Idioma:

PESTonFARM – stochastic model of on‐farm insect behaviour and their response to IPM interventions

Lux, S. A

Journal of applied entomology (1986), 2014-07, Vol.138 (6), p.458-467 [Periódico revisado por pares]

Berlin: Blackwell Wissenschafts-Verlag

Texto completo disponível

Citações Citado por

Enviar para

Título:
PESTonFARM – stochastic model of on‐farm insect behaviour and their response to IPM interventions
Autor: Lux, S. A
Assuntos: agent-based ; Biological and medical sciences ; biological control ; cellular automata ; cherry fruit fly ; computer software ; cost-benefit ; Drosophila ; Farms ; Fundamental and applied biological sciences. Psychology ; insect behavior ; insects ; integrated pest management ; integrated pest management, cost‐benefit ; landscapes ; life history ; pattern-oriented ; Pest control ; pesticides ; pests ; Phytopathology. Animal pests. Plant and forest protection ; precision agriculture ; Protozoa. Invertebrates ; Prunus ; Rhagoletis ; Rhagoletis cerasi ; Rhagoletis cingulata ; stochastic processes
É parte de: Journal of applied entomology (1986), 2014-07, Vol.138 (6), p.458-467
Notas: http://dx.doi.org/10.1111/jen.12083
European Commission - No. FP7-MC-IRG-208856; No. FP7-REGPOT-286093
istex:4603013EFFD6E94AC0A059394D04C8A158088859
ArticleID:JEN12083
ark:/67375/WNG-LWTRFMP8-K
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: PESTonFARM is an agent‐based pattern‐oriented model with elements of cellular automata, developed to simulate insect behaviour within seasonally changing mosaic of farming landscapes, under the challenge of Integrated Pest Management (IPM) actions. The model is based on a software construct (‘virtual insect’), acting according to a pre‐defined set of behavioural rules. Each ‘virtual insect’ acts independently, developing its individually unique behavioural sequence and life history. The local on‐farm conditions and the planned IPM interventions can be represented through user‐defined spatial and temporal parameters. Incompatibility among IPM treatments, for example, pesticide vs. biological control, also could be taken into account. Unit costs of IPM interventions and crop values can be specified to obtain cost/benefit assessments for each IPM scenario. The model emulates the behaviour of a pest population during a virtual IPM experiment, and each run generates stochastically equivalent but unique sets of results, which functionally correspond to a replication of an on‐farm experiment. By taking into account the local farm structures and their spatiotemporal variations the model alludes to the concept of ‘precision agriculture’. Once customized to the local conditions and validated, the model can support site‐specific forecasting, decision‐making and training, serving as a component of the ‘precision IPM’ toolbox. To demonstrate the concept, an example of the model application in management of the cherry fruit fly, Rhagoletis cherasi, is briefly presented and discussed.
Editor: Berlin: Blackwell Wissenschafts-Verlag
Idioma: Inglês

Links

View record in Pascal Francis

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

PESTonFARM – stochastic model of on‐farm insect behaviour and their response to IPM interventions

Lux, S. A

Berlin: Blackwell Wissenschafts-Verlag

Buscando em bases de dados remotas. Favor aguardar.