Drivers and annual estimates of marine wildlife entanglement rates: A long-term case study with Australian fur seals

• Published in: Marine pollution bulletin Vol. 101; no. 2; pp. 716 - 725
• Main Authors: McIntosh, Rebecca R., Kirkwood, Roger, Sutherland, Duncan R., Dann, Peter
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 30.12.2015
• Subjects: Age Factors; Animals; Arctocephalus pusillus doriferus; Australia; Environmental Monitoring - methods; Environmental Monitoring - statistics & numerical data; Female; Fisheries - instrumentation; Fisheries interactions; Fur Seals; Ghost nets; Longitudinal Studies; Male; Marine; Marine debris; Models, Theoretical; Otariid; Plastic; Population Density; South Australia; Water Pollutants, Chemical; Water Pollution - adverse effects; Australia; South Australia; PSE, Australia, Bass Strait, Seal Rocks; Arctocephalus pusillus doriferus; Plastic; Ghost nets; Otariid; Fisheries interactions; Marine debris
• ISSN: 0025-326X; 1879-3363
• DOI: 10.1016/j.marpolbul.2015.10.007

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. •We modelled long-term drivers of Australian fur seal entanglement rates.•Applying GAMM models also allowed the estimation of total entanglements per year.•Observer effort was a stronger driver than fishing intensity and population size.•More pups were entangled as they approached weaning each year.•Estimated annual rates were an order of magnitude higher than observed rates.