de Biología Tropical ISSN Impreso: 0034-7744 ISSN electrónico: 2215-2075

Spatial and temporal characterization of fish assemblages in a tropical coastal system influenced by freshwater inputs: northwestern Yucatan peninsula

Daniel Arceo Carranza, Ma. Eugenia Vega Cendejas



Coastal lagoons are important systems for freshwater, estuarine and marine organisms; they are considered important zones of reproduction, nursery and feeding for many fish species. The present study investi- gates the fish assemblages of the natural reserve of Dzilam and their relationship with the hydrologic variables. A total of 6 474 individuals (81 species) were collected, contributing with more than 50% considering the Importance Value Index (IVI), Sphoeroides testudineus, Fundulus persimilis, Anchoa mitchilli, Eucinostomus gula, Eucinostomus argenteus and Mugil trichodon. Differences in species composition were found between seasons the highest during the cold fronts. Spatially, differences were related with the presence of freshwater seeps, the highest in the ecological characterized eastern part and the lowest with higher difference in specific composition located in the western part of the internal zone, due to a higher abundance and dominance of L. rhomboides. Salinity and temperature were the variables that presented a higher influence in the distribution of some pelagic species such as A. mitchilli and A. hepsetus. Because of the abundant freshwater seeps characteristic of the coastal lagoons of Yucatan Peninsula their community structure and fish assemblage display spatial and temporal differences in specific composition


ichthyofauna; species composition; temporal variation; freshwater inputs; environmental variables; bocas de dzilam

Full Text:



  • There are currently no refbacks.

© 2017 Universidad de Costa Rica. Para ver más detalles sobre la distribución de los artículos en este sitio visite el aviso legal. Este sitio es desarrollado por UCRIndex y Open Journal Systems. ¿Desea cosechar nuestros metadatos? dirección OAI-PMH: