[1] Bakun, Andrew and Kenneth Broad. 2002. Climate and fisheries: Interacting paradigms, scales, and policy approaches. The IRI-IPRC Pacific Climate-Fisheries Workshop, Honolulu, Hawaii, USA, 14-17 November 2001. http://iri.columbia.edu/outreach/publication/irireport/FisheriesWS2001.pdf, accessed May 5, 2008.
[2] Ciannelli L., D.Ø. Hjermann, P. Lehodey, G. Ottersen, J.T. Duffy-Anderson. N.C. Stenseth. 2005. Chapter 12: Climate Forcing, Food Web Structure and Community Dynamics in Pelagic Marine Ecosystems. Belgrano, A. U. Scharler, J. Dunne and B. Ulanowicz (Eds.). Aquatic Food Webs: An Ecosystem Approach. Oxford University Press: 143-169.
[3] Climate Impacts on Oceanic Top Predators (CLIOTOP), http://web.pml.ac.uk/globec/structure/regional/cliotop/cliotop.htm, accessed June 5, 2008.
[4] Climate Impacts on Oceanic Top Predators (CLIOTOP), 1st GLOBEC CLIOTOP Symposium, 3-7 December 2007, La Paz, Mexico, https://www.confmanager.com/main.cfm?cid=722, accessed June 5, 2008.
[5] Gillett, Robert, Mike McCoy, Len Rodwell, and Josie Tamate. 2001. Tuna: A Key Economic Resource in the Pacific, 2001, Asian Development Bank online publication http://www.adb.org/Documents/Reports/Tuna/tuna.pdf, accessed June 5, 2008.
[6] Hamnett, M.P. and C. L. Anderson. 2000. Impact of ENSO Events on Tuna Fisheries in the U.S. Affiliated PacificIslands. Honolulu: Social Science Research Institute, University of Hawaii.
Abstract This report assesses the impact of El Nino-Southern Oscillation (ENSO) events on the tuna industry in the U.S. affiliated Pacific Islands. It is the result of the first phase of a study on the impact of ENSO cycles on tuna fisheries throughout the Pacific Islands region. The first phase of the research project focused on interviews with fleet managers, vessel captains and crews, transshipment operators and cannery managers in American Samoa, Guam, and other Micronesian Islands. Anecdotal information obtained in the interviews and some regional catch data indicated that some correlation exists between climate and fisheries, and this warrants further study. In Phase Two, the project team plans to statistically analyze catch data for the countries served by the Pacific Community, formerly the South Pacific Commission, and provide a socioeconomic impact analysis.
[7] Hamnett, Michael P. and William Sam Pintz. 1996. The Contribution of Tuna Fishing and Transshipment to the Economies of American Samoa, the Commonwealth of the Northern Mariana Islands, and Guam. SOEST Publication 96-05, JIMAR Contribution 96-303.
Abstract (from above website)
Tuna fishing and transshipment are important to the economies of American Samoa, Commonwealth of the Northern Mariana Islands (CNMI) and Guam. In American Samoa, the tuna canneries and the goods and services purchased by the fleets are the major sources of private sector economic activity. In Guam, transshipping and providing goods and services to tuna boats are minor industries compared to tourism. They are, however, one of Guam's few options for economic diversification. CNMI, also largely a tourism economy, is a major transshipment point for both cannery grade tuna through Tinian and sashimi grade tuna through Saipan bound for the Japanese market. CNMI has not, however, benefitted economically as much as American Samoa and Guam because of a lack of infrastructure and vessel support businesses. The contribution of tuna fishing and transshipment to the local economies of American Samoa, the Commonwealth of the Northern Mariana Islands, and Guam will be defined. Such information has value in evaluating policy options among competing user groups (eg., recreational and commerical fisherman) and assessing development alternatives.
[8] Harley, C.D.G., Hughes, A.R. Hultgren, K.M., Miner, B.G., Sorte, C.J.B., Thornber, C.S., Rodriguez, L.F., Tomanek, L., Williams, S. 2006. The Impacts of Climate Change in Coastal Marine Systems. Ecology Letters 9: 228-241.
