RESUMO
Resumen Introducción: Los ríos tropicales se ven cada vez más afectados por la fragmentación y la regulación; y, en Colombia, se sabe que las represas ponen en peligro a los peces endémicos debido, entre otros, a la migración limitada y la disponibilidad reducida de redes alimenticias basadas en el detrito. Sin embargo, el conocimiento de la ictiofauna nativa afectada por represas en ríos altoandinos es aún incipiente. Objetivo: Evaluar los efectos de la represa del Neusa sobre la ictiofauna. Métodos: Comparamos dos secciones del río, una aguas arriba y otra aguas abajo de la represa con el Sistema Richter IHA, muestreamos tres transectos de 100 m de largo en cada sección, cada dos meses, entre 2017 y 2019. Los peces fueron devueltos al río después de efectuadas las mediciones corporales. Resultados: Recolectamos 729 individuos de cinco familias; los Trichomycterus bogotense eran más pequeños aguas abajo de la represa; Oncorhynchus mykiss fue más pequeño y menos abundante; y no hubo diferencias para Grundulus bogotensis y Eremophilus mutisii. Independientemente de los factores climáticos, O. mykiss y G. bogotensis fueron más abundantes aguas arriba, y E. mutisii y T. bogotense aguas abajo de la represa. Conclusión: Las cinco especies de peces diferían en cómo las poblaciones se diferencian aguas arriba y aguas abajo de la represa, lo que sugiere que algunas se benefician de la represa, mientras que otras se vuelven más pequeñas y menos abundantes.
Abstract Introduction: Tropical rivers are increasingly being affected by fragmentation and regulation; and, in Colombia, dams are known to endanger endemic fishes through, among others, limited migration and reduced availability of sediment-based feeding networks. However, knowledge of native ichthyofauna affected by dams in high Andean rivers is still incipient. Objective: To assess the effects of the Neusa dam on the ichthyofauna. Methods: We compared two rivers' sections, one above and one below the dam with the Richter IHA System, we sampled three 100 m long transects in each section, every two months, between 2017 and 2019. The fishes were returned to the river after body measurements. Results: We collected 729 individuals from five families; Trichomycterus bogotense were smaller under the dam; Oncorhynchus mykiss was smaller and less abundant; and there were no differences for Grundulus bogotensis and Eremophilus mutisii. Independently of climatic factors, O. mykiss and G. bogotensis were more abundant above the dam, and E. mutisii and T. bogotense under the dam. Conclusion: The five fish species differed in how the populations differed above and under the dam, suggesting that some are benefited by the dam, while others become smaller and less abundant.
Assuntos
Animais , Tamanho Corporal , Peixes , ColômbiaRESUMO
The richness of native fish is considered to be an indicator of aquatic ecosystem health, and improving richness is a key goal in the management of river ecosystems. An artificial neural network (ANN) model based on field data from 90 sample sites distributed throughout the Júcar River Basin District was developed to predict the native fish species richness (NFSR). The Levenberg-Marquardt learning algorithm was used for model training. When constructing the model, we tried different numbers of neurons (hidden layers), compared different transfer functions, and tried different k values (from 3 to 10) in the k-fold cross-validation method. This process and the final selection of key variables with relevant ecological meaning support the reliability and robustness of the final ANN model. The partial derivatives method was applied to determine the relative importance of input environmental variables. The final ANN model combined variables describing riparian quality, water quality, and physical habitat and helped identify the primary drivers of the NFSR patterns in Mediterranean rivers. In the second part of the study, the model was used to evaluate the effectiveness of two restoration actions in the Júcar River: the removal of two abandoned weirs and the progressive increase in the proportion of riffles. The model indicated that the combination of these actions produced a rise in NFSR, which ultimately reached the maximum values observed in the reference site of that river ecotype (sensu the European Water Framework Directive). The results demonstrate the importance of longitudinal connectivity and riffle proportion for improving NFSR and the power of ANNs to help decisions in the management and ecological restoration of Mediterranean rivers. Furthermore, this model at the basin scale is the first step for further research on the effects of water scarcity and global change on Mediterranean fish communities.
