103
Jaemyeong, K., Yunsoo, C., Hasu, Y., Wonjong, L., 2019b. Optimal Space Interpolation Method for
Continuous Marine Vertical Datum Based on WGS-84 Ellipsoid. Sens. Mater. 31, 3917.
https://doi.org/10.18494/SAM.2019.2607
Jeannée, N., 2016. Contributions pratiques d’une géostatistique raisonnée en environnement : méthodes et
application à la cartographie nationale de la pollution par l’ozone en France 7.
Jean-paul, B., Audineau, 2022. Production d’Algues unicellulaires.
Jensen, J.R., 2016. J (2016). Remote Sensing of the Environment: An Earth Resource Perspective.
Jonsson, B., Jonsson, N., 2014. Early environment influences later performance in fishes. J. Fish Biol. 85,
151–188.
Kacemi, M., 2013. Protection et valorisation du littoral en Algérie : législation et instruments : Le cas des
communes littorales d’Oran. Études Caribéennes. https://doi.org/10.4000/etudescaribeennes.5959
Klawe, W.L., 1977. What is a tuna? Mar. Fish. Rev.
Korsmeyer, K.E., Dewar, H., 2001. Tuna metabolism and energetics, in: Fish Physiology, Tuna: Physiology,
Ecology, and Evolution. Academic Press, New York, pp. 35–78. https://doi.org/10.1016/S15465098(01)19003-5
Kusuma, D., Murdimanto, A., Sukresno, B., Jatisworo, D., Hanintyo, R., 2018a. Comparison of interpolation
methods for sea surface temperature data D. JFMR-J. Fish. Mar. Res. 2.
https://doi.org/10.21776/ub.jfmr.2018.002.02.7
Kusuma, D., Murdimanto, A., Sukresno, B., Jatisworo, D., Hanintyo, R., 2018b. Comparison of interpolation
methods for sea surface temperature data D. JFMR-J. Fish. Mar. Res. 2.
https://doi.org/10.21776/ub.jfmr.2018.002.02.7
Labidi, N., Nouar, A., 2013a. EVALUATION DU STOCK DE THON ROUGE (THUNNUS THYNNUS) EN ALGERIE.
Collect Vol Sci Pap ICCAT 69, 621–630.
Labidi, N., Nouar, A., 2013b. Quelques indices de la biologie du thon rouge (Thunnus thynnus) en Algerie.
Collect Vol Sci Pap ICCAT 69, 603–620.
LALAMI Y., 1979. Etude biologique et halieutique du Rouget de vase (Mullus barbatus L.) des côtes
algériennes. Univ. Sc Tech. Languedoc, Montpellier.
Lamia, A., Bachari, N.E.I., 2021. SPATIO-TEMPORAL VARIATION OF SEA SURFACE TEMPERATURE (SST) AND
MARINE CHLOROPHYLL CONCENTRATIONS ALONG THE ALGERIAN COAST (SE ALBORAN SUB-BASIN
AND ALGERIAN SUB-BASIN) XXVIII, 184–193.
Laurs, R.M., 1989. Application de la télédétection satellitaire au germon du Pacifique Nord, Thunnus
alalunga (Bonnaterre). FAO Doc. Tech. Sur Peches FAO 302, 87–97.
Le Borgne, R., Barde, J., Gaspar, P., 2018. Advances in Fisheries Remote Sensing and Their Relevance for
Fisheries Management.
Le Cren, E.D., 1951. The Length-Weight Relationship and Seasonal Cycle in Gonad Weight and Condition in
the Perch (Perca fluviatilis). J. Anim. Ecol. 20, 201–219. https://doi.org/10.2307/1540
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Caractéristiques chimiques 11.
Lefèvre, D., Bentley, T., Lafont, M., Coppola, L., Mousseau, L., Laffay, É., 2012b. ÉTAT PHYSIQUE ET
CHIMIQUE Caractéristiques chimiques 11.
Lehodey, P., Bertignac, M., Hampton, J., Lewis, A., Picaut, J., 1997. El Niño Southern Oscillation and tuna in
the western Pacific. Nature 389, 715–718.
Lévy, M., Jahn, O., Dutkiewicz, S., Follows, M.J., 2014. Phytoplankton diversity and community structure
affected by oceanic dispersal and mesoscale turbulence. Limnol. Oceanogr. Fluids Environ. 4, 67–
84. https://doi.org/10.1215/21573689-2768549
Lévy, M., Mémery, L., Madec, G., 2000. Combined effects of mesoscale processes and atmospheric highfrequency variability on the spring bloom in the MEDOC area. Deep Sea Res. Part Oceanogr. Res.
Pap. 47, 27–53. https://doi.org/10.1016/S0967-0637(99)00051-5
Linnaeus, C., 1758. Caroli Linnæi ó. Systema naturæ per regna tria naturæ, secundum classses, ordines,
genera, species, cum characteribus, differentiis, synonymis, locis.
