the squirrel glider in Brisbane's urban matrix?

Goldingay¹,

Sharpe²

2004

Conservation of Australia's Forest Fauna

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Forested habitat has been extensively cleared in south-east Queensland. We used the ALEX computer program to conduct a preliminary population viability analysis (PVA) for squirrel gliders Petaurus norfolcensis living in a set of habitat fragments, embedded in an urban matrix in Brisbane. Our basic aim was to guide management to ensure the long-term persistence of the squirrel glider in this region. Corridors linking the fragments in our study area are poorly vegetated and many are cut by arterial roads. Five remnants that we believe define the likely limit of glider dispersal (the glider metapopulation), had an unacceptably high probability of glider extinction after 100 years. When catastrophes such as wildlfire of modest frequency (1 in 20 years) were included, the probability of extinction increased. It appears that large nearby remnants must be functionally linked to the metapopulation to ensure long-term persistence. This may require some novel approaches to habitat restoration to achieve. The habitat quality of all connecting corridors must be enhanced to reduce mortality during dispersal. Edge effects such as tree die-back are also likely to reduce the available cover of habitat over time and will need to be managed. Our review of the life history of the squirrel glider has highlighted how poor our understanding is of most components that form important inputs to a PVA. The significance of this was evident by increasing annual mortality above the approximate values used. This led to a marked increase in the probability of metapopulation extinction, suggesting predictions should be viewed with caution. Further detailed field studies are needed to refine the use of PVA for the squirrel glider.

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“…Surveying animals in a forest environment poses serious challenges, since the animals live in a 3-dimensional environment (in the tropical rainforest up to heights of 30 to 40 m in the canopy) and humans, normally, are confined to the forest floor (Davey 1990). Likewise, surveying animals at night can be demanding for an essentially diurnal primate like we humans (Charles-Dominique & Bearder 1979, Duckworth 1998.…”

Section: Introductionmentioning

confidence: 99%

Densities, distribution and detectability of a small nocturnal primate (Javan slow loris Nycticebus javanicus) in a montane rainforest

Nekaris¹,

Pambudi²,

Susanto³

et al. 2014

Endang. Species. Res.

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Nocturnal mammals can be challenging to survey and, especially for many species that live in dense forest habitats, limited information is available on densities and distributions. We surveyed the endemic Javan slow loris Nycticebus javanicus in the montane forests of Mount Gede Pangrango, West Java, Indonesia. Surveys were conducted on 23 transects (260 h covering some 93 km) walking at variable speeds between 200 and 800 m h , with an overall density of 15.6 ind. km −2 (95% CI 9.7 to 25.2 ind. km −2 ). Encounter rates per kilometre were strongly influenced by the speed at which transects were walked, with fewer lorises detected at higher speeds. This effect was absent when considering encounter rates per hour. Detectability and behavior of Javan slow lorises were not affected by the amount of lunar light and, in contrast to studies of some of their congeners, we found no evidence of lunar phobia or lunar philia. Our study shows that slow lorises are not homogeneously distributed in their montane habitat and occur at intermediate densities. However, encounter rates did not differ between disturbed and primary forest. Analysis of data from multiple surveys of lorisforms, including this one, reveals no statistically significant relationship between survey effort or the speed at which transects are walked and estimated densities, but speed is positively correlated with encounter rates.

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Methods for Surveying the Abundance and Distribution of Arboreal Marsupials in a South Coast Forest of New-South-Wales

Cited by 29 publications

References 27 publications

Factors affecting the detection of possums by spotlighting in Western Australia

Factors affecting the detection of possums by spotlighting in Western Australia

How do we conserve the squirrel glider in Brisbane's urban matrix?

Densities, distribution and detectability of a small nocturnal primate (Javan slow loris Nycticebus javanicus) in a montane rainforest

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