THE INFLUENCE OF THE COASTAL CURRENT ON THE ESTIMATION OF RELATIVE ABUNDANCE INDICES IN SMALL-SCALE SHRIMP FISHERY
DOI:
https://doi.org/10.20950/1678-2305/bip.2021.47.e665Keywords:
fishing effort;, Catch per Unit Effort;, Catch per Unit Swept Area;, fisheries research;, trawl fishing;, artisanal fishing.Abstract
The aim of this scientific note was to evaluate the influence of the coastal current on the estimation of relative abundance indices for small-scale marine shrimp trawling to indicate the best relative abundance index to be used for stock assessment and conservation. Georeferenced experimental trawls were carried out with standardized equipment and capture time on the coast of Rio Grande do Norte, northeastern Brazil. Drags followed convergent and divergent orientations in relation to the flow of the local coastal current. The results showed that the direction of the coastal current flow directly influences the distances and drag shifts, generating variations in the sampling effort and, consequently, bias when using Catch per Unit Effort (CPUE) as a relative abundance index. Conversely, the adoption of Catch per Unit of Swept Area (CPUA) as an index of relative abundance for shrimp trawling becomes more suitable since the variations in the distances of trawl shifts are perceptible through this index.
References
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Martins, D.E.G.; Camargo-Zorro, M.; Souza-Filho, P.W.M.; Cintra, I.H.A.; Silva, K.C.A. 2015. Spatial distribution of southern brown shrimp (Farfantepenaeus subtilis) on the Amazon continental shelf: a fishery, marine geology and GIS integrated approach. Brazilian Journal of Oceanography, 63(4): 397-406. https://doi.org/10.1590/S1679-87592015090106304.
Melo, Y.P.C.; Asano-Filho, M.; Holanda, F.C.A.F.; Santos, F.J.S.; Castro, I.M.A. 2005. Distribuição e abundí¢ncia do camarão-rosa Farfantepenaeus subtilis (Peréz Farfante, 1967) (Crustacea, Decapoda, Penaeidae) na região norte do Brasil, durante as pescarias experimentais do programa REVIZEE/NORTE. Boletim Técnico-Científico do CEPNOR, 5(1): 73-81.
Mendonça, J.T.; Graça-Lopes, R.; Azevedo, V.G. 2013. Estudo da CPUE da pesca paulista dirigida ao camarão sete-barbas entre 2000 e 2011. Boletim do Instituto de Pesca, 39(3): 251-261.
Mirzaei, M.R.; Hatami, P.; Hosseini, S.A. 2019. Interpreting biomass and catch per unit area (CPUA) to assess the status of demersal fishes in Oman Sea. International Journal of Aquatic Biology, 7(2): 93-96.
Mirzaei, M.R.; Valinasab, T.; Ajdari, A. 2021. Catch Per Unit Area (CPUA) estimation and distribution pattern of pharaoh cuttlefish from North Coast of Gulf of Oman. Journal of Survey in Fisheries Sciences, 7(2): 161-168.
Moeller, J. 2015. A word on standardization in longitudinal studies: don’t. Frontiers in Psychology, 6: 1389. https://doi.org/10.3389/fpsyg.2015.01389.
Neuhí¤user, M. 2011. Wilcoxon-Mann-Whitney Test. In: Lovric, M. (ed.). International encyclopedia of statistical science. 1st ed. Berlin: Springer. p. 1656-1658. https://doi.org/10.1007/978-3-642-04898-2_615.
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Perez, J.A.A. 1999. Padronização do esforço da pesca de arrasto em Santa Catarina: o caso da pesca da lula, Loligo plei. Notas Técnicas da FACIMAR, 3: 47-56. https://doi.org/10.14210/bjast.v3n1.p47-56.
Perez, E.E.P.; Defeo, O. 2005. Estimation of catchability for the Heterocarpus reedi and Cervimunida johni fisheries in northern Chile, using different catch per unit of area estimators. Interciencia, 30(1): 19-23.
Petrere-Junior, M.; Giacomini, H.C.; De Marco-Junior, P. 2010. Catch-per-unit-effort: which estimator is best? Brazilian Journal of Biology, 70(3): 483-491. https://doi.org/10.1590/S1519-69842010005000010.
