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Modelling the effect of marine protected areas on thepopulation of skipjack tuna in the Indian Ocean

Published online by Cambridge University Press:  19 December 2012

Sibylle Dueri  and
Olivier Maury
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Abstract

The benefits of implementing no-take Marine Protected Areas (MPAs) for the conservationof highly migratory species are not easy to assess. They depend on several factors, suchas the fish mobility, fisher behaviour and the area covered by the MPA with respect to thedistribution area of the species to protect. In this study, we explore the simultaneouseffects of MPAs and fishing scenarios on skipjack tuna population dynamics, using thespatially-explicit APECOSM-E model. The model represents the size-structured populationdynamics of skipjack tuna in the Indian Ocean and their dependence on climatic variabilityand exploitation by fisheries. Numerical experiments were run from the beginning ofindustrial fisheries in the early 1980s to the year 2030, considering different scenariosfor the future development of fisheries. These scenarios combined different trends infishing effort and technological development, either assuming a continuous increasefollowing historical trends or a stabilization of these factors at present values. Thesimulations were designed to explore the effects of two MPAs of different size andlocation: the recently established Chagos MPA, and a hypothetical MPA covering a largepart of the Western Indian Ocean, where most of the skipjack catches are presently made.We modelled the redistribution of fishing effort around the MPAs assuming that the fishershad partial knowledge of the spatial distribution of the skipjack population. The effectsof the two MPAs on the population dynamics, catch and fishing mortality are shown. Ourresults revealed a very minor effect of the Chagos MPA on the skipjack tuna population,while the Western Indian Ocean MPA had an important impact on the fishing mortality andsucceeded in stabilizing the spawning population. The simulations also showed that theeffect of an MPA depends on the evolution of fisheries and it is therefore important toexplore different fishery scenarios to assess the future benefits of an MPA.

Keywords

Marine reservesFishery scenariosFishery managementTropical tunaKatsuwonus pelamisChagos MPA
Type
Research Article
Information
Aquatic Living Resources , Volume 26 , Issue 2 , April 2013 , pp. 171 - 178
Copyright
© EDP Sciences, IFREMER, IRD 2012

