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1Conference
المؤلفون: Ballesteros, Marta, Gamaza, María Ángeles, Santiago, Jose L., Cerviño, Santiago, Cousido-Rocha, Marta, Jiménez Gaseni, Andrea, Nachón, D.J., Paz-Cuña, Anxo, Pennino, Maria Grazia, Ramos, Fernando, Zúñiga Basualto, María José, Rincón-Hidalgo, Margarita
Relation: Sí; http://hdl.handle.net/10261/348808
الاتاحة: http://hdl.handle.net/10261/348808
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2Report
المصدر: J R Stat Soc Series C, 1-25 (2021)
مصطلحات موضوعية: Statistics - Methodology, Statistics - Computation, G.3
URL الوصول: http://arxiv.org/abs/2006.01882
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3Academic Journal
المصدر: Scientia Marina; Vol. 88 No. 1 (2024); e083 ; Scientia Marina; Vol. 88 Núm. 1 (2024); e083 ; 1886-8134 ; 0214-8358 ; 10.3989/scimar.2024.88n1
مصطلحات موضوعية: KBPMs, stock assessment models, environmental effects, biological reference points, multispecies, surplus production evolution, KBPM, modelos de evaluación de stocks, efectos medioambientales, puntos de referencia biológicos, multiespecies, evolución de la producción excedentaria
وصف الملف: text/html; application/pdf; text/xml
Relation: https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/5524/3008; https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/5524/3009; https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/5524/3010; https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/5524/3011; Abad E., Pennino M.G., Valeiras J., et al. 2020. Integrating spatial management measures into fisheries: The Lepidorhombus spp. case study. Mar. Policy 116: 103739. https://doi.org/10.1016/j.marpol.2019.103739; Beverton R.J.H., Holt S.J. 1957. On the dynamics of exploited fish populations. Fish. Invest. 19: 1-533.; Bundy A., Bohaboy E.C., Hjermann D.O., et al. 2012. Common patterns, common drivers: comparative analysis of aggregate surplus production across ecosystems. Mar. Ecol. Prog. Ser. 459: 203-218. https://doi.org/10.3354/meps09787; Chrysafi A., Kuparinen A. 2015. Assessing abundance of populations with limited data: Lessons learned from data-poor fisheries stock assessment. Environ. Rev. 24: 25-38. https://doi.org/10.1139/er-2015-0044; Colin M., Scott L., Arni M., Pinto C. 2022. icesSAG: Stock Assessment Graphs Database Web Services. R package version 1.4.0. https://CRAN.R-project.org/package=icesSAG; Cousido-Rocha M., Cerviño S., Alonso-Fernández A., et al. 2022a. Applying length-based assessment methods to fishery resources in the Bay of Biscay and Iberian Coast ecoregion: Stock status and parameter sensitivity. Fish. Res. 248: 106197. https://doi.org/10.1016/j.fishres.2021.106197; Cousido-Rocha M., Pennino M.G., Izquierdo F., et al. 2022b. Surplus Production Models: a practical review of recent approaches. Rev. Fish Biol. Fish. 32: 1085-1102. https://doi.org/10.1007/s11160-022-09731-w; Enfield D., Mestas-Nunez A., Trimble P. 2001. The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental U.S. Geophys. Res. Lett. 28: 2077-2080. https://doi.org/10.1029/2000GL012745; Hidalgo M., Massutí E., Guijarro B., et al. 2009. Population effects and changes in life history traits in relation to phase transitions induced by long-term fishery harvesting: European hake (Merluccius merluccius) off the Balearic Islands. Can. J. Fish. Aquat. Sci. 66: 1355-1370. https://doi.org/10.1139/F09-081; Hilborn R. 2001. Calculation of biomass trend, exploitation rate, and surplus production from survey and catch data. Can. J. Fish. Aquat. Sci. 58: 579-584. https://doi.org/10.1139/f01-018; Hilborn R., Walters C.J. 1992. Quantitative fisheries stock assessment: Choice dynamics, and uncertainty. London: Chapman & Hall. https://doi.org/10.1007/978-1-4615-3598-0 PMid:9908045; Hurrell J.W. 1995. Decadal trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation. Science 269: 676-679. https://doi.org/10.1126/science.269.5224.676 PMid:17758812; Hurrell J.W., Deser C. 2009. North Atlantic climate variability: the role of the North Atlantic Oscillation. J. Mar. Syst. 78: 28-41. https://doi.org/10.1016/j.jmarsys.2008.11.026; Hurtado-Ferro F., Szuwalski C.S., Valero J.L., et al. 2015. Looking in the rear-view mirror: bias and retrospective patterns in integrated, age-structured stock assessment models. ICES Mar. Sci. 72: 99-110. https://doi.org/10.1093/icesjms/fsu198; Fogarty M.J. 2014. The art of ecosystem-based fishery management. Can. J. Fish. Aquat. Sci. 71: 479-490. https://doi.org/10.1139/cjfas-2013-0203; ICES 2015. Report of the fifth Workshop on the development of quantitative assessment methodologies based on life-history traits, exploitation characteristics and other relevant parameters for data-limited stocks (WKLIFE V). ICES Expert Group reports (until 2018). Report.; ICES 2021. Bay of Biscay and the Iberian Coast ecoregion - Ecosystem Overview. ICES Advice: Ecosystem Overviews. Report.; ICES 2023. Benchmark workshop on anglerfish and hake (WKANGHAKE). ICES Scientific Reports. Report.; Jacobson L.D., De Oliveira J.A.A., Barange M., et al. 2001. Surplus production, variability, and climate change in the great sardine and anchovy fisheries. Can. J. Fish. Aquat. Sci. 58: 1891-1903. https://doi.org/10.1139/f01-110; Jacobson L., Cadrin S., Weinberg J. 2002. Tools for Estimating Surplus Production and FMSY in Any Stock Assessment Model. N. Am. J. Fish. Manag. 