Variabilidad en la distributión de la macrofauna a lo largo de una playa disipativa arenosa en espiral en Rio de Janeiro, Sudeste de Brasil
DOI:
https://doi.org/10.3989/scimar.04467.03APalabras clave:
facies de macrofauna, playas curvadas, meso-escala, intermareal, morfodinámica, gradientes físicosResumen
Las playas en espiral muestran gradientes físicos definidos a lo largo de su recorrido. En este trabajo se investiga la relación entre la distribución en la estructura de comunidades de la macrofauna de una playa y sus gradientes físicos mediante el estudio de 10 transectos. El análisis de componentes principales reveló un claro gradiente físico a lo largo de la playa. El análisis de redundancia mostró que el extremo protegido se caracterizó con tamaños de grano menor, mayor contenido de materia orgánica y uma mayor densidad de anélidos poliquetos. El extremo expuesto se caracterizó por arena gruesa, bajo contenido de materia orgánica y una alta densidad de crustáceos. El mejor ajuste para explicar el número de individuos en una muestra se relacionó con el tamaño del grano de arena y la pendiente de la playa. La variabilidad del poliqueto Scolelepis squamata se explicó mejor en base al tamaño de grano, la pendiente y la selección de su sedimento. Por su parte, el mejor modelo para explicar la variabilidad del cirolánido Excirolana armata solo incluyó la selección del sedimento. El gradiente físico en la textura del sedimento y la pendiente de la playa explicó más de la tercera parte de la variabilidad en la estructura comunitaria. A su vez, las variables físicas también se correlacionaron con la distribución de especies individuales de la macrofauna. El gradiente físico en las playas en espiral puede explicar la variabilidad de su macrofauna, incluso a mesoescala y en condiciones disipativas.
Descargas
Citas
Ansell A.D. 1983. The biology of the genus Donax. In: McLachlan A., Erasmus T. (eds) Proceedings of Sandy beaches as ecosystems (Port Elizabeth, South Africa), pp. 607-636. https://doi.org/10.1007/978-94-017-2938-3_46
Barboza R.B., Defeo O. 2015. Global diversity patterns in sandy beach macrofauna: a biogeographic analysis. Sci. Rep. 5: 14515. https://doi.org/10.1038/srep14515 PMid:26411697 PMCid:PMC4585946
Barboza C.A.M., Martins C.C., Lana P. 2015. Dissecting the distribution of brittle stars along a sewage pollution gradient indicated by organic markers. Mar. Pollut. Bull. 100: 438-444. https://doi.org/10.1016/j.marpolbul.2015.08.008 PMid:26323862
Barton K. 2014. MuMIn: Multi-ModelInference. R Package Version 1.10.0.
Brazeiro A., 1999. Community patterns in sandy beaches of Chile: richness, composition, distribution and abundance of species. Rev. Chil. Hist. Nat. 72: 93-105.
Brazeiro A. 2001. Relationship between species richness and morphodynamics in sandy beaches: what are the underlying factors? Mar. Ecol. Prog. Ser. 224: 35-44. https://doi.org/10.3354/meps224035
Bremmer J.M. 1983. Properties of Logarithmic Spiral Beaches with Particular Reference to Algoa Bay. In: McLachlan A., Erasmus T. (eds) Proceedings of Sandy beaches as ecosystems (Port Elizabeth, South Africa), pp. 97-113. https://doi.org/10.1007/978-94-017-2938-3_6
Burnham K.P., Anderson D.R. 2002. Model Selection and Multimodel Inference: A Practice Information-Theoretic Approach. Springer, New York, 488 pp.
