Supporting Resources

Reliability and utility of prediction system

SPB Monitoring and Prediction Team. 2021. Southern pine beetle prediction explainer video. https://drive.google.com/file/d/1lp0-8pCiAkaXqVclcxjjSx4RcBKGeH3M/preview

SPB Monitoring and Prediction Team. 2023. Utility and reliability of the southern pine beetle prediction system. https://www.spbpredict.com/2023_SPB-predictions.Utility-Reliabililty.v07.pdf

Data

SPB Monitoring and Prediction Team. 2022. Annual trapping data, spot data, and model predictions for each participating county, parish, or federal parcel, 1987-2021 ver 1. https://www.spbpredict.com/SPB.southwide.Annual.1988-2021.zip

SPB Monitoring and Prediction Team. 2022. Unreduced weekly trapping data for each participating county, parish, or federal parcel, 1987-2011, ver 1. https://www.spbpredict.com/SPB.southwide.Weekly.1987-2011.zip

SPB Monitoring and Prediction Team. 2022. Unreduced weekly trapping data for each participating county, parish, or federal parcel, 2011-2017, ver 1. https://www.spbpredict.com/SPB.southwide.Weekly.2011-2017.zip

Code

SPB Monitoring and Prediction Team. 2022. Technical description with code of model employed by spbpredict.com, version 1. https://www.spbpredict.com/SPB.PredictionModel.2022.zip

Some references on the population dynamics of southern pine beetles

Aoki, C. F. 2017. Forest risk and irruptive insect pests: ecology for management in changing times. Dissertation. Dartmouth College, Hanover, NH USA. (Chapter 3 developed the initial version of the zero-inflated Poisson model employed by spbpredict.com, version 1.) https://www.spbpredict.com/Aoki-Dissertation.pdf