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Seabird bycatch vulnerability in pelagic longline fisheries based on modelling of a long-term dataset

Published online by Cambridge University Press:  02 March 2021

CAN ZHOU*
Affiliation:
Texas A and M University, College Station, Texas77843, USA.
NIGEL BROTHERS
Affiliation:
Marine Ecology and Technology Consultant, Wonga Beach, Queensland, Australia.
*
*Author for correspondence; email: eidotog@gmail.com

Summary

The incidental mortality of seabirds in fisheries remains a serious global concern. Obtaining unbiased and accurate estimates of bycatch rates is a priority for seabird bycatch mitigation and demographic research. For measuring the capture risk of seabird interactions in fisheries, the rate of carcass retrieval from hauled gear is commonly used. However, reliability can be limited by a lack of direct capture observations and the substantial pre-haul bycatch losses known to occur, meaning incidence of seabird bycatch is underestimated. To solve this problem, a new measure (bycatch vulnerability) that links an observed interaction directly to the underlying capture event is proposed to represent the capture risk of fishery interactions by seabirds. The new measure is not affected by subsequent bycatch loss. To illustrate how to estimate and analyse bycatch vulnerability, a case study based on a long-term dataset of seabird interactions and capture confirmation is provided. Bayesian modelling and hypothesis testing were conducted to identify important bycatch risk factors. Competition was found to play a central role in determining seabird bycatch vulnerability. More competitive environments were riskier for seabirds, and larger and thus more competitive species were more at risk than smaller sized and less competitive species. Species foraging behaviour also played a role. On the other hand, no additional effect of physical oceanic condition and spatio-temporal factors on bycatch vulnerability was detected. Bycatch vulnerability is recommended as a replacement for the commonly used bycatch rate or carcass retrieval rate to measure the capture risk of an interaction. Combined with a normalized contact rate, bycatch vulnerability offers an unbiased estimate of seabird bycatch rate in pelagic longline fisheries.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of BirdLife International

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References

Anderson, O. R., Small, C. J., Croxall, J. P., Dunn, E. K., Sullivan, B. J., Yates, O. and Black, A. (2011) Global seabird bycatch in longline fisheries. Endang. Species Res. 14: 91106.CrossRefGoogle Scholar
Barbraud, C., Marteau, C., Ridoux, V., Delord, K. and Weimerskirch, H. (2008) Demographic response of a population of white-chinned petrels Procellaria aequinoctialis to climate and longline fishery bycatch. J. Appl. Ecol. 45: 14601467.CrossRefGoogle Scholar
Barbraud, C., Rolland, V., Jenouvrier, S., Nevoux, M., Delord, K. and Weimerskirch, H. (2012) Effects of climate change and fisheries bycatch on Southern Ocean seabirds: a review. Mar. Ecol. Prog. Ser. 454: 285307.CrossRefGoogle Scholar
BirdLife International (2004) Tracking ocean wanderers: the global distribution of albatrosses and petrels. Results from the Global Procellariiform Tracking Workshop, 15 September, 2003, Gordon’s Bay, South Africa. Cambridge, UK BirdLife International. Google Scholar
Boggs, C. H. (2001) Deterring albatrosses from contacting baits during swordfish longline sets. Pp. 7994 in Melvin, E. F. and Parrish, J. K., eds. Seabird bycatch: Trends, roadblocks and solutions., Fairbanks, Alaska, USA: University of Alaska Sea Grant. CrossRefGoogle Scholar
Brothers, N. (1991) Albatross mortality and associated bait loss in the Japanese longline fishery in the Southern Ocean. Biol. Conserv. 55: 255268.CrossRefGoogle Scholar
Brothers, N. (2008) How accurate are observer reported kills of albatrosses on longlines? Duke Univsersity & Blue Ocean Institute.Google Scholar