Cardoso S.R., Mattos G., Caetano C.H.S., et al. 2012. Effects of environmental gradients on sandy beach macrofauna of a semienclosed bay. Mar. Ecol. 33: 106-116. https://doi.org/10.1111/j.1439-0485.2011.00457.x
Chapman M.G., Tolhurst T.J., Murphy R.J., et al. 2010. Complex and inconsistent patterns of variation in benthos, micro-algae and sediment over multiple spatial scales. Mar. Ecol. Prog. Ser. 398: 33-47. https://doi.org/10.3354/meps08328
Coyle J.M., Dethier M.N. 2010. Review of shoreline armoring literature, In: Shipman H., Dethier M.N., Gelfenbaum G., et al. (eds). Puget Sound Shorelines and the Impacts of Armoring- Proceedings of a State of the Science Workshop (Richland, Washington), pp. 239-258.
Dahl E. 1952. Some aspects of the ecology and zonation of the fauna of sandy beaches. Oikos 4: 1-27. https://doi.org/10.2307/3565072
Dauer D.M. 1983. Functional morphology and feeding behavior of Scolelepis squamata (Polychaeta: Spionidae). Mar. Biol. 77: 279-285. https://doi.org/10.1007/BF00395817
Defeo O., de Alava A. 1995. Effects of human activities on long-term trends in sandy beach populations: the wedge clam Donax hanleyanus in Uruguay. Mar. Ecol. Prog. Ser. 123: 73-82. https://doi.org/10.3354/meps123073
Defeo O., McLachlan A. 2005. Patterns, process and regulatory mechanisms in sandy beach macrofauna: a multi-scale analysis. Mar. Ecol. Prog. Ser. 295: 1-20. https://doi.org/10.3354/meps295001
Defeo O., Rueda M. 2002. Spatial structure, sampling design and abundance estimates in sandy beach macroinfauna: some warnings and new perspectives. Mar. Biol. 140: 1215-1225. https://doi.org/10.1007/s00227-002-0783-z
Defeo O., Gómez J., Lercari D. 2001. Testing the swash exclusion hypothesis in sandy beach populations: the mole crab Emerita brasiliensis in Uruguay. Mar. Ecol. Prog. Ser. 212: 159-170. https://doi.org/10.3354/meps212159
Defeo O., Lercari D., Gómez J. 2003. The role of morphodynamics in structuring sandy beach populations and communities: what should be expected? J. Coast. Res. 59: 352-362.
Degraer S., Volckaert A., Vincx M. 2003. Macrobenthic zonation patterns along a morphodynamical continuum of macrotidal, low bar/rip and ultradissipative sandy beaches. Est. Coast Shelf Sci. 56: 459-468. https://doi.org/10.1016/S0272-7714(02)00195-6
Donn T.E. 1987. Longshore distribution of Donax serra in two log-spiral bays in the eastern Cape, South Africa. Mar. Ecol. Prog. Ser. 35: 217-222. https://doi.org/10.3354/meps035217
Dugan J.E., Hubbard D.M. 2010. Ecological effects of coastal ar moring: A summary of recent results for exposed sandy beaches in southern California. In: Shipman H., Dethier M.N., Gelfenbaum G., et al. (eds). Puget Sound Shorelines and the Impacts of Armoring. Proceedings of a State of the Science Workshop (Richland, Washington), pp. 187-194.
Emery K.O. 1961. A simple method of measuring beach profiles. Limnol. Oceanogr. 6: 90-93. https://doi.org/10.4319/lo.1961.6.1.0090
Fernandes R.S.R., Soares-Gomes A. 2006. Community structure of macrobenthos in two tropical sandy beaches with different morphodynamic features, Rio de Janeiro, Brazil. Mar. Ecol. 27: 160-169. https://doi.org/10.1111/j.1439-0485.2006.00093.x
Folk R.L., Ward W.C. 1957. Brazos river bar: a study in the significance of grain size parameters. J. Sediment Petrol 27: 3-26. https://doi.org/10.1306/74D70646-2B21-11D7-8648000102C1865D
Fragoso M. 1999. Estudo numérico da circulação marinha da região das Baías de Sepetiba e Ilha Grande (RJ). Master thesis. Universidade de São Paulo, 115 pp.