Abstract Anthropogenically induced global climate change has profound implications for marine ecosystems and the economic and social systems that depend upon them. The relationship between temperature and individual performance is reasonably well understood, and much climate-related research has focused on potential shifts in distribution and abundance driven directly by temperature. However, recent work has revealed that both abiotic changes and biological responses in the ocean will be substantially more complex. For example, changes in ocean chemistry may be more important than changes in temperature for the performance and survival of many organisms. Ocean circulation, which drives larval transport, will also change, with important consequences for population dynamics. Furthermore, climatic impacts on one or a few leverage species may result in sweeping community-level changes. Finally, synergistic effects between climate and other anthropogenic variables, particularly fishing pressure, will likely exacerbate climate-induced changes. Efforts to manage and conserve living marine systems in the face of climate change will require improvements to the existing predictive framework. Key directions for future research include identifying key demographic transitions that influence population dynamics, predicting changes in the community-level impacts of ecologically dominant species, incorporating populations_ ability to evolve (adapt), and understanding the scales over which climate will change and living systems will respond.
[9] Kronen, Mecki and Aliti Vunisea. 2007, December. Women never hunt – but fish: Highlighting equality for women in policy formulation and strategic
planning in the coastal fisheries sector in Pacific Island countries. SPC Women in Fisheries Information Bulletin, #17. Secretary of the Pacific Community (SPC) Coastal Fisheries Programme. http://www.spc.int/demog/en/index.html, accessed June 5, 2008.
[10] Lawson, Timothy A. (Ed.) Western and Central Pacific Fisheries Commission: Tuna Fishery Yearbook 2006. Pohnpei, Federated States of Micronesia: Western and Central Pacific Fisheries Commission. http://www.spc.int/oceanfish/Docs/Statistics/YB_2006.pdf, accessed May 5, 2008.
Abstract (published by Western and Central Pacific Fisheries Commission http://wcpfc.org).
The WCPFC Tuna Fishery Yearbook covers tuna fisheries in the WCPFC Statistical Area from 1950 to 2006. The tables of catch statistics cover the four main commercial species: albacore (Thunnus alalunga), bigeye (Thunnus obesus), skipjack (Katsuwonus pelamis) and yellowfin (Thunnus albacares). Catches of other species, e.g. billfish, are not covered explicitly, and discards are not considered. Historical statistics have been revised as new information has been made available. Statistical tables covering individual fleets are followed by tables summarising the numbers of vessels, catches by species and gear type in the WCPO, and catches by species and ocean areas.
[11] Lehodey, P. 2000. Impacts of the El Niño Southern Oscillation on Tuna Populations and Fisheries in the Tropical Pacific Ocean. 13th Standing Committee on Tuna and Billfish, Noumea, 5-12 July 2000, Secretariat of the Pacific Community, Noumea, Working Paper SCTB13-RG-1. http://www.spc.int/oceanfish/Html/SCTB/SCTB13/rg1.pdf, accessed May 3, 2008.
[12] Lehodey P. 2001. The pelagic ecosystem of the tropical Pacific Ocean: dynamic spatial modelling and biological consequences of ENSO. Progress in Oceanography 49: 439-468.
Abstract A feature of the central equatorial Pacific is a strong divergent equatorial upwelling called the cold tongue, which is favorable to the development of a large zonal band with high levels of primary production. Contiguous to the cold tongue, is the western Pacific warm pool, which is characterized by warmer water with lower levels of primary production. At the top of the food web, the tropical tunas are a major component of the pelagic ecosystem and have their maximum biomass in the warm pool. However, during ENSO (El Nino Southern Oscillation) events, variability is observed in both environmental factors and the spatial distribution of tuna. A Spatial Environmental Population Dynamics Model (SEPODYM) is used to assist in the analysis and interpretation of these fishery oceanographic observations. A modelling approach is described and applied to the population and fisheries of skipjack tuna, one of the top predator species with its greatest biomass in the tropical pelagic ecosystem. Environmental variables are used in the model for delineating the spawning area of skipjack, reproducing the transport of its larvae and juveniles, and simulating tuna forage. The forage production is deduced from a simple ecological transfer based on new primary production with biomass calculated as a single population. The model considers an interaction between predicted tuna density and forage density. A habitat index combining temperature preferences with forage distribution is used to constrain the movement of adult tuna. Results of the simulation allow realistic prediction of the large-scale distribution of the species. There is a remarkable out-of-phase pattern linked to ENSO between the western Pacific region and the cold tongue. This pattern is consistent with the observed movements of skipjack.
