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<p>The distribution of the species is influenced by many factors, like biogeographic patterns, riverscape, and local features. Despite being well studied since the publication of the River Continuum Concept, different local characteristics are important in determining fish distribution along the longitudinal gradient in the Neotropical region. Here, we tested how local characteristics can affect fishes in the Upper Paraná River basin. To perform such analyses, we measured metrics related to canopy, hydraulic, fish shelter, and others, using adapted EPA protocol in 40 streams located in Upper Paraná basin. After using an exclusion metric method (e.g., collinearity, low variance, and high proportion of zeros), we used GLM (<i>quasi-Poisson</i>; link Log) to identify the best metrics to respond to fish richness and abundance. We recorded 44 fish species, including 3 non-native species, with the first record of <i>Gymnotus</i> cf. <i>pantanal</i> for the Rio Grande. Our results indicate that fish richness increases in streams with high proportion of roots and decreases in streams with a high proportion of Leaf banks and Riparian mid-layer cover. Shannon index decreases in streams with high proportion of mid-layer vegetation cover and abundance decreases in stream with high proportion of riparian canopy cover and high proportion of sand. Pielou index decreases in streams with a high proportion of fine substrate and wetted width.</p>

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How do local variables impact fish in the Upper Paraná River basin?

  • 期刊论文

  • 发表日期：

    2025年10月22日

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  • Gilberto Nepomuceno Salvador,
  • Naraiana Loureiro Benone,
  • Paulo Santos Pompeu,
  • Paulo Sérgio Formagio,
  • Rosalva Sulzbacher,
  • Carlos Bernardo Mascarenhas Alves

摘要

The distribution of the species is influenced by many factors, like biogeographic patterns, riverscape, and local features. Despite being well studied since the publication of the River Continuum Concept, different local characteristics are important in determining fish distribution along the longitudinal gradient in the Neotropical region. Here, we tested how local characteristics can affect fishes in the Upper Paraná River basin. To perform such analyses, we measured metrics related to canopy, hydraulic, fish shelter, and others, using adapted EPA protocol in 40 streams located in Upper Paraná basin. After using an exclusion metric method (e.g., collinearity, low variance, and high proportion of zeros), we used GLM (quasi-Poisson; link Log) to identify the best metrics to respond to fish richness and abundance. We recorded 44 fish species, including 3 non-native species, with the first record of Gymnotus cf. pantanal for the Rio Grande. Our results indicate that fish richness increases in streams with high proportion of roots and decreases in streams with a high proportion of Leaf banks and Riparian mid-layer cover. Shannon index decreases in streams with high proportion of mid-layer vegetation cover and abundance decreases in stream with high proportion of riparian canopy cover and high proportion of sand. Pielou index decreases in streams with a high proportion of fine substrate and wetted width.