ArticleEnvironmental science and pollution research international2022
Microbial communities in swamps of four mangrove reserves driven by interactions between physicochemical properties and microbe in the North Beibu Gulf, China.
Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Stress-Resistant Symbiodiniaceae and Diverse Bacterial Communities Promote Coral Persistence in Variable, Multi-Stressor Environments.Ecology and evolution · 2026Article
- Microbial diversity and water quality changes in mangrove sediments in Quanzhou Bay.Frontiers in microbiology · 2026Article
- Assessment of sediment physiochemical properties, microbial and predicted functional diversity in mangrove eco-restoration sites of Hamata, Mangrove Bay, and Saffaga along the Egyptian Red Sea coast.Environmental science and pollution research international · 2025Article
- Diazotrophic community in the sediments of Poyang Lake in response to water level fluctuations.Frontiers in microbiology · 2024Article
- Prokaryote communities along a source-to-estuary river continuum in the Brazilian Atlantic Forest.PeerJ · 2024Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Mangroves are distributed in coastal and estuarine regions and are characterized as a sink for terrestrial pollution. It is believed that complex interactions between environmental factors and microbial communities exist in mangrove swamps. However, little is known about environment-microbe interactions. There is a need to clarify some important environmental factors shaping microbial communities and how environmental factors interact with microbial assemblages in mangrove swamps. In the present study, physicochemical and microbial characteristics in four mangrove reserves (named ZZW, Qin, Bei, and GQ) in the North Beibu Gulf were determined. The interactions between environmental factors and microbial assemblages were analyzed with statistical methods in addition to CCA and RDA. Higher concentrations of sulfate (SO
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