[13] Lehodey P. 2004. Chapter 11: Climate and Fisheries: an Insight from the Pacific Ocean. Stenseth N.C., Ottersen G., Hurrel J. and Belgrano A. (Eds.) Ecological Effects of Climate Variations in the North Atlantic. Oxford University press: 137-146.
[14] Lehodey P., J. Alheit, M. Barange, T. Baumgartner, G. Beaugrand, K. Drinkwater K., J.-M. Fromentin, S. R. Hare, G. Ottersen, R. I. Perry., C. Roy, C.D. van der Lingen, and F. Werner. 2006. Climate Variability, Fish and Fisheries. Journal of Climate 19 (20): 5009–5030.
Abstract Fish population variability and fisheries activities are closely linked to weather and climate dynamics. While weather at sea directly affects fishing, environmental variability determines the distribution, migration, and abundance of fish. Fishery science grew up during the last century by integrating knowledge from oceanography, fish biology, marine ecology and fish population dynamics, largely focused on the great northern hemisphere fisheries. During this period, understanding and explaining interannual fish recruitment variability became a major focus for fisheries oceanographers. Yet, the close link between climate and fisheries is best illustrated by the effect of 'unexpected' events – i.e. non-seasonal, and sometimes catastrophic – on fish exploitation, such as those associated with the El Niño/ Southern Oscillation (ENSO). The observation that fish populations fluctuate at decadal time scales and show patterns of synchrony while being geographically separated drew attention to oceanographic processes driven by low frequency signals, as reflected by indices tracking large scale climate patterns such as the Pacific Decadal Oscillation (PDO) and the North Atlantic Oscillation (NAO). This low frequency variability was first observed in catch fluctuations of small pelagic fish (anchovies, sardines), but similar effects soon emerged for larger fish such as salmons, various groundfish species, and some tuna species. Today, the availability of long time series of observations combined with major scientific advances in sampling and modelling the oceans ecosystems allows fisheries science to investigate processes generating variability in abundance, distribution and dynamics of fish species at daily, decadal and even centennial scales. These studies are central to the research programme of GLOBEC (Global Ocean Ecosystems Dynamics). In this review, we present examples of relationships between climate variability and fisheries at these different time-scales for species covering various marine ecosystems ranging from equatorial to sub-arctic regions. We describe some of the known mechanisms linking climate variability and exploited fish populations, as well as some leading hypotheses, and their implications for their management and for the modelling of their dynamics. We conclude with recommendations for collaborative work between climatologists, oceanographers and fisheries scientists to resolve some of the outstanding problems in the development of sustainable fisheries.
[15] Lehodey, P., M. Bertignac, J. Hampton, A. Lewis, A. and J. Picaut. 1997. El Nino Southern Oscillation and Tuna in the Western Pacific. Nature 389: 715-718.
Abstract (published by Nature Publishing, London), http://www.nature.com/nature/journal/v389/n6652/abs/389715a0.html, accessed June 5, 2008.
Nearly 70% of the world's annual tuna harvest, currently 3.2 million tonnes, comes from the Pacific Ocean. Skipjack tuna (Katsuwonus pelamis) dominate the catch. Although skipjack are distributed in the surface mixed layer throughout the equatorial and subtropical Pacific, catches are highest in the western equatorial Pacific warm pool, a region characterized by low primary productivity rates1 that has the warmest surface waters of the world's oceans. Assessments of tuna stocks indicate that recent western Pacific skipjack catches approaching one million tonnes annually are sustainable. The warm pool, which is fundamental to the El Niño Southern Oscillation (ENSO) and the Earth's climate in general, must therefore also provide a habitat capable of supporting this highly productive tuna population. Here we show that apparent spatial shifts in the skipjack population are linked to large zonal displacements of the warm pool that occur during ENSO events. This relationship can be used to predict (several months in advance) the region of highest skipjack abundance, within a fishing ground extending over 6,000 km along the Equator.
