Open AccessSCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification
Author(s) -
Maiorano Andrea
Publication year - 2022
Publication title -
efsa journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.076
H-Index - 97
ISSN - 1831-4732
DOI - 10.2903/j.efsa.2022.7104
Subject(s) - pest analysis , risk assessment , climate change , climate change scenario , documentation , integrated pest management , environmental science , environmental resource management , ecology , business , computer science , biology , computer security , marketing , programming language
EFSA pest categorisations and pest risk assessments include the assessment of the potential establishment of plant pests. Together with the presence of host plants, climate suitability analysis is an important element to analyse the likelihood of potential establishment of a pest in an area. One of the main approaches used in EFSA plant health risk assessment is the analysis based on climate classifications i.e. evidencing the occurrence of climates enhancing pest development and persistence in a specific area. SCAN‐Clim is a tool designed to support climate suitability analysis based on climate classifications. The current version is the first prototype of the tool, developed in the R language, currently used to support EFSA climate suitability analysis for pest categorisation and for quantitative pest risk assessment. Tested on over 34 EFSA works, SCAN‐Clim significantly improved the speed of climate suitability maps generation guaranteeing a standardised map format and providing documentation on input/outputs. Further improvements will include the development of an interactive web app accessible through the EFSA R4EU Portal (expected to be delivered in 2022).