SAFARIS

SAFARIS integrates pest biology information, climate and non-climate data drivers, and predictive models to provide a seamless environment for producing predictive models for pest and disease risk management.

Key Features:

• Phenology prediction models: These models help users understand when surveys would be most fruitful for detecting pest establishment.
• Spread forecasting models: These models aid in analyzing and predicting how pests and diseases may spread across geographic areas.
• Climate-based analytical tools: These tools help identify which areas are suitable for pest and disease establishment based on climate conditions.
• Flexible web-based framework: The framework allows users to customize tools and leverage available data to model pest and disease risks.

Scientific Applications:

• Pest establishment suitability analysis: SAFARIS helps determine which geographic areas are suitable for the establishment of non-native pests and diseases.
• Survey timing optimization: The framework informs when surveys would be most fruitful for detecting pests based on phenological predictions.
• Rapid response decision support: SAFARIS aids analyses that inform decision-making and operational efforts for responding to pest and disease threats.
• Invasive species risk assessment: The system supports the U.S. Department of Agriculture Animal and Plant Health Inspection Service Plant Protection and Quarantine in protecting U.S. agriculture and natural resources against invasive pests and diseases.

Methodology:

SAFARIS integrates pest biology information, climate and non-climate data drivers, and predictive models within a web-based framework. Two use cases demonstrating pest-specific models developed with SAFARIS tools were provided in the original publication.