Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning.
Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning.
N. Nelson,R. Muñoz‐Carpena,3 Authors,J. Hendrickson
2018 · DOI: 10.1021/acs.est.7b05884
Environmental Science and Technology · 72 Citations
TLDR
A unique 17 year data set comprising monthly observations of cyanobacteria genera and zooplankton abundances, water quality, and flow in a bloom-impacted, subtropical, flow-through lake in Florida is analyzed and relationships among environmental conditions and five dominant cyanob bacteria genera are characterized and quantified.