Characterizing and predicting cyanobacterial blooms in an 8-year amplicon sequencing time-course-Reference-Cited by-同舟云学术

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Characterizing and predicting cyanobacterial blooms in an 8-year amplicon sequencing time-course

Published:2016-06-10 Issue: Volume: Page:
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Author:

Tromas Nicolas,Fortin Nathalie,Bedrani Larbi,Terrat Yves,Cardoso Pedro,Bird David,Greer Charles W.,Shapiro B. Jesse^ORCID

Publisher

Cold Spring Harbor Laboratory

Reference119 articles.

1. How well can we forecast high biomass algal bloom events in a eutrophic coastal sea?

2. A new method for non-parametric multivariate analysis of variance

3. Distance-Based Tests for Homogeneity of Multivariate Dispersions

4. Host-Specificity and Dynamics in Bacterial Communities Associated with Bloom-Forming Freshwater Phytoplankton

5. High diversity of cultivable heterotrophic bacteria in association with cyanobacterial water blooms;ISME J,2008

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resistance, resilience, and functional redundancy of freshwater bacterioplankton communities facing a gradient of agricultural stressors in a mesocosm experiment;2020-04-13

2. Cianobacterias en un embalse subtropical de la provincia de Salta (Argentina);Boletín de la Sociedad Argentina de Botánica;2018-12-10

3. Relationship of Microbiota and Cyanobacterial Secondary Metabolites in Planktothricoides-Dominated Bloom;Environmental Science & Technology;2017-04-07

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