EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 35 (2022) Aquat. Living Resour., 35 (2022) 12 References
Open Access
Issue
Aquat. Living Resour.
Volume 35, 2022
Article Number 12
Number of page(s) 19
DOI https://doi.org/10.1051/alr/2022012
Published online 23 September 2022
  • Alves AV, Haimovici M, Cardoso LG. 2020. Long-term changes in the life history of the Jamaican weakfish, Cynoscion jamaicensis (Vaillant and Bocourt, 1883), in southern Brazil. Reg Stud Mar Sci 783, 2020: 101063. [Google Scholar]
  • Audzijonyte A, Kuparinen A. 2016. The role of life histories and trophic interactions in population recovery. Conserv Biol 30: 734–743. [CrossRef] [PubMed] [Google Scholar]
  • Audzijonyte A, Kuparinen A, Fulton EA. 2013. How fast is fisheries-induced evolution Quantitative analysis of modelling and empirical studies. Evol Appl 6: 585–595. [CrossRef] [PubMed] [Google Scholar]
  • Audzijonyte A, Fulton E, Haddon M, Helidoniotis F, Hobday AJ, Kuparinen A, Morrongiello J, Smith A, Upston J, Waples R. 2016. Trends and management implications of human-influenced life-history changes in marine ectotherms. Fish Fish 17: 1005–1028. [CrossRef] [Google Scholar]
  • Baudron AR, Needle CL, Rijnsdorp AD, Tara Marshall C. 2014. Warming temperatures and smaller body sizes: synchronous changes in growth of North Sea fishes. Glob Chang Biol 20: 1023–1031. [CrossRef] [PubMed] [Google Scholar]
  • Beamish RJ, McFarlane GA, Benson A. 2006. Longevity overfishing. Prog Oceanog 68: 289–302. [CrossRef] [Google Scholar]
  • Bertrand A, Vögler R, Defeo O. 2018. Climate change impacts, vulnerabilities and adaptations: Southwest Atlantic and Southeast Pacific marine fisheries. In: Barange M, Bahri T, Beveridge MCM, Cochrane KL, Funge-Smith S, Poulain F (Eds.), Impacts of climate change on fisheries and aquaculture: synthesis of current knowledge, adaptation and mitigation options. Rome: FAO Fisheries and Aquaculture Department pp. 325–346. [Google Scholar]
  • Bianchi G, Gislason H, Graham K, Hill L, Jin X, Koranteng K, Manickchand-Heileman S, Payá I, Sainsbury K, Sanchez F, Zwanenburg K. 2000. Impact of fishing on size composition and diversity of demersal fish communities. ICES J Mar Sci 57: 558–571. [CrossRef] [Google Scholar]
  • Canel D, Levy E, Soares IA, Braicovich PE, Haimovici M, Luque JL, Timi JT. 2019. Stocks and migrations of the demersal fish Umbrina canosai (Sciaenidae) endemic from the subtropical and temperate Southwestern Atlantic revealed by its parasites. Fish Res 214: 10–18. [CrossRef] [Google Scholar]
  • Cardoso LG, Haimovici M. 2011. Age and changes in growth of the king weakfish Macrodon atricauda (Günther, 1880) between 1977 and 2009 in the southern Brazil. Fish Res 111: 177–187. [CrossRef] [Google Scholar]
  • Cardoso LG, Haimovici M. 2014. Long term changes in the sexual maturity and in the reproductive biomass of the king weakfish Macrodon atricauda (Günther, 1880) in southern Brazil. Fish Res 160: 120–128. [CrossRef] [Google Scholar]
  • Cardoso LG, Haimovici M. 2015. Long-term changes in the age structure, mortality and biomass of the king weakfish Macrodon atricauda (Günther, 1880) in southern Brazil: is it resilient enough to avoid collapse? Fish Res 167: 174–179. [CrossRef] [Google Scholar]
  • Cardoso LG, Haimovici M. 2016. Density‐dependent changes in the feeding behaviour of Macrodon atricauda of southern Brazil. J Fish Biol 89: 1002–1008. [CrossRef] [PubMed] [Google Scholar]
  • Cardoso LG, da Silveira Monteiro D, Haimovici M. 2021. An assessment of discarded catches from the bottom pair trawling fishery in southern Brazil. MAFIS 34: 197–210. [Google Scholar]
  • Charnov EL, Gislason H, Pope JG. 2013. Evolutionary assembly rules for fish life histories. Fish Fish 14: 213–224. [CrossRef] [Google Scholar]
