Individual-based models

Chon, T.-S.; Lee, Sangeun; Jeoung, C.; Cho, H.K.; Lee, Seung Ho; Chung, Y.

doi:10.2495/978-1-84564-207-5/07

Cited by 2 publications

(8 citation statements)

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“…Although previous IBM studies have been applied to PWD using Gaussian distribution (Takasu, 2009 ) and Lévy flight (Chon et al, 2009 ), this type of step function has never been incorporated into IBMs. Pairwise distances and correlation functions were specifically effective at different spatial scales in presenting closeness to field data at the population level; the pair correlation function was effective at revealing the model performance over short distances, while pairwise distance represented the fitting at long distances in a broad range ( Figures 3 , 4 ).…”

Section: Discussionmentioning

confidence: 99%

“…The model was developed according to IBM guidelines, such as process overview, system definition, state variables, rules of life events, and stochasticity (Grimm et al, 2006 ; Chon et al, 2009 ).…”

Section: Methodsmentioning

confidence: 99%

“…Spatially explicit movement of sawyer beetles has not been extensively reported. However, other studies have adopted a theoretical distribution, such as Gaussian (Takasu, 2009 ) and Lévy flight (Chon et al, 2009 ), as the dispersal kernel for sawyer beetle movements.…”

Section: Methodsmentioning

confidence: 99%

“…Regarding IBMs applied to PWD, Takasu ( 2009 ) linked vector beetle mobility to demonstrate the importance of the Allee effect by considering mechanistic interactions at the individual level. The IBMs were further developed by incorporating the Lévy flight of pine sawyer beetles to disperse PWD (Chon et al, 2009 ). We aimed to incorporate spatially explicit movement patterns of vector beetle individuals to introduce PWD expansion in forests to evaluate control practices.…”

Section: Introductionmentioning

confidence: 99%

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Simulating Pine Wilt Disease Dispersal With an Individual-Based Model Incorporating Individual Movement Patterns of Vector Beetles

Xia

Chon²,

Takasu

et al. 2022

Front. Plant Sci.

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Individual movements of the insect vector pine sawyer beetles were incorporated into an individual-based model (IBM) to elucidate the dispersal of pine wilt disease (PWD) and demonstrate the effects of control practices. The model results were compared with the spatial data of infested pine trees in the Gijang-gun area of Busan, Republic of Korea. Step functions with long- and middle-distance movements of individual beetles effectively established symptomatic and asymptomatic trees for the dispersal of PWD. Pair correlations and pairwise distances were suitable for evaluating PWD dispersal between model results and field data at short and long scales, respectively. The accordance between model and field data was observed in infestation rates at 0.08 and 0.09 and asymptomatic rates at 0.16–0.17 for disease dispersal. Eradication radii longer than 20 m would effectively control PWD dispersal for symptomatic transmission and 20–40 m for asymptomatic transmission. However, the longer eradication radii were more effective at controlling PWD. Therefore, to maximize control effects, a longer radius of at least 40 m is recommended for clear-cutting eradication. The IBM of individual movement patterns provided practical information on interlinking the levels of individuals and populations and could contribute to the monitoring and management of forest pests where individual movement is important for population dispersal.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulating Pine Wilt Disease Dispersal With an Individual-Based Model Incorporating Individual Movement Patterns of Vector Beetles

Xia

Chon²,

Takasu

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

show abstract

“…Regarding IBMs applied to PWD, Takasu ( 2009) linked vector beetle mobility to demonstrate the importance of the Allee effect by considering mechanistic interactions at the individual level. The IBMs were further developed by incorporating the Lévy flight of pine sawyer beetles to disperse PWD (Chon et al, 2009). We aimed to incorporate spatially explicit movement patterns of vector beetle individuals to introduce PWD expansion in forests to evaluate control practices.…”

Section: Introductionmentioning

confidence: 99%

Global Occurrence of Pine Wilt Disease: Biological Interactions and Integrated Management

2022

Frontiers Research Topics

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The compilation of articles constituting this eBook is the property of Frontiers.Each article within this eBook, and the eBook itself, are published under the most recent version of the Creative Commons CC-BY licence. The version current at the date of publication of this eBook is CC-BY 4.0. If the CC-BY licence is updated, the licence granted by Frontiers is automatically updated to the new version.When exercising any right under the CC-BY licence, Frontiers must be attributed as the original publisher of the article or eBook, as applicable.Authors have the responsibility of ensuring that any graphics or other materials which are the property of others may be included in the CC-BY licence, but this should be checked before relying on the CC-BY licence to reproduce those materials. Any copyright notices relating to those materials must be complied with.

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Individual-based models

Cited by 2 publications

References 0 publications

Simulating Pine Wilt Disease Dispersal With an Individual-Based Model Incorporating Individual Movement Patterns of Vector Beetles

Simulating Pine Wilt Disease Dispersal With an Individual-Based Model Incorporating Individual Movement Patterns of Vector Beetles

Global Occurrence of Pine Wilt Disease: Biological Interactions and Integrated Management

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