Spatial management of Indian Ocean tropical tuna fisheries: potential and perspectives

Effective use of spatial management in the pelagic realm presents special challenges due to high fish and fisher mobility, limited knowledge and significant governance challenges. The tropical Indian Ocean provides an ideal case study for testing our ability to apply existing data sources to assessing impacts of spatial management on tuna fisheries because of several recent controversial spatial closures. We review the scientific underpinnings of pelagic MPA effects, spatio-temporal patterns of Indian Ocean tuna catch, bycatch and fish movements, and the consequences of these for the efficacy of spatial management for Indian Ocean tropical tuna fisheries. The tropical Indian Ocean is characterized by strong environmental fluctuations, regular seasonal variability in catch, large observed tuna displacement distances, relatively uniform catch-per-unit-effort and bycatch rates over space, and high fisher mobility, all of which suggest significant variability and movement in tropical tuna fisheries that are simply not well adapted to static spatial closures. One possible exception to this overall conclusion would be a large time/area closure east of Somalia. If closed for a significant fraction of the year it could reduce purse-seine bycatch and juvenile tuna catch. Dynamic closures following fish migratory patterns are possible, but more focused information on fish movements will be needed for effective implementation. Fortunately, several recent improvements in conventional fishery management and reporting will likely enhance our ability to evaluate spatial and non-spatial management options in the near future, particularly as pertaining to bycatch species.

[1]  Peter J S Jones,et al.  Fortress conservation at sea: A commentary on the Chagos marine protected area , 2011 .

[2]  Ana Paula Prates,et al.  Aquatic protected areas as fisheries management tools , 2007 .

[3]  C. Moeseneder,et al.  Defining dynamic pelagic habitats in oceanic waters off eastern Australia , 2011 .

[4]  H. Weimerskirch,et al.  Foraging movements of great frigatebirds from Aldabra Island: Relationship with environmental variables and interactions with fisheries , 2010 .

[5]  F. Menn,et al.  Gonadosomatic index and seasonal variations of plasma sex steroids in skipjack tuna (Katsuwonus pelamis) and yellowfin tuna (Thunnus albacares) from the western Indian ocean , 2001 .

[6]  R. Grosberg,et al.  Connectivity in Marine Protected Areas , 2006, Science.

[7]  P. Cury,et al.  Biogeography of tuna and billfish communities , 2012 .

[8]  Frédéric Ménard,et al.  Climatic oscillations and tuna catch rates in the Indian Ocean: a wavelet approach to time series analysis , 2007 .

[9]  Karl K. Turekian,et al.  Encyclopedia of Ocean Sciences , 2001 .

[10]  David M. Kaplan,et al.  Consequences of adult and juvenile movement for marine protected areas , 2011 .

[11]  Benjamin S. Halpern,et al.  Marine reserves have rapid and lasting effects , 2002 .

[12]  Matthew J. Slater,et al.  Responses to marine reserves: Decreased dispersion of the sparid Pagrus auratus (snapper) , 2010 .

[13]  Hugh P. Possingham,et al.  Are outcomes matching policy commitments in Australian marine conservation planning , 2013 .

[14]  Y. Tremblay,et al.  New tools for the spatial management of living marine resources , 2010 .

[15]  G. Meyers,et al.  The Years of El Niño, La Niña, and Interactions with the Tropical Indian Ocean , 2007 .

[16]  Murdoch K. McAllister,et al.  Modelling the effects of establishing a marine reserve for mobile fish species , 2002 .

[17]  A. Delgado,et al.  Mesoscale exploitation of a major tuna concentration in the Indian Ocean , 2008 .

[18]  J. Sibert,et al.  Population dynamics and movements of skipjack tuna ( Katsuwonus pelamis ) in the Maldivian fishery: analysis of tagging data from an advection-diffusion-reaction model , 2002 .

[19]  D. Grémillet,et al.  Marine no-take zone rapidly benefits endangered penguin , 2010, Biology Letters.

[20]  Richard J. Barker,et al.  First evidence that marine protected areas can work for marine mammals , 2012 .

[21]  L. Dagorn,et al.  First field-based experiment supporting the meeting point hypothesis for schooling in pelagic fish , 2009, Animal Behaviour.

[22]  I. Ohta,et al.  Periodic behavior and residence time of yellowfin and bigeye tuna associated with fish aggregating devices around Okinawa Islands, as identified with automated listening stations , 2005 .

[23]  R. Hilborn,et al.  The true challenge of giant marine reserves. , 2013, Science.

[24]  D. Tittensor,et al.  Range contraction in large pelagic predators , 2011, Proceedings of the National Academy of Sciences.

[25]  Liuxiong Xu,et al.  Reproductive biology of Bigeye Tuna, Thunnus obesus, (Scombridae) in the eastern and central tropical Pacific Ocean , 2010, Environmental Biology of Fishes.

[26]  M. Doty,et al.  The Island Mass Effect , 1956 .