22: 326-338. https://doi.org/10.1577/1548-8675(2002)0222.0.CO;2; Kerr R.A. 2000. A North Atlantic climate pacemaker for the centuries. Science 288 (5473): 1984-1986. https://doi.org/10.1126/science.288.5473.1984 PMid:17835110; MacCall A. 2002. Use of Known-Biomass Production Models to Determine Productivity of West Coast Groundfish Stocks. N. Am. J. Fish. Manag. 22: 272-279. https://doi.org/10.1577/1548-8675(2002)0222.0.CO;2; Mueter F., Megrey B. 2006. Using multi-species surplus production models to estimate ecosystem-level maximum sustainable yields. Fish. Res. 81: 189-201. https://doi.org/10.1016/j.fishres.2006.07.010; Pedersen M.W., Berg C.W. 2017. A stochastic surplus production model in continuous time. Fish and Fish. 18: 226-243. https://doi.org/10.1111/faf.12174; Pella J. J., Tomlinson P. K. 1969. A generalized stock-production model. Bull I-ATTC 13: 421-58.; Pennino M.G., Cousido-Rocha M., Maia C., et al. 2022. This is what we know: Assessing the stock status of the data-poor common sole on the Iberian coast. Estuar. Coast. Shelf Sci. 107747. https://doi.org/10.1016/j.ecss.2022.107747 https://doi.org/10.1016/j.ecss.2022.107747; Prager M.H. 1992. ASPIC: A Surplus-Production Model Incorporating Covariates. Coll. Vol. Sci. Pap. Int. Comm. Conserv. Atl. Tunas (ICCAT) 28: 218-229.; R Core Team 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/; Schaefer M. B. 1957. A study of the dynamics of the fishery for yellowfin tuna in the Eastern Tropical Pacific Ocean. Bull I-ATTC 2: 247-285.; Sparholt H., Bogstad B., Christensen V., et al. 2021. Estimating Fmsy from an ensemble of data sources to account for density dependence in Northeast Atlantic fish stocks. ICES Mar. Sci. 78: 55-69. https://doi.org/10.1093/icesjms/fsaa175; Walters C.J., Hilborn R., Christensen V. 2008. Surplus production dynamics in declining and recovering fish populations. Can. J. Fish. Aquat. Sci. 65: 2536-2551. https://doi.org/10.1139/F08-170; Winker H., Carvalho F., Kapur M. 2018. JABBA: Just Another Bayesian Biomass Assessment. Fish. Res., 204: 275-288. https://doi.org/10.1016/j.fishres.2018.03.010; https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/5524
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4Academic Journal
المؤلفون: Cousido-Rocha, Marta, Izquierdo, Francisco, Martínez-Minaya, Joaquín, Pennino, Maria Grazia, Mendes, Hugo, Silva, Cristina, Silva, Andreia V., Sainza-Sousa, María del Carmen, Cerviño, Santiago
المساهمون: Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, Axencia Galega de Innovación, Xunta de Galicia, Generalitat Valenciana
مصطلحات موضوعية: Bayesian analysis, European hake, fish maturity, fishery management, unbalanced sampling, Responsible Consumption and Production, Conserve and sustainably use the oceans, seas and marine resources for sustainable development
Relation: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099868-B-I00/ES/MEJORA DEL CONSEJO CIENTIFICO PARA LA GESTION DE RECURSOS PESQUEROS DE INTERES PARA ESPAÑA/; Postprint; https://doi.org/10.1139/cjfas-2023-0219; Sí; Canadian Journal of Fisheries and Aquatic Sciences (online first): (2024); http://hdl.handle.net/10261/351037
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5Academic Journal
المؤلفون: Goethel, Daniel R., Berger, Aaron M., Hoyle, Simon D., Lynch, Patrick D., Barceló, Caren, Deroba, Jonathan, Ducharme‐Barth, Nicholas D., Dunn, Alistair, Fu, Dan, Izquierdo, Francisco, Marsh, Craig, Xu, Haikun, Correa, Giancarlo M., Langseth, Brian J., Maunder, Mark N., McKenzie, Jeremy, Methot, Richard D., Vincent, Matthew T., A'mar, Teresa, Cardinale, Massimiliano, Cousido‐Rocha, Marta, Davies, Nick, Hampton, John, Minte‐Vera, Carolina, Urtizberea, Agurtzane
المصدر: Fish and Fisheries ; volume 25, issue 3, page 471-490 ; ISSN 1467-2960 1467-2979
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6Academic Journal
المؤلفون: Fuster-Alonso, Alba, Conesa, David, Cousido-Rocha, Marta, Izquierdo, Francisco, Paradinas, Iosu, Cerviño, Santiago, Pennino, Maria Grazia
المساهمون: Kotwicki, Stan, IMPRESS, ERDF, Ministry of Science, Innovation and Universities, GAIN, Ministerio de Ciencia e Innovación, Institute of Marine Sciences
المصدر: ICES Journal of Marine Science ; volume 81, issue 5, page 984-995 ; ISSN 1054-3139 1095-9289
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7Academic Journal
المؤلفون: Cousido-Rocha, Marta, de Uña-Álvarez, Jacobo
المساهمون: Ministerio de Ciencia e Innovación (España), Cousido-Rocha, Marta
Relation: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118101GB-I00/ES/NUEVOS AVANCES METODOLOGICOS Y COMPUTATIONALES EN ESTADISTICA NO PARAMETRICA Y SEMIPARAMETRICA/; R Journal; Publisher's version; https://doi.org/10.32614/RJ-2023-063; Sí; The R Journal 15(3) : 79-92 (2023); http://hdl.handle.net/10261/348915; http://dx.doi.org/10.13039/501100004837; 2-s2.0-85184780168; https://api.elsevier.com/content/abstract/scopus_id/85184780168
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8Academic Journal
المؤلفون: Domínguez-Petit, Rosario1 (AUTHOR) rosario.dominguez@ieo.csic.es, Cousido-Rocha, Marta1 (AUTHOR) marta.cousido@ieo.csic.es, Pennino, Maria Grazia2 (AUTHOR) grazia.pennino@ieo.csic.es, Abad, Esther1 (AUTHOR) esther.abad@ieo.csic.es, Riveiro, Isabel1 (AUTHOR) isabel.riveiro@ieo.csic.es, Costas, Gersom1 (AUTHOR) gersom.costas@ieo.csic.es, Cerviño, Santiago1 (AUTHOR) santiago.cervino@ieo.csic.es
المصدر: Hydrobiologia. Feb2025, Vol. 852 Issue 4, p805-821. 17p.