Pezzuto, P.R.; Alvarez-Perez, J.A.; Wahrlich, R. 2008. The use of the swept area method for assessing the seabob shrimp Xiphopenaeus kroyeri (Heller, 1862) biomass and removal rates based on artisanal fishery-derived data in southern Brazil: using depletion models to reduce uncertainty. Latin American Journal of Aquatic Research, 36(2): 245-257.
Quirijns, F.J.; Poos, J.J.; Rijnsdorp, A.D. 2008. Standardizing commercial CPUE data in monitoring stock dynamics: accounting for targeting behaviour in mixed fisheries. Fisheries Research, 89(1): 1-8. https://doi.org/10.1016/j.fishres.2007.08.016.
R Development Core Team. 2020. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Available at: <http://www.R-project.org/>. Accessed: Dec. 28, 2020.
Rose, G.A.; Kulka, D.W. 1999. Hyperaggregation of fish and fisheries: how catch-per-unit-effort increased as the northern cod (Gadus morhua) declined. Canadian Journal of Fisheries and Aquatic Sciences, 56(S1): 118-127. https://doi.org/10.1139/f99-207.
Rijnsdorp, A.D.; Dekker, W.; Daan, N. 2006. Partial fishing mortality per fishing trip: a useful indicator for effective fishing effort in management of mixed demersal fisheries. ICES Journal of Marine Science, 63(3): 556-566. https://doi.org/10.1016/j.icesjms.2005.10.003.
Salthaug, A. 2001. Adjustment of commercial trawling effort for Atlantic cod, Gadus morhua, due to increasing catching efficiency. Fish Bulletin, 99(2): 338-342.
Selvam, K.; Xavier, K.A.M.; Shivakrishna, A.; Bhutia, T.P.; Kamat, S.; Shenoy, L. 2021. Abundance, composition and sources of marine debris trawled-up in the fishing grounds along the north-east Arabian coast. The Science of the Total Environment, 751: 141771. https://doi.org/10.1016/j.scitotenv.2020.141771.
Silva-Júnior, C.A.B.; Lira, A.S.; Eduardo, L.N.; Viana, A.P.; Lucena-Frédou, F.; Frédou, T. 2019. Ichthyofauna bycatch of the artisanal fishery of penaeid shrimps in Pernambuco, northeastern Brazil. Boletim do Instituto de Pesca, 45(1): e435. https://doi.org/10.20950/1678-2305.2019.45.1.435.
Shapiro, S.S.; Wilk, M.B. 1965. An analysis of variance test for normality (complete samples). Biometrika, 52(3-4): 591-611. https://doi.org/10.2307/2333709.
Sparre, P.; Venema, S.C. 1992. Introduction to Tropical Fish Stock Assessment. Part 1. Manual. Review 1. Rome: FAO. v. 306, n. 1, 376p. (FAO Fisheries Technical Paper).
Spearman, C. 1904. The proof and measurement of association between two things. The American Journal of Psychology, 15(1): 72-101. https://doi.org/10.2307/1412159.
Valentini, H.; D’Incao, F.; Rodrigues, L.F.; Dumont, L.F. 2012. Evolução da pescaria industrial de camarão-rosa (Farfantepenaeus brasiliensis e F. paulensis) na costa sudeste e sul do Brasil í 1968-1989. Atlí¢ntica, 34(2): 157-171.
Vital, H.; Silveira, I.M.; Tabosa, W.F.; Lima, Z.M.C.; Lima-Filho, F.P.; Souza, F.E.S.; Chaves, M.S.; Pimenta, F.M.; Gomes, M.P. 2016. Beaches of Rio Grande do Norte. In: Short, A.D.; Klein, H.F. (eds.). Brazilian beach systems. Switzerland: Springer. v. 17, p. 201-229. (Coastal Research Library). https://doi.org/10.1007/978-3-319-30394-9.
Walker, N.D.; Maxwell, D.L.; Quesne, W.F.L.; Jennings, S. 2017. Estimating efficiency of survey and commercial trawl gears from comparisons of catch-ratios. ICES Journal of Marine Science, 74(5): 1448-1457. https://doi.org/10.1093/icesjms/fsw250.
Yesaki, M. 1974. Os recursos de peixes de arrasto ao largo da costa do Brasil. Rio de Janeiro: PDP/SUDEPE. v. 8, p. 1-47. (Série Documentos Técnicos).
Zar, J.H. 2010. Biostatistical analysis. 5th ed. Upper Saddle River: Pearson Prentice-Hall. 944p.
