Search References

Japan (2015) Management Plan for Longline Fisheries Targeting Sharks (Japan). WCPFC, Pohnpei, Federated States of Micronesia

Jayathilaka RAM, Haputhanthri SSK, Perera H (2016) Identification of thirteen pelagic shark species of the Indian ocean occurring around Sri Lanka; using morphological characters of their fins. In: IOTC - 12th Working Party on Ecosystems and Bycatch. IOTC-2016-WPEB12-23_Rev_1

JOACHIM DL, RAZAFIMANDIMBY Y (2015) Shark catch characteristics by national longliner fleets in Madagascar. IOTC, Olhao, Portugal

Jordaan GL, Santos J, Groeneveld JC (2018) Effects of inconsistent reporting, regulation changes and market demand on abundance indices of sharks caught by pelagic longliners off southern Africa. PeerJ 6:e5726. https://doi.org/10.7717/peerj.5726

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

Joung S-J, Lyu G-T, Hsu H-H, et al (2018) Age and growth estimates of the blue shark Prionace glauca in the central South Pacific Ocean. Mar Freshwater Res 69:1346–1354. https://doi.org/10.1071/MF17098

Kai M (2021) Japanese annual catches of pelagic sharks in two subareas between 1964 and 1993. In: IOTC- 17th Working Party on Ecosystems & Bycatch (Assessment). IOTC-2021-WPEB17(AS)-10, Online

Kai M (2021) Update of Japanese annual catches for blue shark caught by Japanese offshore and distant water longliner in the North Pacific Ocean from 1994 to 2020. In: ISC 2021 2nd Shark Working Group Workshop. ISC/21/SHARKWG-2/04, Online, p 12

Kai M (2021) Update of Japanese annual catches of pelagic sharks between 1964 and 1993 by changing the species composition. In: IOTC- 17th Working Party on Ecosystems & Bycatch (Data Prep). IOTC-2021-WPEB17(DP)-05, Online, p 7

Kai M (2023) Spatio-temporal model for CPUE standardization: application to blue shark caught by Japanese tuna longline fishery in the north Atlantic from 1994 to 2021. ICCAT Collect Vol Sci Papers 80:238–253

Kai M (2021) Spatio-temporal model for CPUE standardization: Application to blue shark caught by Japanese offshore and distant water shallow-set longliner in the western North Pacific. In: ISC 2021 2nd Shark Working Group Workshop. ISC/21/SHARKWG-2/01, Online, p 21

Kai M (2023) Spatio-temporal model for CPUE standardization: application to blue shark caught by Japanese tuna longline fishery in the SOUTH Atlantic from 1994 to 2021. ICCAT Collect Vol Sci Papers 80:222–237

Kai M (2021) Spatio-temporal model for CPUE standardization: Application to blue shark caught by longline of Japanese research and training vessels in the western and central North Pacific. In: ISC 2021 2nd Shark Working Group Workshop. ISC/21/SHARKWG-2/03, Online, p 14

Kai M, Fujinami Y (2018) Stock-recruitment relationships in elasmobranchs: Application to the North Pacific blue shark. Fisheries Research 200:104–115. https://doi.org/10.1016/j.fishres.2017.10.025

Kai M, Semba Y (2020) Updated CPUE of blue shark (Prionace glauca) in the Indian Ocean estimated from Japanese observer data between 1992 and 2019. In: IOTC - 16th Working Party on Ecosystems and Bycatch. IOTC-2020-WPEB16-20, Online, p 12

Kai M, Semba Y, Ohshimo S, et al (2015) Update of standardized CPUE for blue shark caught by the Japanese tuna longline fishery in the Atlantic ocean. Collect Vol Sci Pap ICCAT 71:2601–2622

Kai M, Thorson JT, Piner KR, Maunder MN (2017) Predicting the spatio-temporal distributions of pelagic sharks in the western and central North Pacific. Fish Oceanogr n/a-n/a. https://doi.org/10.1111/fog.12217

Kai M, Yano T (2021) Updated annual catches of blue shark caught by Japanese coastal fisheries in the North Pacific Ocean from 1994 to 2019. In: ISC 2021 2nd Shark Working Group Workshop. ISC/21/SHARKWG-2/05, Online, p 11

Kanaiwa M, Yamamoto A, Kai M (2021) The preliminary analysis of standardized CPUE for the catch data of blue shark by Japanese longliner using the finite mixture model. In: ISC 2021 2nd Shark Working Group Workshop. ISC/21/SHARKWG-2/02, Online, p 5

Kaplan IC, Cox SP, Kitchell JF (2007) Circle Hooks for Pacific Longliners: Not a Panacea for Marlin and Shark Bycatch, but Part of the Solution. Transactions of the American Fisheries Society 136:392–401. https://doi.org/10.1577/T05-301.1

Kar AB, Prasad GVA, Das P, et al (2021) An overview of the bycatch status in tuna fishery in India. In: IOTC- 17th Working Party on Ecosystems & Bycatch (Assessment). IOTC-2021-WPEB17(AS)-32_rev1, Online, p 16

Kar AB, Silambarasan K, Solomon S, et al (2020) Trend in bycatch in the tuna longline fishery in India with reference to the biology of dominant species of pelagic sharks. In: IOTC - 16th Working Party on Ecosystems and Bycatch. IOTC-2020-WPEB16-12_Rev1, Online, p 27

Kell LT, Winker H (2023) Model validation for the selection and weighting of stock assessment scenarios. ICCAT Collect Vol Sci Papers 80:607–622

Kiilu BK, Ndegwa SW (2018) Preliminary assessment of shark bycatch from Kenya’s nascent industrial tuna fisheries | IOTC. In: IOTC - 14th Working Party on Ecosystems and Bycatch. IOTC-2018-WPEB14-28, Cape Town, South Africa

Kindong R, Wu F, Tian S, Sarr O (2022) How Well Do ‘Catch-Only’ Assessment Models Capture Catch Time Series Start Years and Default Life History Prior Values? A Preliminary Stock Assessment of the South Atlantic Ocean Blue Shark Using a Catch-Based Model. Animals 12:1386. https://doi.org/10.3390/ani12111386