مصطلحات موضوعية: *NORTH Atlantic oscillation, *ATLANTIC multidecadal oscillation, *OCEAN temperature, *GROUNDFISHES, *FISH populations
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9Academic Journal
المؤلفون: Cousido-Rocha, Marta, Carballo, Marta González, Pennino, Maria Grazia, Coll, Marta, Báez, José C.
المصدر: Marine Policy ; volume 148, page 105442 ; ISSN 0308-597X
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10Electronic Resource
المصدر: Scientia Marina (0214-8358) (Editorial CSIC), 2024-03 , Vol. 88 , N. 1 , P. e083 (12p.)
مصطلحات الفهرس: KBPMs, stock assessment models, environmental effects, biological reference points, multispecies, surplus pro duction evolution, text, Article, info:eu-repo/semantics/article
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11Electronic Resource
المؤلفون: Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, Axencia Galega de Innovación, Xunta de Galicia, Generalitat Valenciana, Cousido-Rocha, Marta, Izquierdo, Francisco, Martínez-Minaya, Joaquín, Pennino, Maria Grazia, Mendes, Hugo, Silva, Cristina, Silva, Andreia V., Sainza-Sousa, María del Carmen, Cerviño, Santiago
مصطلحات الفهرس: Bayesian analysis, European hake, fish maturity, fishery management, unbalanced sampling, artículo
URL:
http://hdl.handle.net/10261/351037 https://doi.org/10.1139/cjfas-2023-0219
Postprinthttps://doi.org/10.1139/cjfas-2023-0219
Sí
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099868-B-I00/ES/MEJORA DEL CONSEJO CIENTIFICO PARA LA GESTION DE RECURSOS PESQUEROS DE INTERES PARA ESPAÑA -
12Academic Journal
المؤلفون: Domínguez-Petit, Rosario, Navarro, María Rosario, Cousido-Rocha, Marta, Tornero, Jorge, Ramos, Fernando, Jurado-Ruzafa, Alba, Nunes, Cristina, Hernández, Carmen, Silva, Andreia V., Landa, Jorge
المصدر: Scientia Marina; Vol. 86 No. 4 (2022); e048 ; Scientia Marina; Vol. 86 Núm. 4 (2022); e048 ; 1886-8134 ; 0214-8358 ; 10.3989/scimar.2022.86n4
مصطلحات موضوعية: growth, maturity, condition, reproductive phenology, climate change, crecimiento, madurez, condición, fenología reproductiva, cambio climático
وصف الملف: text/html; application/pdf; text/xml
Relation: https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1937/2910; https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1937/2911; https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1937/2912; Alabia I.D., García Molinos J., Saitoh S.I., et al. 2018. Distribution shifts of marine taxa in the Pacific Arctic under contemporary climate changes. Divers Distrib. 24: 1583-1597.; Allaya H., Hattour A., Hajjej G., Trabelsi M. 2013. Biologic characteristics of Scomber japonicus (Houttuyn, 1782) in Tunisian waters (Central Mediterranean Sea). Afr. J. Biotechnol. 12: 3040-3048.; Allaya H., Zrelli S, Hajjej G. 2016. Identification of Atlantic Chub mackerel Scomber colias population through the analysis of body shape in Tunisian waters. Cah. Biol. Mar. 57: 195-207; Alves M.F. 2016. Survey of parasites of Atlantic Chub Mackerel (Scomber colias) with economic and public health impact: MSc thesis. 1-37.; Astthorsson O.S., Valdimarsson H., Gudmundsdottir A., Óskarsson G.J. 2012. Climate-related variations in the occurrence and distribution of mackerel (Scomber scombrus) in Icelandic waters. ICES J. Mar. Sci. 69: 1289-1297.; Bachiller E., Irigoien X. 2015. Trophodynamics and diet overlap of small pelagic fish species in the bay of biscay. Mar. Ecol. Prog. Ser. 534: 179-198.; Barbee N.C., Hale R., Morrongiello J., et al. 2011. Large-scale variation in life history traits of the widespread diadromous fish, Galaxias maculatus, reflects geographic differences in local environmental conditions. Mar. Freshw. Res. 62: 790-800.; Barboza L.G.A., Lopes C., Oliveira P., et al. 2020. Microplastics in wild fish from North East Atlantic Ocean and its potential for causing neurotoxic effects, lipid oxidative damage, and human health risks associated with ingestion exposure. Sci. Total. Environ. 717: 134625.; Basilone G., Mangano S., Pulizzi M., et al. 2017. European anchovy (Engraulis encrasicolus) age structure and growth rate in two contrasted areas of the Mediterranean Sea: the paradox of faster growth in oligotrophic seas. Mediterr. Mar. Sci. 18: 504-516.; Belk M.C., Houston D.D. 2002. Bergmann’s Rule in Ectotherms: A Test Using Freshwater Fishes. Am. Nat. 160: 803-808; Benjamini Y., Hochberg Y. 1995. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. J. R. Stat. Soc. Ser. B. 57: 289-300.; Berge J., Heggland K., Lønne O.J., et al. 2015. First Records of Atlantic Mackerel (Scomber scombrus) from the Svalbard Archipelago, Norway, with Possible Explanations for the Extensions of Its Distribution, Arctic 68: 54-61.; Bergmann C. 1847. Über die Verhältnisse der Wärme ökonomie der Thiere zu ihrer Grösse. Göttinger Stud. 3: 595-708.; Blanck A., Lamouroux N. 2007. Large-scale intraspecific variation in life-history traits of European freshwater fish. J. Biogeogr. 34: 862-875.; Bonanno A., Barra M., Basilone G., et al. 2016. Environmental processes driving anchovy and sardine distribution in a highly variable environment: the role of the coastal structure and riverine input. Fish. Oceanogr. 