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Length-based assessment of sustainability benchmarks for coral reef fishes in Puerto Rico

Published online by Cambridge University Press:  05 November 2008

JERALD S. AULT ,
STEVEN G. SMITH ,
JIANGANG LUO ,
MARK E. MONACO  and
RICHARD S. APPELDOORN
JERALD S. AULT*
Affiliation:
University of Miami, Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, Florida 33149, USA
STEVEN G. SMITH
Affiliation:
University of Miami, Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, Florida 33149, USA
JIANGANG LUO
Affiliation:
University of Miami, Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, Florida 33149, USA
MARK E. MONACO
Affiliation:
NOAA National Ocean Service Biogeography Branch, 1305 East West Highway, Silver Spring, Maryland 20910, USA
RICHARD S. APPELDOORN
Affiliation:
University of Puerto Rico, Department of Marine Sciences, Mayaguez, Puerto RicoUSA
*
*Correspondence: Dr Jerald Ault Tel: +1 305 421 4884 Fax: +1 305 421 4791 e-mail: [email protected]
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Summary

The sustainability of multispecies coral reef fisheries is a key conservation concern given their economic and ecological importance. Empirical estimation and numerical model analyses were conducted to evaluate exploitation status via resource reference points (or sustainability benchmarks) for coral reef fishes of the snapper-grouper complex in Puerto Rico. Mean size (L, in length) of animals in the exploited part of the population was estimated from fishery-dependent and fishery-independent size composition data and used as an indicator variable of exploitation rates. In application, fishing mortality rates estimated from L of various data sources were comparable. Of the 25 reef fish species assessed, 16 were below 30% spawning potential ratio (SPR), six were above 30% SPR, and three could not be reliably determined owing to low sample sizes. These findings indicate that a majority of snapper-grouper species in Puerto Rico are currently fished at unsustainable levels.

Keywords

average sizecoral-reef fishfishery exploitationPuerto Rico
Type
Papers
Information
Environmental Conservation , Volume 35 , Issue 3 , September 2008 , pp. 221 - 231
Copyright
Copyright © Foundation for Environmental Conservation 2008

