Temporal profiling resolves the drivers of microbial nitrogen cycling variability in coastal sediments-Reference-Cited by-同舟云学术

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Temporal profiling resolves the drivers of microbial nitrogen cycling variability in coastal sediments

Published:2023-01 Issue: Volume:856 Page:159057
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Marshall Alexis J.,Phillips Lori,Longmore Andrew,Hayden Helen L.,Heidelberg Karla B.,Tang Caixian,Mele Pauline

Funder

Melbourne Water

Victoria Department of Environment Land Water and Planning

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference91 articles.

1. Effects of estuarine sediment hypoxia on nitrogen fluxes and ammonia oxidizer gene transcription;Abell;FEMS Microbiol. Ecol.,2011

2. Unifying the global phylogeny and environmental distribution of ammonia-oxidising archaea based on amoA genes;Alves;Nat. Commun.,2018

3. Efficiency of the coastal filter: nitrogen and phosphorus removal in the Baltic Sea;Asmala;Limnol. Oceanogr.,2017

4. Controls on nitrogen loss processes in Chesapeake Bay sediments;Babbin;Environ. Sci. Technol.,2013

5. Organic matter loading modifies the microbial community responsible for nitrogen loss in estuarine sediments;Babbin;Microb. Ecol.,2016

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1. Low-abundant but highly transcriptionally active uncharacterised Nitrosomonas drive ammonia-oxidation in the Brouage mudflat, France;Science of The Total Environment;2024-10

2. Nitrogen loading resulting from major floods and sediment resuspension to a large coastal embayment;Science of The Total Environment;2024-03

3. Low-Abundant But Highly Transcriptionally Active Uncharacterised Nitrosomonas Drive Ammonia-Oxidation in the Brouage Mudflat, France;2024

4. The influence of wet-to-dry season shifts on the microbial community stability and nitrogen cycle in the Poyang Lake sediment;Science of The Total Environment;2023-12

5. Predictive modeling and analysis of key drivers of groundwater nitrate pollution based on machine learning;Journal of Hydrology;2023-09

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