Exploring local and species contributions to beta diversity in a bay fish community: A baseline assessment of the Ubatumirim Bay
DOI:
https://doi.org/10.1590/Keywords:
Spatial scale, Environmental filtering, Assemblage vulnerability, Marine Protected Area, Couves IslandAbstract
The organization of fish communities into habitat use groups facilitates a replicable understanding of species
distribution due to the distinctive characteristics and ecological roles of these groups. Partitioning beta diversity
and assessing both species contribution to beta diversity (SCBD) and local contribution to beta diversity (LCBD)
can evaluate the ecological importance of each group and measure the uniqueness of each site. This study aimed
to comprehend how different habitat groups within the marine fish assemblage in the Ubatumirim Bay contribute
to beta diversity and to correlate the uniqueness of each sampling site to their attributes to better understand the
importance of habitat use groups and the community composition variation in the bay. We sampled ichthyofauna at
six locations within the bay, employing a shrimp trawl net at varying depths. We categorized the 95 identified species
into five distinct habitat groups: reef-associated, pelagic-neritic, demersal, benthopelagic, and pelagic-oceanic,
each with different ecological characteristics and preferences. However, no significant differences were detected
in SCBD among these groups. An increase in LCBD values was observed with the decrease in mean sediment
diameter, indicating a higher environmental complexity, possibly acting as an environmental filter. One of the
sampled sites, Couves Island, stood out with a significantly higher LCBD value, which underscores the importance
of such diverse environments in maintaining regional biodiversity. These findings can serve as a valuable
baseline reference in conservation planning and management, particularly in assessing the effectiveness of the
recently established Marine Environment Protection Area. For instance, comparing the current observations with
future surveys could quantify the impact of this protection initiative, thus providing evidence of management
efficacy and showing the potential effects of impacts (such as predatory tourism) in the Ubatumirim Bay area.
References
Araújo, F. G., De Azevedo, M. C. C., De Araújo Silva, M.,
Pessanha, A. L. M., Gomes, I. D. & Da Cruz-Filho, A. G.
Environmental influences on the demersal fish
assemblages in the Sepetiba Bay, Brazil. Estuaries, 25,
–450. DOI: https://doi.org/10.1007/BF02695986
Baselga, A. 2010. Partitioning the turnover and nestedness
components of beta diversity. Global Ecology and
Biogeography, 19(1), 134–143. DOI: https://doi.org/
1111/j.1466-8238.2009.00490.x
Benoit, D. M., Jackson, D. A. & Chu, C. 2021. Partitioning
fish communities into guilds for ecological analyses:
an overview of current approaches and future
directions. Canadian Journal of Fisheries and Aquatic
Sciences, 78(7), 984–993. DOI: https://doi.org/10.1139/
cjfas-2020-045
Camara, E. M., De Andrade-Tubino, M. F., Franco, T. P.,
Neves, L. M., Dos Santos, L. N., Dos Santos, A. F.
G. N. & Araújo, F. G. 2023. Temporal dimensions of
taxonomic and functional fish beta diversity:
scaling environmental drivers in tropical transitional
ecosystems. Hydrobiologia, 850, 1911–1940.
DOI:10.1007/s10750-023-05202-w
Cervigón, F., Cipriani, R., Fischer, W., Garibaldi, L.,
Hendrickx, M., Lemus, A. J., Márquez, R., Poutiers, J. M.,
Robaina, G. & Rodriguez, B. 1992. Guía de campo de
las especies comerciales marinas y de aquas salobres
de la costa septentrional de Sur América. Roma, FAO.
Cionek, V. M., Rodrigues-Filho, J. L., Petsch, D. K. &
Branco, J. O. 2022. Ecological uniqueness and
species contribution to beta diversity differ between
fishes and crustaceans’ bycatch in subtropical shallow
marine ecosystems. Aquatic Sciences, 84(41).
DOI: https://doi.org/10.1007/s00027-022-00872-5
Dray, S., Bauman, D., Blanchet, G., Borcard, D.,
Clappe, S., Guenard, G., Jombart, T., Larocque, G.,
Legendre, P., Madi, N., Wagner, H. H. & Siberchicot, A.
adespatial: Multivariate Multiscale Spatial
Analysis. Available from: https://CRAN.R-project.org/
package=adespatial. Access date: 2022 May 20.
