Pest and disease management: why we shouldn’t go against the grain

K-REx Repository

Show simple item record

dc.contributor.author Skelsey, Peter
dc.contributor.author With, Kimberly A.
dc.contributor.author Garrett, Karen A.
dc.date.accessioned 2013-11-19T22:15:06Z
dc.date.available 2013-11-19T22:15:06Z
dc.date.issued 2013-11-19
dc.identifier.uri http://hdl.handle.net/2097/16832
dc.description.abstract Given the wide range of scales and mechanisms by which pest or disease agents disperse, it is unclear whether there might exist a general relationship between scale of host heterogeneity and spatial spread that could be exploited by available management options. In this model-based study, we investigate the interaction between host distributions and the spread of pests and diseases using an array of models that encompass the dispersal and spread of a diverse range of economically important species: a major insect pest of coniferous forests in western North America, the mountain pine beetle (Dendroctonus ponderosae); the bacterium Pseudomonas syringae, one of the most-widespread and best-studied bacterial plant pathogens; the mosquito Culex erraticus, an important vector for many human and animal pathogens, including West Nile Virus; and the oomycete Phytophthora infestans, the causal agent of potato late blight. Our model results reveal an interesting general phenomenon: a unimodal (‘humpbacked’) relationship in the magnitude of infestation (an index of dispersal or population spread) with increasing grain size (i.e., the finest scale of patchiness) in the host distribution. Pest and disease management strategies targeting different aspects of host pattern (e.g., abundance, aggregation, isolation, quality) modified the shape of this relationship, but not the general unimodal form. This is a previously unreported effect that provides insight into the spatial scale at which management interventions are most likely to be successful, which, notably, do not always match the scale corresponding to maximum infestation. Our findings could provide a new basis for explaining historical outbreak events, and have implications for biosecurity and public health preparedness. en_US
dc.language.iso en_US en_US
dc.relation.uri http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0075892 en_US
dc.subject Host distributions en_US
dc.subject Pests en_US
dc.subject Diseases en_US
dc.subject Dispersal en_US
dc.subject Dendroctonus ponderosae en_US
dc.subject Pseudomonas syringae en_US
dc.subject Culex erraticus en_US
dc.subject Phytophthora infestans en_US
dc.title Pest and disease management: why we shouldn’t go against the grain en_US
dc.type Article (publisher version) en_US
dc.date.published 2013 en_US
dc.citation.doi doi:10.1371/ journal.pone.0075892 en_US
dc.citation.issue 9 en_US
dc.citation.jtitle PLoS ONE en_US
dc.citation.spage e75892 en_US
dc.citation.volume 8 en_US
dc.contributor.authoreid kwith en_US
dc.contributor.authoreid kgarrett en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search K-REx


Advanced Search

Browse

My Account

Statistics








Center for the

Advancement of Digital

Scholarship

118 Hale Library

Manhattan KS 66506


(785) 532-7444

cads@k-state.edu