SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification
Abstract 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...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Wiley
2022-02-01
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Series: | EFSA Journal |
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Online Access: | https://doi.org/10.2903/j.efsa.2022.7104 |
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author | European Food Safety Authority (EFSA) Andrea Maiorano |
author_facet | European Food Safety Authority (EFSA) Andrea Maiorano |
author_sort | European Food Safety Authority (EFSA) |
collection | DOAJ |
description | Abstract 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). |
first_indexed | 2024-04-13T05:29:10Z |
format | Article |
id | doaj.art-309e56cf036648f29748ce8ec27aef16 |
institution | Directory Open Access Journal |
issn | 1831-4732 |
language | English |
last_indexed | 2024-04-13T05:29:10Z |
publishDate | 2022-02-01 |
publisher | Wiley |
record_format | Article |
series | EFSA Journal |
spelling | doaj.art-309e56cf036648f29748ce8ec27aef162022-12-22T03:00:29ZengWileyEFSA Journal1831-47322022-02-01202n/an/a10.2903/j.efsa.2022.7104SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classificationEuropean Food Safety Authority (EFSA)Andrea MaioranoAbstract 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).https://doi.org/10.2903/j.efsa.2022.7104Climate suitabilityKöppen–Geiger classificationSCAN‐Climpest categorisationpest risk assessment |
spellingShingle | European Food Safety Authority (EFSA) Andrea Maiorano SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification EFSA Journal Climate suitability Köppen–Geiger classification SCAN‐Clim pest categorisation pest risk assessment |
title | SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification |
title_full | SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification |
title_fullStr | SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification |
title_full_unstemmed | SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification |
title_short | SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification |
title_sort | scan clim a tool to support pest climate suitability analysis based on climate classification |
topic | Climate suitability Köppen–Geiger classification SCAN‐Clim pest categorisation pest risk assessment |
url | https://doi.org/10.2903/j.efsa.2022.7104 |
work_keys_str_mv | AT europeanfoodsafetyauthorityefsa scanclimatooltosupportpestclimatesuitabilityanalysisbasedonclimateclassification AT andreamaiorano scanclimatooltosupportpestclimatesuitabilityanalysisbasedonclimateclassification |