Search References

Carretta JV (2022) Estimates of marine mammal, sea turtle, and seabird bycatch in the California large-mesh drift gillnet fishery: 1990-2021. US Dept of Commerce NOAA Technical Memorandum: https://doi.org/10.25923/KH19-SK22

Yan Y, Cantoni E, Field C, et al (2022) Spatiotemporal modeling of bycatch data: methods and a practical guide through a case study in a Canadian Arctic fishery. Can J Fish Aquat Sci 79:148–158. https://doi.org/10.1139/cjfas-2020-0267

De la Cruz A, Bastos R, Silva E, et al (2022) What to expect from alternative management strategies to conserve seabirds? Hints from a dynamic modelling framework applied to an endangered population. Animal Conservation 25:382–400. https://doi.org/10.1111/acv.12751

Lenfest Ocean Program (2022) Summary of Best Practices for Assessing and Managing Marine Mammal Bycatch (English, French, Spanish)

Receveur A, Allain V, Menard F, et al (2022) Modelling Marine Predator Habitat Using the Abundance of Its Pelagic Prey in the Tropical South-Western Pacific. Ecosystems 25:757–779. https://doi.org/10.1007/s10021-021-00685-x

Taylor NG, Ortiz M, Palma C, Forselledo R (2022) Catches of Carcharhinidae Sharks in ICCAT Fisheries. Collect Vol Sci Pap ICCAT 79:249–255

Escalle L, Scutt Phillips J, Moreno G, et al (2022) Modelling drifting FADs trajectories arriving at essential habitats for sea turtles in the Pacific Ocean. In: IATTC - 11th Meeting of the Working Group on Bycatch. IATTC BYC-11-05, Online

Goethel DR, Omori KL, Punt AE, et al (2022) Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice. Rev Fish Biol Fisheries. https://doi.org/10.1007/s11160-022-09726-7

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

Druon J-N, Campana S, Vandeperre F, et al (2022) Global-Scale Environmental Niche and Habitat of Blue Shark (Prionace glauca) by Size and Sex: A Pivotal Step to Improving Stock Management. Frontiers in Marine Science 9:

Zhou C, Brothers N (2022) Seabird bycatch vulnerability in pelagic longline fisheries based on modelling of a long-term dataset. Bird Conservation International 32:259–274. https://doi.org/10.1017/S0959270921000046

Punt AE, Siple MC, Francis TB, et al (2021) Can we manage marine mammal bycatch effectively in low‐data environments? J Appl Ecol 58:596–607. https://doi.org/10.1111/1365-2664.13816

Kiszka JJ, Moazzam M, Boussarie G, et al (2021) Setting the net lower: A potential low-cost mitigation method to reduce cetacean bycatch in drift gillnet fisheries. Aquatic Conservation: Marine and Freshwater Ecosystems 31:3111–3119. https://doi.org/10.1002/aqc.3706

Bigelow K, Carvalho F (2021) Draft review of potential mitigation measures to reduce fishing-related mortality on silky and oceanic whitetip sharks (Project 101). In: WCPFC Scientific Committee 17th Regular Session. WCPFC-SC17-2021/EB-WP-01, Electronic Meeting

Siple M (2021) A package for simulating marine mammal abundance and calculating reference points. Version v0.0.1. Zenodo. URL https://zenodo.org/record/4758402

Lopetegui L, Poos JJ, Arrizabalaga H, et al (2021) A preliminary habitat suitability model for oceanic whitetip shark in the western Indian ocean. In: IOTC- 17th Working Party on Ecosystems & Bycatch (Assessment). IOTC-2021-WPEB17(AS)-25_rev1, Online, p 39

Hyrenbach KD, Ishizaki A, Polovina J, Ellgen S (eds) (2021) The Factors Influencing Albatross Interactions in the Hawaii Longline Fishery: Towards Identifying Drivers and Quantifying Impacts. NOAA Technical Memorandum NOAA-TM-NMFS-PIFSC-122, Honolulu, Hawaii, p 163

Queiroz N, Humphries NE, Couto A, et al (2021) Reply to: Caution over the use of ecological big data for conservation. Nature 595:E20–E28. https://doi.org/10.1038/s41586-021-03464-9

Temple AJ, Westmerland E, Berggren P (2021) By-catch risk for toothed whales in global small-scale fisheries. Fish and Fisheries 22:1155–1159. https://doi.org/10.1111/faf.12581

Mannocci L, Baidai Y, Forget F, et al (2021) Machine learning to detect bycatch risk: Novel application to echosounder buoys data in tuna purse seine fisheries. Biological Conservation 255:109004. https://doi.org/10.1016/j.biocon.2021.109004

Phillips B, Potts J, Rigby C, et al (2021) Applying rapid risk assessment methods to bycatch in the WCPO. In: WCPFC Scientific Committee 17th Regular Session. WCPFC-SC17-2021/SC17-EB-IP-10, Electronic Meeting

Authier M, Rouby E, Macleod K (2021) Estimating Cetacean Bycatch From Non-representative Samples (I): A Simulation Study With Regularized Multilevel Regression and Post-stratification. Frontiers in Marine Science 8:1459. https://doi.org/10.3389/fmars.2021.719956

O’Farrell HB (2021) Modeling Shark Bycatch Mitigation Strategies in Longline Fisheries. University of Miami

Richards C, Cooke RSC, Bowler DE, et al (2021) Species’ traits and exposure as a future lens for quantifying seabird bycatch vulnerability in global fisheries. bioRxiv preprint:2021.05.24.445472. https://doi.org/https://doi.org/10.1101/2021.05.24.445472

Corbeau A, Collet J, Orgeret F, et al (2021) Fine‐scale interactions between boats and large albatrosses indicate variable susceptibility to bycatch risk according to species and populations. Anim Conserv acv.12676. https://doi.org/10.1111/acv.12676