[16] Lehoday, P., Chai, F., and J. Hamption. 2003. Modelling Climate-Related Variability of Tuna Populations from a Coupled Ccean-Biogeochemical-Populations Dynamics Model. Fish Oceanography 12(4):483-494.
Abstract In the last five decades for which tuna fishing data are available, the interannual ENSO signal (SOI) and the related Pacific Decadal Oscillation (PDO) suggest two different regimes characterized by higher intensity and frequency of either El Niño or La Niña events. Recent estimates from a statistical population dynamics model (MULTIFAN-CL) suggest that recruitment of three tuna species in the Pacific are correlated with these climate indices. While tropical tuna species like skipjack (Katsuwonus pelamis) and yellowfin (Thunnus albacares) had higher recruitments during El Niño events, the subtropical albacore species (Thunnus alalunga) showed the opposite pattern with low recruitment during El Niño and high recruitment during La Niña. The potential explanatory mechanisms for such relationships between recruitment and climate are investigated with a spatial environmental population model (SEPODYM). The model is a two-dimensional coupled physical–biological interaction model at the ocean basin scale, and contains environmental and spatial components used to constrain the movement and the recruitment of tuna. Input datasets for the model are sea surface temperature, oceanic currents and new primary production that are simulated fields from a three-dimensional coupled physical–biogeochemical model. The hypothesis that the spatial dynamics of temperature, currents (advection), food availability and predation constrain tuna recruitment is evaluated with an application of SEPODYM to skipjack. Simulation results showed that this hypothesis can reproduce fluctuations in the population that are similar to those estimated from the statistical model.
[17] Moss, Rhea M. 2007. Environment and development in the Republic of the Marshall Islands: Linking climate change with sustainable fisheries development. Natural Resources Forum 31:111-118.
Abstract The Republic of the Marshall Islands (RMI) is a major custodian of one of the ocean's major natural resources: tuna. The commercial tuna fisheries sector is the most important economic sector in the RMI and is thus a substantial contributor to this tiny island nation's GDP. Tuna catch and its associated revenues has fluctuated in line with climatic events such as the El Niño/La Niña Southern Oscillation (ENSO) and, in the last decade, national fisheries development policies have begun to capitalize on the positive effects that ENSO warm events have had on the tuna populations. However, global warming is expected to have a significant impact on ENSO, and not necessarily in positive ways. This paper will focus on the relationship between environment and economic development in the RMI fisheries sector. In particular, the linkages between global warming and its effects on the tuna fisheries sector must be better understood and uncertainties accounted for so that impacts are appropriately addressed and integrated into sustainable fisheries development policies. Conclusions reached are that new fisheries development strategies that emphasize environmental-based planning are required. The emerging ecosystem-based approach to fisheries management is a start, as are the various international initiatives in furthering our understanding of the linkages between climate and ocean systems currently underway.
[16] Polovina J. J. and W. R. Haight, 1998. Climate Variation, Ecosystem Dynamics, and Fisheries Management in the Northwestern Hawaiian Islands. Holloway, G., P. Muller, D. Henderson (Eds.). Biotic Impacts of Extratropical Climate Variability in the Pacific: Proceedings 'Aha Huliko'a, Hawaiian winter workshop, University of Hawaii at Manoa, Honolulu, Hawaii, January 25-29, 1998, p. 105-108. SOEST Special Production. Honolulu: University of Hawaii.
[19] Secretariat of the Pacific Community, Oceanic Fisheries Programme http://www.spc.int/oceanfish/Docs/Statistics/TYB.htm, accessed June 5, 2008.
[20] Werner, Francisco E., Alfredo Aretxabaleta, and Karen Pehrson Edwards. 2004. Chapter 3: Modelling Marine Ecosystems and Their Environmental Forcing. Stenseth N.C., Ottersen G., Hurrel J. and Belgrano A. (Eds.)
Ecological effects of climate variations in the North Atlantic (Chapter 3)
. Oxford University press: 33-46