Keeping ‘one step ahead’ of invasive species: using an integrated framework to screen and target species for detailed biosecurity risk assessment

Singh, Sunil K. and Ash, Gavin and Hodda, Mike (2015) Keeping ‘one step ahead’ of invasive species: using an integrated framework to screen and target species for detailed biosecurity risk assessment. Biological Invasions, 17 (4). pp. 1069-1086. ISSN 1387-3547

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Abstract

Predicting which species will become
invasive in each country or region before they arrive
is necessary to devise and implement measures for
minimising the costs of biological invasions. Metaphorically,
this is keeping one step ahead of invasive
species. A structured and systematic approach for
screening large numbers of species and identifying
those likely to become invasive is proposed in this
paper. The Pest Screening and Targeting (PeST)
framework integrates heterogeneous information and
data on species biogeography, biotic and abiotic
factors to first determine a preliminary risk index,
then uses this index to identify species for a second,
more detailed, risk evaluation process to provide a
final ranking. Using the PeST framework, 97 species
of plant-parasitic nematodes were evaluated for their
biosecurity risks to Australia. The species identified as
greatest risks included both previously unrecognised
and currently-recognised species. The former included
Heterodera zeae, Meloidogyne graminicola, M. enterolobii,
M. chitwoodi and Scutellonema bradys,
while the latter included Bursaphelenchus xylophilus,
Ditylenchus destructor, Globodera pallida, Heterodera
glycines and H. filipjevi. Of the ten criteria used
in the PeST framework, emerging pest status, pathogenicity,
host range and species biogeography most
strongly influenced overall risk. The PeST framework
also identified species where research to fill in critical
knowledge gaps will be most beneficial (e.g. Globodera
tabacum, Heterodera cajani, H. filipjevi, Meloidogyne
ethiopica, Pratylenchus fallax and P.
sudanensis). Where data were available, the information
and associated metadata gathered for the PeST
framework can be used to guide biosecurity decision
making; determine species which require pre border
certification and target sampling at the borders.

Item Type:	Journal Article
Subjects:	Q Science > Q Science (General) S Agriculture > S Agriculture (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Biological and Chemical Sciences
Depositing User:	Fulori Nainoca - Waqairagata
Date Deposited:	17 Oct 2016 04:38
Last Modified:	17 Oct 2016 04:38
URI:	https://repository.usp.ac.fj/id/eprint/9404

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