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Asano-Filho, M.; Holanda, F.C.A.F.; Santos, F.J.S. 2003. Influência da profundidade na distribuição do camarão rosa, Farfantepenaeus subtilis (Pérez Farfante, 1967), na região norte do Brasil. Boletim Técnico-Científico do CEPNOR, 3(1): 9-19.
Carvalho, A.R.; Pennino, M.G.; Bellido, J.M.; Olavo, G. 2020. Small-scale shrimp fisheries bycatch: A multi-criteria approach for data-scarse situations. Marine Policy, 116: 103613. https://doi.org/10.1016/j.marpol.2019.103613.
Dumont, L.F.C.; D’Incao, F. 2008. Distribution and abundance of the Argentinean (Artemesia longinaris) and red (Pleoticus muelleri) prawns (Decapoda:Penaeoidea) in Southern Brazil during the commercial double-rig trawl fishery season. Nauplius, 16(2): 83-94.
Fonteles-Filho, A.A. 2011. Oceanografia, biologia e diní¢mica populacional de recursos pesqueiros. 1ª ed. Fortaleza: Expressão Gráfica e Editora. 464p.
Furtado-Júnior, I.; Tavares, M.C.S.; Brito, C.S.F. 2003. Avaliação do potencial da produção de peixes e camarões, com rede-de-arrasto de fundo, a plataforma continental da região norte do Brasil (área de pesca do camarão-rosa). Boletim Técnico-Científico do CEPNOR, 3(1): 147-161.
Giovindin, J.L.S. 2014. Agroindústria canavieira e unidade de conservação: impactos sociais na comunidade de pescadores de Baía Formosa (RN). Natal. 80f. (Masters Dissertation. Universidade Federal do Rio Grande do Norte - PRODEMA/UFRN). Available at: <https://repositorio.ufrn.br/bitstream/123456789/18259/1/JulienneLSG_DISSERT.pdf> Accessed: Dec. 22, 2020.
Gulland, J.A. 1964. Catch per unit of effort as a measure of abundance. Rapports et Procí¨s-Verbaux des Réunions du Conseil Permanent International pour l’Exploration de la Mer, 155(1): 8-14. Available at: <https://www.ices.dk/sites/pub/Publication%20Reports/Marine%20Science%20Symposia/Phase%202/Rapport%20et%20Proces-Verbaux%20des%20Reunions%20-%20Volume%20155%20-%201964%20-%20Partie%2004%20de%2043.pdf>. Accessed: Feb. 2, 2021.
Horwood, J.W.; Millner, R.S. 1998. Cold induced abnormal catches of sole. Journal of the Marine Biological Association of the United Kingdom, 78(1): 345-347. https://doi.org/10.1017/S0025315400040133.
Kolding, J.; Béné, C.; Bavinck, M. 2014. Small-scale fisheries: importance, vulnerability, and deficient knowledge. In: Garcia, S.M.; Rice, J.; Charles, A. (eds.). Governance of marine fisheries and biodiversity conservation: interaction and coevolution. Chichester: John Wiley & Sons. p. 317-331. https://doi.org/10.1002/9781118392607.ch22.
Kolling, J.A.; Ávila-da-Silva, A.O.; Quintanilha, J.A. 2019. Spatiotemporal evaluation of Xiphopenaeus kroyeri (Heller, 1862) abundance in a region of the Southwest Atlantic shelf. Continental Shelf Research, 177: 50-58. https://doi.org/10.1016/j.csr.2019.02.007.
Kim, T.K. 2015. T test as a parametric statistic. Korean Journal of Anesthesiology, 68(6): 540-546. https://doi.org/10.4097/kjae.2015.68.6.540.
Levene, H. 1960. Robust tests for equality of variances. In: Olkin, I. (ed.). Contributions to probability and statistics. Palo Alto: Stanford University Press. p. 278-292.
Lombardi, P.M.; Rodrigues, F.L.; Vieira, J.P. 2014. Longer is not always better: the influence of beach seine net haul distance on fish catchability. Zoologia, 31(1): 35-41. https://doi.org/10.1590/S1984-46702014000100005.