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References

Références

Abbott, J.K., Haynie, A.C., 2012, What are we protecting? Fisher behaviour and the unintended consequences of spatial closures as fishery management tool. Ecol. Appl. 22, 762–777. CrossRefGoogle ScholarPubMed
Adam M.S., 2010, Declining catches of skipjack in the Indian Ocean – Observation from the Maldives. Proc. 10th Meeting of the working party on tropical tuna, Indian Ocean Tuna Commission, IOTC-2010-WPTT-09.
Aumont O., Bopp L., 2006, Globalizing results from ocean in situ iron fertilization studies. Glob. Biogeochem. Cycles 20, GB2017, doi: 10.1029/2005GB002591. CrossRef
Barkley, R., Neill, W.H., Gooding, R.M.G., 1978, Skipjack tuna, Katsuwonus Pelamis, habitat based on temperature and oxygen requirements. Fish. Bull. 76, 653–662. Google Scholar
Botsford, L.W., Micheli, F., Hastings, A., 2003, Principles for the design of marine reserves. Ecol. Appl. 13, S25–S31. CrossRefGoogle Scholar
Brill, R.W., 1994, A review of temperature and oxygen tolerance studies of tunas pertinent to fisheries oceanography, movement models and stock assessments. Fish. Oceanogr. 3, 204–216. CrossRefGoogle Scholar
Brill, R.W., Lutcavage, M.E., 2001, Understanding environmental influences on movements and depth distributions of tunas and billfishes can significantly improve population assessment. Am. Fish. Soc. Symp. 25, 179–198. Google Scholar
Dowling, N.A., Wilcox, C., Mangel, M., Pascoe, S., 2011, Assessing opportunity and relocation costs of marine protected areas using a behavioral model of longline fleet dynamics. Fish Fish. 13, 139–157. CrossRefGoogle Scholar
Dueri, S., Faugeras, B., Maury, O., 2012a, Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E : Part 1 Model formulation. Ecol. Model. 245, 41–54. CrossRefGoogle Scholar
Dueri, S., Faugeras, B., Maury, O., 2012b, Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E : Part 2 Parameter estimation and sensitivity analysis. Ecol. Model. 245, 55–64. CrossRefGoogle Scholar
Faugeras, B., Maury, O., 2007, Modeling fish population movements : From an individual-based representation to an advection-diffusion equation. J. Theor. Biol. 247, 837–848. CrossRefGoogle Scholar
Game, E.T., Grantham, H.S., Hobday, A.J., Pressey, R., Lombard, A.T., Beckley, L.E., Gjerde, K., Bustamante, R., Possingham, H.P., Richardson, A.J., 2009, Pelagic protected areas : the missing dimension in ocean conservation. Trends Ecol. Evol. 24, 360–369. CrossRefGoogle ScholarPubMed
Grafton, R.Q., Kompas, T., Lindenmayer, D., 2005, Marine reserves with ecological uncertainty. Bull. Math. Biol. 67, 957–971. Google ScholarPubMed
Grüss, A., Kaplan, D.M., Guénette, S., Roberts, C.M., Botsford, L.W., 2011, Consequences of adult and juvenile movement for marine protected areas. Biol. Conserv. 144, 692–702. CrossRefGoogle 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. Can. J. Fish. Aquat. Sci. 63, 494–509. CrossRefGoogle Scholar
Hobday, A.J., Hartmann, K., 2006, Near real-time spatial management based on habitat predictions for a longline bycatch species. Fish. Manage. Ecol. 13, 365–380. CrossRefGoogle Scholar
Hobday, A.J., Hartog, J.R., Spillman, C.M., Alves, O., 2011, Seasonal forecasting of tuna habitat for dynamic spatial management. Can. J. Fish. Aquat. Sci. 68, 898–911. CrossRefGoogle Scholar
Hyrenbach, K.D., Forney, K.A., Dayton, P.K., 2000, Marine protected areas and ocean basin management. Aquat. Conserv. Mar. Freshw. Ecosyst. 10, 437–458. 3.0.CO;2-Q>CrossRefGoogle Scholar
Indian Ocean Tuna Commission, 2008, Report of the First Session of the IOTC Working party on tagging data analysis. Victoria, Seychelles IOTC-2008-WPTDA-R[E].
Indian Ocean Tuna Commission, 2010a, Report of the twelfth session of the IOTC Working party on tropical tunas. Victoria, Seychelles, IOTC-2010-WPTT-R[E].
Indian Ocean Tuna Commission, 2010b, For the conservation and management of tropical tunas stocks in the IOTC area of competence. IOTC resolution 10/01, Indian Ocean Tuna Commission.
Koldewey, H.J., Curnick, D., Harding, S., Harrison, L.R., Gollock, M., 2010, Potential benefits to fisheries and biodiversity of the Chagos Archipelago/British Indian Ocean Territory as a no-take marine reserve. Mar. Pollut. Bull. 60, 1906–1915. CrossRefGoogle ScholarPubMed
Kooijman S.A.L.M., 2000, Dynamic energy and mass budgets in biological systems. Cambridge University Press.
Lehodey, P., Senina, I., Murtugudde, R., 2008, A spatial ecosystem and population dynamics model (SEAPODYM) – Modeling of tuna and tuna-like populations. Prog. Oceanogr. 78, 304–318. CrossRefGoogle Scholar
