Matching methods to produce maps for pest risk analysis to resources

  • Decision support systems (DSSs) for pest risk mapping are invaluable for guiding pest risk analysts seeking to add maps to pest risk analyses (PRAs). Maps can help identify the area of potential establishment, the area at highest risk and the endangered area for alien plant pests. However, the production of detailed pest risk maps may require considerable time and resources and it is important to match the methods employed to the priority, time and detail required. In this paper, we apply PRATIQUE DSSs to Phytophthora austrocedrae, a pathogen of the Cupressaceae, Thaumetopoea pityocampa, the pine processionary moth, Drosophila suzukii, spotted wing Drosophila, and Thaumatotibia leucotreta, the false codling moth. We demonstrate that complex pest risk maps are not always a high priority and suggest that simple methods may be used to determine the geographic variation in relative risks posed by invasive alien species within an area of concern.

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Metadaten
Author:Richard H. A. Baker, Dominic Eyre, Sarah Brunel
URN:urn:nbn:de:hebis:30:3-324288
DOI:https://doi.org/10.3897/neobiota.18.4056
ISSN:1314-2488
Parent Title (English):NeoBiota
Document Type:Article
Language:English
Date of Publication (online):2013/11/22
Date of first Publication:2013/09/13
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2013/11/22
Tag:Drosophila suzukii; Pest risk mapping; Phytophthora austrocedrae; Thaumatotibia leucotreta; Thaumetopoea pityocampa; area at highest risk; area of potential establishment; endangered area
Issue:18
Page Number:16
First Page:25
Last Page:40
HeBIS-PPN:363316086
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:Sammlung Biologie / Sondersammelgebiets-Volltexte
Zeitschriften / Jahresberichte:NeoBiota / NeoBiota 18
:urn:nbn:de:hebis:30:3-321124
Licence (German):License LogoCreative Commons - Namensnennung 3.0