A suite of models to support the quantitative assessment of spread in pest risk analysis

Pest Risk Analyses (PRAs) are conducted worldwide to decide whether and how exotic plant pests should be regulated to prevent invasion. There is an increasing demand for science-based risk mapping in PRA. Spread plays a key role in determining the potential distribution of pests, but there is no sui...

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Veröffentlicht in:	PloS one 2012-10, Vol.7 (10), p.e43366-e43366
Hauptverfasser:	Robinet, Christelle, Kehlenbeck, Hella, Kriticos, Darren J, Baker, Richard H A, Battisti, Andrea, Brunel, Sarah, Dupin, Maxime, Eyre, Dominic, Faccoli, Massimo, Ilieva, Zhenya, Kenis, Marc, Knight, Jon, Reynaud, Philippe, Yart, Annie, van der Werf, Wopke
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Algorithms Animal behavior Animal biology Animals asterisk Biology Climate Climate models Coleoptera - physiology Computer Science Computer Simulation Corn Data processing Diabrotica Diabrotica virgifera virgifera economic-impact Ecosystem Eichhornia crassipes Europe Familiarity Food Geography Habitat Health risks Host-Parasite Interactions Initial conditions Insect Control - methods Insect Control - statistics & numerical data Insects Introduced species invasions Invasive species Life Sciences long-distance dispersal Mapping Models, Biological Natural resources Nematoda Nematodes Parameter estimation Pathogens Pests pitch canker Plants (botany) Plants - parasitology Population biology Population Dynamics population expansion Risk analysis Risk Assessment Spatial distribution Taxa Vegetal Biology western corn-rootworm Zea mays - parasitology
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