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SCAN-Clim: a tool to support pest climate suitability analysis based on climate classification.
The SCAN-Clim tool aids in assessing plant pest establishment by analyzing climate suitability. This R-language tool enhances the speed and standardization of generating climate suitability maps for risk assessments.
Area of Science:
- Plant pathology
- Risk assessment
- Climate science
Background:
- Plant pest establishment risk assessments require climate suitability analysis.
- Current methods often rely on climate classifications to identify favorable conditions for pest development.
- The European Food Safety Authority (EFSA) conducts pest categorizations and risk assessments.
Purpose of the Study:
- To introduce SCAN-Clim, a tool supporting climate suitability analysis for EFSA's pest risk assessments.
- To improve the efficiency and standardization of generating climate suitability maps.
Main Methods:
- Development of SCAN-Clim as a prototype tool in the R language.
- Utilizing climate classifications to assess conditions favorable for pest development and persistence.
- Application of the tool in over 34 EFSA works for pest categorisation and quantitative risk assessment.
Main Results:
- SCAN-Clim significantly accelerated the generation of climate suitability maps.
- The tool ensured a standardized format for generated maps.
- Provided comprehensive documentation for input and output data.
Conclusions:
- SCAN-Clim is an effective tool for supporting EFSA's climate suitability analyses in plant health risk assessments.
- The tool enhances speed and standardization in map generation.
- Future development includes an interactive web app for wider accessibility.
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