25: 471-490.; Bouzzammit N., El Ouizgani H. 2019. Morphometric and meristic variation in the Atlantic chub mackerel Scomber colias Gmelin, 1789 from the Moroccan coast. Indian J. Fish. 66: 8-15.; Brosset P., Fromentin J.M., Van Beveren E., et al. 2017. Spatio-temporal patterns and environmental controls of small pelagic fish body condition from contrasted Mediterranean areas, Prog. Oceanogr. 151: 149-162.; Carvalho N., Perrotta R.G., Isidro E. 2002. Age, growth and maturity in the chub mackerel (Scomber japonicus Houttuyn, 1782) from the Azores. Life Mar. Sci. 19A: 93-99.; Castro J.J., Santana A.T. 2000. Synopsis of Biological Data on The Chub Marckerel (Scomber japonicus Houttuyn, 1782). FAO Fish Synopsis. 39: 1-77.; Castro L.R., Llanos A., Blanco J., et al. 2002. Influence of Latitude Variations in Spawning Habitat Characteristics on the Early Life History Traits of the anchoveta, Engraulis ringens, off northern and central Chile. In: Van der Lingen C.D., Roy C., Fréon P., Barange M., Castro L., Gutierrez M., Nykjaer L. and Shillington F. (eds). Report of a GLOBEC-SPACC/IDYLE/ENVIFISH workshop on spatial Approaches to the Dynamics of Coastal Pelagic Resources and their Environment in Upwelling Areas. GLOBEC Report 16: 42-45.; Castro L., Claramunt G., Krautz M., et al. 2009. Egg trait variation in anchoveta Engraulis ringens: a maternal response to changing environmental conditions in contrasting spawning habitats. Mar. Ecol. Prog. Ser. 381: 237-248.; Catanese G., Manchado M., Infante C. 2010. Evolutionary relatedness of mackerels of the genus Scomber based on complete mitochondrial genomes: Strong support to the recognition of Atlantic Scomber colias and Pacific Scomber japonicus as distinct species. Gene. 452: 35-43.; Cengiz Ö. 2012. Age, growth, mortality and reproduction of the chub mackerel (Scomber japonicus Houttuyn, 1782) from Saros Bay (Northern Aegean Sea, Turkey). Turkish J. Fish. Aquat. Sci. 12: 799-809.; Cheng J., Gao T., Miao Z., Yanagimoto T. 2011. Molecular phylogeny and evolution of Scomber (Teleostei: Scombridae) based on mitochondrial and nuclear DNA sequences. Chinese J. Oceanol. Limnol. 29: 297-310.; Cheung W.W.L., Lam V.W.Y., Sarmiento J.L., et al. 2009. Projecting global marine biodiversity impacts under climate change scenarios. Fish. Fish. 10: 235-251.; Cheung W.W.L., Meeuwig J.J., Feng M., et al. 2012. Climate-change induced tropicalisation of marine communities in Western Australia. Mar. Freshw. Res. 63: 415-427.; Cheung W.W.L., Brodeur R.D., Okey T.A., Pauly D. 2015. Projecting future changes in distributions of pelagic fish species of Northeast Pacific shelf seas. Prog. Oceanogr. 130: 19-31.; Cikeš Keč V., Zorica B. 2012. The reproductive traits of Scomber japonicus (Houttuyn, 1782) in the Eastern Adriatic Sea. J. Appl. Ichthyol. 28: 15-21.; Collette B.B., Nauen C.E. 1983. FAO Species Catalogue Vol. 2 Scombrids of the world an annotated and illustrated catalogue of Tunas, Mackerels, Bonitos and related species know to date; Collette B., Amorim A.F., Boustany A., et al. 2011. Scomber colias. The IUCN Red List of Threatened Species 2011: e.T170357A6767497.; Correia A.T., Moura A., Triay-Portella R., et al. 2021. Population structure of the chub mackerel (Scomber colias) in the NE Atlantic inferred from otolith elemental and isotopic signatures. Fish. Res. 234: 105785.; Costa G., Cavallero S., D’Amelio S., et al. 2011. Helminth parasites of the Atlantic chub mackerel, Scomber colias Gmelin, 1789 from Canary Islands, Central North Atlantic, with comments on their relations with other Atlantic regions. Acta Parasitol. 56: 98-104.; Costoya X., de Castro M., Gómez-Gesteira M., Santos F. 2015. Changes in sea surface temperature seasonality in the Bay of Biscay over the last decades (1982-2014). J. Mar. Syst. 150: 91-101.; FAO. 2020a. Report of the FAO Working Group on the Assessment of Small Pelagic Fish off Northwest Africa. Casablanca, Morocco, 8-13 July 2019. Casablanca, Morocco.; FAO. 2020b. Fisheries and aquaculture software. FishStatJ - software for fishery statistical time series. In: FAO Fish. Aquac. Dep. https://www.fao.org/fishery/statistics/software/fishstatj/en; Ferreri R., McBride R.S., Barra M., et al. 2019. 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Ecol. Prog. Ser. 413: 125-136.; Gertseva V., Matson S.E., Cope J. 2017. Spatial growth variability in marine fish: example from Northeast Pacific groundfish. ICES J. Mar. Sci. 74: 1602-1613.; Giménez J., Marçalo A., Ramírez F., et al. 2017. Diet of bottlenose dolphins (Tursiops truncatus) from the Gulf of Cadiz: Insights from stomach content and stable isotope analyses. PLoS One 12: e0184673.; Gonçalves J.M.S., Blanc N., Brandão C., et al. 2016. Valorização de recursos pesqueiros: Cavala Algarvia. Relatório final. Universidade do Algarve, CCMAR, Faro. 44pp.+Anexos.; Green B.S. 2008. Chapter 1: Maternal Effects in Fish Populations. Adv. Mar. Biol. 54: 1-105.; Hattab T., Gucu A., Ventero A., et al. 2021. Temperature strongly correlates with regional patterns of body size variation in Mediterranean small pelagic fish species. Mediterr. Mar. Sci. 22(4): 800-811.; Holden M.J., Raitt D.F.S. 1974. Manual of fisheries science. Part 2: Methods of resource investigation and their application. 