4.8 Article

Consideration of Multitrophic Biodiversity and Ecosystem Functions Improves Indices on River Ecological Status

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 55, Issue 24, Pages 16434-16444

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c05899

Keywords

eDNA; taxonomic diversity; functional diversity; phylogenetic diversity; litter decomposition

Funding

  1. Major Science and Technology Program for Water Pollution Control and Treatment [2017ZX07602-002]
  2. Guangdong Provincial Key Laboratory Project [2019B121203011]
  3. Program of China Postdoctoral Science Foundation [2021M690736]
  4. National Natural Science Foundation of China [52100216]
  5. Fundamental Research Funds for the Central Universities [021114380130]
  6. Swiss National Science Foundation [31003A_173074]
  7. University of Zurich Research Priority Program URPP Global Change and Biodiversity

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The study demonstrates that combining environmental DNA (eDNA) metabarcoding and measurements of ecosystem functions with physicochemical elements can more accurately assess the ecological status of rivers and improve assessment accuracy and biodiversity. Using 40 indicators of biodiversity and ecosystem functions, the study shows effective prediction of human impacts on ecosystems.
Biological quality elements have been developed worldwide to assess whether a water body is in a good status or not. However, current studies mainly focus on a single taxonomic group or a small set of species, often limited by methods of morphological identification, and lack further aspects of biodiversity (e.g., across taxa and multiple attributes) and ecosystem functions. Here, we advance a framework for assessing the river's ecological status based on complete biodiversity data measured by environmental DNA (eDNA) metabarcoding and measurements of ecosystem functions in addition to physicochemical elements across a large riverine system in China. We identified 40 indicators of biodiversity and ecosystem functions, covering five taxonomic groups from bacteria to invertebrates, and associated with multiple attributes of biodiversity and ecosystem functions. Our data show that human impact on ecosystems could be accurately predicted by these eDNA-based indicators and ecosystem functions, using cross-validation with a known stressor gradient. Moreover, indices based on these indicators of biodiversity and ecosystem functions not only distinguish the physicochemical characteristics of the sites but also improve the assessment accuracy of 20-30% for the river's ecological status. Overall, by incorporating eDNA-based biodiversity with physicochemical and ecosystem functional elements, the multidimensional perspectives of ecosystem states provide additional information to protect and maintain a good ecological status of rivers.

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