Froese, R. & Pauly, D. (Eds.) 2000. FishBase 2000: concepts,
design and data sources. Los Baños, ICLARM.
Håkanson, L. & Jansson, M. 1983. Principles of lake
sedimentology. Berlin, Springer.
Heino, J. & Grönroos, M. 2017. Exploring species
and site contributions to beta diversity in stream
insect assemblages. Oecologia, 183(1), 151–160.
DOI: https://doi.org/10.1007/s00442-016-3754-7
Hill, M. J., White, J. C., Biggs, J., Briers, R. A., Gledhill, D.,
Ledger, M. E., Thornhill, I., Wood, J. P. & Hassall, C.
Local contributions to beta diversity in urban pond
networks: Implications for biodiversity conservation
and management. Diversity and Distributions, 27(5),
–900. DOI: https://doi.org/10.1111/ddi.13239
Honda, K., Nakamura, Y., Nakaoka, M., Uy, W. H. &
Fortes, M. D. 2013. Habitat Use by Fishes in Coral
Reefs, Seagrass Beds and Mangrove Habitats in
the Philippines. PLoS ONE, 8(8), e65735. DOI:
https://doi.org/10.1371/journal.pone.0065735
Jost, L. 2007. Partitioning diversity into independent
alpha and beta components. Ecology, 88(10),
–2439. DOI: https://doi.org/10.1890/06-1736.1
Kong, H., Chevalier, M., Laffaille, P. & Lek, S. 2017. Spatiotemporal variation of fish taxonomic composition in
a South-East Asian flood-pulse system. PLoS ONE,
(3), e0174582. DOI: https://doi.org/10.1371/journal.
pone.0174582
Korňan, M. & Kropil, R. 2014. What are ecological guilds?
Dilemma of guild concepts. Russian Journal of
Ecology, 45(5), 445–447. DOI: https://doi.org/10.1134/
S1067413614050178
Ubatumirim Bay fish beta diversity
Ocean and Coastal Research 2024, v72:e24054 11
Costa et al.
Krause, J., Ruxton, G. D. & Krause, S. 2010. Swarm
intelligence in animals and humans. Trends
in Ecology and Evolution, 25(1), 28–34. DOI:
https://doi.org/10.1016/j.tree.2009.06.016
Laliberté, E. & Legendre, P. 2010. A distance-based
framework for measuring functional diversity from
multiple traits. Ecology, 91(1), 299–305. DOI:
https://doi.org/10.1890/08-2244.1
Laliberté, E., Legendre, P. & Shipley, B. 2014. Measuring
functional diversity from multiple traits, and other tools
for functional ecology. R package version 1.0-12.1.
Legendre, P. & De Cáceres, M. 2013. Beta diversity as the
variance of community data: dissimilarity coefficients
and partitioning. Ecology Letters, 16(8), 951–963.
DOI: https://doi.org/10.1111/ele.12141
Legendre, P. 2014. Interpreting the replacement and
richness difference components of beta diversity.
Global Ecology and Biogeography, 23(11), 1324–1334.
DOI: https://doi.org/10.1111/geb.12207
Lopes, P. M., Bini, L. M., Declerck, S. A. J., Farjalla, V. F.,
Vieira, L. C. G., Bonecker, C. C., Lansac-Toha, F. B.,
Esteves, F. A. & Bozelli, R. L. 2014. Correlates of
zooplankton beta diversity in tropical lake systems. PLoS
ONE, 9(10), e:109581. DOI: https://doi.org/10.1371/
journal.pone.0109581
Lowe-Mcconnell, R. H. 1987. Ecological Studies in Tropical
Fish Communities. Ecological Studies in Tropical Fish
Communities. Cambridge, Cambridge University Press.
DOI: https://doi.org/10.1017/CBO9780511721892
Malaterre, C., Dussault, A. C., Rousseau-Mermans, S.,
Barker, G., Beisner, B. E., Bouchard, F.,
Desjardins, E., Handa, I. T., Kembel, S. W., Lajoei, G.,
Maris, V., Munson, A. D., Odenbaugh, J., Poisot, T.,
Shapiro, B. J. & Suttle, C. A. 2019. Functional Diversity:
An Epistemic Roadmap. BioScience, 69(10), 800–811.
