S. Alvain, C. Moulin, Y. Dandonneau, and B. F. , Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery. Deep Sea Research Part I: Oceanographic Research Papers, pp.1989-2004, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00156839

A. Bakun, Patterns in the Ocean: Ocean Processes and Marine Population Dynamics. California Sea Grant College System, 1996.

A. Bakun, Fronts and eddies as key structures in the habitat of marine fish larvae: opportunity, adaptive response and competitive advantage, Scientia Marina, vol.70, issue.S2, p.2, 2006.
DOI : 10.3989/scimar.2006.70s2105

G. Beaugrand, F. Ibanez, J. A. Lindley, R. , and P. C. , Diversity of calanoid copepods in the North Atlantic and adjacent seas: species associations and biogeography, Marine Ecology Progress Series, vol.232, pp.179-195, 2002.
DOI : 10.3354/meps232179

M. W. Beck, K. L. Heck, K. W. Able, D. L. Childers, D. B. Eggleston et al., The Identification, Conservation, and Management of Estuarine and Marine Nurseries for Fish and Invertebrates, BioScience, vol.51, issue.8, pp.633-641, 2001.
DOI : 10.1641/0006-3568(2001)051[0633:TICAMO]2.0.CO;2

M. J. Behrenfeld and P. G. Falkowski, Photosynthetic rates derived from satellite-based chlorophyll concentration, Limnology and Oceanography, vol.42, issue.1, pp.1-20, 1997.
DOI : 10.4319/lo.1997.42.1.0001

I. M. Belkin, O. Reilly, and J. E. , An algorithm for oceanic front detection in chlorophyll and SST satellite imagery, Journal of Marine Systems, vol.78, issue.3, pp.319-326, 2009.
DOI : 10.1016/j.jmarsys.2008.11.018

A. Bertrand, E. Josse, P. Bach, P. Gros, and L. Dagorn, Hydrological and trophic characteristics of tuna habitat: consequences on tuna distribution and longline catchability, Canadian Journal of Fisheries and Aquatic Sciences, vol.59, issue.6, 2002.
DOI : 10.1139/f02-073

K. A. Bigelow, C. H. Boggs, and X. He, Environmental effects on swordfish and blue shark catch rates in the US North Pacific longline fishery, Fisheries Oceanography, vol.87, issue.3, pp.178-198, 1999.
DOI : 10.1175/1520-0485(1992)022<1302:SSMITN>2.0.CO;2

S. J. Bograd, B. A. Block, D. P. Costa, and B. J. Godley, Biologging technologies: new tools for conservation. Introduction, Endangered Species Research, vol.10, pp.1-7, 2010.
DOI : 10.3354/esr00269

L. W. Botsford, J. C. Castilla, and C. H. Peterson, The Management of Fisheries and Marine Ecosystems, Science, vol.277, issue.5325, pp.509-515, 1997.
DOI : 10.1126/science.277.5325.509

P. Brasseur, N. Gruber, R. Barciela, K. Brander, M. Doron et al., Integrating Biogeochemistry and Ecology Into Ocean Data Assimilation Systems, Oceanography, vol.22, issue.3, 2009.
DOI : 10.5670/oceanog.2009.80

URL : https://hal.archives-ouvertes.fr/hal-00359024

R. W. Brill and M. E. Lutcavage, Understanding environmental influences on movements and depth distributions of tunas and billfish can significantly improve population assessments, 2001.

M. J. Butler, M. C. Mouchot, V. Barale, and C. Leblanc, The application of remote sensing technology to marine fisheries: an introductory manual. FAO Fisheries Technical Paper, p.295, 1988.

J. B. Campbell, Introduction to remote sensing, Geocarto International, vol.2, issue.4, 2007.
DOI : 10.1080/10106048709354126

Y. Canny, A computational approach to edge detection, IEEE transactions on pattern analysis and machine intelligence, vol.8, pp.679-698, 1986.

