An integrated landscape modelling tool for simulating the dispersal syndromes of invasive plants

Surveillance for newly detected serious weed incursions is expensive and resource limited, and is often done on an 'ad hoc' basis. A novel way to improve the efficiency of surveillance efforts is to concentrate surveillance in areas that are more likely to contain the weed, or are more susceptible to invasion. These areas can be identified by replicating the various dispersal syndromes (wind, water, and roads) and plant life history factors that influence the spread of invasive plants. This paper presents a simulation system that replicates invasive plant spread across real landscapes for identifying areas susceptible to invasion. These areas can then be targeted for surveillance, potentially improving the success of containment and eradication efforts.

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