Application of a statistical model for the assessment of environmental quality in neotropical semi-arid reservoirs

Environ Monit Assess. 2017 Feb;189(2):65. doi: 10.1007/s10661-016-5723-3. Epub 2017 Jan 21.

Abstract

The aim of this study was to develop a statistical model to assess the environmental quality of reservoirs located in semi-arid region using metrics of anthropogenic disturbance, water quality variables, and benthic macroinvertebrate communities as indicators. The proposed model was applied to 60 sites located in three reservoirs in the Paraíba river basin, Brazilian semi-arid region. Collections were made in December 2011. In each site, we collected one sample of benthic macroinvertebrates and one water sample for the determination of physical and chemical parameters. Characterization of the landscape was made through application of 10 physical habitat protocols on each site for the collected information on disturbance and subsequent calculation of disturbance metrics. The results showed the formation of two groups: group 1, consisting of 16 minimally altered sites, and group 2, with 44 severely altered sites. The proposed statistical model was sensitive enough to detect changes. In the minimally altered group, the Chironomids Aedokritus and Fissimentum were dominant, indicating a higher environmental quality, while Coelotanypus and Chironomus were abundant in severely altered sites with lower environmental quality. The conservation and management of reservoirs in semi-arid regions should be intensified in view of the need to maintain the environmental quality of these ecosystems.

Keywords: Benthic macroinvertebrates; Bioindicators; Disturbance; Monitoring.

MeSH terms

  • Animals
  • Brazil
  • Chironomidae / physiology*
  • Ecosystem
  • Environmental Monitoring / methods*
  • Models, Statistical*
  • Rivers / chemistry*
  • Water Quality*