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

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 investi...

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Autores principales:	Peter Skelsey, Kimberly A With, Karen A Garrett
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/90ad9ee716a64a5dbf10227fdb3b8d7f
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spelling	oai:doaj.org-article:90ad9ee716a64a5dbf10227fdb3b8d7f2021-11-18T08:53:14ZPest and disease management: why we shouldn't go against the grain.1932-620310.1371/journal.pone.0075892https://doaj.org/article/90ad9ee716a64a5dbf10227fdb3b8d7f2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24098739/?tool=EBIhttps://doaj.org/toc/1932-6203Given 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.Peter SkelseyKimberly A WithKaren A GarrettPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 9, p e75892 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Peter Skelsey Kimberly A With Karen A Garrett Pest and disease management: why we shouldn't go against the grain.
description	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.
format	article
author	Peter Skelsey Kimberly A With Karen A Garrett
author_facet	Peter Skelsey Kimberly A With Karen A Garrett
author_sort	Peter Skelsey
title	Pest and disease management: why we shouldn't go against the grain.
title_short	Pest and disease management: why we shouldn't go against the grain.
title_full	Pest and disease management: why we shouldn't go against the grain.
title_fullStr	Pest and disease management: why we shouldn't go against the grain.
title_full_unstemmed	Pest and disease management: why we shouldn't go against the grain.
title_sort	pest and disease management: why we shouldn't go against the grain.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/90ad9ee716a64a5dbf10227fdb3b8d7f
work_keys_str_mv	AT peterskelsey pestanddiseasemanagementwhyweshouldntgoagainstthegrain AT kimberlyawith pestanddiseasemanagementwhyweshouldntgoagainstthegrain AT karenagarrett pestanddiseasemanagementwhyweshouldntgoagainstthegrain
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Pest and disease management: why we shouldn't go against the grain.

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