M. Carr, M. A. Friedrichs, M. Schmeltz, M. N. Aita, D. Antoine et al., A comparison of global estimates of marine primary production from ocean color, Deep Sea Research Part II: Topical Studies in Oceanography, vol.53, issue.5-7, pp.741-770, 2006.
DOI : 10.1016/j.dsr2.2006.01.028

R. M. Castelao, T. P. Mavor, J. A. Barth, and L. C. Breaker, Sea surface temperature fronts in the California Current System from geostationary satellite observations, Journal of Geophysical Research, vol.80, issue.C10, p.9026, 2006.
DOI : 10.1029/2006JC003541

J. F. Cayula, C. , and P. , Edge Detection Algorithm for SST Images, Journal of Atmospheric and Oceanic Technology, vol.9, issue.1, pp.67-80, 1992.
DOI : 10.1175/1520-0426(1992)009<0067:EDAFSI>2.0.CO;2

J. F. Cayula, C. , and P. , Multi-Image Edge Detection for SST Images, Journal of Atmospheric and Oceanic Technology, vol.12, issue.4, pp.821-829, 1995.
DOI : 10.1175/1520-0426(1995)012<0821:MIEDFS>2.0.CO;2

E. Chassot, S. Bonhommeau, N. K. Dulvy, F. Mélin, R. Watson et al., Global marine primary production constrains fisheries catches, Ecology Letters, vol.5, issue.4, pp.495-505, 2010.
DOI : 10.1111/j.1461-0248.2010.01443.x

URL : https://hal.archives-ouvertes.fr/hal-00729524

E. Chassot, F. Mélin, L. Pape, O. Gascuel, and D. , Bottom-up control regulates fisheries production at the scale of eco-regions in European seas, Marine Ecology Progress Series, vol.343, pp.45-55, 2007.
DOI : 10.3354/meps06919

W. W. Cheung, V. W. Lam, J. L. Sarmiento, K. Kearney, R. Watson et al., Projecting global marine biodiversity impacts under climate change scenarios, Fish and Fisheries, vol.30, issue.2, pp.235-251, 2009.
DOI : 10.1111/j.1467-2979.2008.00315.x

W. W. Cheung, V. W. Lam, J. L. Sarmiento, K. Kearney, R. Watson et al., Large-scale redistribution of maximum fisheries catch potential in the global ocean under climate change, Global Change Biology, vol.14, issue.1, pp.24-35, 2010.
DOI : 10.1111/j.1365-2486.2009.01995.x

C. Cox and W. Munk, Statistics of the sea surface derived from sun glitter, Journal of Marine Research, vol.13, pp.198-227, 1954.

J. J. Cullen, P. J. Franks, D. M. Karl, and A. Longhurst, Physical influences on marine ecosystem dynamics. The Sea, pp.297-335, 2002.

J. Cummings, L. Bertino, P. Brasseur, I. Fukumori, M. Kamachi et al., Ocean data assimilation systems for GODAE. Oceanography, pp.96-109, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00359026

P. Cury, R. , and C. , Optimal Environmental Window and Pelagic Fish Recruitment Success in Upwelling Areas, Canadian Journal of Fisheries and Aquatic Sciences, vol.46, issue.4, pp.670-680, 1989.
DOI : 10.1139/f89-086

P. Cury, Y. Shin, B. Planque, J. Durant, J. Fromentin et al., Ecosystem oceanography for global change in fisheries, Trends in Ecology & Evolution, pp.338-346, 2008.
DOI : 10.1016/j.tree.2008.02.005

D. H. Cushing, Climate and Fisheries, 1982.

D. Cushing, A difference in structure between ecosystems in strongly stratified waters and in those that are only weakly stratified, Journal of Plankton Research, vol.11, issue.1, pp.1-13, 1989.
DOI : 10.1093/plankt/11.1.1

H. Demarcq and V. Faure, Coastal upwelling and associated retention indices derived from satellite SST. Application to Octopus vulgaris recruitment, Oceanologica Acta, vol.23, issue.4, pp.391-408, 2000.
DOI : 10.1016/S0399-1784(00)01113-0

E. Devred, S. Sathyendranath, and T. Platt, Delineation of ecological provinces using ocean colour radiometry, Marine Ecology Progress Series, vol.346, pp.1-13, 2007.
DOI : 10.3354/meps07149

S. Djavidnia, F. Mélin, and N. Hoepffner, Comparison of global ocean colour data records, Ocean Science, vol.6, issue.1, pp.61-76, 2010.
DOI : 10.5194/os-6-61-2010

J. N. Druon, Habitat mapping of the Atlantic bluefin tuna derived from satellite data: Its potential as a tool for the sustainable management of pelagic fisheries, Marine Policy, vol.34, issue.2, pp.293-297, 2010.
DOI : 10.1016/j.marpol.2009.07.005

F. Ovidio, V. Fernandez, E. Hernández-garcía, and C. Lopez, Mixing structures in the Mediterranean Sea from finite-size Lyapunov exponents, Geophysical Research Letters, vol.31, p.17203, 2004.

