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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/210

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Title: Empirical evidence of spatial thresholds to control invasion of fungal parasites and saprotrophs
Authors: Otten, Wilfred
Bailey, Douglas J.
Gilligan, Christopher A.
Affiliation: University of Abertay Dundee. School of Contemporary Sciences
Keywords: Invasion thresholds
Biological control
Percolation
Rhizoctonia solani
Epidemiology
Issue Date: 2004
Publisher: Blackwell Publishing Ltd
Type: Journal Article
Refereed: peer-reviewed
Rights: Published version (c)Blackwell Publishing Ltd. For full bibliographic citation please refer to the version available at www3.interscience.wiley.com
Citation: Otten, W., Bailey, D. J. and Gilligan, C. A. 2004. Empirical evidence of spatial thresholds to control invasion of fungal parasites and saprotrophs. New Phytologist. 163(1): pp.125-132. [Online] Available from: DOI: 10.1111/j.1469-8137.2004.01086.x
Abstract: The ability to forecast invasion of harmful and beneficial organisms is becoming increasingly important in agricultural and horticultural production systems as well as in natural plant communities. • In this paper we examine the spread of a fungus through a population of discrete sites on a lattice, using replicable, yet stochastically variable experimental microcosms. • We combine epidemiological concepts to summarise fungal growth dynamics with percolation theory to derive and test the following hypotheses: first fungal invasion into a population of susceptible sites on a lattice can be stopped by a threshold proportion of randomly removed sites; second random removal of susceptible sites from a population introduces a shield which can prevent invasion of unprotected sites; and third the rate at which a susceptible population is invaded reduces with increasing number of randomly protected sites. • The broader consequences of thresholds for fungal invasion in natural and agricultural systems are discussed briefly.
URI: http://hdl.handle.net/10373/210
ISSN: 0028-646X
Appears in Collections:Science Engineering & Technology Collection
SIMBIOS Collection

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