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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/1879
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Title: Estimating the Barents Sea polar bear subpopulation size
Authors: Aars, J
Marques, Tiago Andre Lamas Oliveira
Andersen, M
Belikov, S
Boltunov, A
Buckland, Stephen Terrence
Wiig, O
Keywords: Helicopter surveys
Distance sampling
Line transects
Polar bears
Barents Sea
Subpopulation size
QA Mathematics
QL Zoology
QH Natural history
Issue Date: Jan-2009
Citation: Aars , J , Marques , T A L O , Andersen , M , Belikov , S , Boltunov , A , Buckland , S T & Wiig , O 2009 , ' Estimating the Barents Sea polar bear subpopulation size ' Marine Mammal Science , vol 25 , no. 1 , pp. 35-52 .
Abstract: A large scale survey was conducted in August 2004 to estimate the size of the Barents Sea polar bear subpopulation. We combined helicopter line transect distance sampling surveys in most of the survey area with total counts in small areas not suitable for distance sampling. Due to weather constraints we failed to survey some of the areas originally planned to be covered by distance sampling. For those, abundance was estimated using a ratio estimator, in which the auxiliary variable was the number of satellite telemetry fixes (in previous years). We estimated that the Barents Sea subpopulation had approximately 2650 (95% CI approx 1900 to 3600) bears. Given current intense interest in polar bear management due to the potentially disastrous effects of climate change, it is surprising that many subpopulation sizes are still unknown. We show here that line transect sampling is a promising method for addressing the need for abundance estimates.
Version: Postprint
Postprint
Status: Peer reviewed
URI: http://hdl.handle.net/10023/1879
DOI: http://dx.doi.org/10.1111/j.1748-7692.2008.00228.x
ISSN: 0824-0469
Type: Journal article
Rights: © 2008 by the Society for Marine Mammalogy. Deposited according to publisher policies. The definitive version is available from http://onlinelibrary.wiley.com
Appears in Collections:University of St Andrews Research
Mathematics & Statistics Research



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