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Effects of environmental factors on ichthyoplankton in a permanently open estuary under the influence of a semi-arid climate, north-eastern Brazil

Published online by Cambridge University Press:  20 July 2022

Lidiane Gomes de Lima
Affiliation:
Laboratório de Ecologia de Peixes, Universidade Federal Rural do Rio de Janeiro, 23897-030 Seropédica, Rio de Janeiro, Brazil
Gitá Juan Soterorudá Brito
Affiliation:
Laboratório de Ecologia de Peixes, Departamento de Ciências Biológicas, Universidade Estadual da Paraíba, 58429-500 Campina Grande, PB, Brazil
André Luiz Machado Pessanha*
Affiliation:
Laboratório de Ecologia de Peixes, Departamento de Ciências Biológicas, Universidade Estadual da Paraíba, 58429-500 Campina Grande, PB, Brazil
*
Author for correspondence: André Luiz Machado Pessanha, E-mail: andrepessanhauepb@gmail.com

Abstract

Estuarine ecosystem conditions actively influence the early life stage of fishes. This study reports how environmental factors influenced the ichthyoplankton in a tropical estuary within an Environmental Protection Area by comparing the structure and composition of fish eggs and larval assemblages. A total of 1672 fish larvae and 486 fish eggs were collected. Higher densities of larvae were recorded for Engraulidae, Characidae, Clupeidae, Gerreidae, Mugilidae and Atherinopsidae, and higher egg densities of the families Mugilidae, Clupeidae and Engraulidae were found. The spatio-temporal variations were determined by the environmental predictors salinity, pH, dissolved oxygen and temperature, with salinity influenced by precipitation as one of the main predictors of the distribution of ichthyoplankton. During the rainy season, greater densities of eggs were recorded in the upper and intermediate zones, mainly Characidae and Engraulidae; in the dry season, in the lower zone, there was a greater density of larvae, particularly Atherinopsidae and Mugilidae. The information provided in the present study contributes to our knowledge of nursery habitat requirements for the initial development of marine migrant and resident species in tropical estuaries.

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of Marine Biological Association of the United Kingdom

