Pest and disease management: why we shouldn't go against the grain.
Identifieur interne : 001256 ( Main/Exploration ); précédent : 001255; suivant : 001257Pest and disease management: why we shouldn't go against the grain.
Auteurs : Peter Skelsey [Royaume-Uni] ; Kimberly A. With ; Karen A. GarrettSource :
- PloS one [ 1932-6203 ] ; 2013.
Descripteurs français
- KwdFr :
- Animaux (MeSH), Coléoptères (physiologie), Culex (physiologie), Interactions hôte-pathogène (physiologie), Lutte contre les nuisibles (méthodes), Maladies des plantes (microbiologie), Maladies transmissibles (épidémiologie), Modèles théoriques (MeSH), Phytophthora infestans (physiologie), Prise en charge de la maladie (MeSH), Pseudomonas syringae (physiologie), Répartition des animaux (physiologie), Vecteurs de maladies (MeSH).
- MESH :
- microbiologie : Maladies des plantes.
- méthodes : Lutte contre les nuisibles.
- physiologie : Coléoptères, Culex, Interactions hôte-pathogène, Phytophthora infestans, Pseudomonas syringae, Répartition des animaux.
- épidémiologie : Maladies transmissibles.
- Animaux, Modèles théoriques, Prise en charge de la maladie, Vecteurs de maladies.
English descriptors
- KwdEn :
- Animal Distribution (physiology), Animals (MeSH), Coleoptera (physiology), Communicable Diseases (epidemiology), Culex (physiology), Disease Management (MeSH), Disease Vectors (MeSH), Host-Pathogen Interactions (physiology), Models, Theoretical (MeSH), Pest Control (methods), Phytophthora infestans (physiology), Plant Diseases (microbiology), Pseudomonas syringae (physiology).
- MESH :
- epidemiology : Communicable Diseases.
- methods : Pest Control.
- microbiology : Plant Diseases.
- physiology : Animal Distribution, Coleoptera, Culex, Host-Pathogen Interactions, Phytophthora infestans, Pseudomonas syringae.
- Animals, Disease Management, Disease Vectors, Models, Theoretical.
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.
DOI: 10.1371/journal.pone.0075892
PubMed: 24098739
PubMed Central: PMC3786923
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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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. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24098739</PMID><DateCompleted><Year>2014</Year><Month>06</Month><Day>16</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>05</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>9</Issue><PubDate><Year>2013</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Pest and disease management: why we shouldn't go against the grain.</ArticleTitle><Pagination><MedlinePgn>e75892</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0075892</ELocationID><Abstract><AbstractText>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. 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Garrett</name><name sortKey="With, Kimberly A" sort="With, Kimberly A" uniqKey="With K" first="Kimberly A" last="With">Kimberly A. With</name></noCountry><country name="Royaume-Uni"><noRegion><name sortKey="Skelsey, Peter" sort="Skelsey, Peter" uniqKey="Skelsey P" first="Peter" last="Skelsey">Peter Skelsey</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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