Search References

Curtis KA (2020) Assessing Observer Coverage Performance for Rare Event Bycatch. In: IATTC - 11th Meeting of the Scientific Advisory Committee. IATTC SAC-11 INF rare bycatch events, Electronic Meeting, p 13

Hines E, Ponnampalam LS, Junchompoo C, et al (2020) Getting to the bottom of bycatch: a GIS-based toolbox to assess the risk of marine mammal bycatch. Endangered Species Research 42:37–57. https://doi.org/10.3354/esr01037

Pashkow B (2020) Migratory Connectivity of the Chatham Albatross: Assessing Vulnerability to Longline Fishing Throughout Their Migratory Cycle. Masters Thesis, Duke University

Zhou C, Brothers N, Arrington-Bowder J, Jiao Y (2020) Species ranking of seabird bait-taking capability

Parsa M, Emery TJ, Williams AJ, Nicol S (2020) An empirical Bayesian approach for estimating fleet- and vessel-level bycatch rates in fisheries with effort heterogeneity and limited data: a prospective tool for measuring bycatch mitigation performance. ICES J Mar Sci 77:921–929. https://doi.org/10.1093/icesjms/fsaa020

De Wysiecki AM, Sánchez-Carnero N, Irigoyen AJ, et al (2020) Using temporally explicit habitat suitability models to infer the migratory pattern of a large mobile shark. Can J Fish Aquat Sci 77:1529–1539. https://doi.org/10.1139/cjfas-2020-0036

Booth H, Squires D, Milner‐Gulland EJ (2020) The mitigation hierarchy for sharks: A risk-based framework for reconciling trade-offs between shark conservation and fisheries objectives. Fish and Fisheries 21:269–289. https://doi.org/https://doi.org/10.1111/faf.12429

Okamoto K, Kanaiwa M, Ochi D (2020) Machine learning approach to estimate species composition of unidentified sea turtles that were recorded on the Japanese longline observer program. ICCAT Collect Vol Sci Papers 76:175–178

Norriss JV, Fisher EA, Denham AM (2020) Seabird bycatch in a sardine purse seine fishery. ICES Journal of Marine Science 77:2971–2983. https://doi.org/10.1093/icesjms/fsaa179

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

Lopez J, Alvarez-Berastegui D, Soto M, Murua H (2020) Using fisheries data to model the oceanic habitats of juvenile silky shark (Carcharhinus falciformis) in the tropical eastern Atlantic Ocean. Biodivers Conserv 29:2377–2397. https://doi.org/10.1007/s10531-020-01979-7

Zhou S, Dunn M, Williams A (2020) Appropriate reference points for WCPO elasmobranchs. Report to the Western and Central Pacific Fisheries Commission. WCPFC-SC16-2020/MI-IP-21, Brisbane, Australia

Stock BC, Ward EJ, Eguchi T, et al (2020) Comparing predictions of fisheries bycatch using multiple spatiotemporal species distribution model frameworks. Can J Fish Aquat Sci 77:. https://doi.org/10.1139/cjfas-2018-0281

Hanke AR, Domingo A (2020) Indicators of Orcinus orca interactions with pelagic longline gear in the ICCAT convention area. ICCAT Collect Vol Sci Papers 76:84–96

Mannocci L, Forget F, Tolotti MT, et al (2020) Predicting bycatch hotspots in tropical tuna purse seine fisheries at the basin scale. Global Ecology and Conservation 24:e01393. https://doi.org/10.1016/j.gecco.2020.e01393

Sherley RB, Winker H, Rigby CL, et al (2020) Estimating IUCN Red List population reduction: JARA—A decision-support tool applied to pelagic sharks. Conservation Letters 13:e12688. https://doi.org/10.1111/conl.12688

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

Bowlby HD, Taylor N, Carlson J (2020) Quantifying horizontal overlap between longline fleets and porbeagle distribution for ecological risk assessment. Collect Vol Sci Pap ICCAT 77:169–179

Arlidge WNS, Alfaro-Shigueto J, Ibanez-Erquiaga B, et al (2020) Evaluating elicited judgments of turtle captures for data-limited fisheries management. Conservation Science and Practice 2:e181. https://doi.org/10.1111/csp2.181

Becker EA, Carretta JV, Forney KA, et al (2020) Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees. Ecology and Evolution 10:5759–5784. https://doi.org/10.1002/ece3.6316

Bi R, Jiao Y, Bakka H, Browder JA (2020) Long-term climate ocean oscillations inform seabird bycatch from pelagic longline fishery. ICES J Mar Sci 77:668–679. https://doi.org/10.1093/icesjms/fsz255

Zhou C, Brothers N, Browder J, Jiao Y (2020) Seabird bycatch loss rate variability in pelagic longline fisheries. Biological Conservation 247:108590. https://doi.org/10.1016/j.biocon.2020.108590

Peatman T, Nicol S (2020) Updated longline bycatch estimates in the WCPO. In: WCPFC Scientific Committee 16th Regular Session. WCPFC-SC16-2020/ST-IP-11, Electronic Meeting

Richard Y, Abraham ER, Berkenbusch K (2020) Assessment of the risk of commercial fisheries to New Zealand seabirds, 2006-07 to 2016-17. New Zealand Aquatic Environment and Biodiversity Report 237

Siders Z, Eguchi T, Langseth B, et al (2020) Assessing the population-level impacts of North Pacific loggerhead and western Pacific leatherback turtle interactions in the Hawaii-based shallow-set longline fishery. NOAA Technical Memorandum NMFS-PIFSC-95