Lorenzen, K., 2016. Toward a new paradigm for growth modeling in fisheries stock assessments: Embracing
plasticity and its consequences. Fish. Res., Growth: theory, estimation, and application in fishery
stock assessment models 180, 4–22. https://doi.org/10.1016/j.fishres.2016.01.006
Jaemyeong, K., Yunsoo, C., Hasu, Y., Wonjong, L., 2019b. Optimal Space Interpolation Method for
Continuous Marine Vertical Datum Based on WGS-84 Ellipsoid. Sens. Mater. 31, 3917.
https://doi.org/10.18494/SAM.2019.2607
Jeannée, N., 2016. Contributions pratiques d’une géostatistique raisonnée en environnement : méthodes et
application à la cartographie nationale de la pollution par l’ozone en France 7.
Jean-paul, B., Audineau, 2022. Production d’Algues unicellulaires.
Jensen, J.R., 2016. J (2016). Remote Sensing of the Environment: An Earth Resource Perspective.
Jonsson, B., Jonsson, N., 2014. Early environment influences later performance in fishes. J. Fish Biol. 85,
151–188.
Kacemi, M., 2013. Protection et valorisation du littoral en Algérie : législation et instruments : Le cas des
communes littorales d’Oran. Études Caribéennes. https://doi.org/10.4000/etudescaribeennes.5959
Klawe, W.L., 1977. What is a tuna? Mar. Fish. Rev.
Korsmeyer, K.E., Dewar, H., 2001. Tuna metabolism and energetics, in: Fish Physiology, Tuna: Physiology,
Ecology, and Evolution. Academic Press, New York, pp. 35–78. https://doi.org/10.1016/S15465098(01)19003-5
Kusuma, D., Murdimanto, A., Sukresno, B., Jatisworo, D., Hanintyo, R., 2018a. Comparison of interpolation
methods for sea surface temperature data D. JFMR-J. Fish. Mar. Res. 2.
https://doi.org/10.21776/ub.jfmr.2018.002.02.7
Kusuma, D., Murdimanto, A., Sukresno, B., Jatisworo, D., Hanintyo, R., 2018b. Comparison of interpolation
methods for sea surface temperature data D. JFMR-J. Fish. Mar. Res. 2.
https://doi.org/10.21776/ub.jfmr.2018.002.02.7
Labidi, N., Nouar, A., 2013a. EVALUATION DU STOCK DE THON ROUGE (THUNNUS THYNNUS) EN ALGERIE.
Collect Vol Sci Pap ICCAT 69, 621–630.
Labidi, N., Nouar, A., 2013b. Quelques indices de la biologie du thon rouge (Thunnus thynnus) en Algerie.
Collect Vol Sci Pap ICCAT 69, 603–620.
LALAMI Y., 1979. Etude biologique et halieutique du Rouget de vase (Mullus barbatus L.) des côtes
algériennes. Univ. Sc Tech. Languedoc, Montpellier.
Lamia, A., Bachari, N.E.I., 2021. SPATIO-TEMPORAL VARIATION OF SEA SURFACE TEMPERATURE (SST) AND
MARINE CHLOROPHYLL CONCENTRATIONS ALONG THE ALGERIAN COAST (SE ALBORAN SUB-BASIN
AND ALGERIAN SUB-BASIN) XXVIII, 184–193.
Laurs, R.M., 1989. Application de la télédétection satellitaire au germon du Pacifique Nord, Thunnus
alalunga (Bonnaterre). FAO Doc. Tech. Sur Peches FAO 302, 87–97.
Le Borgne, R., Barde, J., Gaspar, P., 2018. Advances in Fisheries Remote Sensing and Their Relevance for
Fisheries Management.
Le Cren, E.D., 1951. The Length-Weight Relationship and Seasonal Cycle in Gonad Weight and Condition in
the Perch (Perca fluviatilis). J. Anim. Ecol. 20, 201–219. https://doi.org/10.2307/1540
Lefèvre, D., Bentley, T., Lafont, M., Coppola, L., Mousseau, L., 2012a. ÉTAT PHYSIQUE ET CHIMIQUE
Caractéristiques chimiques 11.
Lefèvre, D., Bentley, T., Lafont, M., Coppola, L., Mousseau, L., Laffay, É., 2012b. ÉTAT PHYSIQUE ET
CHIMIQUE Caractéristiques chimiques 11.
Lehodey, P., Bertignac, M., Hampton, J., Lewis, A., Picaut, J., 1997. El Niño Southern Oscillation and tuna in
the western Pacific. Nature 389, 715–718.
Lévy, M., Jahn, O., Dutkiewicz, S., Follows, M.J., 2014. Phytoplankton diversity and community structure
affected by oceanic dispersal and mesoscale turbulence. Limnol. Oceanogr. Fluids Environ. 4, 67–
84. https://doi.org/10.1215/21573689-2768549
Lévy, M., Mémery, L., Madec, G., 2000. Combined effects of mesoscale processes and atmospheric highfrequency variability on the spring bloom in the MEDOC area. Deep Sea Res. Part Oceanogr. Res.
Pap. 47, 27–53. https://doi.org/10.1016/S0967-0637(99)00051-5
Linnaeus, C., 1758. Caroli Linnæi ó. Systema naturæ per regna tria naturæ, secundum classses, ordines,
genera, species, cum characteribus, differentiis, synonymis, locis.
Lorenzen, K., 2016. Toward a new paradigm for growth modeling in fisheries stock assessments: Embracing
plasticity and its consequences. Fish. Res., Growth: theory, estimation, and application in fishery
stock assessment models 180, 4–22. https://doi.org/10.1016/j.fishres.2016.01.006