H. W. Ducklow, Biogeochemical Provinces: Towards a JGOFS Synthesis, pp.3-17, 2003.
DOI : 10.1007/978-3-642-55844-3_2

N. K. Dulvy, E. Chassot, J. J. Heymans, K. Hyde, D. Pauly et al., Climate change, ecosystem variability and fisheries productivity. In Remote sensing in fisheries and aquaculture, pp.11-28, 2009.

S. Ekman, Zoogeography of the Sea, p.417, 1953.

K. Fanning, Nutrient provinces in the sea: Concentration ratios, reaction rate ratios, and ideal covariation, Journal of Geophysical Research, vol.5, issue.C4, pp.5693-5712, 1992.
DOI : 10.1029/92JC00007

V. Faure, C. A. Inejih, H. Demarcq, C. , and P. , Octopus recruitment success and retention processes in upwelling areas: The example of the Arguin bank (Mauritania). Fisheries Oceanography, pp.343-355, 2000.

P. C. Fiedler and H. J. Bernard, Tuna aggregation and feeding near fronts observed in satellite imagery, Continental Shelf Research, vol.7, issue.8, pp.871-881, 1987.
DOI : 10.1016/0278-4343(87)90003-3

A. Fonteneau, Atlas of tropical tuna fisheries. ORSTOM Edition, 0192.

K. T. Frank, B. Petrie, N. L. Shackell, and J. S. Choi, Reconciling differences in trophic control in mid-latitude marine ecosystems, Ecology Letters, vol.84, issue.Suppl., pp.1096-1105, 2006.
DOI : 10.1111/j.1461-0248.2006.00961.x

M. A. Friedrichs, M. E. Carr, R. T. Barber, M. Scardi, D. Antoine et al., Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean, Journal of Marine Systems, vol.76, issue.1-2, pp.113-133, 2009.
DOI : 10.1016/j.jmarsys.2008.05.010

M. A. Friedrichs, Assimilation of JGOFS EqPac and SeaWiFS data into a marine ecosystem model of the Central Equatorial Pacific Ocean. Deep Sea Research Part II: Topical Studies in Oceanography, pp.289-319, 2002.

C. Fuentes-yaco, P. A. Koeller, S. Sathyendranath, and T. Platt, Shrimp (Pandalus borealis) growth and timing of the spring phytoplankton bloom on the Newfoundland-Labrador Shelf. Fisheries Oceanography, pp.116-129, 2007.

A. Gangopadhyay, R. , and A. R. , Feature-oriented regional modeling of oceanic fronts, Dynamics of Atmospheres and Oceans, vol.36, issue.1-3, pp.201-232, 2002.
DOI : 10.1016/S0377-0265(02)00032-5

M. J. Gibbons, Pelagic biogeography of the South Atlantic Ocean, Marine Biology, vol.129, issue.4, pp.757-768, 1997.
DOI : 10.1007/s002270050218

J. F. Gómez-lopera, J. Martínez-aroza, A. M. Robles-pérez, and R. And-román-roldán, An analysis of edge detection by using the Jensen-Shannon divergence, Journal of Mathematical Imaging and Vision, vol.13, issue.1, pp.35-56, 2000.
DOI : 10.1023/A:1008325607354

R. C. Herron, T. D. Leming, L. , and J. , Satellite-detected fronts and butterfish aggregations in the northeastern Gulf of Mexico, Continental Shelf Research, vol.9, issue.6, pp.569-588, 1989.
DOI : 10.1016/0278-4343(89)90022-8

K. J. Heywood, E. L. Mcdonagh, and M. A. White, Eddy kinetic energy of the North Atlantic subpolar gyre from satellite altimetry, Journal of Geophysical Research, vol.94, issue.C11, pp.22-525, 1994.
DOI : 10.1029/94JC01740

R. Hilborn and C. J. Walters, Quantitative Fisheries Stock Assessment. Choice, Dynamics and Uncertainty, 1992.

R. J. Holyer and S. H. Peckinpaugh, Edge detection applied to satellite imagery of the oceans, IEEE Transactions on Geoscience and Remote Sensing, vol.27, issue.1, pp.46-56, 1989.
DOI : 10.1109/36.20274