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References

Acosta, A. & Appeldoorn, R.S. (1992) Estimation of growth, mortality and yield-per-recruit for Lutjanis synagris (Linnaeus) in Puerto Rico. Bulletin of Marine Science 50: 282–291.Google Scholar
Alagaraja, K. (1984) Simple methods for estimation of parameters for assessing exploited fish stocks. Indian Journal of Fisheries 31: 177–208.Google Scholar
Appeldoorn, R., Beets, J., Bohnsack, J., Bolden, S., Matos, D., Meyers, S., Rosario, A., Sadovy, Y. & Tobias, W. (1992) Shallow water reef fish assessment for the US Caribbean. NOAA Technical Memorandum NMFS-SEFSC 304, NOAA, USA: 70 pp.Google Scholar
Appeldoorn, R.S., Friedlander, A., Sladek Nowlis, J., Ussegilo, P. & Mitchell-Chui, A. (2003) Habitat connectivity on the insular platform of Old Providence-Santa Catalina, Colombia: mechanism, limits and ecological consequences relevant to marine reserve design. Gulf and Caribbean Research 14: 61–77.CrossRefGoogle Scholar
Appeldoorn, R.S., Recksiek, C.W., Hill, R.L., Pagan, F.E. & Dennis, G.D. (1997) Marine protected areas and reef fish movements: the role of habitat in controlling ontogentic migration. Proceedings of the 8th International Coral Reef Symposium 2: 1917–1922.Google Scholar
Ault, J.S. & Olson, D.B. (1996) A multicohort stock production model. Transactions of the American Fisheries Society 125: 343–363.2.3.CO;2>CrossRefGoogle Scholar
Ault, J.S., Bohnsack, J.A. & Meester, G. (1998) A retrospective (1979–1996) multispecies assessment of coral reef fish stocks in the Florida Keys. Fishery Bulletin, US 96: 395–414.Google Scholar
Ault, J.S., Bohnsack, J.A., Smith, S.G. & Luo, J. (2005 a) Towards sustainable multispecies fisheries in the Florida USA coral reef ecosystem. Bulletin of Marine Science 76 (2): 595–622.Google Scholar
Ault, J.S., Smith, S.G. & Bohnsack, J.A. (2005 b) Evaluation of average length as an indicator of exploitation status for the Florida coral reef fish community. ICES Journal of Marine Science 62: 417–423.CrossRefGoogle Scholar
Ault, J.S., McGarvey, R.N., Rothschild, B.J. & Chavarria, J. (1996) Stock assessment computer algorithms. In: Stock Assessment: Quantitative Methods and Applications for Small Scale Fisheries, ed. Gallucci, V.F., Saila, S., Gustafson, D. & Rothschild, B.J., pp. 501–515. Chelsea, MI, USA: Lewis Publishers (Division of CRC Press).Google Scholar
Beverton, R.J.H. & Holt, S.J. (1957) On the Dynamics of Exploited Fish Populations. Ministry of Agriculture, Fisheries and Food, Fishery Investigations Series II, Volume 19. Lowestoft, UK: Ministry of Agriculture: 533 pp.Google Scholar
Clark, W.G. (1991) Groundfish exploitation rates based on life history parameters. Canadian Journal of Fish and Aquatic Sciences 48: 734–750.CrossRefGoogle Scholar
Claro, R., Lindeman, K.C. & Parenti, L.R. (2001) Ecology of the Marine Fishes of Cuba. Washington, DC, USA: Smithsonian Institution Press: 253 pp.Google Scholar
Coleman, F.C., Koenig, C.C., Huntsman, G.R., Musick, J.A., Eklund, A.M., McGovern, J.C., Chapman, R.W., Sedberry, G.R. & Grimes, C.B. (2000) Long-lived reef fishes: the grouper–snapper complex. Fisheries 25 (3): 14–21.2.0.CO;2>CrossRefGoogle Scholar
Cury, P.M. & Christensen, V. (2005) Quantitative ecosystem indicators for fisheries management. ICES Journal of Marine Science 62 (3): 307–310.CrossRefGoogle Scholar
Denney, N.H., Jennings, S. & Reynolds, J.D. (2002) Life-history correlates of maximum population growth rates in marine fishes. Proceedings of the Royal Society of London B 269: 2229–2237.CrossRefGoogle ScholarPubMed
Ehrhardt, N.M. & Ault, J.S. (1992) Analysis of two length-based mortality models applied to bounded catch length frequencies. Transactions of the American Fisheries Society 121: 115–122.2.3.CO;2>CrossRefGoogle Scholar
FAO (2003) FiSAT II: FAO–ICLARM Stock Assessment Tools. User's Guide, ed. Gayanilo, F.C., Sparre, P. and Pauly, D.. Rome, Italy: FAO.Google Scholar
