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Hydrobiologia

, Volume 784, Issue 1, pp 93–109 | Cite as

Baited remote underwater video as a promising nondestructive tool to assess fish assemblages in clearwater Amazonian rivers: testing the effect of bait and habitat type

  • Kurt Schmid
  • José Amorim Reis-Filho
  • Euan Harvey
  • Tommaso Giarrizzo
Primary Research Paper

Abstract

Baited remote underwater video (BRUV) systems are being used in marine ecosystems as a nonextractive, cost-effective method of assessing the fish fauna with minimal species bias. This technique has had limited applications in freshwater ecosystems. Rheophilic fish assemblages of the Xingu River, a clearwater Amazonian river in Northern Brazil, were sampled with BRUV systems. Two-hour video recordings were collected using five different bait treatments (sardine, croaker, cat food, sweet corn, and no bait) in two lotic habitat categories (rocky and sandy bottoms). A total of 2460 fish from 56 taxa and 13 families were recorded from the 80 BRUV deployments. Significantly different fish assemblages, species richness, and abundance were detected between habitat types and among treatments. Our results suggest that the use of crushed sardines as a standardized bait optimizes the sampling recording the highest species richness, relative abundance, and number of exclusive species of rheophilic fish in clearwater Amazonian rivers. The data also highlight the unique fish diversity of the Xingu River prior to the expected large-scale environmental degradation resulting from the forthcoming operation of the Belo Monte hydroelectric power plant.

Keywords

Freshwater ecology Neotropical fish Lotic habitats Xingu River Brazil Amazon River basin Hydroelectric power plants 

Notes

Acknowledgements

We are grateful for the support provided by the Universidade Federal do Pará and the Grupo de Ecologia Aquática (GEA - Aquatic Ecology Group); Dr. L. M. Sousa from the laboratory of Ichthyology of Altamira for the fish pictures, A. J. S. Jesus for his support in data analysis; M. C. Andrade, D. A. Bastos, P. A. Trindade, and R. Oliveira for their help with species identification; and N. Balão for his skillful navigation. The first author was funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and is funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), the second author by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), and the third author by Curtin University, Australia, and the last author receives a productivity grant from CNPq (process CNPq # 308278/2012–7) and is funded by CAPES and (Fundação Amazônia de Amparo a Estudos e Pesquisas do Pará) FAPESPA. Logistics for the field data collection were supported by Leme Engenharia Ltda.

Supplementary material

10750_2016_2860_MOESM1_ESM.pdf (531 kb)
Appendix 1 Average (± SD) first arrival time (mins) per bait and habitat type of reophilic fish species sampled with baited remote underwater video (BRUV) in the Xingu River. Appendix 2 Mean (± SD) relative abundance (MaxN) per bait and habitat type of reophilic fish species sampled with baited remote underwater video (BRUV) in the Xingu River. Supplementary material 1 (PDF 531 kb)

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© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Laboratório de Biologia PesqueiraUniversidade Federal do Pará (UFPA)BelémBrazil
  2. 2.Laboratório de Ecologia Bentônica, Instituto de BiologiaUniversidade Federal da Bahia (UFBA)SalvadorBrazil
  3. 3.Department of Environment and AgricultureCurtin UniversityPerthAustralia

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