S. B. Hooker, N. W. Rees, and J. Aiken, An objective methodology for identifying oceanic provinces, Progress in Oceanography, vol.45, issue.3-4, pp.313-338, 2000.
DOI : 10.1016/S0079-6611(00)00006-9

E. A. Howell, D. R. Kobayashi, D. M. Parker, G. H. Balazs, and J. J. Polovina, TurtleWatch: a tool to aid in the bycatch reduction of loggerhead turtles Caretta caretta in the Hawaii-based pelagic longline fishery, Endangered Species Research, vol.5, pp.267-278, 2008.
DOI : 10.3354/esr00096

M. Huret, F. Gohin, D. Delmas, M. Lunven, G. et al., Use of SeaWiFS data for light availability and parameter estimation of a phytoplankton production model of the Bay of Biscay, Journal of Marine Systems, vol.65, issue.1-4, pp.509-531, 2007.
DOI : 10.1016/j.jmarsys.2005.07.007

URL : https://hal.archives-ouvertes.fr/hal-00282586

S. Jennings and J. L. Blanchard, Fish abundance with no fishing: predictions based on macroecological theory, Journal of Animal Ecology, vol.7, issue.4, pp.632-642, 2004.
DOI : 10.1038/416389a

S. Jennings, F. Mélin, J. L. Blanchard, R. Forster, N. K. Dulvy et al., Global-scale predictions of community and ecosystem properties from simple ecological theory, Proceedings of the Royal Society B: Biological Sciences, vol.46, issue.19, pp.1375-1383, 2008.
DOI : 10.1126/science.166.3901.72

L. Jiang, X. H. Yan, and V. Klemas, Remote sensing for the identification of coastal plumes: case studies of Delaware Bay, International Journal of Remote Sensing, vol.109, issue.8, pp.2033-2048, 2009.
DOI : 10.1080/01431160802549211

M. Kahru, B. Håkansson, and O. Rud, Distributions of the sea-surface temperature fronts in the Baltic Sea as derived from satellite imagery, Continental Shelf Research, vol.15, issue.6, pp.663-679, 1995.
DOI : 10.1016/0278-4343(94)E0030-P

A. P. Klimley and S. B. Butler, Immigration and emigration of a pelagic fish assemblage to seamounts in the Gulf of California related to water mass movements using satellite imagery, Marine Ecology Progress Series, vol.49, 1988.
DOI : 10.3354/meps049011

D. R. Kobayashi, J. J. Polovina, D. M. Parker, N. Kamezaki, I. Cheng et al., Pelagic habitat characterization of loggerhead sea turtles, Caretta caretta, in the North Pacific Ocean (1997???2006): Insights from satellite tag tracking and remotely sensed data, the North Pacific Ocean, pp.96-114, 1997.
DOI : 10.1016/j.jembe.2007.12.019

D. R. Kobayashi, I. Cheng, D. M. Parker, J. J. Polovina, D. Chelton et al., Loggerhead turtle (Caretta caretta) movement off the coast of Taiwan: characterization of a hotspot in the East China Sea and investigation of mesoscale eddies, ICES Journal of Marine Science, vol.68, issue.4, pp.0-000, 2010.
DOI : 10.1093/icesjms/fsq185

P. Koeller, C. Fuentes-yaco, T. Platt, S. Sathyendranath, A. Richards et al., Basin-Scale Coherence in Phenology of Shrimps and Phytoplankton in the North Atlantic Ocean, Science, vol.324, issue.5928, pp.791-793, 2009.
DOI : 10.1126/science.1170987

B. Kumari and M. Raman, Whale shark habitat assessments in the northeastern Arabian Sea using satellite remote sensing, International Journal of Remote Sensing, vol.41, issue.2, pp.379-389, 2010.
DOI : 10.1029/91JC01711

P. Kurien, M. Ikeda, and V. K. Valsala, Mesoscale variability along the east coast of India in spring as revealed from satellite data and OGCM simulations, Journal of Oceanography, vol.50, issue.10, pp.273-289, 2010.
DOI : 10.1007/s10872-010-0024-x

R. Lasker, J. Pelaez, and R. M. Laurs, The use of satellite infrared imagery for describing ocean processes in relation to spawning of the northern anchovy (Engraulis mordax) Remote Sensing of Environment, pp.439-453, 1981.

