In PARE, what is the "Predict" step?

In PARE, what is the "Predict" step?

• A. Measure bloom severity through chlorophyll A, Cyanobacteria ID and cell counts
• B. Share information with the public
• C. Implement measures to prevent or control bloom
• D. Forecast bloom using long term database/keystone parameters

Answer: (D)

The Predict step is about forecasting blooms before they happen using historical data and the main drivers that push bloom dynamics. Forecasting with a long-term database and keystone parameters lets you anticipate when and how severe a bloom might be, so you can plan ahead. Measuring bloom severity now (chlorophyll A, identifying cyanobacteria, counting cells) is about current status and monitoring, not predicting future events. Sharing information with the public is a communication/education action, and implementing measures to prevent or control a bloom is the response that follows the prediction. So using a long-term data set and key drivers to forecast blooms best captures the Predict step.

The Predict step is about forecasting blooms before they happen using historical data and the main drivers that push bloom dynamics. Forecasting with a long-term database and keystone parameters lets you anticipate when and how severe a bloom might be, so you can plan ahead. Measuring bloom severity now (chlorophyll A, identifying cyanobacteria, counting cells) is about current status and monitoring, not predicting future events. Sharing information with the public is a communication/education action, and implementing measures to prevent or control a bloom is the response that follows the prediction. So using a long-term data set and key drivers to forecast blooms best captures the Predict step.