A Practitioner-Informed Decision Tree for Selecting Harmful Cyanobacteria Bloom Control and Mitigation Techniques.

ABSTRACT: Harmful Cyanobacterial Blooms (HCBs) threaten ecological and human health, and their incidence and magnitude appear to be rising globally. However, a lack of guidance exists on how to choose the best HCB control and mitigation strategy for different types of water bodies. The portfolio of available in situ control techniques is diverse, ranging from experimental to well established, with complicated and poorly-documented records of effectiveness across different settings and a range of unintended ecological consequences. We introduce a decision tree that synthesizes current science and practitioner experience in a framework that can be used to examine conditions under which HCB control techniques are likely to be appropriate and most effective. The factors that establish branching and the

SUBMITTER: Tullos D 

PROVIDER: S-EPMC11887456 | biostudies-literature | 2025 Jan-Feb

REPOSITORIES: biostudies-literature