DOI: https://doi.org/10.1093/biosci/biz089
Menezes, N. A. & Figueiredo, J. L. 1978. Manual de
peixes marinhos do sudeste do Brasil. II, Teleostei. (1).
So Paulo, Museu De Zoologia da Universidade de
So Paulo.
Menezes, N. A. & Figueiredo, J. L. 1980. Manual de peixes
marinhos do sudeste do Brasil. Teleostei (3). So Paulo,
Museu De Zoologia da Universidade de So Paulo.
Menezes, N. A. & Figueiredo, J. L. 1985. Manual de peixes
marinhos do sudeste do Brasil. Teleostei (4). So Paulo,
Museu De Zoologia da Universidade de So Paulo.
Munsch, S. H., Cordell, J. R. & Toft, J. D. 2016. Finescale habitat use and behavior of a nearshore
fish community: Nursery functions, predation
avoidance, and spatiotemporal habitat partitioning.
Marine Ecology Progress Series, 557, 1–15. DOI:
https://doi.org/10.3354/meps11862
Peláez, O. E., Azevedo, F. M. & Pavanelli, C. S. 2017.
Environmental heterogeneity explains species turnover
but not nestedness in fish assemblages of a Neotropical
basin. Acta Limnologica Brasiliensia, 29, e117.
DOI: http://dx.doi.org/10.1590/S2179-975X8616
Poletto, C. R. B. & Batista, G. T. 2008. Sensibilidade
ambiental das ilhas costeiras de Ubatuba, SP, Brasil.
Revista Ambiente e Agua – An Interdisciplinary
Journal of Applied Science, 3(2), 106–121. DOI:
https://doi.org/10.4136/ambi-agua.56
Pombo, M., Denadai, M. R., Santos, F. B., Bessa, E.,
Moraes, C. & Turra, A. 2013. Population biology
of the barbel drum Ctenosciaena gracilicirrhus
(Metzelaar, 1919) (Perciformes: Sciaenidae) in
Caraguatatuba bay, Southeastern Brazil. Brazilian
Journal of Oceanography, 61(3), 169–175.
Qiao, X., Li, Q., Jiang, Q., Lu, J., Franklin, S., Tang, Z.,
Wang, Q., Zhang, J., Lu, Z., Bao, D., Guo, Y., Liu, H.,
Xu, Y. & Jiang, M. 2015. Beta diversity determinants
in Badagongshan, a subtropical forest in central
China. Scientific Reports, 5, 17043. DOI:
https://doi.org/10.1038/srep17043
R Core Team. 2022. R: A language and environment
for statistical computing. Vienna, R Foundation for
Statistical Computing.
Robert, M. C., Michels-Souza, M. A. & Chaves, P. T. 2007.
Biologia de Paralonchurus brasiliensis (Steindachner)
(Teleostei, Sciaenidae) no litoral sul do estado
do Paraná, Brasil. Revista Brasileira de Zoologia,
(1), 191–198. DOI: https://doi.org/10.1590/S0101-
Rolim, F. A.; Rodrigues, P. F. C. & Gadig, O. B. F. 2017.
Peixes de Recife Rochoso: Estação Ecológica de
Tupinambás – São Paulo. São Paulo, Anolis Books
Santos, F., Lima, M. G. M., Espinosa, S.,
Ahumada, J. A., Jansen, P. A., Spironello, W. R.,
Hurtado, J., Juen, L. & Peres, C. A. 2021. Site and
species contribution to β-diversity in terrestrial mammal
communities: Evidence from multiple Neotropical forest
sites. Science of the Total Environment, 789, 147946.
DOI: https://doi.org/,10.1016/j.scitotenv.2021.147946
Silva, P. G., Hernández, M. I. M. & Heino, J. 2018.
