Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-10T13:56:08.610Z Has data issue: false hasContentIssue false

Ecological risk assessment of pelagic sharks caught in Atlantic pelagic longline fisheries

Published online by Cambridge University Press:  07 October 2009

Enric Cortés
Affiliation:
National Oceanographic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City Laboratory, 3500 Delwood Beach Road, Panama City, Florida 32408, USA
Freddy Arocha
Affiliation:
Instituto Oceanográfico de Venezuela, Universidad de Oriente, Cumaná 6101, Venezuela
Lawrence Beerkircher
Affiliation:
National Oceanographic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Miami, Florida 33149, USA
Felipe Carvalho
Affiliation:
University of Florida, Department of Fisheries and Aquatic Sciences, Florida Program for Shark Research, Gainesville, Florida 32653, USA
Andrés Domingo
Affiliation:
DINARA, Area de Recursos Pelágicos, CP 11200 Montevideo, Uruguay
Michelle Heupel
Affiliation:
School of Earth and Environmental Sciences, James Cook University, Queensland 4811, Australia
Hannes Holtzhausen
Affiliation:
Ministry of Fisheries and Marine Resources, Namibia
Miguel N. Santos
Affiliation:
INRB I.P./IPIMAR, 8700-305 Olhão, Portugal
Marta Ribera
Affiliation:
National Oceanographic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City Laboratory, 3500 Delwood Beach Road, Panama City, Florida 32408, USA
Colin Simpfendorfer
Affiliation:
Fishing and Fisheries Research Centre, School of Earth and Environmental Sciences, James Cook University, Queensland 4811, Australia
Get access

Abstract

An ecological risk assessment (ERA; also known as productivity and susceptibility analysis, PSA) was conducted on eleven species of pelagic elasmobranchs (10 sharks and 1 ray) to assess their vulnerability to pelagic longline fisheries in the Atlantic Ocean. This was a level-3 quantitative assessment consisting of a risk analysis to evaluate the biological productivity of these species and a susceptibility analysis to assess their propensity to capture and mortality in pelagic longline fisheries. The risk analysis estimated productivity (intrinsic rate of increase, r) using a stochastic Leslie matrix approach that incorporated uncertainty in age at maturity, lifespan, age-specific natural mortality and fecundity. Susceptibility to the fishery was calculated as the product of four components, which were also calculated quantitatively: availability of the species to the fleet, encounterability of the gear given the species vertical distribution, gear selectivity and post-capture mortality. Information from observer programs by several ICCAT nations was used to derive fleet-specific susceptibility values. Results indicated that most species of pelagic sharks have low productivities and varying levels of susceptibility to pelagic longline gear. A number of species were grouped near the high-risk area of the productivity-susceptibility plot, particularly the silky (Carcharhinus falciformis), shortfin mako (Isurus oxyrinchus), and bigeye thresher (Alopias superciliosus) sharks. Other species, such as the oceanic whitetip (Carcharhinus longimanus) and longfin mako (Isurus paucus) sharks, are also highly vulnerable. The blue shark (Prionace glauca) has intermediate vulnerability, whereas the smooth hammerhead (Sphyrna zygaena), scalloped hammerhead (Sphyrna lewini), and porbeagle (Lamna nasus) sharks are less vulnerable, and the pelagic stingray (Pteroplatytrygon violacea) and common thresher (Alopias vulpinus) sharks have the lowest vulnerabilities. As a group, pelagic sharks are particularly vulnerable to pelagic longline fisheries mostly as a result of their limited productivity.


Type
Research Article
Copyright
© EDP Sciences, IFREMER, IRD, 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Braccini, J.M., Gillanders, B.M. Walker, T.I., 2006, Hierarchical approach to the assessment of fishing effects on non-target chondrichthyans: case study of Squalus megalops in southeastern Australia. Can. J. Fish. Aquat. Sci. 63, 24562466. CrossRef
Caswell H., 2001, Matrix population models. 2nd edition, Sinauer Associates, Sunderland, MA.
Cortés, E., 2002, Incorporating uncertainty into demographic modeling: Application to shark populations and their conservation. Cons. Biol. 16, 10481062. CrossRef
Cortés E., 2004, Life history patterns, demography, and population dynamics. In: Carrier J.C., Musick J.A., Heithaus M.R. (Eds.) Biology of sharks and their relatives, CRC Press, pp. 449–469.
Cortés E., Heupel M., Ribera M., Simpfendorfer C.A., 2008, Productivity and susceptibility analysis (ecological risk assessment) of Atlantic sharks. 88th Annual Meeting of the American Society of Ichthyologists and Herpetologists (ASIH), 24th Annual Meeting of the American Elasmobranch Society (AES), Montreal, Canada, July 23–28.
Hobday A.J., Smith A., Webb H., Daley R., Wayte S., Bulman C., Dowdney J., Williams A., Sporcic M., Dambacher J., Fuller M., Walker T.I., 2007, Ecological risk assessment for the effects of fishing: methodology. Report R04/1072 for the Australian Fisheries Management Authority, Canberra.
International Commission for the Conservation of Atlantic Tunas (ICCAT), 2008, Report of the 2007 inter-sessional meeting of the sub-committee on ecosystems. SCRS 2007/010 Col. Vol. Sci. Pap. ICCAT 62, 1671–1720.
Milton, D.A., 2001, Assessing the susceptibility to fishing of populations of rare trawl bycatch: sea snakes caught by Australia's Northern Prawn Fishery. Biol. Cons. 101, 281290. CrossRef
Rosenberg A, Agnew D., Babcock E., Cooper A., Mogensen C., O'Boyle R., Powers J., Stefansson G., Swasey J., 2007, Setting annual catch limits for US fisheries: An expert working group report. MRAG Americas, Washington, DC.
Simpfendorfer C.A., Bonfil R., Latour R.J., 2004, Mortality estimation. In: Musick J.A., Bonfil R. (Eds.) Elasmobranch Fisheries Management Techniques, APEC Secretariat, Singapore, pp. 165–186.
Smith, A.D.M., Fulton, E.J., Hobday, A.J., Smith, D.C., Shoulder, P., 2007, Scientific tools to support the practical implementation of ecosystem-based fisheries management. ICES J. Mar. Sci. 64, 633639. CrossRef
Stobutzki, I.C., Miller, M.J., Heales, D.S., Brewer, D.T., 2002, Sustainability of elasmobranchs caught as bycatch in a tropical prawn (shrimp) trawl fishery. Fish. Bull. 100, 800821.
Walker T.I., 2004, Management measures. In: Musick J.A., Bonfil R. (Eds.) Elasmobranch Fisheries Management Techniques, APEC Secretariat, Singapore, pp. 285–321.
Ward, P., 2008, Empirical estimates of historical variations in the catchability and fishing power of pelagic longline gear. Rev. Fish. Biol. Fish. 18, 409426. CrossRef