Search References

Richardson K, Hardesty BD, Wilcox C (2019) Estimates of fishing gear loss rates at a global scale: A literature review and meta-analysis. Fish and Fisheries 20:1218–1231. https://doi.org/10.1111/faf.12407

Griffiths SP, Lezama Ochoa N, Roman M (2019) Moving towards quantitative ecological risk assessment for data-limited tuna fishery bycatch: application of “EASI-FISH” to the spinetail devil ray (Mobula mobular) in the eastern Pacific ocean DRAFT (not to be cited) & Presentation. In: IATTC - 9th Meeting of the Working Group on Bycatch. IATTC-BYC-09-01, San Diego, California

Maxwell SM, Scales KL, Bograd SJ, et al (2019) Seasonal spatial segregation in blue sharks (Prionace glauca) by sex and size class in the Northeast Pacific Ocean. Divers Distrib ddi.12941. https://doi.org/10.1111/ddi.12941

Hoover A, Liang D, Alfaro Shigueto J, et al (2019) Predicting residence time using a continuous-time discrete-space model of leatherback turtle satellite telemetry data. Ecosphere 10:e02644. https://doi.org/10.1002/ecs2.2644

Abrahms B, Welch H, Brodie S, et al (2019) Dynamic ensemble models to predict distributions and anthropogenic risk exposure for highly mobile species. Diversity and Distributions 25:1182–1193. https://doi.org/10.1111/ddi.12940

Musyl MK, Gilman EL (2019) Meta-analysis of post-release fishing mortality in apex predatory pelagic sharks and white marlin. Fish and Fisheries 20:466–500. https://doi.org/10.1111/faf.12358

Queiroz N, Humphries NE, Couto A, et al (2019) Global spatial risk assessment of sharks under the footprint of fisheries. Nature 572:461–466. https://doi.org/10.1038/s41586-019-1444-4

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

Clay TA, Small C, Tuck GN, et al (2019) A comprehensive large-scale assessment of fisheries bycatch risk to threatened seabird populations. Journal of Applied Ecology 56:1882–1893. https://doi.org/10.1111/1365-2664.13407

Lezama-Ochoa N, Hall MA, Pennino MG, et al (2019) Environmental characteristics associated with the presence of the Spinetail devil ray (Mobula mobular) in the eastern tropical Pacific. PLOS ONE 14:e0220854. https://doi.org/10.1371/journal.pone.0220854

Horswill C, Manica A (2019) California swordfish fishery: Maximizing the catch rate of a target species simultaneously minimizes bycatch rates. PNAS 116:7172–7173. https://doi.org/10.1073/pnas.1820821116

Francis MP, Hoyle SD (2019) Estimation of fishing effort in the Southern Hemisphere. New Zealand Aquatic Environment and Biodiversity Report No. 213. Fisheries New Zealand

Gilman E, Chaloupka M, Dagorn L, et al (2019) Robbing Peter to pay Paul: replacing unintended cross-taxa conflicts with intentional tradeoffs by moving from piecemeal to integrated fisheries bycatch management. Rev Fish Biol Fisheries 29:93–123. https://doi.org/10.1007/s11160-019-09547-1

Zhou C, Jiao Y, Browder J (2019) Seabird bycatch vulnerability to pelagic longline fisheries: Ecological traits matter. Aquatic Conservation: Marine and Freshwater Ecosystems 29:1324–1335. https://doi.org/10.1002/aqc.3066

Scales KL, Hazen EL, Jacox MG, et al (2019) Reply to Horswill and Manica: FTLE is one of a suite of oceanographic variables useful for predicting bycatch risk in marine fisheries. PNAS 116:7174–7175. https://doi.org/10.1073/pnas.1900165116

Griffiths SP, Kesner-Reyes K, Garilao C, et al (2019) Ecological Assessment of the Sustainable Impacts of Fisheries (EASI-Fish): a flexible vulnerability assessment approach to quantify the cumulative impacts of fishing in data-limited settings. Marine Ecology Progress Series 625:89–113. https://doi.org/10.3354/meps13032

Edward Abraham, Yvan Richard, Nathan Walker, Marie-Julie Roux (2019) Assessment of the risk of commercial surface longline fisheries in the southern hemisphere to ACAP species. In: The Thirteenth meeting of the Ecologically Related Species Working Group of the CCSBT (ERSWG13). CCSBT-ERS/1905/BGD03, Canberra, Australia

Wren JLK, Shaffer SA, Polovina JJ (2019) Variations in black-footed albatross sightings in a North Pacific transitional area due to changes in fleet dynamics and oceanography 2006–2017. Deep Sea Research Part II: Topical Studies in Oceanography 169–170:104605. https://doi.org/10.1016/j.dsr2.2019.06.013

Cuevas E, Liceaga-Correa M, Uribe-Martínez A (2019) Ecological vulnerability of two sea turtle species in the Gulf of Mexico: an integrated spatial approach. Endangered Species Research 40:337–356. https://doi.org/10.3354/esr00984

Griffiths S, Fuller L (2019) An updated ecosystem model of the eastern tropical Pacific ocean: analysis of ecological indicators and the potential impacts of FAD fishing on ecosystem dynamics. In: IATTC - 10th Meeting of the Scientific Advisory Committee. IATTC-SAC-10-15, San Diego, California

Beale CS, Stewart JD, Setyawan E, et al (2019) Population dynamics of oceanic manta rays (Mobula birostris) in the Raja Ampat Archipelago, West Papua, Indonesia, and the impacts of the El Niño-Southern Oscillation on their movement ecology. Divers Distrib 25:1472–1487. https://doi.org/10.1111/ddi.12962

Nathan Walker, Dominic Vallieres, Yvan Richard (2019) Defining “high risk areas” in southern bluefin tuna fisheries. In: The Thirteenth meeting of the Ecologically Related Species Working Group of the CCSBT (ERSWG13). CCSBT-ERS/1905/BGD04, Canberra, Australia

Griffiths SP, Allain V, Hoyle SD, et al (2019) Just a FAD? Ecosystem impacts of tuna purse-seine fishing associated with fish aggregating devices in the western Pacific Warm Pool Province. Fisheries Oceanography 28:94–112. https://doi.org/10.1111/fog.12389

Neubauer P, Richard Y, Tremblay-Boyer L (2019) Alternative assessment methods for oceanic white-tip shark. In: WCPFC Scientific Committee 15th Regular Session. WCPFC-SC15-2019/SA-WP-13, Pohnpei, Federated States of Micronesia, p 57

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