Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning-Reference-Cited by-同舟云学术

Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning

Published:2018-02-24 Issue:6 Volume:52 Page:3527-3535
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Nelson Natalie G.¹²,Muñoz-Carpena Rafael¹^ORCID,Phlips Edward J.³,Kaplan David⁴,Sucsy Peter⁵,Hendrickson John⁵

Affiliation:

1. Hydrology & Water Quality, Agricultural & Biological Engineering, University of Florida, Gainesville, Florida, United States

2. Biological & Agricultural Engineering, North Carolina State University, Raleigh, North Carolina, United States

3. Fisheries & Aquatic Sciences, School of Forest Resources & Conservation, University of Florida, Gainesville, Florida, United States

4. Engineering School of Sustainable Infrastructure and Environment, Environmental Engineering Sciences Department, University of Florida, Gainesville, Florida, United States

5. St. Johns River Water Management District, Palatka, Florida, United States

Funder

National Institute of Food and Agriculture

Division of Graduate Education

St. Johns River Water Management District

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.7b05884

Reference68 articles.

1. Blooms Bite the Hand That Feeds Them

2. Harmful Freshwater Algal Blooms, With an Emphasis on Cyanobacteria

3. The Global, Complex Phenomena of Harmful Algal Blooms

4. Climate change: a catalyst for global expansion of harmful cyanobacterial blooms

5. The rise of harmful cyanobacteria blooms: The potential roles of eutrophication and climate change

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