Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 495172
Title Drivers and annual estimates of marine wildlife entanglement rates : A long-term case study with Australian fur seals
Author(s) McIntosh, R.R.; Kirkwood, Roger; Sutherland, D.R.; Dann, Peter
Source Marine Pollution Bulletin 101 (2015)2. - ISSN 0025-326X - p. 716 - 725.
DOI http://dx.doi.org/10.1016/j.marpolbul.2015.10.007
Department(s) IMARES Ecosystemen
IMARES Onderzoeksformatie
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Arctocephalus pusillus doriferus - Fisheries interactions - Ghost nets - Marine debris - Otariid - Plastic
Abstract

Methods of calculating wildlife entanglement rates are not standardised between studies and often ignore the influence of observer effort, confounding comparisons. From 1997-2013 we identified 359 entangled Australian fur seals at Seal Rocks, south-eastern Australia. Most entanglement materials originated from commercial fisheries; most frequently entangling pups and juveniles. Using Generalized Additive Mixed Models, which incorporated observer effort and survey frequency, we identified that entanglements were observed more frequently amongst pups from July to October as they approached weaning. Neither the decline in regional fishing intensity nor changing seal population size influenced the incidence of entanglements. Using the models, we estimated that 302 (95% CI. =. 182-510) entangled seals were at Seal Rocks each year, equivalent to 1.0% (CI. =. 0.6-1.7%) of the site population. This study highlights the influence of observer effort and the value of long-term datasets for determining the drivers of marine debris entanglements.

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