R. M. Laurs, P. C. Fiedler, M. , and D. R. , Albacore tuna catch distributions relative to environmental features observed from satellites, Deep Sea Research Part A. Oceanographic Research Papers, vol.31, issue.9, pp.1085-1099, 1984.
DOI : 10.1016/0198-0149(84)90014-1

L. Gall and J. , Télédétection satellitaire et pêcheries thonières océaniques. FAO Fisheries Technical Paper No 302, 1989.

W. K. Li, E. J. Head, H. , and W. G. , Macroecological limits of heterotrophic bacterial abundance in the ocean. Deep Sea Research Part I: Oceanographic Research Papers, pp.1529-1540, 2004.

A. R. Longhurst, Ecological Geography of the Sea, 2007.

A. R. Longhurst, S. Sathyendranath, T. Platt, and C. Caverhill, An estimate of global primary production in the ocean from satellite radiometer data, Journal of Plankton Research, vol.17, issue.6, pp.1245-1271, 1995.
DOI : 10.1093/plankt/17.6.1245

R. Margalef, Correlations entre certains caract???res synth???tiques des populations de phytoplancton, Hydrobiologia, vol.15, issue.2, pp.155-164, 1961.
DOI : 10.1007/BF00731369

S. Martin, An Introduction to Ocean Remote Sensing, 2004.
DOI : 10.1017/CBO9781139094368

G. A. Maul, F. Williams, M. Roffer, and F. M. Sousa, Remotely sensed oceanographic patterns and variability of bluefin tuna catch in the Gulf of Mexico, Oceanologica Acta, vol.7, pp.469-479, 1984.

F. Mélin, Global Distribution of the random uncertainty associated with satellite-derived Chl a, 2010.

P. Miller, Multi-spectral front maps for automatic detection of ocean colour features from SeaWiFS, International Journal of Remote Sensing, vol.9, issue.7-8, pp.1437-1442, 2004.
DOI : 10.1080/01431160310001592409

P. Miller, Composite front maps for improved visibility of dynamic sea-surface features on cloudy SeaWiFS and AVHRR data, Journal of Marine Systems, vol.78, issue.3, pp.327-336, 2009.
DOI : 10.1016/j.jmarsys.2008.11.019

G. S. Molleri, E. M. Novo, and M. Kampel, Space-time variability of the Amazon River plume based on satellite ocean color, Continental Shelf Research, vol.30, issue.3-4, pp.342-352, 2010.
DOI : 10.1016/j.csr.2009.11.015

D. R. Montgomery, Commercial applications of satellite oceanography. Oceanus, pp.56-65, 1981.

P. J. Mumby, W. Skirving, A. E. Strong, J. T. Hardy, E. F. Ledrew et al., Remote sensing of coral reefs and their physical environment, Marine Pollution Bulletin, vol.48, issue.3-4, pp.219-228, 2004.
DOI : 10.1016/j.marpolbul.2003.10.031

A. Nielsen, K. A. Bigelow, M. K. Musyl, and J. R. Sibert, Improving light-based geolocation by including sea surface temperature. Fisheries Oceanography, pp.314-325, 2006.

K. Nieto, Variabilidad oceánica de mesoescala en los ecosistemas de afloramiento de Chile y Canarias: una comparación a partir de datos satelitales, p.165, 2009.

A. Okubo, Horizontal dispersion of floatable particles in the vicinity of velocity singularities such as convergences, Deep Sea Research and Oceanographic Abstracts, vol.17, issue.3, pp.445-454, 1970.
DOI : 10.1016/0011-7471(70)90059-8

R. J. Olson and C. H. Boggs, ): Independent Estimates from Gastric Evacuation and Stomach Contents, Bioenergetics, and Cesium Concentrations, Canadian Journal of Fisheries and Aquatic Sciences, vol.43, issue.9, pp.1760-1775, 1986.
DOI : 10.1139/f86-220

P. Ouellet, L. Savard, and P. Larouche, Spring oceanographic conditions and northern shrimp Pandalus borealis recruitment success in the north-western Gulf of St. Lawrence, Marine Ecology Progress Series, vol.339, pp.229-241, 2007.
DOI : 10.3354/meps339229

P. Otero, M. Ruiz-villarreal, and A. Peliz, River plume fronts off NW Iberia from satellite observations and model data, ICES Journal of Marine Science, vol.66, issue.9, pp.1853-1864, 2009.
DOI : 10.1093/icesjms/fsp156

D. M. Palacios, S. J. Bograd, D. G. Foley, and F. B. Schwing, Oceanographic characteristics of biological hot spots in the North Pacific: A remote sensing perspective. Deep Sea Research Part II: Topical Studies in Oceanography, pp.250-269, 2006.