[27]  D. Gaertner,et al.  Drifting fish aggregation devices could act as an ecological trap for tropical tuna species , 2008 .

[28]  Alan Hastings,et al.  Sustainability and Yield in Marine Reserve Policy , 2004 .

[29]  A. Longhurst.  Ecological Geography of the Sea , 1998 .

[30]  Patrick Lehodey,et al.  Shifting from marine reserves to maritime zoning for conservation of Pacific bigeye tuna (Thunnus obesus) , 2012, Proceedings of the National Academy of Sciences.

[31]  J. Pitchford,et al.  Preventing overexploitation of migratory fish stocks: the efficacy of marine protected areas in a stochastic environment. , 2009 .

[32]  Victor Restrepo,et al.  Is it good or bad to fish with FADs? What are the real impacts of the use of drifting FADs on pelagic marine ecosystems? , 2013 .

[33]  J. Mortimer,et al.  Reefs and islands of the Chagos Archipelago, Indian Ocean: why it is the world's largest no-take marine protected area. , 2012, Aquatic conservation : marine and freshwater ecosystems.

[34]  O. Maury,et al.  Forage fauna in the diet of three large pelagic fishes (lancetfish, swordfish and yellowfin tuna) in the western equatorial Indian Ocean , 2007 .

[35]  P J Somerfield,et al.  Marine reserves: fish life history and ecological traits matter. , 2010, Ecological applications : a publication of the Ecological Society of America.

[36]  Shang-Ping Xie,et al.  Indian Ocean circulation and climate variability , 2009 .

[37]  C. Sheppard.  Marine protected areas and pelagic fishing: the case of the Chagos Archipelago. , 2010, Marine pollution bulletin.

[38]  Shui-Kai Chang,et al.  Catch rate standardization for yellowfin tuna (Thunnus albacares) in Taiwan's distant-water longline fishery in the Western and Central Pacific Ocean, with consideration of target change , 2011 .

[39]  Y. Papastamatiou,et al.  A multiple instrument approach to quantifying the movement patterns and habitat use of tiger (Galeocerdo cuvier) and Galapagos sharks (Carcharhinus galapagensis) at French Frigate Shoals, Hawaii , 2010 .

[40]  Michael J. Fogarty,et al.  Effort distribution and catch patterns adjacent to temperate MPAs , 2005 .

[41]  A. Punt,et al.  Standardizing catch and effort data: a review of recent approaches , 2004 .

[42]  J. Sibert,et al.  Mobility of tropical tunas and the implications for fisheries management , 2003 .

[43]  F. Schott,et al.  The monsoon circulation of the Indian Ocean , 2001 .

[44]  Denis Réale,et al.  Behavioural reaction norms: animal personality meets individual plasticity. , 2010, Trends in ecology & evolution.

[45]  Frédéric Ménard,et al.  Do drifting and anchored Fish Aggregating Devices (FADs) similarly influence tuna feeding habits? A case study from the western Indian Ocean , 2011 .

[46]  C. Walters.  Folly and fantasy in the analysis of spatial catch rate data , 2003 .

[47]  Louis W. Botsford,et al.  TRAJECTORIES AND CORRELATES OF COMMUNITY CHANGE IN NO-TAKE MARINE RESERVES , 2004 .

[48]  David C. Smith,et al.  Human behaviour: the key source of uncertainty in fisheries management , 2011 .

[49]  C. Roberts,et al.  Effects of marine reserves on adjacent fisheries. , 2001, Science.

[50]  E. Chassot,et al.  Pelagic MPAs: the devil is in the details. , 2010, Trends in ecology & evolution.

[51]  D. Pauly,et al.  Patterns of species richness in the high seas , 2005 .

[52]  D. Pauly,et al.  Potential costs and benefits of marine reserves in the high seas , 2007 .

[53]  D. Tittensor,et al.  Current and Future Patterns of Global Marine Mammal Biodiversity , 2011, PloS one.

[54]  Daniel W. Fuller,et al.  Movements, behavior, and habitat selection of bigeye tuna (Thunnus obesus) in the eastern equatorial Pacific, ascertained through archival tags , 2002 .

[55]  R. Blake.  Fish functional design and swimming performance , 2004 .

[56]  O. Maury,et al.  Modelling the effect of marine protected areas on the population of skipjack tuna in the Indian Ocean , 2013 .

[57]  Pierre Magal,et al.  Dynamics of a migratory population under different fishing effort allocation schemes in time and space , 1996 .

[58]  B. Worm,et al.  Rapid worldwide depletion of predatory fish communities , 2003, Nature.

[59]  D. Kaplan,et al.  Relative Impacts of Adult Movement, Larval Dispersal and Harvester Movement on the Effectiveness of Reserve Networks , 2011, PloS one.

[60]  Daniel R. Brumbaugh,et al.  Connectivity, sustainability, and yield: bridging the gap between conventional fisheries management and marine protected areas , 2009, Reviews in Fish Biology and Fisheries.