Fenichel, E.P., Tsao, J.I., Jones, M.L. & Hickling, G.J. (2008) Real options for precautionary fisheries management. Fish and Fisheries 9: 121–137.CrossRefGoogle Scholar
Gabriel, W.L., Sissenwine, M.P. & Overholtz, W.J. (1989) Analysis of spawning stock biomass per recruit: an example for Georges Bank haddock. North American Journal of Fisheries Management 9: 383–391.2.3.CO;2>CrossRefGoogle Scholar
Garcia, S.M. & Cochrane, K.L. (2005) Ecosystem approach to fisheries: a review of implementation guidelines. ICES Journal of Marine Science 62 (3): 311–318.CrossRefGoogle Scholar
Garcia-Sais, J., Appeldoorn, R., Bruckner, A., Caldow, C., Christensen, J.D., Lilyestrom, C., Monaco, M.E., Sabater, J., Williams, E. & Diaz, E. (2005) The state of coral reef ecosystems of the Commonwealth of Puerto Rico. In: The State of Coral Reef Ecosystems of the United States and Pacific Freely Associated States: 2005, ed. J.E. Waddell, NOAA Techni.cal Memorandum NOS NCCOS 11. Silver Spring, MD, USA: NOAA/NCCOS Center for Coastal Monitoring and Assessment's Biogeography Team: 522 pp.Google Scholar
Goodwin, N.B., Grant, A., Perry, A.L., Dulvy, N.K. & Reynolds, J.D. (2006) Life history correlates of density-dependent recruitment in marine fishes. Canadian Journal of Fisheries and Aquatic Science 63: 494–509.CrossRefGoogle Scholar
Graham, N.A.J., Dulvy, N.K., Jennings, S. & Polunin, N.V.C. (2005) Size-spectra as indicators of the effects of fishing on coral reef assemblages. Coral Reefs 24: 118–124.CrossRefGoogle Scholar
Haddon, M. (2001) Modeling and Quantitative Methods in Fisheries. Boca Raton, FL, USA: Chapman and Hall/CRC Press.Google Scholar
Haedrich, R.L. & Barnes, S.M. (1997) Changes over time of the size structure in an exploited shelf fish community. Fisheries Research 31: 229–239.CrossRefGoogle Scholar
Hall, S.J. & Mainprize, B. (2004) Towards ecosystem-based fisheries management. Fish and Fisheries 5: 1–20.CrossRefGoogle Scholar
Hoenig, J.M. (1983) Empirical use of longevity data to estimate mortality rates. Fishery Bulletin 82 (1): 898–903.Google Scholar
ICES (2001) Report of the working group on ecosystem effects of fishing. ICES CM/ACME/E:09, Copenhagen, Denmark.Google Scholar
Jennings, S. (2005) Indicators to support an ecosystem approach to fisheries. Fish and Fisheries 6: 212–232.CrossRefGoogle Scholar
Jennings, S., Reynolds, J.D. & Mills, S.C. (1998) Life history correlates of responses to fisheries exploitation. Proceedings of the Royal Society of London B 265: 333–339.CrossRefGoogle Scholar
Jennings, S., Reynolds, J.D. & Polunin, N.V.C. (1999) Predicting the vulnerability of tropical reef fishes to exploitation with phylogenies and life histories. Conservation Biology 15 (6): 1466–1475.CrossRefGoogle Scholar
Jennings, S., De Oliveira, J.A.A. & Warr, K.J. (2007) Measurement of body size and abundance in tests of macroecological and food web theory. Journal of Animal Ecology 76: 72–82.CrossRefGoogle ScholarPubMed
Kerr, S.R. & Dickie, L.M. (2001) The Biomass Spectrum: a Predator-Prey Theory of Aquatic Production. New York, USA: Columbia University Press. New York.Google Scholar
Lilystrom, C. & Hoffmaster, E. (2002) Recreational fishery statistics of coral reef fisheries in Puerto Rico. In: Proceedings of Coral Reef Fisheries, Caribbean Regional Workshop: Collaboration on Successful Management, Enforcement, and Education Methods for Fisheries Managers of the US Caribbean, pp. 30–31. San Juan, Puerto Rico: Caribbean Fishery Management Council (URL www.caribbeanfmc.com).Google Scholar
Matos-Caraballo, D. (2004) Puerto Rico/NMFS cooperative fisheries statistics program. Final Report submitted to the National Marine Fisheries Service, Puerto Rico Department of Natural and Environmental Resources, San Juan, Puerto Rico: 83 pp.Google Scholar