Loebmann, D.; Vieira, J.P. 2006. O impacto da pesca do camarão-rosa Farfantepenaeus paulensis (Perez-Farfante) (Decapoda, Penaeidae) nas assembléias de peixes e siris do Parque Nacional da Lagoa do Peixe, Rio Grande do Sul, Brasil. Revista Brasileira de Zoologia, 23(4): 1016-1028. https://doi.org/10.1590/S0101-81752006000400006.
Marchal, P.; Ulrich, C.; Korsbrekke, K.; Pastoors, M.; Rackham, B. 2002. A comparison of three indices of fishing power on some demersal fisheries of the North Sea. ICES Journal of Marine Science, 59(3): 604-623. https://doi.org/10.1006/jmsc.2002.1215.
Martins, D.E.G.; Camargo-Zorro, M.; Souza-Filho, P.W.M.; Cintra, I.H.A.; Silva, K.C.A. 2015. Spatial distribution of southern brown shrimp (Farfantepenaeus subtilis) on the Amazon continental shelf: a fishery, marine geology and GIS integrated approach. Brazilian Journal of Oceanography, 63(4): 397-406. https://doi.org/10.1590/S1679-87592015090106304.
Melo, Y.P.C.; Asano-Filho, M.; Holanda, F.C.A.F.; Santos, F.J.S.; Castro, I.M.A. 2005. Distribuição e abundí¢ncia do camarão-rosa Farfantepenaeus subtilis (Peréz Farfante, 1967) (Crustacea, Decapoda, Penaeidae) na região norte do Brasil, durante as pescarias experimentais do programa REVIZEE/NORTE. Boletim Técnico-Científico do CEPNOR, 5(1): 73-81.
Mendonça, J.T.; Graça-Lopes, R.; Azevedo, V.G. 2013. Estudo da CPUE da pesca paulista dirigida ao camarão sete-barbas entre 2000 e 2011. Boletim do Instituto de Pesca, 39(3): 251-261.
Mirzaei, M.R.; Hatami, P.; Hosseini, S.A. 2019. Interpreting biomass and catch per unit area (CPUA) to assess the status of demersal fishes in Oman Sea. International Journal of Aquatic Biology, 7(2): 93-96.
Mirzaei, M.R.; Valinasab, T.; Ajdari, A. 2021. Catch Per Unit Area (CPUA) estimation and distribution pattern of pharaoh cuttlefish from North Coast of Gulf of Oman. Journal of Survey in Fisheries Sciences, 7(2): 161-168.
Moeller, J. 2015. A word on standardization in longitudinal studies: don’t. Frontiers in Psychology, 6: 1389. https://doi.org/10.3389/fpsyg.2015.01389.
Neuhí¤user, M. 2011. Wilcoxon-Mann-Whitney Test. In: Lovric, M. (ed.). International encyclopedia of statistical science. 1st ed. Berlin: Springer. p. 1656-1658. https://doi.org/10.1007/978-3-642-04898-2_615.
Oliveira, C.A. 2017. Heterogeneidade espacial do substrato plataformal adjacente a Ponta Negra, Natal-RN. Natal. 110f. (Master’s Dissertation. Programa de Pós-graduação em Geodiní¢mica e Geofísica, UFRN - PPGG/UFRN). Available at: <https://repositorio.ufrn.br/jspui/bitstream/123456789/23555/1/CeciliaAlvesDeOliveira_DISSERT.pdf>. Accessed: Feb. 22, 2021.
Pauly, D. 1980. On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks. Journal du Conseil, 39(2): 175-192. https://doi.org/10.1093/icesjms/39.2.175.
Perez, J.A.A. 1999. Padronização do esforço da pesca de arrasto em Santa Catarina: o caso da pesca da lula, Loligo plei. Notas Técnicas da FACIMAR, 3: 47-56. https://doi.org/10.14210/bjast.v3n1.p47-56.
Perez, E.E.P.; Defeo, O. 2005. Estimation of catchability for the Heterocarpus reedi and Cervimunida johni fisheries in northern Chile, using different catch per unit of area estimators. Interciencia, 30(1): 19-23.
Petrere-Junior, M.; Giacomini, H.C.; De Marco-Junior, P. 2010. Catch-per-unit-effort: which estimator is best? Brazilian Journal of Biology, 70(3): 483-491. https://doi.org/10.1590/S1519-69842010005000010.
