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Statements

Subject Item
n2:RIV%2F00216208%3A11310%2F12%3A10130313%21RIV13-MSM-11310___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
This paper describes a decision-support scheme (DSS) for mapping the area where economically important loss is likely to occur (the endangered area). It has been designed by the PRATIQUE project to help pest risk analysts address the numerous risk mapping challenges and decide on the most suitable methods to follow. The introduction to the DSS indicates the time and expertise that is needed, the data requirements and the situations when mapping the endangered areas is most useful. The DSS itself has four stages. In stage 1, the key factors that influence the endangered area are identified, the data are assembled and, where appropriate, maps of the key factors are produced listing any significant assumptions. In stage 2, methods for combining these maps to identify the area of potential establishment and the area at highest risk from pest impacts are described, documenting any assumptions and combination rules utilised. When possible and appropriate, Stage 3 can then be followed to show whether economic loss will occur in the area at highest risk and to identify the endangered area. As required, Stage 4, described elsewhere, provides techniques for producing a dynamic picture of the invasion process using a suite of spread models. To illustrate how the DSS functions, a maize pest, Diabrotica virgifera virgifera, and a freshwater invasive alien plant, Eichhornia crassipes, have been used as examples. This paper describes a decision-support scheme (DSS) for mapping the area where economically important loss is likely to occur (the endangered area). It has been designed by the PRATIQUE project to help pest risk analysts address the numerous risk mapping challenges and decide on the most suitable methods to follow. The introduction to the DSS indicates the time and expertise that is needed, the data requirements and the situations when mapping the endangered areas is most useful. The DSS itself has four stages. In stage 1, the key factors that influence the endangered area are identified, the data are assembled and, where appropriate, maps of the key factors are produced listing any significant assumptions. In stage 2, methods for combining these maps to identify the area of potential establishment and the area at highest risk from pest impacts are described, documenting any assumptions and combination rules utilised. When possible and appropriate, Stage 3 can then be followed to show whether economic loss will occur in the area at highest risk and to identify the endangered area. As required, Stage 4, described elsewhere, provides techniques for producing a dynamic picture of the invasion process using a suite of spread models. To illustrate how the DSS functions, a maize pest, Diabrotica virgifera virgifera, and a freshwater invasive alien plant, Eichhornia crassipes, have been used as examples.
dcterms:title
A decision-support scheme for mapping endangered areas in pest risk analysis A decision-support scheme for mapping endangered areas in pest risk analysis
skos:prefLabel
A decision-support scheme for mapping endangered areas in pest risk analysis A decision-support scheme for mapping endangered areas in pest risk analysis
skos:notation
RIV/00216208:11310/12:10130313!RIV13-MSM-11310___
n11:predkladatel
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n4:I
n3:aktivity
I
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1
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n6:2013
n3:domaciTvurceVysledku
n16:8841985
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n17:J
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
120155
n3:idVysledku
RIV/00216208:11310/12:10130313
n3:jazykVysledku
n18:eng
n3:klicovaSlova
DSS; mapping; decision-support scheme
n3:klicoveSlovo
n7:mapping n7:DSS n7:decision-support%20scheme
n3:kodStatuVydavatele
FR - Francouzská republika
n3:kontrolniKodProRIV
[9F67820A2536]
n3:nazevZdroje
EPPO Bulletin
n3:obor
n19:EF
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
17
n3:rokUplatneniVysledku
n6:2012
n3:svazekPeriodika
42
n3:tvurceVysledku
Brunel, S. Jarošík, Vojtěch Kehlenbeck, H. Dupin, M. Robinet, C. Reynaud, P. Benninga, J. Eyre, D. Ilieva, Z. Van der Werf, W. Bremmer, J. Kriticos, D. J. Baker, R. H. A. Pergl, J. Makowski, D. Worner, S. Soliman, T.
s:issn
0250-8052
s:numberOfPages
9
n15:doi
10.1111/j.1365-2338.2012.02545.x
n10:organizacniJednotka
11310