Brothers, N. (2016) Incidence of live bird haul capture in pelagic longline fisheries. In ACAP - Seventh Meeting of the Seabird Bycatch Working Group. Serena, Chile: ACAP. Google Scholar
Brothers, N., Duckworth, A. R., Safina, C. and Gilman, E. L. (2010) Seabird bycatch in pelagic longline fisheries is grossly underestimated when using only haul data. PLoS. ONE 5: e12491.CrossRefGoogle ScholarPubMed
Brothers, N., Gales, R. and Reid, T. (1999) The influence of environmental variables and mitigation measures on seabird catch rates in the Japanese tuna longline fishery within the Australian Fishing Zone, 1991–1995. Biol. Conserv. 88: 85101.CrossRefGoogle Scholar
Brothers, N. and Robertson, G. (2019) Status of branch line weighting within RFMOs as a mitigation measure in pelagic longline fisheries. In ACAP - Ninth Meeting of the Seabird Bycatch Working Group, p. SBWG9 Doc 17. Florianópolis, Brazil: ACAP. Google Scholar
Bull, L. S. (2007) Reducing seabird bycatch in longline, trawl and gillnet fisheries. Fish Fisheries 8: 3156.CrossRefGoogle Scholar
Camphuysen, C. J., Calvo, B., Durinck, J., Ensor, K., Follestad, A., Furness, R. W., Garthe, S., et al. (1995) Consumption of discards by seabirds in the North Sea. Final Report EC DG XIV research contract BIOECO/93/10. NIOZ-rapport 1995–5. Texel, The Netherlands: Netherlands Institute for Sea Research. Google Scholar
Cherel, Y., Weimerskirch, H. and Duhamel, G. (1996) Interactions between longline vessels and seabirds in Kerguelen waters and a method to reduce seabird mortality. Biol. Conserv. 75: 6370.CrossRefGoogle Scholar
Croxall, J. P. and Rothery, P. (1991) Population regulation of seabirds: implications of their demography for conservation. Pp. 272296 in Perrins, C. M., Lebreton, J.-D., and Hirons, G. M., eds. Bird population studies: relevance to conservation and management. Oxford, UK: Oxford University Press. Google Scholar
Croxall, J. P., Butchart, S. H., Lascelles, B., Stattersfield, A. J., Sullivan, B., Symes, A. and Taylor, P. (2012) Seabird conservation status, threats and priority actions: a global assessment. Bird Conserv. Internatn. 22: 134.CrossRefGoogle Scholar
Deroba, J., Butterworth, D. S., Methot, R., De Oliveira, J., Fernandez, C., Nielsen, A., Cadrin, S., et al. (2015) Simulation testing the robustness of stock assessment models to error: some results from the ICES strategic initiative on stock assessment methods. ICES. J. Mar. Sci 72: 1930.CrossRefGoogle Scholar
Dias, M. P., Martin, R., Pearmain, E. J., Burfield, I. J., Small, C., Phillips, R. A., Yates, O., et al. (2019) Threats to seabirds: a global assessment. Biol. Conserv. 237: 525537.CrossRefGoogle Scholar
Diaz, G. A., Beerkircher, L. R. and Restrepo, V. R. (2009) Description of the US pelagic observer program (POP). Collect. Vol. Sci. Pap. ICCAT 64: 24152426.Google Scholar
Dietrich, K. S., Cornish, V. R., Rivera, K. S. and Conant, T. A. (2007) Best practices for the collection of longline data to facilitate research and analysis to reduce bycatch of protected species: report of a workshop held at the International Fisheries Observer Conference, Sydney, Australia, November 8, 2004.Google Scholar
Dietrich, K. S., Melvin, E. F. and Conquest, L. (2008) Integrated weight longlines with paired streamer lines – Best practice to prevent seabird bycatch in demersal longline fisheries. Biol. Conserv. 141: 17931805.CrossRefGoogle Scholar
DiNardo, G. T. (1993) Statistical guidelines for a pilot observer program to estimate turtle takes in the Hawaii longline fishery. NOAA Technical Memorandum, NOAA-TM-NMFSSWFSC-190.Google Scholar
Domingo, A., Pons, M., Jiménez, S., Miller, P., Barceló, C. and Swimmer, Y. (2012) Circle hook performance in the Uruguayan pelagic longline fishery. Bull. Mar. Sci. 88: 499511.CrossRefGoogle Scholar
Dunn, E. and Mead, C. (1982) Relationship between sardine fisheries and recovery rates of ringed terns in West Africa. Seabird Report 6: 98104.Google Scholar