Pezzuto, P.R.; Alvarez-Perez, J.A.; Wahrlich, R. 2008. The use of the swept area method for assessing the seabob shrimp Xiphopenaeus kroyeri (Heller, 1862) biomass and removal rates based on artisanal fishery-derived data in southern Brazil: using depletion models to reduce uncertainty. Latin American Journal of Aquatic Research, 36(2): 245-257.
Quirijns, F.J.; Poos, J.J.; Rijnsdorp, A.D. 2008. Standardizing commercial CPUE data in monitoring stock dynamics: accounting for targeting behaviour in mixed fisheries. Fisheries Research, 89(1): 1-8. https://doi.org/10.1016/j.fishres.2007.08.016.
R Development Core Team. 2020. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Available at: <http://www.R-project.org/>. Accessed: Dec. 28, 2020.
Rose, G.A.; Kulka, D.W. 1999. Hyperaggregation of fish and fisheries: how catch-per-unit-effort increased as the northern cod (Gadus morhua) declined. Canadian Journal of Fisheries and Aquatic Sciences, 56(S1): 118-127. https://doi.org/10.1139/f99-207.
Rijnsdorp, A.D.; Dekker, W.; Daan, N. 2006. Partial fishing mortality per fishing trip: a useful indicator for effective fishing effort in management of mixed demersal fisheries. ICES Journal of Marine Science, 63(3): 556-566. https://doi.org/10.1016/j.icesjms.2005.10.003.
Salthaug, A. 2001. Adjustment of commercial trawling effort for Atlantic cod, Gadus morhua, due to increasing catching efficiency. Fish Bulletin, 99(2): 338-342.
Selvam, K.; Xavier, K.A.M.; Shivakrishna, A.; Bhutia, T.P.; Kamat, S.; Shenoy, L. 2021. Abundance, composition and sources of marine debris trawled-up in the fishing grounds along the north-east Arabian coast. The Science of the Total Environment, 751: 141771. https://doi.org/10.1016/j.scitotenv.2020.141771.
Silva-Júnior, C.A.B.; Lira, A.S.; Eduardo, L.N.; Viana, A.P.; Lucena-Frédou, F.; Frédou, T. 2019. Ichthyofauna bycatch of the artisanal fishery of penaeid shrimps in Pernambuco, northeastern Brazil. Boletim do Instituto de Pesca, 45(1): e435. https://doi.org/10.20950/1678-2305.2019.45.1.435.
Shapiro, S.S.; Wilk, M.B. 1965. An analysis of variance test for normality (complete samples). Biometrika, 52(3-4): 591-611. https://doi.org/10.2307/2333709.
Sparre, P.; Venema, S.C. 1992. Introduction to Tropical Fish Stock Assessment. Part 1. Manual. Review 1. Rome: FAO. v. 306, n. 1, 376p. (FAO Fisheries Technical Paper).
Spearman, C. 1904. The proof and measurement of association between two things. The American Journal of Psychology, 15(1): 72-101. https://doi.org/10.2307/1412159.
Valentini, H.; D’Incao, F.; Rodrigues, L.F.; Dumont, L.F. 2012. Evolução da pescaria industrial de camarão-rosa (Farfantepenaeus brasiliensis e F. paulensis) na costa sudeste e sul do Brasil í 1968-1989. Atlí¢ntica, 34(2): 157-171.
Vital, H.; Silveira, I.M.; Tabosa, W.F.; Lima, Z.M.C.; Lima-Filho, F.P.; Souza, F.E.S.; Chaves, M.S.; Pimenta, F.M.; Gomes, M.P. 2016. Beaches of Rio Grande do Norte. In: Short, A.D.; Klein, H.F. (eds.). Brazilian beach systems. Switzerland: Springer. v. 17, p. 201-229. (Coastal Research Library). https://doi.org/10.1007/978-3-319-30394-9.
Walker, N.D.; Maxwell, D.L.; Quesne, W.F.L.; Jennings, S. 2017. Estimating efficiency of survey and commercial trawl gears from comparisons of catch-ratios. ICES Journal of Marine Science, 74(5): 1448-1457. https://doi.org/10.1093/icesjms/fsw250.
Yesaki, M. 1974. Os recursos de peixes de arrasto ao largo da costa do Brasil. Rio de Janeiro: PDP/SUDEPE. v. 8, p. 1-47. (Série Documentos Técnicos).
Zar, J.H. 2010. Biostatistical analysis. 5th ed. Upper Saddle River: Pearson Prentice-Hall. 944p.
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2021-12-17
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