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SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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John Wiley and Sons Inc.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814771/ https://www.ncbi.nlm.nih.gov/pubmed/35140813 http://dx.doi.org/10.2903/j.efsa.2022.7104 |
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author | Maiorano, Andrea |
author_facet | Maiorano, Andrea |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-8814771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88147712022-02-08 SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification Maiorano, Andrea EFSA J Scientific Report 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). John Wiley and Sons Inc. 2022-02-04 /pmc/articles/PMC8814771/ /pubmed/35140813 http://dx.doi.org/10.2903/j.efsa.2022.7104 Text en © 2022 Wiley‐VCH Verlag GmbH & Co. KgaA on behalf of the European Food Safety Authority. https://creativecommons.org/licenses/by-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nd/4.0/ (https://creativecommons.org/licenses/by-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made. |
spellingShingle | Scientific Report Maiorano, Andrea SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification |
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 | Scientific Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814771/ https://www.ncbi.nlm.nih.gov/pubmed/35140813 http://dx.doi.org/10.2903/j.efsa.2022.7104 |
work_keys_str_mv | AT scanclimatooltosupportpestclimatesuitabilityanalysisbasedonclimateclassification AT maioranoandrea scanclimatooltosupportpestclimatesuitabilityanalysisbasedonclimateclassification |