TY  - JOUR
A1  - Baker, Richard H. A.
A1  - Eyre, Dominic
A1  - Brunel, Sarah
T1  - Matching methods to produce maps for pest risk analysis to resources
T2  - NeoBiota
N2  - 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.
KW  - Pest risk mapping
KW  - area of potential establishment
KW  - area at highest risk
KW  - endangered area
KW  - Phytophthora austrocedrae
KW  - Drosophila suzukii
KW  - Thaumatotibia leucotreta
KW  - Thaumetopoea pityocampa
Y1  - 2013
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/32428
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-324288
SN  - 1314-2488
IS  - 18
SP  - 25
EP  - 40
ER  -