  • Cousseau MB, Perrotta R. 2013. Peces marinos de Argentina: biología, distribución, pesca. 4th Edition, Instituto Nacional de Investigación y Desarrollo Pesquero INIDEP, Mar de Plata, Argentina. [Google Scholar]
  • Darimont CT, Carlson SM, Kinnison MT, Paquet PC, Reimchen TE, Wilmers CC. 2009. Human predators outpace other agents of trait change in the wild. Proc Natl Acad Sci U S A 106: 952–954. [CrossRef] [PubMed] [Google Scholar]
  • Dieckmann U, Heino M. 2007. Probabilistic maturation reaction norms: their history, strengths, and limitations. Mar Ecol Prog Ser 335: 253–269. [CrossRef] [Google Scholar]
  • Dureuil M, Froese R. 2021. A natural constant predicts survival to maximum age. Commun Biol 4: 1–6. [CrossRef] [PubMed] [Google Scholar]
  • Enberg K, Jørgensen C, Dunlop ES, Varpe Ø, Boukal DS, Baulier L, Eliassen S, Heino M. 2012. Fishing-induced evolution of growth: concepts, mechanisms and the empirical evidence. Mar Ecol 33: 1–25. [CrossRef] [Google Scholar]
  • Ernande B, Dieckmann U, Heino M. 2004. Adaptive changes in harvested populations: plasticity and evolution of age and size at maturation. Proc R Soc Lond B 271: 415–423. [CrossRef] [PubMed] [Google Scholar]
  • Evans MR, Grimm V, Johst K, Knuuttila T, De Langhe R, Lessells CM, Merz M, O'Malley MA, Orzack SH, Weisberg M, Wilkinson DJ, Wolkenhauer O, Benton TG. 2013. Do simple models lead to generality in ecology? Trends Ecol Evol 28: 578–583. [CrossRef] [PubMed] [Google Scholar]
  • FAO. 2020. The State of World Fisheries and Aquaculture 2020. Rome, Sustainability in action. [Google Scholar]
  • Figueiredo JL, Santos AP, Yamaguti N, Bernardes RA, Rossi-Wongtschowski CLDB. 2002. Peixes da zona econômica exclusiva da região sudeste-sul do Brasil: Levantamento com rede de meia-água. São Paulo, Editora da Universidade de São Paulo. [Google Scholar]
  • Franco BC, Combes V, González Carman V. 2020. Subsurface ocean warming hotspots and potential impacts on marine species: the southwest South Atlantic Ocean case study. Front Mar Sci 7: 563394. [CrossRef] [Google Scholar]
  • Gianelli I, Ortega L, Marín Y, Piola A, Defeo O. 2019. Evidence of ocean warming in Uruguay's fisheries landings: The mean temperature of the catch approach. Mar Ecol Progr Ser 625: 115–125. [CrossRef] [Google Scholar]
  • Gonzalez-Alberdi P, Nani A. 1967. Contribución al Conocimiento de la Biologia del Pargo Blanco Umbrina canosai, de la Región de Mar del Plata. Rio de Janeiro, FAO. Carpas Documento Técnico no. 10. [Google Scholar]
  • Gutiérrez NL, Defeo O. 2013. Evaluación de recursos pesqueros de Uruguay mediante modelos dinámicos. Proyecto Gestión Pesquera en Uruguay. Montevideo, MGAP-DINARA − FAO. [Google Scholar]
  • Haddon M. 2011. Modelling and Quantitative Methods in Fisheries. 2nd edn. New York: Chapman and Hall/CRC. [CrossRef] [Google Scholar]
  • Haimovici M. 1987. Estratégia de amostragens de comprimentos de teleósteos demersais nos desembarques da pesca de arrasto no litoral sul do Brasil. Atlântica 9: 65–82. [Google Scholar]
  • Haimovici M. 1998. Present state and perspectives for the Southern Brazil shelf demersal fisheries. Fish Manag Ecol 5: 277–289. [CrossRef] [Google Scholar]
  • Haimovici M, Cardoso LG. 2016. Colapso do estoque de Umbrina canosai do Sul do Brasil devido à introdução do arrasto-de-meia-água. Bol Inst Pesca 42: 258–267. [CrossRef] [Google Scholar]
  • Haimovici M, Cardoso LG. 2017. Long-term changes in the fisheries in the Patos Lagoon estuary and adjacent coastal waters in Southern Brazil. Mar Biol Res 13: 135–150. [CrossRef] [Google Scholar]
  • Haimovici M, Cousin JCB. 1989. Reproductive biology of the castanha Umbrina canosai (Pisces, Scianidae) in southern Brazil. Rev Bras Biol 49: 523–537. [Google Scholar]