[61]  Barbara A. Block,et al.  Movements, behavior, and habitat utilization of yellowfin tuna (Thunnus albacares) in the Pacific Ocean off Baja California, Mexico, determined from archival tag data analyses, including unscented Kalman filtering , 2011 .

[62]  Emmanuel Chassot,et al.  Precision in bycatch estimates: the case of tuna purse-seine fisheries in the Indian Ocean , 2012 .

[63]  Adam C. Brown,et al.  Philopatry and migration of Pacific white sharks , 2010, Proceedings of the Royal Society B: Biological Sciences.

[64]  John Marra,et al.  Effect of the 1997/98 El Niño on Chlorophyll a Variability Along the Southern Coasts of Java and Sumatra , 2005 .

[65]  Henri Weimerskirch,et al.  Top marine predators track Lagrangian coherent structures , 2009, Proceedings of the National Academy of Sciences.

[66]  Elizabeth A. Moffitt,et al.  Marine reserve networks for species that move within a home range. , 2009, Ecological applications : a publication of the Ecological Society of America.

[67]  K. Holland,et al.  Movement and vulnerability of bigeye (Thunnus obesus) and yellowfin tuna (Thunnus albacares) in relation to FADs and natural aggregation points , 2000 .

[68]  U. Dieckmann,et al.  Marine reserves and the evolutionary effects of fishing on size at maturation , 2010 .

[69]  G. Russ,et al.  A long-term, spatially replicated experimental test of the effect of marine reserves on local fish yields , 2005 .

[70]  N. Stenseth,et al.  Complex interplays among population dynamics, environmental forcing, and exploitation in fisheries , 2008, Proceedings of the National Academy of Sciences.

[71]  H. Koldewey,et al.  Potential benefits to fisheries and biodiversity of the Chagos Archipelago/British Indian Ocean Territory as a no-take marine reserve. , 2010, Marine pollution bulletin.

[72]  Patterns of variations in large pelagic fish: A comparative approach between the Indian and the Atlantic Oceans , 2010 .

[73]  Botsford,et al.  Dependence of sustainability on the configuration of marine reserves and larval dispersal distance , 2001 .

[74]  David A. Fournier,et al.  An advection-diffusion-reaction model for the estimation of fish movement parameters from tagging data, with application to skipjack tuna (Katsuwonus pelamis) , 1999 .

[75]  Javier Ariz,et al.  Effects of time-area closure on tropical tuna purse-seine fleet dynamics through some fishery indicators , 2011 .

[76]  C. Walters,et al.  Quantitative fisheries stock assessment: Choice, dynamics and uncertainty , 2004, Reviews in Fish Biology and Fisheries.

[77]  Jean-Louis Deneubourg,et al.  Looking behind the curtain: quantifying massive shark mortality in fish aggregating devices , 2013 .

[78]  Daniel Pauly,et al.  Failing the high seas: A global evaluation of regional fisheries management organizations , 2010 .

[79]  Rebecca L. Lewison,et al.  Quantifying the effects of fisheries on threatened species: the impact of pelagic longlines on loggerhead and leatherback sea turtles , 2004 .

[80]  Barbara A. Block,et al.  Movements, behavior, and habitat utilization of yellowfin tuna (Thunnus albacares) in the northeastern Pacific Ocean, ascertained through archival tag data , 2007 .

[81]  R. Starr,et al.  Movements of lingcod (Ophiodon elongatus) in southeast Alaska: potential for increased conservation and yield from marine reserves , 2004 .

[82]  P. Dutton,et al.  Reconciling Biodiversity with Fishing: A Holistic Strategy for Pacific Sea Turtle Recovery , 2008 .

[83]  Edward A. Codling,et al.  Managing mobile species with MPAs: the effects of mobility, larval dispersal, and fishing mortality on closure size , 2009 .

[84]  K. M. Schaefer,et al.  Tracking apex marine predator movements in a dynamic ocean , 2011, Nature.

[85]  David M. Kaplan,et al.  Global implementation of marine protected areas: Is the developing world being left behind? , 2012 .

[86]  M. Neubert,et al.  Marine reserves and optimal harvesting , 2003 .

[87]  Andrew A. Rosenberg,et al.  Wasted fishery resources: discarded by‐catch in the USA , 2005 .

[88]  H. Possingham,et al.  Pelagic protected areas: the missing dimension in ocean conservation. , 2009, Trends in ecology & evolution.

[89]  M. Behrenfeld,et al.  Basin-wide modification of dynamical and biogeochemical processes by the positive phase of the Indian Ocean dipole during the SeaWiFS era , 2013 .

[90]  Michel J. Kaiser,et al.  Confidentiality over fishing effort data threatens science and management progress , 2013 .

[91]  Alan Hastings,et al.  COMPARING DESIGNS OF MARINE RESERVES FOR FISHERIES AND FOR BIODIVERSITY , 2003 .