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Phylogenetic differentiation between Atlantic Scomber colias and Pacific Scomber japonicus based on nuclear DNA sequences. Genetica. 130: 1-8.; Jansen T., Gislason H., Goldstien S.J. 2013. Population Structure of Atlantic Mackerel (Scomber scombrus). PloS One. 8(5): e64744.; Jobling M. 1995. The influence of environmental temperature on growth and conversion efficiency in fish. 1995: 1-26.; Jurado-Ruzafa A., González-Lorenzo G., Jiménez S., et al. 2019. Seasonal evolution of small pelagic fish landings index in relation to oceanographic variables in the Canary Islands (Spain). Deep Res. Part II Top Stud. Oceanogr. 159: 84-91.; Jurado-Ruzafa A., Sotillo B., Hernández E., et al. 2021. The Atlantic chub mackerel (Scomber colias) in the Canary Islands (Spain), Fishery and Biological data Update. Second Workshop on Atlantic chub mackerel (Scomber colias) Second Workshop on Atlantic Chub Mackerel (Scomber colias) (WKCOLIAS2). ICES Working Documents WD3. ICES Sci. Rep. 2(20): 148-164.; Kooijman S.A.L.M. 2009. Dynamic energy budget theory for metabolic organisation, third edition. Cambridge University Press.; Kruskal W.H., Wallis W.A. 1952. Use of Ranks in One-Criterion Variance Analysis. J. Am. Stat. Assoc. 47: 583-621; Lambert T.C. 1987. Duration and intensity of spawning in herring Clupea harengus as related to the age structure of the mature population. Mar. Ecol. Prog. Ser. 39: 209-220.; Lorenzo J.M., Pajuelo J.G. 1996. Growth and reproductive biology of chub mackerel Scomber japonicus off the Canary Islands. Southafrican J. Mar. Sci. 17: 275-280.; Lowerre-Barbieri S., De Celles G., Pepin P., et al. 2017. Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish. Fish. Fish. 18: 285-312.; Lucio P. 1997. Biological aspects of Spanish chub mackerel (Scomber japonicus, Houttuyn, 1782) in the Bay of Biscay from the Basque Country catches. 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Aquat. 771-814.; Muniz A.A., Moura A., Triay-Portella R., et al. 2020. Population structure of the chub mackerel (Scomber colias) in the North-east Atlantic inferred from otolith shape and body morphometrics. Mar. Freshw. Res. 72: 341-352.; Murawski S.A. 1993. Climate Change and Marine Fish Distributions: Forecasting from Historical Analogy. Trans. Am. Fish. Soc. 122: 647-658.; Navarro M.R., Domínguez-Petit R., Landa J., et al. 2021a. Preliminary observations on sexual maturity of chub mackerel (Scomber colias) in the Northern Iberian Atlantic waters (ICES Divisions 27.8.c and 27.9.aN). Second Workshop on Atlantic chub mackerel (Scomber colias) (WKCOLIAS2). 11 pp.; Navarro M.R., Landa J., Villamor B., et al. 2021b. First approach to the growth and age corroboration of Northeast Atlantic chub mackerel (Scomber colias) in Northern Iberian waters. Estuar. Coast. Shelf. Sci. 107433.; Nunes C., Silva A.V., Feijó D., et al. 2019. Atlantic chub mackerel (Scomber colias) growth and reproduction off the Portuguese coast in relation to the population dynamics. Front. Mar. Sci. Conference Abstract: XX Iberian Symposium on Marine Biology Studies (SIEBM XX).; Olafsdottir A.H., Utne K.R., Jacobsen J.A., et al. 2019. Geographical expansion of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic Seas from 2007 to 2016 was primarily driven by stock size and constrained by low temperatures. Deep Sea Res. Part II Top Stud. Oceanogr. 159: 152-168.; Ottersen G., Kim S., Huse G., et al. 2010. Major pathways by which climate may force marine fish populations. J. Mar. Syst. 79: 343-360.; Perrotta R.G., Carvalho N., Isidro E. 2005. Comparative study on growth of Chub Mackerel (Scomber japonicus Houttuyn, 1782) from three different regions: NW Mediterranean, NE and SW Atlantic*. Rev. Investig. y Desarr. Pesq. 17: 67-79; Perry A.L., Low P.J., Ellis J.R., Reynolds J.D. 2005. Climate Change and Distribution Shifts in Marine Fishes. Science 308: 1912-1915.; Pörtner H.O., Storch D., Heilmayer O. 2005. Constraints and trade-offs in climate-dependent adaptation: energy budgets and growth in a latitudinal cline. Sci. Mar. 69: 271-285.; Punzón A., Serrano A., Sánchez F., et al. 2016. Response of a temperate demersal fish community to global warming. J. Mar. Syst. 161: 1-10.; Reid P.C., Valdés L. 2011. ICES status report on climate change in the North Atlantic. ICES Cooperative Research Report No. 310. 262. Copenhagen; Rijnsdorp A.D., Peck M.A., Engelhard G.H., et al. 2009. Resolving the effect of climate change on fish populations. ICES J. Mar. Sci. 66: 1570-1583.; Rizkalla S. 1998. Some biological characters of chub mackerel (Scomber japonicus, Houttuyan, 1782) from the Mediterranean waters of Egypt. Egypt J. Aquat. Biol. Fish. 2: 101-116.; Rogers L.A., Dougherty A.B. 2019. Effects of climate and demography on reproductive phenology of a harvested marine fish population. Glob. Chang. Biol. 25: 708-720.; Roldán M.I., Perrotta R.G., Cortey M., Pla C. 2000. Molecular and morphologic approaches to discrimination of variability patterns in chub mackerel, Scomber japonicus. J. Exp. Mar. Bio. Ecol. 253: 63-74.; Rypel A.L. 2014. The cold-water connection: Bergmann’s rule in North American freshwater fishes. Am. Nat. 183: 147-156.; Saborido-Rey F., Kjesbu O.S. 2005. Growth and maturation dynamics. 