Search References

Thorne LH, Baird RW, Webster DL, et al (2019) Predicting fisheries bycatch: A case study and field test for pilot whales in a pelagic longline fishery. Diversity and Distributions 25:909–923. https://doi.org/10.1111/ddi.12912

Tremblay-Boyer L, Berkenbusch K (2020) Data review and potential assessment approaches for Mobulids in the WCPO. In: WCPFC Scientific Committee 16th Regular Session. WCPFC-SC16-2020/SA-IP-12, Electronic Meeting, p 56

Tsuji S (2021) Quasi-Quantitative Risk Assessment Approach to Facilitate Prioritization in Implimenting Ecosystem-Based Approach to Fisheries Management. Col Vol Sci Pap ICCAT 78:126–138

Tsuji S, Ochi D (2023) CCSBT Multi-year Seabird Strategy and its action plan -- toward establishment of global risk assessment framework of seabird bycatch by tuna longliners. In: ACAP - 11th Meeting of the Seabird Bycatch Working Group. SBWG11 Inf 05, Edinburgh, UK

Tuck GN, Phillips RA, Small C, et al (2011) An assessment of seabird–fishery interactions in the Atlantic Ocean. ICES J Mar Sci 68:1628–1637. https://doi.org/10.1093/icesjms/fsr118

Vert-Pre KA, Payette N, Carrella E, et al (2022) Development of an Agent-Based Bio-Economic Model of Eastern Pacific Tropical Tunas Fisheries (POSEIDON). In: IOTC - 3rd Ad Hoc Working Group on FADs. IOTC-2022-WGFAD03-17, Online

Verutes GM, Johnson AF, Caillat M, et al (2020) Using GIS and stakeholder involvement to innovate marine mammal bycatch risk assessment in data-limited fisheries. PLOS ONE 15:e0237835. https://doi.org/10.1371/journal.pone.0237835

Votier SC, Bicknell A, Cox SL, et al (2013) A Bird’s Eye View of Discard Reforms: Bird-Borne Cameras Reveal Seabird/Fishery Interactions. PLoS ONE 8:e57376. https://doi.org/10.1371/journal.pone.0057376

Wade MW, Fisher M, Matich P (2022) Comparison of two machine learning frameworks for predicting aggregatory behaviour of sharks. Journal of Applied Ecology 59:2767–2778. https://doi.org/10.1111/1365-2664.14273

Walker N, Abraham E (2017) Updating New Zealand’s bycatch estimations and risk assessment - including 2015-16. In: ACAP - Eighth Meeting of the Seabird Bycatch Working Group. SBWG8-Doc-INF30, Wellington, New Zealand

Walker N, Abraham E (2016) Updating New Zealand’s bycatch extrapolation and risk assessment - including 2013-14. In: ACAP - Seventh Meeting of the Seabird Bycatch Working Group. ACAP, Serena, Chile

Walker N, Ellis J, Coelho R, et al (2018) Exploring the use of Length Based Indicators for Blue Shark in the Indian Ocean. In: IOTC - 14th Working Party on Ecosystems and Bycatch. Cape Town, South Africa, p 21

Walker N, Cryer M, Abraham E, Richard Y (2014) Updating New Zealand’s level two seabird risk assessment. ACAP Seabird Bycatch Working Group, Punta del Este, Uruguay

Wallace BP, DiMatteo AD, Bolten AB, et al (2011) Global Conservation Priorities for Marine Turtles. PLoS ONE 6:e24510. https://doi.org/10.1371/journal.pone.0024510

Wallace Bryan P., Heppell Selina S., Lewison Rebecca L., et al (2008) Impacts of fisheries bycatch on loggerhead turtles worldwide inferred from reproductive value analyses. Journal of Applied Ecology 45:1076–1085. https://doi.org/10.1111/j.1365-2664.2008.01507.x

Wallace BP, Kot CY, DiMatteo AD, et al (2013) Impacts of fisheries bycatch on marine turtle populations worldwide: toward conservation and research priorities. Ecosphere 4:art40. https://doi.org/10.1890/ES12-00388.1

Walls RHL, Dulvy NK (2021) Tracking the rising extinction risk of sharks and rays in the Northeast Atlantic Ocean and Mediterranean Sea. Sci Rep 11:15397. https://doi.org/10.1038/s41598-021-94632-4

Wang J, Gao C, Wu F, et al (2023) Environmental Characteristics Associated with the Presence of the Pelagic Stingray (Pteroplatytrygon violacea) in the Pacific High Sea. Fishes 8:46. https://doi.org/10.3390/fishes8010046

Wanless RM, Misiak W (2016) A status update of seabirds in the IOTC area. In: IOTC - 12th Working Party on Ecosystems and Bycatch. IOTC-2016-WPEB12-28

Ward-Paige CA, Keith DM, Worm B, Lotze HK (2012) Recovery potential and conservation options for elasmobranchs. Journal of Fish Biology 80:1844–1869. https://doi.org/10.1111/j.1095-8649.2012.03246.x

Waugh SM, Baker GB, Gales R, Croxall JP (2008) CCAMLR process of risk assessment to minimise the effects of longline fishing mortality on seabirds. Marine Policy 32:442–454. https://doi.org/10.1016/j.marpol.2007.08.011

Waugh SM, Filippi DP, Walker N, Kirby DS (2008) Preliminary results of an Ecological Risk Assessment for New Zealand fisheries interactions with seabirds and marine mammals. WCPFC, Port Moresby, PNG

Welch H, Clavelle T, White TD, et al (2024) Unseen overlap between fishing vessels and top predators in the northeast Pacific. Science Advances 10:eadl5528. https://doi.org/10.1126/sciadv.adl5528

Welch H, Savoca MS, Brodie S, et al (2023) Impacts of marine heatwaves on top predator distributions are variable but predictable. Nat Commun 14:5188. https://doi.org/10.1038/s41467-023-40849-y

Wilcox C, Hardesty B d., Sharples R, et al (2013) Ghostnet impacts on globally threatened turtles, a spatial risk analysis for northern Australia. Conservation Letters 6:247–254. https://doi.org/10.1111/conl.12001