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  • Source: Fisheries Research. Unidade: EACH

    Assunto: ECOSSISTEMAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      SANTOS, Jessica Borba Quintela dos et al. Identification of western south atlantic stocks of the lane snapper (Lutjanus synagris) from an otolith based multi-proxy approach. Fisheries Research, v. 253, p. 01-15, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.fishres.2022.106356. Acesso em: 16 out. 2024.
    • APA

      Santos, J. B. Q. dos, Chiessi, C. M., Crivellari, S., Vasconcelos Filho, J. E. de, Pereira, N., Freitas, M. O., & Ferreira, B. P. (2022). Identification of western south atlantic stocks of the lane snapper (Lutjanus synagris) from an otolith based multi-proxy approach. Fisheries Research, 253, 01-15. doi:10.1016/j.fishres.2022.106356
    • NLM

      Santos JBQ dos, Chiessi CM, Crivellari S, Vasconcelos Filho JE de, Pereira N, Freitas MO, Ferreira BP. Identification of western south atlantic stocks of the lane snapper (Lutjanus synagris) from an otolith based multi-proxy approach [Internet]. Fisheries Research. 2022 ; 253 01-15.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2022.106356
    • Vancouver

      Santos JBQ dos, Chiessi CM, Crivellari S, Vasconcelos Filho JE de, Pereira N, Freitas MO, Ferreira BP. Identification of western south atlantic stocks of the lane snapper (Lutjanus synagris) from an otolith based multi-proxy approach [Internet]. Fisheries Research. 2022 ; 253 01-15.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2022.106356
  • Source: Fisheries Research. Unidade: FFCLRP

    Subjects: DECAPODA, MORFOMETRIA, ZOOLOGIA, CAMARÃO, BIODIVERSIDADE

    Acesso à fonteDOIHow to cite
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    • ABNT

      TEODORO, S. S. A et al. Discordance in the identification of juvenile pink shrimp (Farfantepenaeus brasiliensis and F. paulensis: Family Penaeidae): an integrative approach using morphology, morphometry and barcoding. Fisheries Research, v. 183, p. 244-253, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.fishres.2016.06.009. Acesso em: 16 out. 2024.
    • APA

      Teodoro, S. S. A., Terossi, M., Mantelatto, F. L. M., & Costa, R. C. (2016). Discordance in the identification of juvenile pink shrimp (Farfantepenaeus brasiliensis and F. paulensis: Family Penaeidae): an integrative approach using morphology, morphometry and barcoding. Fisheries Research, 183, 244-253. doi:10.1016/j.fishres.2016.06.009
    • NLM

      Teodoro SSA, Terossi M, Mantelatto FLM, Costa RC. Discordance in the identification of juvenile pink shrimp (Farfantepenaeus brasiliensis and F. paulensis: Family Penaeidae): an integrative approach using morphology, morphometry and barcoding [Internet]. Fisheries Research. 2016 ; 183 244-253.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2016.06.009
    • Vancouver

      Teodoro SSA, Terossi M, Mantelatto FLM, Costa RC. Discordance in the identification of juvenile pink shrimp (Farfantepenaeus brasiliensis and F. paulensis: Family Penaeidae): an integrative approach using morphology, morphometry and barcoding [Internet]. Fisheries Research. 2016 ; 183 244-253.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2016.06.009
  • Source: Fisheries Research. Unidade: IME

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, MODELOS EM SÉRIES TEMPORAIS, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO, CAMARÃO

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    • ABNT

      MONTENEGRO, Carlos e BRANCO, Marcia D'Elia. Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions. Fisheries Research, v. 181, p. 48-62, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.fishres.2016.03.021. Acesso em: 16 out. 2024.
    • APA

      Montenegro, C., & Branco, M. D. 'E. (2016). Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions. Fisheries Research, 181, 48-62. doi:10.1016/j.fishres.2016.03.021
    • NLM

      Montenegro C, Branco MD'E. Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions [Internet]. Fisheries Research. 2016 ; 181 48-62.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2016.03.021
    • Vancouver

      Montenegro C, Branco MD'E. Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions [Internet]. Fisheries Research. 2016 ; 181 48-62.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2016.03.021
  • Source: Fisheries Research. Unidade: ESALQ

    Subjects: SIMULAÇÃO (ESTATÍSTICA), GEOESTATÍSTICA, INFERÊNCIA BAYESIANA

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    • ABNT

      PEREIRA, Júlio César et al. Comparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation study. Fisheries Research, v. 121\2013122, p. 115\2013125, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.fishres.2012.01.018. Acesso em: 16 out. 2024.
    • APA

      Pereira, J. C., Leandro, R. A., Petrere Júnior, M., & Nishida, T. (2012). Comparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation study. Fisheries Research, 121\2013122, 115\2013125. doi:10.1016/j.fishres.2012.01.018
    • NLM

      Pereira JC, Leandro RA, Petrere Júnior M, Nishida T. Comparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation study [Internet]. Fisheries Research. 2012 ; 121\2013122 115\2013125.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2012.01.018
    • Vancouver

      Pereira JC, Leandro RA, Petrere Júnior M, Nishida T. Comparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation study [Internet]. Fisheries Research. 2012 ; 121\2013122 115\2013125.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2012.01.018
  • Source: Fisheries Research. Unidade: ESALQ

    Subjects: GEOESTATÍSTICA, ESTATÍSTICAS ESPACIAIS

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      PEREIRA, Júlio César et al. Comparing three indices of catch per unit effort using Bayesian geostatistics. Fisheries Research, v. 100, n. 3, p. 200-209, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.fishres.2009.07.010. Acesso em: 16 out. 2024.
    • APA

      Pereira, J. C., Leandro, R. A., Petrere Júnior, M., & Nishida, T. (2009). Comparing three indices of catch per unit effort using Bayesian geostatistics. Fisheries Research, 100( 3), 200-209. doi:10.1016/j.fishres.2009.07.010
    • NLM

      Pereira JC, Leandro RA, Petrere Júnior M, Nishida T. Comparing three indices of catch per unit effort using Bayesian geostatistics [Internet]. Fisheries Research. 2009 ; 100( 3): 200-209.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2009.07.010
    • Vancouver

      Pereira JC, Leandro RA, Petrere Júnior M, Nishida T. Comparing three indices of catch per unit effort using Bayesian geostatistics [Internet]. Fisheries Research. 2009 ; 100( 3): 200-209.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.fishres.2009.07.010

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