Lester, S.E., Halpern, B.S., Grourud-Covert, K., Lubchenco, J., Ruttenberg, B.I., Gaines, S.D., Airamé, S., Warner, R.R., 2009, Biological effects within no-take marine reerves : a global synthesis. Mar. Ecol. Prog. Ser. 384, 33–46. CrossRefGoogle Scholar
Marine Research Centre, Maldives, 1996, The Maldivian tuna fishery : a collection of tuna resource papers. Maldives Mar. Res. Bull. 2.
Marsac F., Le Blanc J.L., 1998, Interannual and ENSO-associated variability of the coupled ocean-atmosphere system with possible impacts on the yellowfin tuna fisheries in the Indian and Atlantic oceans. In : ICCAT Tuna Symposium, ICCAT Coll. Vol. Sci. Pap. L(1), 345–377.
Maury, O., 2010, An overview of APECOSM, a spatialized mass balanced “apex predators ecosystem model” to study physiologically structured tuna population dynamics in their ecosystem. In : St John M.A., Ruiz J., Monfray P. (Eds.) Parameterisation of trophic interactions in ecosystem modelling. Prog. Oceanogr. 84, 113–117. CrossRefGoogle Scholar
Maury, O., Gascuel, D., 1999, SHADIS (“simulateur halieutique de dynamiques spatiales”), a GIS based numerical model of fisheries. Example application : the study of a marine protected area. Aquat. Living Resour. 12, 77–88. CrossRefGoogle Scholar
Maury O., Nordström V., 2002, Application of the PROCEAN model to the Indian ocean yellowfin tuna (Thunnus albacores) fishery. IOTC working party on tropical tuna, Shangai 3-11/06/2002.
Ménard, F., Marsac, F., Bellier, E., Cazelles, B., 2007, Climatic oscillations and tuna catch rates in the Indian Ocean : a wavelet approach to time series analysis. Fish. Oceanogr. 16, 95–104. CrossRefGoogle Scholar
Moffitt, E.A., Botsford, L.W., Kaplan, D.M., O'Farrell, M.R., 2009, Marine reserve networks for species that move within a home range. Ecol. Appl. 19, 1835–1847. CrossRefGoogle ScholarPubMed
Mugo, R., Saitoh, S.I., Nihira, A., Kuroyama, T., 2010, Habitat characteristics of skipjack tuna (Katsuwonus pelamis) in the western North Pacific : a remote sensing perspective. Fish. Oceanogr. 19, 382–396. CrossRefGoogle Scholar
Pitcher, T.J., 2001, Fisheries managed to rebuild ecosystems? Recostructing the past to salvage the future. Ecol. Appl. 11, 601–617. CrossRefGoogle Scholar
Roberts, C.M., Bohnsack, J.A., Gell, F., Hawkins, J.P., Goodridge, R., 2001, Effects of marine reserves on adjacent fisheries. Science 294, 1920–1923. CrossRefGoogle ScholarPubMed
Roberts, C.M., Hawkins, J.P., Gell, F.R., 2005, The role of marine reserves in achieving sustainable fisheries. Phil. Trans. R. Soc. B 360, 123–132. CrossRefGoogle ScholarPubMed
Rose, K.A., Cowan, J.H. Jr., Winemiller, K.O., Myers, R.A., Hilborn, R., 2001, Compensatory density dependence in fish populations : importance, controversy, understanding and prognosis. Fish Fish. 2, 293–327. CrossRefGoogle Scholar
Salas, S., Gaertner, D., 2004, The behavioral dynamics of fishers : management implications. Fish Fish. 5, 153–167. CrossRefGoogle Scholar
Stéquert, B., Ramcharrun, B., 1996, La reproduction du listao (Katsuwonus pelamis) dans le bassin ouest de l’océan Indien. Aquat. Living Resour. 9, 235–247. CrossRefGoogle Scholar
Sumaila, U.R., Guénette, S., Alder, J., Chuenpagdee, R., 2000, Addressing ecosystem effects of fishing using marine protected areas. ICES J. Mar. Sci. 57, 752–760. CrossRefGoogle Scholar
Torres-Irineo, E., Gaertner, D., Delgado de Molina, A., Ariz, J., 2011, Effect of time-area closure on tropical tuna purse-seine fleet dynamics through some fishery indicators. Aquat. Living Resour. 24, 337–350. CrossRefGoogle Scholar
UNOSAT 2009, Analysis of Somali pirate activity in 2009. Available : http://unosat.web.cern.ch/unosat/freeproducts/somalia/Piracy/2009/UNOSAT_Somalia_Pirates_Analysis_Q1_2009_23April09_v1.pdf.
Valdemarsen, J.W., 2001, Technological trend in capture fisheries. Ocean Coast. Manage. 44, 635–651. CrossRefGoogle Scholar
Walters, C., 2000, Impacts of dispersal, ecological interactions, and fishing effort dynamics on efficacy of marine protected areas : how large should protected areas be? Bull. Mar. Sci. 66, 745–757. Google Scholar
Walters, C.J., Hilborn, R., Parrish, R., 2007, An equilibrium model for predicting the efficacy of marine protected areas in coastal environments. Can. J. Fish. Aquat. Sci. 64, 1009–1018. CrossRefGoogle Scholar
Wilcox, C., Pomeroy, C., 2003, Do commercial fishers aggregate around marine reserves? Evidence from Big Creek marine ecological reserve, Central California. N. Am. J. Fish. Manage. 23, 241–250. 2.0.CO;2>CrossRefGoogle Scholar
Wilen, J.E., Smith, M.D., Lockwood, D., Botsford, L.W., 2002, Avoiding surprises : incorporating fisherman behavior into management models. Bull. Mar. Sci. 70, 553–575. Google Scholar