Gandara-Martins A.L., Borzone C.A., Guilherme P.D.B., et al. 2014. Spatial Effects of a Washout on Sandy Beach Macrofauna Zonation and Abundance. J. Coast. Res. 31: 1459-1468.
Giménez L., Yannicelli B. 2000. Longshore patterns of distribution of macroinfauna on a Uruguayan sandy beach: an analysis at different spatial scales and of their potential causes. Mar. Ecol. Prog. Ser. 199: 111-125. https://doi.org/10.3354/meps199111
Gray J.S. 1981. The ecology of marine sediments: an introduction to the structure and function of benthic communities. Cambridge University Press, Cambridge, 225 pp.
Gray J.S. 2002. Species richness of marine soft sediments. Mar. Ecol. Prog. Ser. 244: 285-297. https://doi.org/10.3354/meps244285
Harris L., Campbell E.E., Nel R., et al. 2014. Rich diversity, strong endemism, but poor protection: addressing the neglect of sandy beach ecosystems in coastal conservation planning. Divers. Distrib. 20: 1120-1135. https://doi.org/10.1111/ddi.12226
Jaramillo E., Lastra M. 2001. Suspension feeders on sandy beaches. In: Reise K. (ed.), Ecological Comparisons of Sedimentary Shores. Ecological Studies 151. Springer, pp. 61-72. https://doi.org/10.1007/978-3-642-56557-1_4
Lastra M., McLachlan A. 1996. Spatial and temporal variations in recruitment of Donax serra Röding (Bivalvia: Donacidae) on an exposed sandy beach of South Africa. Rev. Chil. Hist. Nat. 69: 631-639.
LeBlond P.H. 1979. An Explanation of the Logarithmic Spiral Plan Shape of Headland-Bay Beaches. J. Sed. Petrol. 49: 1093-1100.
Legendre P., Gallegher E.D. 2001. Ecologically meaningful transformations for ordination of species data. Oecologia 129: 271-280. https://doi.org/10.1007/s004420100716
Lercari D., Defeo O. 2003 Variation of a sandy beach macrobenthic community along a human-induced environmental gradient. Est. Coast. Shelf Sci. 58: 17-24. https://doi.org/10.1016/S0272-7714(03)00043-X
Lozoya J.P., Gómez J., Defeo O. 2010. Modelling large-scale effects of estuarine and morphodynamic gradients on distribution and abundance of the sandy beach isopod Excirolana armata. Est. Coast. Shelf Sci. 87: 472-478. https://doi.org/10.1016/j.ecss.2010.02.005
McLachlan A. 1983. Sandy beach ecology: a review. In: McLachlan A., Erasmus T. (eds) Proceedings of Sandy beaches as ecosystems (Port Elizabeth, South Africa), pp. 321-380. https://doi.org/10.1007/978-94-017-2938-3_25
McLachlan A. 1990. Dissipative beaches and macrofauna communities on exposed intertidal sands. J. Coast. Res. 6: 57-71.
McLachlan A. 1996. Physical factors in benthic ecology: effects of changing sand particle size on beach fauna. Mar. Ecol. Prog. Ser. 131: 205-217. https://doi.org/10.3354/meps131205
McLachlan A. 2001. Coastal beach ecosystems. In: Lewin R. (ed.), Encyclopedia of Biodiversity. Academic Press, pp. 741-751. https://doi.org/10.1016/B0-12-226865-2/00051-1
McLachlan A., Brown A.C. 2006. The Ecology of Sandy Shores. Academic Press, Burlington. 373 pp.
McLachlan A., Dorvlo A. 2005. Global patterns in sandy beach macrobenthic communities. J. Coast. Res. 21: 674-687. https://doi.org/10.2112/03-0114.1
McLachlan A., Hesp D. 1984. Faunal response to morphology and water circulation of a sandy beach with cusp. Mar. Ecol. Prog. Ser. 19: 133-144. https://doi.org/10.3354/meps019133
McLachlan A., Jaramillo E. 1995. Zonation on sandy beaches. Oceanogr. Mar. Biol. Ann. Rev. 33: 305-335.