26 pp.; Santos M.J., Castro R., Cavaleiro F., et al. 2017. Comparison of anisakid infection levels between two species of Atlantic mackerel (Scomber colias and S. scombrus) off the Atlantic Portuguese coast. Sci. Mar. 81: 179-185.; Saunders R.A., Tarling G.A. 2018. Southern ocean mesopelagic fish comply with Bergmann’s Rule. Am. Nat. 191: 343-351.; Scoles D.R., Collette B.B., Graves J.E. 1998. Global phylogeography of mackerels of the genus Scomber. Fish. 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The effect of climate change on the distribution and abundance of marine species in the OSPAR Maritime Area. ICES Coop. Res. Rep., 293. 45 pp.; Team R.C. 2021a. R: A language and environment for statistical computing.; Team Rs. 2021b. RStudio: Integrated Development for R. RStudio.; Techetach M., Hernando-Casal J.A., Saoud Y., Benajiba M.H. 2010. Reproductive biology of chub mackerel Scomber japonicus in Larache area, Moroccan North Atlantic coast. Cybium 34: 159-165.; Techetach M., Ajana R., Saoud Y. 2019. Reproductive parameters of Atlantic chub mackerel Scomber colias in M’diq Bay, Morocco. J. Mar. Biol. Assoc. United Kingdom. 99: 957-962.; Torrejon-Magallanes J. 2020. sizeMat: Estimate Size at Sexual Maturity. https://cran.r-project.org/web/packages/sizeMat/sizeMat.pdf; Torres M.A., Coll M., Heymans J.J., Christensen V., Sobrino I. 2013. Food-web structure of and fishing impacts on the Gulf of Cadiz ecosystem (South-western Spain). Ecol. Modell. 265: 26-44.; Van Beveren E., Bonhommeau S., Fromentin J.M., et al. 2014. Rapid changes in growth, condition, size and age of small pelagic fish in the Mediterranean, Mar. Biol. 161: 1809-1822.; Varela J.L., Rodríguez-Marín E., Medina A. 2013. Estimating diets of pre-spawning Atlantic bluefin tuna from stomach content and stable isotope analyses. J. Sea Res. 76: 187-192.; Vasconcelos J., Afonso-Dias M., Faria G. 2012. Atlantic chub mackerel (Scomber colias) spawning season, size and age at first maturity in Madeira waters. Life Mar. Sci. 29: 43-51; Veiga-Malta T., Szalaj D., Angélico M.M., et al. 2019. First representation of the tropic structure and functioning o the Portuguese continental shelf ecosystem: insights into the role of sardine. Mar. Ecol. Prog. Ser. 617-618: 323-340; Velasco E.M., del Arbol J., Baro J., Sobrino I. 2011. 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Bio-écologie de Trachurus trachurus (Linnaeus, 1758) et de Scomber colias Gmelin, 1789 dans l’écosystème pélagique de la zone atlantique sud marocaine (21oN - 26o30’N). PhD thesis, Univ. Hassan II, Faculté des Sciences Ain Chock, Casablanca. 230 pp.; Wahbi F., Errhif A., Ettahiri O. 2011. Cycle de reproduction et variabilité du régime alimentaire du maquereau Scomber japonicus (Houttuyn, 1782) débarqué au port de Casablanca. In: Garcia S., Tandstad M., Caramelo A.M. (eds) Science and Management of Small Pelagic, Fisheries and Aquaculture proceedings. FAO, pp 127-138; Walsh M., Hopkins P., Witthames P.R., et al. 1990. Estimation of total potential fecundity and atresia in the western mackerel stock in 1989. ICES Document CM. 1990/H: 31. 22 pp.; Whitehead P.J.P., Bauchot M.L., Hureau J.C., et al. 1984. Scombridae. In: Fishes of the North-eastern Atlantic and the Mediterranean. UNESCO, Paris. 981-997. 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13Academic Journal
المؤلفون: Lojo, Davinia, Cousido-Rocha, Marta, Cerviño, Santiago, Dominguez-Petit, Rosario, Sainza, María, Pennino, Maria Grazia
المصدر: Scientia Marina; Vol. 86 No. 4 (2022); e046 ; Scientia Marina; Vol. 86 Núm. 4 (2022); e046 ; 1886-8134 ; 0214-8358 ; 10.3989/scimar.2022.86n4
مصطلحات موضوعية: North Atlantic Oscillation, life history, reproductive traits, relative condition factor, southern European stock, Oscilación del Atlántico Norte, historia de vida, rasgos reproductivos, factor de condición relativa, población del sur de Europa
وصف الملف: text/html; application/pdf; text/xml
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Impact of egg production and stock structure on MSY reference points. Implications for Southern hake management. Fish. Res. 138: 168-178.; Dalgleish H.J., Koons D.N., Adler P.B. 2010. Can life-history traits predict the response of populations to changes in climate variability? J. Ecol. 98: 209-217.; Dominguez-Petit R. 2007. Study of reproductive potential of Merluccius merluccius in the Galician shelf. Doctoral Thesis. University of Vigo, Spain.; Dominguez-Petit R., Korta M., Saborido-Rey F., et al. 2008. Changes in size at maturity of European hake Atlantic populations in relation with stock structure and environmental regimes. J. Mar. Syst. 71: 260-278.; Dominguez-Petit R., García-Fernandez C., Leonarduzzi E., et al. 2022. Parental effects and reproductive potential of fish and marine invertebrates: Cross-generational impact of environmental