System Documentation

Learn about the reliability, utility, and technical implementation of the Southern Pine Beetle prediction system.

Utility and Reliability Report

PDF

Comprehensive analysis of the prediction system's utility and reliability based on historical data and validation studies.

Research Data

Access the datasets used in the Southern Pine Beetle prediction system, including historical trapping data and model predictions.

Annual Data (1988-2021)

ZIP

Annual trapping data, spot data, and model predictions for each participating county, parish, or federal parcel from 1988-2021.

Format: CSV files in ZIP archive
Coverage: Southern United States
Update: Version 1 (2022)

Weekly Data (1987-2011)

ZIP

Unreduced weekly trapping data for each participating county, parish, or federal parcel from 1987-2011.

Format: CSV files in ZIP archive
Coverage: Southern United States
Update: Version 1 (2022)

Weekly Data (2011-2017)

ZIP

Unreduced weekly trapping data for each participating county, parish, or federal parcel from 2011-2017.

Format: CSV files in ZIP archive
Coverage: Southern United States
Update: Version 1 (2022)

Technical Resources

Access the technical implementation details, code, and research papers that form the foundation of the prediction system.

Model Code & Documentation

ZIP

Complete technical description with code of the model employed by spbpredict.com, including implementation details and usage instructions.

Language: R/Python
Documentation: Included
Update: Version 1 (2022)

Research Dissertation

PDF

Doctoral dissertation by Carissa Aoki (2017) that developed the initial version of the zero-inflated Poisson model used in the prediction system.

Author: Carissa Aoki
Institution: Dartmouth College
Year: 2017

Additional References

Key research papers and publications on Southern Pine Beetle population dynamics and forest management.

Population Dynamics Research

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.)

Data Usage Guidelines

When using these resources, please cite the appropriate publications and acknowledge the collaborative effort of the Southern Pine Beetle Monitoring and Prediction Team. For questions about data usage or collaboration opportunities, please contact the research team.

Suggested Citation Format:

SPB Monitoring and Prediction Team. [Year]. [Resource Title]. [Resource Type]. Available at: [URL]. Accessed: [Date].