  • Haimovici M, Mendonça JT. 1996. Análise da pesca de arrasto de tangones de peixes e camarões no sul do Brasil. Atlântica 18: 143–160. [Google Scholar]
  • Haimovici M, Palacios Maceira R. 1981. Observações sobre a seleção a bordo e rejeição na pesca de arrasto de fundo no Rio Grande do Sul. Anais do Segundo Congresso Brasileiro de Engenharia de Pesca . Recife julho de l98l: 401–411. [Google Scholar]
  • Haimovici M, Reis EG. 1984. Determinação de idade e crescimento da castanha Umbrina canosai (Pisces, Sciaenidae) do sul do Brasil. Atlântica 7: 25–46. [Google Scholar]
  • Haimovici M, Martins AS, Vieira PC. 1996. Distribuição e abundância de teleósteos demersais sobre a plataforma continental do sul do Brasil. Rev Bras Biol 56: 27–50. [Google Scholar]
  • Haimovici M, Teixeira RL, Arruda MC. 1989. Alimentação da castanha Umbrina canosai (Pisces: Sciaenidae) no sul do Brasil. Rev Bras Biol 49: 511–522. [Google Scholar]
  • Haimovici M, Pereira S, Castelli Vieira P. 1989. La pesca demersal en el sur de Brasil en el periodo l975-l985. Frente Marít. 5: 151–163. [Google Scholar]
  • Haimovici M, Absalonsen L, Velasco G, Miranda LV. 2006. Diagnóstico do estoque e orientações para o ordenamento da pesca de Umbrina canosai (Berg, 1895) In: Rossi-Wongtschowski CLDB, Ávila-da-Silva AO, Cergole MC (Eds.), Análise das Principais Pescarias Comerciais da Região Sudeste-Sul do Brasil: Dinâmica Populacional das Espécies em Explotação − II. São Paulo, USP pp. 77–85. [Google Scholar]
  • Haimovici M, Cavole LM, Cope JM, Cardoso LG. 2021. Long-term changes in population dynamics and life history contribute to explain the resilience of a stock of Micropogonias furnieri (Sciaenidae, Teleostei) in the SW Atlantic. Fish Res 237: 105878. [CrossRef] [Google Scholar]
  • Heino M, Godø OR. 2002. Fisheries-induced selection pressures in the context of sustainable fisheries. Bull Mar Sci 70: 639–656. [Google Scholar]
  • Hiddink JG, Rijnsdorp AD, Piet G. 2008. Can bottom trawling disturbance increase food production for a commercial fish species? Can J Fish Aquat Sci 65: 1393–1401. [CrossRef] [Google Scholar]
  • Hixon MA, Johnson DW, Sogard SM. 2014. BOFFFFs: on the importance of conserving old-growth age structure in fishery populations. ICES J Mar Sci 71: 2171–2185. [CrossRef] [Google Scholar]
  • Hobday AJ, Pecl GT. 2014. Identification of global marine hotspots: sentinels for change and vanguards for adaptation action. Rev Fish Biol Fish 24: 415–425. [CrossRef] [Google Scholar]
  • Hordyk AR, Ono K, Valencia SR, Loneragan NR, Prince JD. 2015. A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries. ICES J Mar Sci 72: 217–231. [Google Scholar]
  • Hutchings JA. 2002. Life histories of fish. In: Hart PJB, Reynolds JD (Eds.), Handbook of Fish and Fisheries. UK: Blackwell, Oxford, pp. 149–174. [CrossRef] [Google Scholar]
  • Hutchings JA, Jones MEB. 1998. Life history variation and growth rate thresholds for maturity in Atlantic salmon, Salmo salar. Can J Fish Aquat Sci 55: 22–47. [Google Scholar]
  • Keith DM, Hutchings JA. 2012. Population dynamics of marine fishes at low abundance. Can J Fish Aquat Sci 69: 1150–1163. [CrossRef] [Google Scholar]
  • Kellner K. 2019. jagsUI: A Wrapper Around ‘rjags' to Streamline ‘JAGS' Analyses. R package version 1.5.1. Available at https://CRAN.R-project.org/package=jagsUI [Google Scholar]
  • Kikuchi E, Cardoso LG, Canel D, Timi JT, Haimovici M. 2021. Using growth rates and otolith shape to identify the population structure of Umbrina canosai (Sciaenidae) from the Southwestern Atlantic. Mar Biol Res 17: 272–285. [CrossRef] [Google Scholar]
  • Kinas PG, Andrade HÁ. 2010. Introdução à Análise Bayesiana (com R). Porto Alegre, Editora Mais Que Nada. [Google Scholar]