Emery, T. J., Noriega, R., Williams, A. J. and Larcombe, J. (2019) Measuring congruence between electronic monitoring and logbook data in Australian Commonwealth longline and gillnet fisheries. Ocean Coast. Manag. 168: 307321.CrossRefGoogle Scholar
Favero, M., Blanco, G., García, G., Copello, S., Seco Pon, J., Frere, E., Quintana, F., et al. (2011) Seabird mortality associated with ice trawlers in the Patagonian shelf: effect of discards on the occurrence of interactions with fishing gear. Anim. Conserv. 14: 131139.CrossRefGoogle Scholar
Gales, R., Brothers, N. and Reid, T. (1998) Seabird mortality in the Japanese tuna longline fishery around Australia, 1988–1995. Biol. Conserv. 86: 3756.CrossRefGoogle Scholar
Game, E. T., Grantham, H. S., Hobday, A. J., Pressey, R. L., Lombard, A. T., Beckley, L. E., Gjerde, K., et al. (2009) Pelagic protected areas: the missing dimension in ocean conservation. Trends Ecol. Evol. 24: 360369.CrossRefGoogle ScholarPubMed
Gilman, E., Boggs, C. and Brothers, N. (2003) Performance assessment of an underwater setting chute to mitigate seabird bycatch in the Hawaii pelagic longline tuna fishery. Ocean Coast. Manag. 46: 9851010.CrossRefGoogle Scholar
Gilman, E., Brothers, N. and Kobayashi, D. R. (2005) Principles and approaches to abate seabird by-catch in longline fisheries. Fish Fisheries 6: 3549.CrossRefGoogle Scholar
Gilman, E., Brothers, N. and Kobayashi, D. R. (2007) Comparison of three seabird bycatch avoidance methods in Hawaii-based pelagic longline fisheries. Fish. Sci. 73: 208210.CrossRefGoogle Scholar
Gilman, E., Suuronen, P., Hall, M. and Kennelly, S. (2013) Causes and methods to estimate cryptic sources of fishing mortality. J. Fish Biol. 83: 766803.CrossRefGoogle ScholarPubMed
Good, S., Baker, G., Gummery, M., Votier, S. and Phillips, R. (2020) National Plans of Action (NPOAs) for reducing seabird bycatch: Developing best practice for assessing and managing fisheries impacts. Biol. Conserv. 247: 108592.CrossRefGoogle Scholar
IUCN (2020) The IUCN Red List of Threatened Species. Version 2020-2. Available at https://www.iucnredlist.org [accessed 09 July 2020].Google Scholar
Jiménez, S., Domingo, A., Abreu, M. and Brazeiro, A. (2012) Bycatch susceptibility in pelagic longline fisheries: are albatrosses affected by the diving behaviour of medium-sized petrels? Aquat. Conserv: Mar. Freshw. Ecosyst. 22: 436445.CrossRefGoogle Scholar
Jiménez, S., Domingo, A., Forselledo, R., Sullivan, B. J. and Yates, O. (2019) Mitigating bycatch of threatened seabirds: the effectiveness of branch line weighting in pelagic longline fisheries. Anim. Conserv. 22: 376385.CrossRefGoogle Scholar
Lewison, R., Oro, D., Godley, B., Underhill, L., Bearhop, S., Wilson, R., Ainley, D., et al. (2012) Research priorities for seabirds: improving conservation and management in the 21st century. Endang. Species Res. 17: 93121.CrossRefGoogle Scholar
Lewison, R. L. and Crowder, L. B. (2003) Estimating fishery bycatch and effects on a vulnerable seabird population. Ecol. Applic. 13: 743753.CrossRefGoogle Scholar
Lewison, R. L., Crowder, L. B., Wallace, B. P., Moore, J. E., Cox, T., Zydelis, R., McDonald, S., et al. (2014) Global patterns of marine mammal, seabird, and sea turtle bycatch reveal taxa-specific and cumulative megafauna hotspots. PNAS 111: 52715276.CrossRefGoogle ScholarPubMed
McNamara, B., Kaaialii, G. and Torre, L. (1999) Hawaii longline seabird mortality mitigation project, Western Pacific Regional Fisheries Management Council. Google Scholar
Melvin, E. F., Guy, T. J. and Read, L. B. (2014) Best practice seabird bycatch mitigation for pelagic longline fisheries targeting tuna and related species. Fish. Res. 149: 518.CrossRefGoogle Scholar
Merkel, F. R. (2004) Impact of hunting and gillnet fishery on wintering eiders in Nuuk, Southwest Greenland. Waterbirds 27: 469479.CrossRefGoogle Scholar
Moore, J. E., Curtis, K. A., Lewison, R., Dillingham, P., Cope, J., Fordham, S. V., Heppell, S., et al. (2013) Evaluating sustainability of fisheries bycatch mortality for marine megafauna: a review of conservation reference points for data-limited populations. Environ. Conserv. 40: 329344.CrossRefGoogle Scholar