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References

AESA – Agência Executiva de Gestão das Águas do Estado da Paraíba (2016) Climatologia da precipitação anual acumulada (mm) – ano 2016. Available at http://site2.aesa.pb.gov.br/aesa/jsp/monitoramento/chuvas/climatologias.Google Scholar
Agostinho, AA, Gomes, LC, Veríssimo, S and Okada, EK (2004) Flood regime, dam regulation and fish in the Upper Paraná River: effects on assemblage attributes, reproduction and recruitment. Reviews in Fish Biology and Fisheries 14, 1119.CrossRefGoogle Scholar
Alvares, CA, Stape, JL, Sentelhas, PC, Gonçalves, JLM and Sparovek, G (2013) Koppen's climate classification map for Brazil. Meteorologische Zeitschrift 22, 711728.CrossRefGoogle Scholar
Anderson, MJ, Gorley, RN and Clarke, KR (2008) PERMANOVA+for PRIMER: Guide to Software and Statistical Methods. Plymouth: PRIMER–E.Google Scholar
Barletta, M, Saint-Paul, U, Barletta-Bergan, A, Ekau, W and Schories, D (2002) Spatial and temporal distribution of Myrophis punctatus (Ophichthidae) and associated fish fauna in a northern Brazilian intertidal mangrove forest. Hydrobiologia 426, 6474.Google Scholar
Barletta, M, Barletta-Bergan, A, Saint-Paul, U and Hubold, G (2003) Seasonal changes in density, biomass, and diversity of estuarine fishes in tidal mangrove creeks of the lower Caeté Estuary (Northern Brazilian coast, East Amazon). Marine Ecology Progress Series 256, 217228.CrossRefGoogle Scholar
Barletta, M, Barletta-Bergan, A, Saint-Paul, U and Hubold, G (2005) The role of salinity in structuring the fish assemblages in a tropical estuary. Journal of Fish Biology 66, 4572.CrossRefGoogle Scholar
Blaber, SJM (2002) ‘Fish in hot water’: the challenges facing fish and fisheries research in tropical estuaries. Journal of Fish Biology 61, 120.Google Scholar
Bonecker, ACT, Castro, MS, Namiki, CAP, Bonecker, FT and Barros, FBAG (2007) Larval fish composition of a tropical estuary in northern Brazil (2°18′–2°47′S/044°20′–044°25′W) during the dry season. Pan-American Journal of Aquatic Sciences 2, 235241.Google Scholar
Camargo, M and Isaac, V (2001) Os peixes estuarinos da região norte do Brasil: lista de espécies e considerações sobre sua distribuição geográfica. Boletim do Museu Paraense Emílio Goeldi 17, 133157.Google Scholar
Cattani, AP, Jorge, FGD, Ribeiro, GC, Wedekin, LL, Lopes, PCAS, Rupil, GM and Spach, HL (2016) Fish assemblages in a coastal bay adjacent to a network of marine protected areas in southern Brazil. Brazilian Journal of Oceanography 64, 295308.CrossRefGoogle Scholar
Cavalcante, H, Araújo, F and Becker, V (2018) Phosphorus dynamics in the water of tropical semiarid reservoirs in a prolonged drought period. Acta Limnologica Brasiliensia 30, 619620.CrossRefGoogle Scholar
Clarke, KR (1993) Non-parametric multivariate analysis of changes in community structure. Australian Journal of Ecology 18, 117143.CrossRefGoogle Scholar
Fahay, MP (1983) Guide to the early stages of marine fishes occurring in the western North Atlantic Ocean, Cape Hattaras to the southern Scotian Shelf. Journal of Northwest Atlantic Fishery Science 4, e1423.CrossRefGoogle Scholar
Figueiredo, JL and Menezes, NA (1978) Manual de peixes marinhos do Sudeste do Brasil. II Teleostei, 1. São Paulo: Museu de Zoologia, Universidade de São Paulo.Google Scholar
Figueiredo, GGAA and Pessanha, ALM (2015) Comparative study of trophic organization of juvenile fish assemblages of three tidal creeks in a tropical semi-arid estuary. Journal of Fish Biology 89, 680695.CrossRefGoogle Scholar
Gotelli, NJ, Gravesb, GR and Rahbek, C (2010) Macroecological signals of species interactions in the Danish avifauna. Proceedings of the National Academy of Sciences USA 107, 50305035.CrossRefGoogle ScholarPubMed
Harris, SA, Cyrus, DP and Beckley, LE (2001) Horizontal trends in larval fish diversity and abundance along an ocean-estuarine gradient on the Northern KwaZulu-Natal Coast, South Africa. Estuarine, Coastal and Shelf Science 53, 221235.CrossRefGoogle Scholar
Henriques, S, Cardoso, P, Cardoso, I, Laborde, M, Cabral, HN and Vasconcelos, RP (2017) Processes underpinning fish species composition patterns in estuarine ecosystems worldwide. Journal of Biogeography 44, 627639.CrossRefGoogle Scholar
Houseman, GR and Gross, KL (2006) Does ecological filtering across a productivity gradient explain variation in species pool-richness relationships? Oikos 115, 148154.CrossRefGoogle Scholar
Hsieh, HY, Lo, WT, Liu, DC and Su, WC (2010) Influence of hydrographic features on larval fish distribution during the south-westerly monsoon in the waters of Taiwan, western North Pacific Ocean. Journal of Fish Biology 7, 25212539.CrossRefGoogle Scholar
Islam, MDS, Hibino, M and Tanaka, M (2006) Distribution and diets of larval and juvenile fishes: influence of salinity gradient and turbidity maximum in a temperate estuary in upper Ariake Bay, Japan. Estuarine, Coastal and Shelf Science 68, 6274.CrossRefGoogle Scholar
Kendall, AW Jr, Ahlstrom, EH and Moser, HG (1984) Early life history of fishes and their characters. In Ontogeny and Systematics of Fishes, Based on an International Symposium Dedicated to the Memory of E.H. Ahlstrom, 15–18 August 1983, La Jolla, California. Special Publication of the American Society of Icthyologists and Herpetologists 1, 1122.Google Scholar
Kimmerer, WJ (2002) Effects of freshwater flow on abundance of estuarine organisms: physical effects or trophic linkages? Marine Ecology Progress Series 243, 3955.CrossRefGoogle Scholar
