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Using a self-organizing map to predict invasive species: sensitivity to data errors and a comparison with expert opinion

Paini, Dean R.; Worner, Susan P.; Cook, David; De Barro, P.; Thomas, Matthew B.

Description

Predicting which species are more likely to invade a region presents significant difficulties to researchers and government agencies. Methods for estimating the risk of establishment are often qualitative and rely on consultation with experts and stakeholders. The inherent subjectivity of this process can lead to ambiguities in any estimate of a species' risk of establishment. Using global presence/absence data of insect crop pests employed a self-organizing map (SOM) to categorize regions...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
URI: http://hdl.handle.net/1885/60644
Source: Journal of Applied Ecology
DOI: 10.1111/j.1365-2664.2010.01782.x

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