Musick, J. A. (1999) Life in the slow lane: Ecology and conservation of long-lived marine animals. American Fsheries Society Symposium 23, American Fisheries Society, Bethesda, Maryland, USA.Google Scholar
Nel, D. and Nel, J. (1999) Marine debris and fishing gear associated with seabirds at sub-Antarctic Marion island, 1996/97 and 1997/98: in relation to longline fishing activity. CCAMLR Sci. 6: 8596.Google Scholar
Pacific Islands Regional Office (2017) Hawaii Longline Observer Program Field Manual. Available at https://www.fisheries.noaa.gov/webdam/download/92033371 [accessed 1 July 2020].Google Scholar
Phillips, R. A., Ridley, C., Reid, K., Pugh, P. J., Tuck, G. N. and Harrison, N. (2010) Ingestion of fishing gear and entanglements of seabirds: monitoring and implications for management. Biol. Conserv. 143: 501512.CrossRefGoogle Scholar
Pott, C. and Wiedenfeld, D. A. (2017) Information gaps limit our understanding of seabird bycatch in global fisheries. Biol. Conserv. 210: 192204.CrossRefGoogle Scholar
Richard, Y. and Abraham, E. R. (2013) Risk of commercial fisheries to New Zealand seabird populations. Wellington, New Zealand: Ministry for Primary Industries. Google Scholar
Robertson, G., Candy, S. G., Wienecke, B. and Lawton, K. (2010) Experimental determinations of factors affecting the sink rates of baited hooks to minimize seabird mortality in pelagic longline fisheries. Aquat. Conserv: Mar. Freshw. Ecosyst. 20: 632643.CrossRefGoogle Scholar
Ryan, P. and Watkins, B. (2008) Estimating seabird bycatch by fisheries and its impact on seabird populations. Anim. Conserv. 11: 260262.CrossRefGoogle Scholar
Small, C., Waugh, S. M. and Phillips, R. A. (2013) The justification, design and implementation of Ecological Risk Assessments of the effects of fishing on seabirds. Mar. Policy 37: 192199.CrossRefGoogle Scholar
Tasker, M. L., Jones, P. H., Dixon, T. and Blake, B. F. (1984) Counting seabirds at sea from ships: a review of methods employed and a suggestion for a standardized approach. Auk 101: 567577.CrossRefGoogle Scholar
Trebilco, R., Gales, R., Lawrence, E., Alderman, R., Robertson, G. and Baker, G. B. (2010) Characterizing seabird bycatch in the eastern Australian tuna and billfish pelagic longline fishery in relation to temporal, spatial and biological influences. Aquatic Conserv: Mar. Freshw. Ecosyst. 20: 531542.CrossRefGoogle Scholar
Warden, M. L. and Murray, K. T. (2011) Reframing protected species interactions with commercial fishing gear: Moving toward estimating the unobservable. Fish. Res. 110: 387390.CrossRefGoogle Scholar
Winnard, S., Hochberg, T., Miller, N., Kroodsma, D., Small, C. and Augustyn, P. (2018) A new method using AIS data to obtain independent compliance data to determine mitigation use at sea. In: Thirteenth Meeting of the CCSBT Compliance Committee, October, pp. 11–13.Google Scholar
Yamaguchi, Y. (1989) Tuna long-line fishing III: Selection of a fishing ground. Mar. Freshw. Behavi. Phys. 15: 3744.CrossRefGoogle Scholar
Zhou, C., Brothers, N., Browder, J. and Jiao, Y. (2020) Seabird bycatch loss rate variability in pelagic longline fisheries. Biol. Conserv. 247: 108590.CrossRefGoogle Scholar
Zhou, C. and Jiao, Y. (2017) Estimated seabird bycatch in the U.S. Atlantic pelagic longine fishery during 1992-2016 based on observer and logbook data. The Pelagic Longline Observer Program. Miami, FL: Southeast Fisheries Science Center. Google Scholar
Zhou, C., Jiao, Y. and Browder, J. (2019a) How much do we know about seabird bycatch in pelagic longline fisheries? A simulation study on the potential bias caused by the usually unobserved portion of seabird bycatch. PLoS. ONE 14: e0220797.CrossRefGoogle Scholar
Zhou, C., Jiao, Y. and Browder, J. (2019b) Seabird bycatch vulnerability to pelagic longline fisheries: Ecological traits matter. Aquat. Conserv: Mar. Freshw. Ecosyst. 29: 13241335.CrossRefGoogle Scholar
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