  • Kuparinen A, Mantyniemi S, Hutchings JA, Kuikka S. 2012. Increasing biological realism of fisheries stock assessment: towards hierarchical Bayesian methods. Environ Rev 20: 135–151. [CrossRef] [Google Scholar]
  • Law R. 2000. Fishing selection and phenotypic evolution. ICES J Mar Sci 57: 659–668. [CrossRef] [Google Scholar]
  • Le-Cren ED. 1951. The length-weight relationship and seasonal cycle in gonadal weight and condition in the perch (Perca fluviatilis ). J Anim Ecol 20: 201–219. [CrossRef] [Google Scholar]
  • Longhurst AR. 2010. Mismanagement of Marine Fisheries. Cambridge: Cambridge University Press. [CrossRef] [Google Scholar]
  • Longhurst AR, Pauly D. 1987. Ecology of Tropical Oceans. New York, Academic Press. [Google Scholar]
  • Lowe-McConnell RH. 1987. Ecological studies in tropical fish communities. Cambridge: Cambridge University Press. [CrossRef] [Google Scholar]
  • Marteinsdottir G, Begg GA. 2002. Essential relationships incorporating the influence of age, size and condition on variables required for estimation of reproductive potential in Atlantic cod Gadus morhua . Mar Ecol Prog Ser 235: 235–256. [CrossRef] [Google Scholar]
  • Martins AS, Haimovici M. 2017. Seasonal mesoscale shifts of demersal nekton assemblages in the subtropical South-western Atlantic. Mar Biol Res 13: 88–97. [CrossRef] [Google Scholar]
  • Martins AS, Haimovici M. 2020. Key prey indicates high resilience on marine soft bottom habitats. Mar Environ Res 159: 104963. [CrossRef] [PubMed] [Google Scholar]
  • Machado DV. 2021. Diversidade genética e estrutura populacional da castanha (Umbrina canosai) no Atlântico Sudoeste, inferida por microssatélites [Masters thesis]. Instituto de Oceanografia, Universidade Federal do Rio Grande − FURG. [Google Scholar]
  • Militelli MI, Macchi GJ, Rodrigues KA. 2013. Comparative reproductive biology of Sciaenidae family species in the Rio de la Plata and Buenos Aires Coastal Zone, Argentina. J Mar Biolog Assoc 93: 413–423. [CrossRef] [Google Scholar]
  • Miranda LV, Haimovici M. 2007. Changes in the population structure, growth and mortality of stripped weakfish Cynoscion guatucupa (Sciaenidae, Teleostei) of Southern Brazil between 1976 and 2002. Hydrobiologia 589: 69–78. [CrossRef] [Google Scholar]
  • Morrongiello JR, Thresher RE. 2015. A statistical framework to explore ontogenetic growth variation among individuals and populations: a marine fish example. Ecol Monogr 85: 93–115. [CrossRef] [Google Scholar]
  • Palumbi SR. 2004. Why mothers matter. Nature 430: 621–622. [CrossRef] [PubMed] [Google Scholar]
  • Pauly D, Zeller D. 2017. Comments on FAOs state of world fisheries and aquaculture (SOFIA 2016). Mar Policy 77: 176–181. [CrossRef] [Google Scholar]
  • Punt AE, Castillo-Jordán C, Hamel OS, Cope JM, Maunder MN, Ianelli JN. 2021. Consequences of error in natural mortality and its estimation in stock assessment models. Fish Res 233: 105759. [CrossRef] [Google Scholar]
  • R Core Team. 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at https://www.R-project.org/. [Google Scholar]
  • Reynolds JD. 2003. Life histories and extinction risk. In: Blackburn TM, Gaston JK (Eds.), Macroecology. UK: Blackwell, Oxford, pp. 195–217. [Google Scholar]
  • Reynolds JD, Mace GM, Redford KH, Robinson JG. (Eds.). 2001. Conservation of Exploited Species. Cambridge: Cambridge University Press. [Google Scholar]
  • Ricker WE. 1975. Computation and interpretation of biological statistics of fish populations. Ottawa: Department of the environment fisheries and marine service, Bulletin 191. [Google Scholar]
  • Roff DA. 2002. Life History Evolution. Sunderland: Sinauer Associates Inc. [Google Scholar]
  • Rowe S, Hutchings JA. 2003. Mating systems and the conservation of commercially exploited marine fish. Trends Ecol Evol 18: 567–572. [CrossRef] [Google Scholar]