T. Patterson, L. Thomas, X. Wilcox, O. Ovaskainen, M. et al., State???space models of individual animal movement, Trends in Ecology & Evolution, vol.23, issue.2, pp.87-94, 2008.
DOI : 10.1016/j.tree.2007.10.009

D. Pauly, J. Alder, E. Bennett, V. Christensen, P. Tyedmers et al., The Future for Fisheries, Science, vol.302, issue.5649, pp.1359-1361, 2003.
DOI : 10.1126/science.1088667

D. Pauly, V. Christensen, R. Froese, A. Longhurst, T. Platt et al., Mapping fisheries onto marine ecosystems: a proposal for a consensus approach for regional, oceanic and global integrations. Fisheries Centre Research Reports, pp.13-22, 2000.

M. Petit, Aerospatial remote sensing as catalyst of an operational marine fishery (halieutic) science, International Journal of Remote Sensing, vol.198, issue.4, pp.713-724, 1991.
DOI : 10.1080/01431169108929692

E. E. Plagányi, Models for an ecosystem approach to fisheries. FAO Fisheries Technical Paper No. 477, 2007.

B. Planque, J. Fromentin, P. Cury, K. F. Drinkwater, S. Jennings et al., How does fishing alter marine populations and ecosystems sensitivity to climate?, Journal of Marine Systems, vol.79, issue.3-4, pp.403-417, 2010.
DOI : 10.1016/j.jmarsys.2008.12.018

T. Platt and S. Sathyendranath, Spatial Structure of Pelagic Ecosystem Processes in the Global Ocean, Ecosystems, vol.2, issue.5, pp.384-394, 1999.
DOI : 10.1007/s100219900088

T. Platt and S. Sathyendranath, Ecological indicators for the pelagic zone of the ocean from remote sensing, Remote Sensing of Environment, vol.112, issue.8, pp.3426-3436, 2008.
DOI : 10.1016/j.rse.2007.10.016

T. Platt, S. Sathyendranath, and C. Fuentes-yaco, Biological oceanography and fisheries management: perspective after 10 years, ICES Journal of Marine Science, vol.64, issue.5, pp.863-869, 2007.
DOI : 10.1093/icesjms/fsm072

J. Polovina, I. Uchida, G. Balazs, E. A. Howell, D. Parker et al., The Kuroshio Extension Bifurcation Region: A pelagic hotspot for juvenile loggerhead sea turtles. Deep Sea Research Part II: Topical Studies in Oceanography, pp.326-339, 2006.

J. J. Polovina and E. A. Howell, Ecosystem indicators derived from satellite remotely sensed oceanographic data for the North Pacific, ICES Journal of Marine Science, vol.62, issue.3, pp.319-327, 2005.
DOI : 10.1016/j.icesjms.2004.07.031

J. J. Polovina, E. Howell, D. R. Kobayashi, and M. P. Seki, The transition zone chlorophyll front, a dynamic global feature defining migration and forage habitat for marine resources, Progress in Oceanography, vol.49, issue.1-4, pp.469-483, 2001.
DOI : 10.1016/S0079-6611(01)00036-2

J. J. Polovina, D. R. Kobayashi, D. M. Parker, M. P. Seki, and G. H. Balazs, Turtles on the edge: movement of loggerhead turtles (Caretta caretta) along oceanic fronts, spanning longline fishing grounds in the central North Pacific, 1997-1998, Fisheries Oceanography, vol.100, issue.1, pp.71-82, 1997.
DOI : 10.1175/1520-0485(1980)010<0342:OTSFZN>2.0.CO;2

A. J. Richardson and E. S. Poloczanska, OCEAN SCIENCE: Under-Resourced, Under Threat, Science, vol.320, issue.5881, p.1294, 2008.
DOI : 10.1126/science.1156129

