<?xml version="1.0" encoding="UTF-8" standalone="1"?>
<pra datepubli="2025-10-16" lastupdate="2025-10-16">
 <uuid>261d984b-8fa7-4d32-a6b4-9028140a236e</uuid>
 <country>EPPO</country>
 <datepra>2015-10-15</datepra>
 <title>Ranking of Union Quarantine Pests based on their potential economic, social and environmental impacts to support the identification of “priority pests”</title>
 <description><![CDATA[<p>Schneider, K., Barreiro-Hurle, J., Vazquez-Torres, E., Di Cori, V. and Rodriguez-Cerezo, E., Ranking of Union Quarantine Pests based on their potential economic, social and environmental impacts to support the identification of &ldquo;priority pests&rdquo; - An update of the Integrated Indication for Priority Pests (I2P2), Publications Office of the European Union, Luxembourg, 2025, https://data.europa.eu/doi/10.2760/3350558, JRC141239.</p><p><br></p><p>A visualisation tool is available at <a href="https://datam.jrc.ec.europa.eu/datam/mashup/I2P2_INDICATORS_2024/">https://datam.jrc.ec.europa.eu/datam/mashup/I2P2_INDICATORS_2024/</a>&nbsp;</p><p><br></p><p>This report presents a two-step approach to rank European Union Quarantine Pests (UQPs) based on their potential economic, social, and environmental impacts. In the first step, a shortlisting methodology was developed and applied to approximately 400 UQPs to select a subset of pests which were subject to a more detailed analysis in the second one. The shortlisted 46 pests were evaluated using an updated and modified version of the Impact Indicator for Priority Pests (I2P2) a composite indicator based on multi-criteria analysis. To calculate I2P2 values expert knowledge elicitations were conducted by EFSA for key parameters and these combined with a diversity of secondary data sources. The I2P2 model combines economic, social, and environmental impact into a single value which is subsequently used to rank pests. We assessed robustness of our recommendation with regards to uncertainty on the biological parameters as well as risk managers&rsquo; preference on avoiding impacts in the different domains. In addition we inform on the driving factors behind the composite scores. </p>]]></description>
 <author id="24">
  <fullname>EPPO Secretariat</fullname>
  <institute id="14">Other PRAs - Scientific articles and research projects</institute>
 </author>
 <tags>
  <tag>article</tag>
  <tag>economics</tag>
  <tag>Priority pest</tag>
 </tags>
 <organisms>
  <organism eppocode="AGRLAX">Agrilus anxius</organism>
  <organism eppocode="DENDSI">Dendrolimus sibiricus</organism>
  <organism eppocode="HYROBO">Listronotus bonariensis</organism>
  <organism eppocode="POPIJA">Popillia japonica</organism>
  <organism eppocode="XYLEFA">Xylella fastidiosa</organism>
 </organisms>
 <praarea>
  <area isocode="9L">EU</area>
 </praarea>
 <files>
  <file type="1" size="5566684">
   <title>JRC141239_01.pdf</title>
   <url>https://pra.eppo.int/getfile/7614b1b7-35b1-4b82-9254-89554ad9ed3f</url>
  </file>
  <file type="1" size="0">
   <title>link</title>
   <url>https://pra.eppo.int/getfile/a68464e1-af3c-4b65-b994-859ace113712</url>
  </file>
 </files>
</pra>