  • Rowe DK, Thorpe JE, Shanks AM. 1991. Role of fat stores in the maturation of male Atlantic salmon (Salmo salar) Parr. Can J Fish Aquat Sci 48: 405–413. [CrossRef] [Google Scholar]
  • Ruarte C, Lasta C, Carozza C. 2004. Pescadilla de red (Cynoscion guatucupa). In: Sanchez RP, Bezzi I, Boschi EE (Eds.), El mar argentino y sus recursos pesqueros. Tomo 4. Los peces marinos de interes pesquero. Caracterizacion biologica y evaluacion del estado de explotacion. Mar del Plata, Publicaciones especiales. INIDEP pp. 271–281. [Google Scholar]
  • Saborido-Rey F, Trippel EA. 2013. Fish reproduction and fisheries. Fish Res 138: 1–4. [CrossRef] [Google Scholar]
  • Sánchez MF, Mari N, Lasta CA, Giangiobbe A. 1991. Alimentación de la corvina rubia (Micropogonias furnieri) en la Bahía Samborombón. Fren Mar 8: 43–50. [Google Scholar]
  • Sharpe DMT, Hendry AP. 2009. Life history change in commercially exploited fish stocks: an analysis of trends across studies. Evol Appl 2: 260–275. [CrossRef] [PubMed] [Google Scholar]
  • Stawitz CC, Haltuch MA, Johnson KF. 2019. How does growth misspecification affect management advice derived from an integrated fisheries stock assessment model? Fish Res 213: 12–21. [CrossRef] [Google Scholar]
  • Stewart J. 2011. Evidence of age-class truncation in some exploited marine fish populations in New South Wales, Australia. Fish Res 108: 209–213. [CrossRef] [Google Scholar]
  • Sturtz S, Ligges U, Gelman A. 2005. R2WinBUGS: A package for running WinBUGS from R. J Stat Softw 12: 1–16. [CrossRef] [Google Scholar]
  • Then AY, Hoenig JM, Hall NG, Hewitt DA. 2015. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species. ICES J Mar Sci 72: 82–92. [CrossRef] [Google Scholar]
  • Thomas A, O'Hara B, Ligges U, Sturtz S. 2006. Making BUGS Open. R News 6: 12–17. [Google Scholar]
  • Trippel EA. 1999. Estimation of stock reproductive potential: history and challenges for Canadian Atlantic gadoid stock assessments. J Northwest Atl Fish Sc 25: 61–81. [CrossRef] [Google Scholar]
  • Trippel EA, Kjesbu OS, Solemdal P. 1997. Effects of adult age and size structure on reproductive output in marine fishes. In: Chambers RC, Tripple EA (Eds.), Early Life History and Recruitment in Fish Populations. London: Chapman and Hall, pp. 31–62. [CrossRef] [Google Scholar]
  • Van Denderen PD, Bolam SG, Hiddink JG, Jennings S, Kenny A, Rijnsdorp AD, Van Kooten T. 2015. Similar effects of bottom trawling and natural disturbance on composition and function of benthic communities across habitats. Mar Ecol Prog Ser 541: 31–43. [CrossRef] [Google Scholar]
  • Vasconcellos M, Haimovici M, Ramos K. 2014. Pesca de emalhe demersal no sul do Brasil: evolução, conflitos e (des)ordenamento. In: Haimovici M, Andriguetto JM, Sunye PS. (Eds.), A Pesca Marinha e Estuarina no Brasil: Estudos de Caso. Rio Grande, Editora da FURG, pp 29–40. [Google Scholar]
  • Venables WN, Ripley BD. 2002. Modern Applied Statistics with S, 4th edn. New York: Springer. [CrossRef] [Google Scholar]
  • Vooren CM. 1983. Seleção pela malha na pesca de arrasto da Castanha Umbrina canosai, Pescada Cynoscion striatus e Pescadinha Macrodon ancylodon no Rio grande do Sul. Rio Grande, Documentos Técnicos de Oceanografia. [Google Scholar]
  • Vooren CM, Klippel S. 2005. Ações para Conservação de Tubarões e Raias no Sul do Brasil. Porto Alegre, Igaré. [Google Scholar]
  • Wootton RJ. 1998. Ecology of Teleost Fishes, 2nd edn. Dordrecht: Kluver Academic Publishers. [Google Scholar]
  • Yesaki M, Bager KJ. 1975. Histórico da evolução da pesca industrial em Rio Grande. Rio Grande: Série Documentos Técnicos SUDEPE/PDP n° 11. [Google Scholar]
  • Zar JH. 1999. Biostatistical Analysis, 4th edn. Upper Saddle River: Prentice Hall. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.