Kraft, NJB, Adler, PB, Godoy, O, James, EC, Fuller, S and Levine, JM (2015) Community assembly, coexistence and environmental filtering metaphor. Functional Ecology 29, 592599.CrossRefGoogle Scholar
Legendre, P and Anderson, MJ (1999) Distance-based redundancy analysis: testing multispecies responses in multifactorial ecological experiments. Ecological Monographs 69, 124.CrossRefGoogle Scholar
Lima, ARA, Barletta, M and Costa, MF (2015) Seasonal distribution and interactions between plankton and microplastics in a tropical estuary. Estuarine, Costal and Self Science 165, 213225.CrossRefGoogle Scholar
Lima, CSS, Badu, MLAS and Pessanha, ALM (2020) Response of estuarine fish assemblages to an atypical climatic event in northeastern Brazil. Regional Studies in Marine Science 35, e101121.CrossRefGoogle Scholar
Macedo, MJH, Guedes, RVS, Souza, FSA and Dantas, FRC (2010) Análise do índice padronizado de precipitação para o estado da Paraíba, Brasil. Revista Ambiente e Água – An Interdisciplinary Journal of Applied Science 5, 201214.Google Scholar
Machado, I, Calliari, D, Denicola, A and Rodríguez-Grãna, L (2017) Coupling suitable prey field to in situ fish larval condition and abundance in a subtropical estuary. Estuarine, Coastal and Shelf Science 187, 3142.CrossRefGoogle Scholar
Maci, S and Basset, A (2009) Composition, structural characteristics and temporal patterns of fish assemblages in non-tidal Mediterranean lagoons: a case study. Estuarine, Coastal and Shelf Science 83, 602612.CrossRefGoogle Scholar
McArdle, BH and Anderson, MJ (2001) Fitting multivariate models to community dada: a comment on distance-based redundancy analysis. Ecology 82, 290297.CrossRefGoogle Scholar
Moura, GC, Barbosa, JEL, Patrício, J, Neryd, JF and Gonçalves, AMM (2016) Seasonal and spatial shifts in copepod diets within tropical estuaries measured by fatty acid profiles. Ecological Indicators 69, 284294.CrossRefGoogle Scholar
Nobrega, RRA and Nishida, AK (2003) Aspectos socioeconômicos e percepção ambiental dos catadores de caranguejo-uçá Ucides cordatus cordatus (L. 1763) (Decapoda, Brachyura) do estuário do rio Mamanguape, nordeste do Brasil. Interciencia 28, 3643.Google Scholar
Oliveira-Silva, L, Ramos, TPA, Carvalho-Rocha, YGP, Viana, KMP, Avelar, RC and Ramos, RTC (2018) Ichthyofauna of the Mamanguape river basin, Northeastern Brazil. Biota Neotropica 18, 111.CrossRefGoogle Scholar
Pringle, C (2003) What is hydrologic connectivity and why is it ecologically important? Hydrological Process 17, 26852689.CrossRefGoogle Scholar
Rakocinski, CF, Lyczkowski-Shultz, J and Richardson, LS (2019) Ichthyoplankton assemblage structure in Mississippi sound as revealed by canonical correspondence analysis. Estuarine, Coastal and Shelf Science 43, 237257.CrossRefGoogle Scholar
Ramos, S, Cowen, RK and Borda, PRA (2006) Temporal and spatial distributions of larval fish assemblages in the Lima (Portugal). Estuarine, Coastal and Shelf Science 66, 303314.CrossRefGoogle Scholar
Richards, WJ (2006) Early Stages of Atlantic Fishes: An Identification Guide for the Western Central North Atlantic. Boca Raton, FL: CRC Press.Google Scholar
Riesch, R, Plath, M and Bierbach, D (2018) Ecology and evolution along environmental gradients. Current Zoology 64, 193196.CrossRefGoogle ScholarPubMed
Rosa, JCL, Alberto, MD, Ribas, WMM, Neves, MHCB and Fernandes, LDA (2016) Spatial variability in the ichthyoplankton structure of a subtropical hypersaline lagoon. Brazilian Journal of Oceanography 64, 149156.CrossRefGoogle Scholar
Santos, RVS, Ramos, S and Bonecker, ACT (2017) Environmental control on larval stages of fish subject to specific salinity range in tropical estuaries. Regional Studies in Marine Science 13, 4253.CrossRefGoogle Scholar
Shepherd, TD and Litvak, MK (2004) Density-dependent habitat selection and the ideal free distribution in marine fish spatial dynamics: considerations and cautions. Fish and Fisheries 5, 141152.CrossRefGoogle Scholar
Suzuki, KW, Kanematsu, Y, Nakayama, K and Tanara, M (2013) Microdistribution and feeding dynamics of Coilia nasus (Engraulidae) larvae and juveniles in relation to the estuarine turbidity maximum of the macrotidal Chikugo River estuary, Ariake Sea, Japan. Fisheries Oceanography 23, 157171.CrossRefGoogle Scholar
Teichert, N, Lapage, M, Chevillot, X and Lobry, J (2017) Environmental drivers of taxonomic, functional and phylogenetic diversity (alpha, beta and gamma components) in estuarine fish communities. Journal of Biogeography 45, 406417.CrossRefGoogle Scholar
The R Development Core Team (2009) R: A Language and Environment for Statistical Computing. R. Vienna: Foundation for Statistical Computing. Available at http://www.R-project.org.Google Scholar
Thioulouse, J, Chessel, D, Doleâdec, S and Olivier, J (1997) ADE-4: a multivariate analysis and graphical display software. Statistics and Computing 7, 7583.CrossRefGoogle Scholar
Vasconcelos, RP, Henriques, S, França, S, Pasquaud, S, Cardoso, I, Laborde, M and Cabral, HC (2015) Global patterns and predictors of fish species richness in estuaries. Journal of Animal Ecology 84, 13311341.CrossRefGoogle ScholarPubMed
West, JR, Oduyemi, KOK and Shiono, K (1991) Some observations on the eVect of vertical density gradients on estuarine turbulent transport processes. Estuarine, Coastal and Shelf Science 32, 365383.CrossRefGoogle Scholar
Wetzel, RG and Likens, GE (1991) Limnological Analyses. New York, NY: Springer-Verlag.CrossRefGoogle Scholar
Zhang, H, Xian, W and Liu, S (2019) Seasonal variations of the ichthyoplankton assemblage in the Yangtze Estuary and its relationship with environmental factors. PeerJ 7, e6482.CrossRefGoogle ScholarPubMed