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Plausible bounds for maximum rate of increase in magpie geese (Anseranas semipalmata): implications for harvest

Brook, Barry William and Whitehead, Peter J. (2005). Plausible bounds for maximum rate of increase in magpie geese (Anseranas semipalmata): implications for harvest. Wildlife Research,32(5):465-471.

Document type: Journal Article
Citation counts: Scopus Citation Count Cited 8 times in Scopus Article | Citations

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IRMA ID A00009xPUB12
Title Plausible bounds for maximum rate of increase in magpie geese (Anseranas semipalmata): implications for harvest
Author Brook, Barry William
Whitehead, Peter J.
Journal Name Wildlife Research
Publication Date 2005
Volume Number 32
Issue Number 5
ISSN 1035-3712   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-25144503449
Start Page 465
End Page 471
Total Pages 7
Place of Publication Collingwood, Australia
Publisher CSIRO Publishing
Field of Research 0608 - Zoology
HERDC Category C1 - Journal Article (DEST)
Abstract We used improved information on fecundity and credible estimates of survival to define the plausible bounds of maximum intrinsic rate of population increase (rm) in magpie geese and explored the management and conservation implications, given current estimates of off-take. We considered previous estimates of rm (0.78, based on time-series analysis of aerial count data) and the corresponding predicted maximum sustainable harvest rates (30-39% per annum) to be excessive, thereby risking poor management decisions. In contrast, our estimate of the maximum plausible range of rm (0.11-0.28) is substantially lower than the previous estimate, and suggests maximum harvest rates of no more than 5-14% of total population size per annum. We consider that it would be unwise to adopt the prior estimate of rm for management policy because it would risk over-exploitation. Our results embody a more precautionary approach to assessing maximum sustainable yield for magpie geese in northern Australia, and are not confounded by migration. The move from a simple empirical model to a partially mechanistic one reflects a significant improvement in understanding, but must nevertheless be viewed as part of an ongoing process of model refinement and testing.
DOI http://dx.doi.org/10.1071/WR02105   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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