Search References

Crear DP, Curtis TH, Durkee SJ, Carlson JK (2021) Highly migratory species predictive spatial modeling (PRiSM): an analytical framework for assessing the performance of spatial fisheries management. Mar Biol 168:148. https://doi.org/10.1007/s00227-021-03951-7

Orben RA, Adams J, Hester M, et al (2021) Across borders: External factors and prior behaviour influence North Pacific albatross associations with fishing vessels. Journal of Applied Ecology early view: https://doi.org/https://doi.org/10.1111/1365-2664.13849

Crespo GO (2021) Exploring Dynamic Ocean Management for bycatch reduction. In: IATTC - 10th Meeting of the Working Group on Bycatch. IATTC Dynamic Ocean Mgt, Electronic Meeting, p 9

Smith JA, Tommasi D, Welch H, et al (2021) Comparing Dynamic and Static Time-Area Closures for Bycatch Mitigation: A Management Strategy Evaluation of a Swordfish Fishery. Frontiers in Marine Science 8:272. https://doi.org/10.3389/fmars.2021.630607

Guirhem G, Arrizabalaga H, Lopetegui L, et al (2021) A preliminary habitat suitability model for devil rays in the western Indian Ocean. In: IOTC- 17th Working Party on Ecosystems & Bycatch (Assessment). IOTC-2021-WPEB17(AS)-27_rev1, Online

Griffiths SP, Lezama-Ochoa N (2021) A 40-year chronology of the vulnerability of spinetail devil ray (Mobula mobular) to eastern Pacific tuna fisheries and options for future conservation and management. Aquatic Conservation: Marine and Freshwater Ecosystems 31:2910–2925. https://doi.org/10.1002/aqc.3667

Pacoureau N, Rigby C, Kyne P, et al (2021) Half a century of global decline in oceanic sharks and rays. Nature 589:567–571. https://doi.org/10.1038/s41586-020-03173-9

Gilbert L, Rouby E, Tew-Kaï E, et al (2021) Spatiotemporal models highlight influence of oceanographic conditions on common dolphin bycatch risk in the Bay of Biscay. Marine Ecology Progress Series 679:195–212. https://doi.org/10.3354/meps13894

Gilman E, Chaloupka M, Sieben C (2021) Ecological risks of a data-limited fishery using an ensemble of approaches. Marine Policy 133:104752. https://doi.org/10.1016/j.marpol.2021.104752

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

Griffiths S, Fuller L, Valero J, et al (2021) Using an updated ecosystem model of the eastern tropical Pacific Ocean to explore potential impacts of increased fishing effort on floating objects. In: IATTC - 12th Meeting of the Scientific Advisory Committee. IATTC SAC-12-13, Electronic Meeting, p 39

Fader JE, Baird RW, Bradford AL, et al (2021) Patterns of depredation in the Hawai‘i deep-set longline fishery informed by fishery and false killer whale behavior. Ecosphere 12:e03682. https://doi.org/10.1002/ecs2.3682

IOTC Secretariat (2021) Report of the 17th Session of the IOTC Working Party on Ecosystems and Bycatch. In: IOTC - 24th Meeting of the Scientific Committee. IOTC-2021-WPEB17[AS]-RE Rev1, Online

Dulvy NK, Pacoureau N, Rigby CL, et al (2021) Overfishing drives over one-third of all sharks and rays toward a global extinction crisis. Current Biology 31:1–15. https://doi.org/10.1016/j.cub.2021.08.062

Hutchinson M, Siders Z, Stahl J, Bigelow K (2021) Quantitative estimates of post-release survival rates of sharks captured in Pacific tuna longline fisheries reveal handling and discard practices that improve survivorship. PIFSC Data Report DR-21-001: https://doi.org/10.25923/0M3C-2577

Griffiths S, Wallace B, Swimmer Y, et al (2021) Vulnerability status and efficacy of potential conservation measures for the east Pacific leatherback turtle (Dermochelys coriacea) stock using the EASI-fish approach. In: IATTC - 10th Meeting of the Working Group on Bycatch. IATTC BYC-10 INF-B, Electronic Meeting, p 41

Gilman E, Chaloupka M, Bach P, et al (2020) Effect of pelagic longline bait type on species selectivity: a global synthesis of evidence. Rev Fish Biol Fisheries 30:535–551. https://doi.org/10.1007/s11160-020-09612-0

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

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

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

Carneiro APB, Pearmain EJ, Oppel S, et al (2020) A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology. Journal of Applied Ecology 57:514–525. https://doi.org/10.1111/1365-2664.13568

Lezama-Ochoa N, Pennino MG, Hall MA, et al (2020) Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular). Sci Rep 10:18822. https://doi.org/10.1038/s41598-020-73879-3

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