experiences. In: Domínguez-Petit R. (ed). Impact of Environmental Stress on Reproductive Processes of Aquatic Animals. Fishes 7: 188.; Drinkwater K.F. 2005. The response of Atlantic cod (Gadus morhua) to future climate change. ICES J. Mar. Sci. 62: 1327-1337.; Engelhard G.H., Heino M. 2004. Maturity changes in Norwegian spring spawning herring Clupea harengus: compensatory or evolutionary responses? Mar. Ecol. Prog. Ser. 272: 245-256.; Fox J., Weisberg S. 2019. An R Companion to Applied Regression (Third). SAGE Publications Inc, pp. 608.; Godø O.R., Haug T. 1999. Growth rate and sexual maturity in cod (Gadus morhua) and Atlantic halibut (Hippoglosus hippoglossus). J. Northwest Atl. Fish. Sci. 25: 115-123.; Goikoetxea N., Irigoien X. 2013. Links between the recruitment success of northern European hake (Merluccius merluccius L.) and a regime shift on the NE Atlantic continental shelf. Fish. Oceanogr. 22: 459-476.; Greene C.H., Pershing A.J. 2000. The response of Calanus finmarchicus populations to climate variability in the Northwest Atlantic: basin-scale forcing associated with the North Atlantic Oscillation. ICES J. Mar. Sci. 57: 1536-1544.; Haug T., Tjemsland T. 1986. Changes in size and age distribution and age at sexual maturity in Atlantic Halibut, Hippoglossus hippoglossus, caught in North Norwegian waters. Fish. Res. 4: 145-155.; Hidalgo M., Rouyer T., Bartolino V., et al. 2012. Context-dependent interplays between truncated demographies and climate variation shape the population growth rate of a harvested species. Ecography 35: 637-649.; Hidalgo M., Rouyer T., Molinero J.C., et al. 2014. Contrasting evolutionary demography induced by fishing: The role of adaptive phenotypic plasticity. Ecol. App. 24:1101-1114.; Hixon M.A., Johnson D.W., Sogard S.M. 2014. BOFFFFs: on the importance of conserving old-growth age structure in fishery populations. ICES J. Mar. Sci. 71: 2171-2185.; Hjermann D.Ø., Stenseth N.C., Ottersen G. 2004. Indirect climatic forcing of the Barents Sea capelin: a cohort effect. Mar. Ecol. Prog. Ser. 273: 229-238.; Hobday A.J., Smith A.D.M., Stobutzki I.C., et al. 2011. Ecological risk assessment for the effects of fishing. Fish Res. 108: 372-384.; Hollins J., Thambithurai D., Koeck B., et al. 2018. A physiological perspective on fisheries-induced evolution. Evol. Appl. 11: 561-576.; ICES. 2019. Working Group for the Bay of Biscay and the Iberian Waters Ecoregion (WGBIE). ICES Sci. Rep. 1:31.; ICES. 2021. Working Group for the Bay of Biscay and the Iberian Waters Ecoregion (WGBIE).ICES Sci. Rep. 3:48.; Jørgensen C., Enberg K., Dunlop E.S., et al. 2007. Ecology: Managing Evolving Fish Stocks. Sci. 318: 1247-1248.; Junquera S., Roman E., Paz X., Ramilo G. 1999. Changes in Greenland halibut growth, condition and fecundity in the Northwest Atlantic (Flemish Pass, Flemish Cap and southern Grand Banks). Variations in maturation, growth, condition and spawning stock biomass production in groundfish. J. Northwest Atl. Fish. Sci. 25: 17-28.; Kell L.T., Pilling G.M., O’Brien C.M. 2005. Implications of the climate change for the management of North Sea cod (Gadus morhua). ICES J. Mar. Sci. 62: 1483-149.; Korta M., Domínguez-Petit R., Murua H., Saborido-Rey F. 2010. Regional variability in reproductive traits of European hake Merluccius merluccius L. populations. Fish. Res. 104: 64-72.; Korta M., García, D., Santurtún M., et al. 2015. “European Hake (Merluccius merluccius) in the North-east Atlantic,” in Hakes: biology and Explotation, ed. H. Arancibia (Hoboken: John Wiley & Sons, Ltd), 1-37.; Köster F.W., Möllmann C. Hinrichsen H.H., et al. 2005. Baltic cod Recruitment - the impact of climate variability on key processes. ICES J. Mar. Sci. 62: 1408-1425.; Law R. 2000. Fishing, selection, and phenotypic evolution. ICES J. Mar. Sci. 57: 659-668.; Le Cren E.D. 1951. 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Universitat Politècnica de Catalunya (UPC) (Spain). 207 pp.; Moritz S., Bartz-Beielstein T. 2017. Imputets: Time Series Missing Value Imputation in R. R J. 9: 207-218.; Murua H. 2010. The biology and fisheries of European hake, Merluccius merluccius, in the north-east Atlantic. Adv. Mar. Biol. 58: 97-154.; Nye J.A., Link J.S., Hare J.A., Overholtz W.J. 2009. Changing spatial distribution of fish stocks in relation to climate and population size on the Northeast United States continental shelf. Mar. Ecol. Prog. Ser. 393, 111-129.; Nye J. A., Baker M.R., Bell R., et al. 2014. Ecosystem effects of the Atlantic Multidecadal Oscillation. J. Mar. Syst. 133, 103-116.; Öckinger E., Schweiger O., Crist T.O., et al. 2010 Life-history traits predict species responses to habitat area and isolation: a cross-continental synthesis. Ecol. Lett. 13: 969-979.; Olsen E.M., Heino M., Lilly G.R., et al. 2004. Maturation trends indicative of rapid evolution preceded the collapse of northern cod. 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Fish Oceanogr. 14: 386-399.; Torrejón-Magallanes E.J.2020. sizeMat: Estimate Size at Sexual Maturity. R package version 1.1.2.; Trippel E.A. 1995. Age at maturity as a stress indicator in fisheries. Bioscience. 