Evidence map›Paper›PMID 31104161›Full record

ArticleEnvironmental monitoring and assessment2019

Development of microbial community-based index of biotic integrity to evaluate the wetland ecosystem health in Suzhou, China.

Wenting Zhu, Yingying Liu, Sitan Wang, Miao Yu, Wei Qian

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Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Evaluating a river's ecological health: A multidimensional approach.Environmental science and ecotechnology · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wenting ZhuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Suzhou Polytechnic Institute of Agricultures, Suzhou, 215008, China.
Yingying LiuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Suzhou Polytechnic Institute of Agricultures, Suzhou, 215008, China.
Sitan WangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Suzhou Polytechnic Institute of Agricultures, Suzhou, 215008, China.
Miao YuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Suzhou Polytechnic Institute of Agricultures, Suzhou, 215008, China.
Wei QianState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Suzhou University of Science and Technology, Suzhou, 215009, China. 468004254@qq.com.

Funding

Science and Technology Plan Project of Suzhou SNG2017059University Science Research Project of Jiangsu Province 17KJB610011Youth Promotion Project of Suzhou Polytechnic Institute of Agricultures PPN201710
6 · The paper itself

Abstract

The development of microbial community-based biological indicators for assessing aquatic ecological status is urgently needed in heavily impaired regions, due to the local extinction of traditional indicator macro-organisms. The aim of this study was to develop and validate a microbial community-based index of biotic integrity (MC-IBI) to assess the health of wetlands in Suzhou, China. High-throughput sequencing was used to obtain information about microbial communities in wetlands and to investigate the health of the wetlands. When constructing the index, we selected what we considered were the most important environmental factors and biological parameters, and identified sensitive and tolerant species. We then used the index to evaluate the health of the inflows and outflows of 15 wetlands in Suzhou. The results showed that, of the 30 samples collected at the 10 impacted inflow sites, 2 were classified as "poor," 5 were "commonly," 18 were sub-healthy, and 5 were healthy; at the restored outflow sites, 24 were "healthy" and 6 were "sub-healthy." The health was worst at the inflows of wetlands that received agricultural effluent, followed by those that received industrial effluent, and was best at those that received urban effluent. The results from our study show that this newly developed MC-IBI gave reasonable evaluations of the health of wetland ecosystems. This application demonstrates that the evaluation system was feasible and we suggest that evaluations that further MC-IBI evaluation approaches should be developed further in the future.

Indexed as

BiotaEcosystemMicrobiotaAgricultureChinaEnvironmental MonitoringWetlandsApplicabilityHealth assessmentHigh-throughput sequencingIndex of Biotic IntegrityMicrobial communityWetland

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.