Methot, R.D. (1990) Synthesis model: an adaptive framework for analysis of diverse stock assessment data. International North Pacific Fisheries Commission Bulletin 50: 259–277.Google Scholar
Monaco, M.E., Kendall, M.S., Higgins, J.L., Alexander, C.E. & Tartt, M.S. (2005) Biogeographic assessments of NOAA National Marine Sanctuaries: the integration of ecology and GIS to aid management boundary delineation and assessment. In: Place Matters: Geospatial Tools for Marine Science, Conservation, and Management in the Pacific Northwest, ed. Wright, D.S.. & Scholz, A.J., pp. 2–12. Corvalis, OR, USA: Oregon State University Press.Google Scholar
Musick, J.A., Harbin, M.M., Berkeley, S.A., Burgess, G.H., Eklund, A.M., Findley, L., Gilmore, R.G., Golden, J.T., Ha, D.S., Huntsman, G.R., McGovern, J.C., Parker, S.J., Poss, S.G., Sala, E., Schmidt, T.W., Sedberry, G.R., Weeks, H. & Wright, S.G. (2000) Marine, estuarine, and diadromous fish stocks at risk of extinction in North America (exclusive of Pacific salmonids). Fisheries 25 (11): 6–30.Google Scholar
Newton, K., Cote, I.M., Pilling, G.M., Jennings, S. & Dulvy, N.K. (2007) Current and future sustainability of island coral reef fisheries. Current Biology 17: 655–658.CrossRefGoogle ScholarPubMed
NOAA (2006) Fisheries of the United States [www document]. URL http://www.st.nmfs.noaa.gov/st1/fus/fus06/.Google Scholar
Pauly, D. & Morgan, G.R., eds (1987) Length-Based Methods in Fisheries Research. ICLARM Conference Proceedings Volume 13. Manila, Philippines: International Center for Living Aquatic Resources Management: 468 pp.Google Scholar
Pittman, S.J., Christensen, J.D., Caldow, C., Menza, C. & Monaco, M.E. (2007) Predictive mapping of fish species richness across shallow-water seascapes in the Caribbean. Ecological Modelling 204: 9–21.CrossRefGoogle Scholar
Prager, M.H. (1994) A suite of extensions to a non-equilibrium surplus-production model. Fishery Bulletin, US 92: 374–389.Google Scholar
Quinn, T.J. & Deriso, R.B. (1999) Quantitative Fish Dynamics. Oxford, UK: Oxford University Press: 542 pp.CrossRefGoogle Scholar
Quinn, T.J. (2003) Ruminations on the development and future of population dynamics models in fisheries. Natural Resource Modeling 16 (4): 341–392.CrossRefGoogle Scholar
Restrepo, V.R. & Powers, J.E. (1999) Precautionary control rules in US fisheries management: specifications and performance. ICES Journal of Marine Science 56: 846–852.CrossRefGoogle Scholar
Restrepo, V.R., Thompson, G.G., Mace, P.M., Gabriel, W.L., Low, L.L., MacCall, A.D., Methot, R.D., Powers, J.E., Taylor, B.L., Wade, P.R. & Witzig, J.F. (1998) Technical guidance on the use of precautionary approaches in implementing national standard 1 of the Magnuson-Stevens Fishery Conservation and Management Act. NOAA Technical Memorandum NMFS-F/SPO-031, NOAA, USA: 54 pp.Google Scholar
Ricker, W.E. (1963) Big effects from small causes: two examples from fish population dynamics. Journal of the Fisheries Research Board of Canada 20: 257–264.CrossRefGoogle Scholar
Russ, G.R. (1991) Coral reef fisheries: effects and yields. In: The Ecology of Fishes in Coral Reefs, ed. Sale, P.F., pp. 601–635. San Diego, CA, USA: Academic Press: 754 pp.CrossRefGoogle Scholar
Russ, G.R. & Alcala, A.C. (1996) Marine reserves: rates and patterns of recovery and decline of large predatory fish. Ecological Applications 6 (3): 947–961.CrossRefGoogle Scholar
Walters, C.J. & Martell, S.J.D. (2004) Fisheries Ecology and Management. Princeton, NJ, USA: Princeton University Press: 399 pp.Google Scholar
Warren-Rhodes, K., Sadovy, Y. & Cesar, H. (2003) Marine ecosystem appropriation in the Indo-Pacific: a case study of the live reef fish food trade. Ambio 32 (7): 481–488.CrossRefGoogle ScholarPubMed
Yemane, D., Field, J.G. & Leslie, R.W. (2005) Exploring the effects of fishing on fish assemblages using abundance biomass comparison (ABC) curves. ICES Journal of Marine Science 62: 374–379.CrossRefGoogle Scholar