G. Reygondeau and G. Beaugrand, Future climate-driven shifts in distribution of Calanus finmarchicus, Global Change Biology, vol.68, issue.2
DOI : 10.1111/j.1365-2486.2010.02310.x

F. Royer, J. Fromentin, and P. Gaspar, Association between bluefin tuna schools and oceanic features in the western Mediterranean, Marine Ecology Progress Series, vol.269, pp.249-263, 2004.
DOI : 10.3354/meps269249

S. Saitoh, S. Kosaka, and J. Iisaka, Satellite infrared observations of Kuroshio warm-core rings and their application to study of Pacific saury migration. Deep Sea Research Part A. Oceanographic Research Papers, pp.1601-1615, 1986.

A. M. Santos, Fisheries oceanography using satellite and airborne remote sensing methods: a review, Fisheries Research, vol.49, issue.1, pp.1-20, 2000.
DOI : 10.1016/S0165-7836(00)00201-0

S. Sathyendranath, A. Longhurst, C. M. Caverhill, and T. Platt, Regionally and seasonally differentiated primary production in the North Atlantic. Deep Sea Research Part I: Oceanographic Research Papers, pp.1773-1802, 1995.

K. Sherman, J. O-'reilly, I. Belkin, and C. Melrose, The application of satellite remote sensing for assessing productivity in relation to fisheries yields of the world's large marine ecosystems, ICES Journal of Marine Science, vol.68, issue.4, pp.0-000, 2010.
DOI : 10.1093/icesjms/fsq177

J. J. Simpson, Remote sensing and geographical information systems: Their past, present and future use in global marine fisheries, Fisheries Oceanography, vol.95, issue.2, pp.238-280, 1992.
DOI : 10.1080/01431169108955285

J. M. Stretta, Forecasting models for tuna fishery with aerospatial remote sensing, International Journal of Remote Sensing, vol.180, issue.4, pp.771-779, 1991.
DOI : 10.4319/lo.1976.21.5.0731

A. Takano, H. Yamazaki, T. Nagai, and O. Honda, A Method to Estimate Three-Dimensional Thermal Structure from Satellite Altimetry Data, Journal of Atmospheric and Oceanic Technology, vol.26, issue.12, pp.2655-2664, 2009.
DOI : 10.1175/2009JTECHO669.1

A. Tejera, L. Garcia-weil, K. J. Heywood, and M. Cantón-garbín, Observations of oceanic mesoscale features and variability in the Canary Islands area from ERS-1 altimeter data, satellite infrared imagery and hydrographic measurements, International Journal of Remote Sensing, vol.23, issue.22, pp.4897-4916, 2002.
DOI : 10.1080/01431160110034681

P. Testor and J. Gascard, Large scale flow separation and mesoscale eddy formation in the Algerian Basin, Progress in Oceanography, vol.66, issue.2-4, pp.211-230, 2005.
DOI : 10.1016/j.pocean.2004.07.018

URL : https://hal.archives-ouvertes.fr/hal-00122308

E. Tew-kai and F. Marsac, Influence of mesoscale eddies on spatial structuring of top predators??? communities in the Mozambique Channel, Progress in Oceanography, vol.86, issue.1-2, pp.214-223, 2010.
DOI : 10.1016/j.pocean.2010.04.010

E. Tew-kai, V. Rossi, J. Sudre, H. Weimerskirch, E. Hernandez-garcia et al., Top marine predators track Lagrangian coherent structures, Proceedings of the National Academy of Sciences of the United States of America, pp.8245-8250, 2009.
DOI : 10.1073/pnas.0811034106

URL : https://hal.archives-ouvertes.fr/hal-00399509

G. H. Tomczak, Environmental analyses in marine fisheries research-fisheries environmental services. FAO Fisheries Technical Paper 170, 1977.

Y. Tremblay, P. W. Robinson, C. , and D. P. , A Parsimonious Approach to Modeling Animal Movement Data, PLoS ONE, vol.89, issue.3, p.4711, 2009.
DOI : 10.1371/journal.pone.0004711.t001

W. Turner, S. Spector, N. Gardiner, M. Fladeland, E. Sterling et al., Remote sensing for biodiversity science and conservation, Trends in Ecology & Evolution, vol.18, issue.6, pp.306-314, 2003.
DOI : 10.1016/S0169-5347(03)00070-3

V. D. Valavanis, S. Georgakarakos, D. Koutsoubas, C. Arvanitidis, and J. Haralabous, Development of a marine information system for cephalopod fisheries in eastern Mediterranean, Bulletin of Marine Science, vol.71, pp.867-882, 2002.