45:759-771.; Trippel E.A., Kjesbu O.S., Solemdal P. 1997. Effects of adult age and size structure on reproductive output in marine fishes. In Chambers R.C., Trippel E.A. (eds), Early life history and recruitment in fish populations. Chapman and Hall, London, U.K, pp. 31-62.; Wei T., Simko V., Levy M., et al. 2017. Package ‘corrplot’. J. Am. Stat. 56: 316-324.; Wood S.N. 2006. Generalized Additive Models: An Introduction with R. Chapman & Hall/CRC. Series: Chapman & Hall/CRC. Texts in Statistical Science.; Wood S.N. 2011. Mgcv: GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL.; Wood S.N. 2017. Generalized Additive Models: An Introduction with R (2nd edition). Chapman and Hall/CRC, New York, 496 pp.; Zuur A.F., Ieno E.N., Elphick C.S. 2010. A protocol for data exploration to avoid common statistical problems. Methods. Ecol. Evol.1: 3-14.; https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1935
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14Academic Journal
مصطلحات موضوعية: ddc:51
وصف الملف: application/pdf
Relation: https://opus4.kobv.de/opus4-h-da/frontdoor/index/index/docId/399; urn:nbn:de:hebis:ds114-opus4-3992; https://nbn-resolving.org/urn:nbn:de:hebis:ds114-opus4-3992; https://opus4.kobv.de/opus4-h-da/files/399/rssc_71_1_219.pdf
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15Academic Journal
المؤلفون: Pennino, Maria Grazia, Cousido-Rocha, Marta, Maia, Catarina, Rocha, Alberto, Figueiredo, Ivone, Alonso-Fernández, Alexandre, Silva, Cristina, Izquierdo, Francisco, Castro, José, Teruel Gomez, Josefina, Rodriguez, José, Cerviño, Santiago
المساهمون: España Ministerio de Ciencia e Innovación
المصدر: Estuarine, Coastal and Shelf Science ; volume 266, page 107747 ; ISSN 0272-7714
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16Conference
المؤلفون: Cousido-Rocha, Marta, Cerviño, Santiago, Gil, Juan, González-Herraiz, Isabel, Rincón-Hidalgo, Margarita, Ramos, Fernando, Rodríguez-Cabello, Cristina, Sampedro-Pastor, Paz, Vila, Yolanda, Pennino, María Gracia, Alonso-Fernández, A.
مصطلحات موضوعية: Centro Oceanográfico de A Coruña, Pesquerías, Data Limited Methods (DLM), Lenght Based Spawning Potential Ratio (LBSPR), Length Based Indicators (LBI), Bay of Biscay, Atlantic Iberian Waters, Nephrops Functional Unit 25 (North Galicia), fishery resources, Stock assessment
جغرافية الموضوع: Virtual meeting
Relation: Centro Oceanográfico de A Coruña; https://aslo2021.secure-platform.com/a/gallery/rounds/7/details/2281; ASLO 2021 Aquatic Sciences Meeting. (22/06/2021 - 27/06/2021. Virtual meeting). 2021. Abstract Number: 2281. En: , .; http://hdl.handle.net/10508/12250; http://hdl.handle.net/10261/322205; 23183
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17Electronic Resource
المؤلفون: Ministerio de Ciencia e Innovación (España), Cousido-Rocha, Marta [0000-0002-4587-8808], Cousido-Rocha, Marta, de Uña-Álvarez, Jacobo
مصطلحات الفهرس: artículo
URL:
http://hdl.handle.net/10261/348915 https://api.elsevier.com/content/abstract/scopus_id/85184780168 https://doi.org/10.32614/RJ-2023-063
R Journal
Publisher's versionhttps://doi.org/10.32614/RJ-2023-063
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118101GB-I00/ES/NUEVOS AVANCES METODOLOGICOS Y COMPUTATIONALES EN ESTADISTICA NO PARAMETRICA Y SEMIPARAMETRICA -
18Report
المؤلفون: Otero, Jaime, Izquierdo, Francisco, Cousido-Rocha, Marta, Araujo-Fernández, María Hortensia, Rodríguez, Francisco, Marín, Manuel, Castro, José, Pennino, María Gracia, Cerviño, Santiago
مصطلحات موضوعية: Centro Oceanográfico de Vigo, Pesquerías, fish, standardization, fishing time, differential equations, midwater trawls
جغرافية الموضوع: Océan atlantique, Virtual, Atlantique Nord, Atlántico Norte, Océano Atlántico, North Atlantic
Time: Atlantic Ocean, ICES
Relation: Centro Oceanográfico de Vigo; Working document to the Benchmark workshop on anglerfish and hake. (14/02/2022 - 18/02/2022. Virtual). 2022.; http://hdl.handle.net/10508/15760; http://hdl.handle.net/10261/327318; 50090
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19Report
المؤلفون: Cousido-Rocha, Marta, Izquierdo, Francisco, Mendes, Hugo, Silva, Cristina, Silva, Andreia, Cerviño, Santiago
مصطلحات موضوعية: Centro Oceanográfico de Vigo, Pesquerías, length, weight, analysis, parameterization, time series
جغرافية الموضوع: Virtual
Relation: Centro Oceanográfico de Vigo; Working document to the Benchmark workshop on anglerfish and hake. (14/02/2022 - 18/02/2022. Virtual). 2022.; http://hdl.handle.net/10508/15755; http://hdl.handle.net/10261/327315; 50085
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20Report
المؤلفون: Cousido-Rocha, Marta, Izquierdo, Francisco, Martínez-Minaya, Joaquín, Mendes, Hugo, Silva, Cristina, Silva, Andreia, Cerviño, Santiago
مصطلحات موضوعية: Centro Oceanográfico de Vigo, Pesquerías, data processing, time series, countries, coefficients, stock assessment
جغرافية الموضوع: Virtual
Relation: Centro Oceanográfico de Vigo; Working document to the Benchmark workshop on anglerfish and hake. (14/02/2022 - 18/02/2022. Virtual). 2022.; http://hdl.handle.net/10508/15753; http://hdl.handle.net/10261/327314; 50083