Oksanen J., Blanchet F.G., Kindt R., et al. 2015. vegan: Community Ecology Package. R package version 2.3-0. http://CRAN.R-project.org/package=vegan
Petracco M., Cardoso R.S., Corbisier T.N. 2010. Population biology of Excirolana armata (Dana, 1853) (Isopoda, Cirolanidae) on an exposed sandy beach in Southeastern Brazil. Mar. Ecol. 31: 330-340. https://doi.org/10.1111/j.1439-0485.2009.00341.x
R Development Core Team, 2014. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
Rao C.R. 1964. The use and interpretation of principal component analysis in applied research. Sankhy?: Indian J. Stat. A 26: 329-358.
Rodil I.F., Compton T.J., Lastra M. 2012. Exploring Macroinvertebrate Species Distributions at Regional and Local Scales across a Sandy Beach Geographic Continuum. PLoS ONE 7: e39609. https://doi.org/10.1371/journal.pone.0039609 PMid:22761841 PMCid:PMC3382464
Salvat B. 1964. Les conditions hydrodynamics interstitielles des sediments meubles intertidaux et la repartition de la fauna endogee. C. R. Acad. Sci. 259: 1576-1579.
Schoeman D.S., Richardson A.J. 2002. Investigating biotic and abiotic factors affecting recruitment of an intertidal clam on an exposed sandy beach using a generalized additive model. J. Exp. Mar. Biol. Ecol. 276: 67-81. https://doi.org/10.1016/S0022-0981(02)00239-3
Schlacher T.A., Thompson L. 2013. Spatial structure on ocean-exposed sandy beaches: faunal zonation metrics and their variability. Mar. Ecol. Prog. Ser. 478: 43-55. https://doi.org/10.3354/meps10205
Schlacher T.A., Schoeman D.S., Dugan J., et al. 2008. Sandy beach ecosystems: key features, sampling issues, management challenges and climate change impacts. Mar. Ecol. 29: 70-90. https://doi.org/10.1111/j.1439-0485.2007.00204.x
Signorini S.R. 1980. A Study of The Circulation in Bay of Ilha Grande and Bay of Sepetiba Part I, A Survey of the Circulation Based on Experimental Field Data. Bol. Inst. Oceanogr. 29: 41-55. https://doi.org/10.1590/S0373-55241980000100004
Venables W.N., Ripley B.D. 2002. Modern Applied Statistics with S. Springer, New York, 495 pp. https://doi.org/10.1007/978-0-387-21706-2
Wiens J.A. 1989. Spatial scaling in ecology. Funct. Ecol. 3: 385-397. https://doi.org/10.2307/2389612
Zuur A.F., Ieno E.N., Walker N.J., et al. 2009. Mixed Effects Models and Extensions in Ecology with R. Springer, New York. 574 pp. https://doi.org/10.1007/978-0-387-87458-6
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2017 Consejo Superior de Investigaciones Científicas (CSIC)

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
© CSIC. Los originales publicados en las ediciones impresa y electrónica de esta Revista son propiedad del Consejo Superior de Investigaciones Científicas, siendo necesario citar la procedencia en cualquier reproducción parcial o total.
Salvo indicación contraria, todos los contenidos de la edición electrónica se distribuyen bajo una licencia de uso y distribución “Creative Commons Reconocimiento 4.0 Internacional ” (CC BY 4.0). Consulte la versión informativa y el texto legal de la licencia. Esta circunstancia ha de hacerse constar expresamente de esta forma cuando sea necesario.
No se autoriza el depósito en repositorios, páginas web personales o similares de cualquier otra versión distinta a la publicada por el editor.