D. M. Ware and R. E. Thomson, Bottom-Up Ecosystem Trophic Dynamics Determine Fish Production in the Northeast Pacific, Science, vol.308, issue.5726, pp.1280-1284, 2005.
DOI : 10.1126/science.1109049

G. M. Watters, R. J. Olson, R. C. Francis, P. C. Fiedler, J. J. Polovina et al., Physical forcing and the dynamics of the pelagic ecosystem in the eastern tropical Pacific: simulations with ENSO-scale and global-warming climate drivers, Canadian Journal of Fisheries and Aquatic Sciences, vol.60, issue.9, pp.1161-1175, 2003.
DOI : 10.1139/f03-100

J. Weiss, The dynamics of enstrophy transfer in two-dimensional hydrodynamics, Physica D: Nonlinear Phenomena, vol.48, issue.2-3, pp.273-294, 1991.
DOI : 10.1016/0167-2789(91)90088-Q

R. W. Wilson, F. J. Millero, J. R. Taylor, P. J. Walsh, V. Christensen et al., Contribution of Fish to the Marine Inorganic Carbon Cycle, Science, vol.323, issue.5912, pp.359-362, 2009.
DOI : 10.1126/science.1157972

B. Worm, R. Hilborn, J. K. Baum, T. A. Branch, J. S. Collie et al., Rebuilding Global Fisheries, Science, vol.325, issue.5940, pp.578-585, 2009.
DOI : 10.1126/science.1173146

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.4642

I. Yamanaka, The fisheries forecasting system in Japan for coastal pelagic fish. FAO Fisheries Technical Paper 301, 1988.

J. Yang, C. Gu, L. Li, J. Li, C. Gao et al., Satellite remote sensing prediction of Japanese pilchard fishing ground in the Huanghai Sea and the East China Sea, Science in China Series B. Chemistry, Life Sciences & Earth Sciences, vol.38, pp.336-344, 1995.

C. S. Yentsch and J. C. Garside, Patterns of phytoplankton abundance and biogeography, Pelagic biogeography, pp.153-163, 1986.

J. W. Young, R. Bradford, T. D. Lamb, L. A. Clementson, R. Kloser et al., Yellowfin tuna (Thunnus albacares) aggregations along the shelf break off south-eastern Australia: links between inshore and offshore processes, Marine and Freshwater Research, pp.463-474, 2001.

M. Zainuddin, K. Saitoh, and S. Saitoh, Albacore (Thunnus alalunga) fishing ground in relation to oceanographic conditions in the western North Pacific Ocean using remotely sensed satellite data. Fisheries Oceanography, pp.61-73, 1999.

. Clim and . Sst-=-sea-surface-temperature, AMI = active microwave instrument; AMSR-E = advanced microwave scanning radiometer for the Earth Observing System; AVHRR = advanced very high rate radiometer; AVISO = archiving, validation, and interpretation of satellite oceanographic data; CERSAT = Centre ERS d'Archivage et de Traitement; CLS = collecte localisation satellites; DMSP = Defense Meteorological Satellite Program; EOS = Earth Observing System; ENVISAT = ENVIronmental SATellite; ERS = European remote sensing; ESA = European Space Agency; IFREMER = Institut Français de REcherche pour l'exploitation de la MER; GOES = geostationary operational environmental satellite; HDF = hierarchical data format; MODIS = MODerate resolution Imaging Spectrometer; MSG = Meteosat second generation; NASA = National Aeronautics and Space Administration; NetCDF = network common data form; NOAA = National Oceanic and Atmospheric Administration; OBPG = Ocean Biology Processing Group; OSI-SAF = Ocean and Sea Ice Satellite Application Facility; PAR = photosynthetically active radiation; PO-DAAC = Physical Oceanography Distributed Active Archive Centre; QuickScat = quick scattermetre; REMSS = remote sensing system; SeaWiFs = Sea-viewing Wide Field-of-view Sensor; SEVIRI = spinning enhanced visible and infrared imager; SSM/I = special sensor microwave/imager