Combined Generalized Additive model and Random Forest to evaluate the influence of environmental factors on phytoplankton biomass in a large eutrophic lake - ScienceDirect

Combined Generalized Additive model and Random Forest to evaluate the influence of environmental factors on phytoplankton biomass in a large eutrophic lake - ScienceDirect

The over-proliferation of phytoplankton has been a public concern for the last several decades. To evaluate the importance of different environmental …

Effects of Lake Geo-Engineering on Plankton in a Typical Shallow Urban Lake: Evidence Based on 10-year Data

PDF) Eutrophication model for Lake Washington (USA): Part I. Model description and sensitivity analysis

GMD - Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 1: Implementation and model behaviour

Developing cyanobacterial bloom predictive models using influential factor discrimination approach for eutrophic shallow lakes - ScienceDirect

Zooplankton biomass dynamics in oligotrophic versus eutrophic conditions: a test of the PEG model

Prediction of phytoplankton biomass and identification of key influencing factors using interpretable machine learning models - ScienceDirect

PDF) The effect of lake morphology on aquatic vegetation development and changes under the influence of eutrophication

Simulation of flow and eutrophication in the central Salem River, New Jersey

Abiotic factors driving cyanobacterial biomass and composition under perennial bloom conditions in tropical latitudes

Combined Generalized Additive model and Random Forest to evaluate the influence of environmental factors on phytoplankton biomass in a large eutrophic lake - ScienceDirect

Combined Generalized Additive model and Random Forest to evaluate the influence of environmental factors on phytoplankton biomass in a large eutrophic lake - ScienceDirect