Disentangling the correlates of species and site
contributions to beta diversity in dung beetle
assemblages. Diversity and Distributions, 24(11),
–1686. DOI: https://doi.org/10.1111/ddi.12785
Simberloff, D. & Dayan, T. 1991. The guild concept and the
structure of ecological communities. Annual Review of
Ecology, Evolution and Systematics, 22, 115–143. DOI:
https://doi.org/10.1146/annurev.es.22.110191.000555
Soares, L. S. & Vazzoler, A. E. 2001. Diel changes in food
and feeding activity of sciaenid fishes from the Southwestern Atlantic, Brazil. Brazilian Journal of Biology,
(2), 197–216. DOI: https://doi.org/10.1590/s0034-
Socolar, J. B., Gilroy, J. J., Kunin, W. E. & Edwards, D. P.
How Should Beta-Diversity Inform Biodiversity
Conservation? Trends in Ecology and Evolution, 31(1),
–80. DOI: https://doi.org/10.1016/j.tree.2015.11.005
Souza, U. P., Da Costa, R. C., Martins, I. A. & Fransozo,
A. 2008. Associações entre as biomassas de peixes
Sciaenidae (Teleostei: Perciformes) e de camarões
Penaeoidea (Decapoda: Dendrobranchiata) no litoral
norte do Estado de São Paulo. Biota Neotropica,
(1), 83–92.
Tan, L., Fan, C., Zhang, C. & Zhao, X. 2019. Understanding
and protecting forest biodiversity in relation to species
and local contributions to beta diversity. European
Journal of Forest Research, 138(6), 1005–1013.
DOI: http://doi.org/10.1007/s10342-019-01220-3
Tucker, M. 1988. Techniques in Sedimentology. London,
Blackwell Scientific Publications.
Ubatumirim Bay fish beta diversity
Ocean and Coastal Research 2024, v72:e24054 12
Costa et al.
Vieira, L. S., Lupinacci, V. B. T., Dos Santos, L. F. L. O.,
Arlé, E. & Fortes, R. R. 2021. Patterns of reef fish
assemblage distribution on a Brazilian subtropical
rocky shore: an approach to benthic association.
Pesquisa e Ensino Em Ciências Exatas e da Natureza,
, e1638. DOI: https://doi.org/https://doi.org/10.29215/
pecen.v5i0.1638
Vilmi, A., Karjalainen, S. M. & Heino, J. 2017. Ecological
uniqueness of stream and lake diatom communities
shows different macroecological patterns. Diversity
and Distributions, 23(9), 1042–1053. DOI:
https://doi.org/10.1111/ddi.12594
Wilson, J. B. 1999. Guilds, Functional Types and Ecological
Groups. Oikos, 86(3), 507.
Xia, Z., Heino, J., Yu, F., He, Y., Liu, F. & Wang, J. 2022.
Spatial patterns of site and species contributions to
β diversity in riverine fish assemblages. Ecological
Indicators, 145. DOI: https://doi.org/10.1016/
j.ecolind.2022.109728
Downloads
Published
Issue
Section
License
Ocean and Coastal Research is an open-access journal available through SciELO (Scientific Electronic Library Online).
Ocean and Coastal Research journal title abbreviation is Ocean Coast. Res. and should be used in footnotes, references, and bibliographic entries.
All Ocean and Coastal Research scientific articles are freely available without charge to the user or institution. In accordance with the BOAI definition of open access, all contents are available to readers free of charge. Users may read, download, copy, and link to the full texts of the articles. They may be used for any lawful purpose without prior authorization from the publisher or the author, as long as proper credit is given to the original publication.
All Ocean and Coastal Research published scientific articles receive an individual Digital Object Identifier (DOI) persistent digital document identification.
All the content of the journal, except where otherwise noted, is licensed under a Creative Commons License type BY. Authors retain the copyright and full publishing rights without restrictions.
More information on intellectual property can be found here and on Scielo's Open Acess Statement.
Ocean and Coastal Research is listed in Publons and reviewers and editors can add their verified peer review and editing history to their Publons profile.
Ocean and Coastal Research is indexed in the Directory of Open Access Journals (DOAJ) and complies with principles of transparency and best practice for scholarly publications.
Ocean and Coastal Research is committed to the best standards in open-access publishing by adopting ethical and quality standards throughout the publishing process - from initial manuscript submission to the final article publication. This ensures authors that their work will have visibility, accessibility, reputation, usage, and impact in a sustainable model of scholarly publishing.
