Monitoring Epacris muelleri on unreachable cliffs in the Western Blue Mountains, Australia

Blick, Raymond A. J., Fletcher, Andrew, Erskine, Peter D., McCaffrey, Nic B. and Glenn, Vanessa (2013) Monitoring Epacris muelleri on unreachable cliffs in the Western Blue Mountains, Australia. Ecological Management & Restoration, 14 3: 234-237. doi:10.1111/emr.12064


Author Blick, Raymond A. J.
Fletcher, Andrew
Erskine, Peter D.
McCaffrey, Nic B.
Glenn, Vanessa
Title Monitoring Epacris muelleri on unreachable cliffs in the Western Blue Mountains, Australia
Formatted title
Monitoring Epacris muelleri on unreachable cliffs in the Western Blue Mountains, Australia
Journal name Ecological Management & Restoration   Check publisher's open access policy
ISSN 1442-7001
1839-3330
Publication date 2013-09-01
Sub-type Article (original research)
DOI 10.1111/emr.12064
Volume 14
Issue 3
Start page 234
End page 237
Total pages 4
Place of publication Richmond, VIC, Australia
Publisher Wiley-Blackwell Publishing Asia
Language eng
Formatted abstract
Accurate, repeatable estimates of population densities are often desired for vegetation monitoring. However, conventional transect and quadrat field sampling methods are not always applicable to plants such as the rare shrub Epacris muelleri Sond., growing on largely inaccessible cliffs and rock faces. E. muelleri is an ericaceous shrub restricted to the Blue Mountains region in New South Wales, which is to be monitored to detect potential effects of underground coal mining. In this manuscript, we evaluated observer error associated with density estimates to assess suitability of applying the timed-meander method to this species. The results indicate that a visual search method using binoculars can generate repeatable results among observers with very different experience levels. However, there is a large margin of error in estimating density when there are many plants growing in close association or overlapping on a cliff. Nonetheless, with a strict set of protocols and further evaluation, this method shows promise as a rapid yet robust method for carrying out repeatable surveys for quantifying changes in the population.
Keyword Blue Mountains
Cliff survey
Nonpermanent plots
Observer bias
Sample design
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Centre for Mined Land Rehabilitation Publications
Official 2014 Collection
 
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Created: Thu, 14 Nov 2013, 01:35:19 EST by Ray Blick on behalf of Centre For Mined Land Rehabilitation