Biological consequences of environmental pollution in running water ecosystems: A case study in zooplankton

Environ Pollut. 2019 Sep;252(Pt B):1483-1490. doi: 10.1016/j.envpol.2019.06.055. Epub 2019 Jun 24.

Abstract

Biodiversity in running water ecosystems such as streams and rivers is threatened by chemical pollution derived from anthropogenic activities. Zooplankton are ecologically indicative in aquatic ecosystems, owing to their position of linking the top-down and bottom-up regulators in aquatic food webs, and thus of great potential to assess ecological effects of human-induced pollution. Here we investigated the influence of water pollution on zooplankton communities characterized by metabarcoding in Songhua River Basin in northeast China. Our results clearly showed that varied levels of anthropogenic disturbance significantly influenced water quality, leading to distinct environmental pollution gradients (p < 0.001), particularly derived from total nitrogen, nitrate nitrogen and pH. Redundancy analysis showed that such environmental gradients significantly influenced the geographical distribution of zooplankton biodiversity (R = 0.283, p = 0.001). In addition, along with the trend of increasing environmental pollution, habitat-related indicator taxa were shifted in constituents, altering from large-sized species (e.g. arthropods) in lightly disturbed areas to small-sized organisms (e.g. rotifers and ciliates) in highly disturbed areas. All these findings clearly showed that anthropogenic activity-derived water pollution significantly influenced biological communities. Thus, biotic consequences of human-induced environmental pollution in running water ecosystems should be deeply investigated. More importantly, the findings of biotic consequences should be well integrated into existing monitoring programs to further assess impacts of anthropogenic disturbance, as well as to advance the management of running water ecosystems for conservation and ecological restoration.

Keywords: Biodiversity; Metabarcoding; Songhua River Basin; Water pollution; Zooplankton.

MeSH terms

  • Animals
  • Biodiversity*
  • China
  • Ecosystem
  • Environmental Monitoring*
  • Food Chain
  • Humans
  • Nitrates / analysis
  • Nitrogen / analysis
  • Rivers / chemistry*
  • Water Pollutants, Chemical / analysis*
  • Water Pollution / analysis*
  • Water Quality
  • Zooplankton / classification
  • Zooplankton / growth & development*

Substances

  • Nitrates
  • Water Pollutants, Chemical
  • Nitrogen