Search References

Clavareau L, Sabarros PS, Escalle L, et al (2020) Elasmobranch bycatch distributions and mortality: Insights from the European tropical tuna purse-seine fishery. Global Ecology and Conservation 24:e01211. https://doi.org/10.1016/j.gecco.2020.e01211

Frankish CK, Phillips RA, Clay TA, et al (2020) Environmental drivers of movement in a threatened seabird: insights from a mechanistic model and implications for conservation. Divers Distrib 26:1315–1329. https://doi.org/10.1111/ddi.13130

Jordaan GL, Santos J, Groeneveld JC (2020) Shark discards in selective and mixed-species pelagic longline fisheries. PLoS ONE 15:e0238595. https://doi.org/10.1371/journal.pone.0238595

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

Jiménez S, Domingo A, Winker H, et al (2020) Towards mitigation of seabird bycatch: Large-scale effectiveness of night setting and Tori lines across multiple pelagic longline fleets. Biological Conservation 247:108642. https://doi.org/10.1016/j.biocon.2020.108642

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

Weimerskirch H, Collet J, Corbeau A, et al (2020) Ocean sentinel albatrosses locate illegal vessels and provide the first estimate of the extent of nondeclared fishing. PNAS 117:3006–3014. https://doi.org/10.1073/pnas.1915499117

Lezama-Ochoa N, Lopez J, Hall M, et al (2020) Spatio-temporal distribution of the spinetail devil ray Mobula mobular in the eastern tropical Atlantic Ocean. Endang Species Res 43:447–460. https://doi.org/10.3354/esr01082

Machado R, Oliveira LR de, Ott PH, et al (2020) Trophic overlap between marine mammals and fisheries in subtropical waters in the western South Atlantic. Marine Ecology Progress Series 639:215–232. https://doi.org/10.3354/meps13284

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

Dinkel TM, Sánchez-Lizaso JL (2020) Involving stakeholders in the evaluation of management strategies for shortfin mako (Isurus oxyrinchus) and blue shark (Prionace glauca) in the Spanish longline fisheries operating in the Atlantic Ocean. Marine Policy 120:104124. https://doi.org/10.1016/j.marpol.2020.104124

Richard G, Bonnel J, Tixier P, et al (2020) Evidence of deep-sea interactions between toothed whales and longlines. Ambio 49:173–186. https://doi.org/10.1007/s13280-019-01182-1

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

Bose S, Debski I (2020) Antipodean albatross spatial distribution and fisheries overlap 2019

Gonzalez‐Pestana A, Maguiño R, Mendoza A, et al (2020) Distribution of whale shark (Rhincodon typus) off northern Peru based on habitat suitability. Aquatic Conservation: Marine and Freshwater Ecosystems 30:1325–1336. https://doi.org/https://doi.org/10.1002/aqc.3330

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

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

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

Frankish CK, Clay TA, Small C, Phillips RA (2019) At-sea distribution and fisheries bycatch risk of juvenile grey-headed albatrosses from South Georgia. In: ACAP - Fifth Meeting of the Population and Conservation Status Working Group. ACAP PaCSWG5 Inf 19, Florianópolis, Brazil

Tixier P, Burch P, Richard G, et al (2019) Commercial fishing patterns influence odontocete whale-longline interactions in the Southern Ocean. Sci Rep 9:1904. https://doi.org/10.1038/s41598-018-36389-x

Sequeira AMM, Hays GC, Sims DW, et al (2019) Overhauling Ocean Spatial Planning to Improve Marine Megafauna Conservation. Front Mar Sci 6:639. https://doi.org/10.3389/fmars.2019.00639

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

Davis L (2019) Effects of Sea Surface Temperature on the Distribution of Short-finned Pilot Whales (Globicephala macrorhynchus) in the Western North Atlantic Ocean. Masters Thesis, Duke University

Bærum KM, Anker-Nilssen T, Christensen-Dalsgaard S, et al (2019) Spatial and temporal variations in seabird bycatch: Incidental bycatch in the Norwegian coastal gillnet-fishery. PLoS ONE 14:e0212786. https://doi.org/10.1371/journal.pone.0212786

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