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Resumen
Insect outbreaks are a common multicausal population phenomenon that is characterised by a fast growth of the population, followed by an equally sudden collapse in a relatively short period in the manner of an excitable system. If the outbreaking insect is herbivorous or attacks trees or plants as a part of its life cycle, this phenomenon causes a major impact on the plant’s population. As a consequence, outbreaks are a major cause of vegetation loss and [ver mas...]
dc.contributor.authorBruzzone, Octavio Augusto
dc.contributor.authorRighetti, Tomás
dc.contributor.authorFaltlhauser, Ana Claudia
dc.contributor.authorAguirre, María Belén
dc.contributor.authorSosa, Alejandro Joaquin
dc.date.accessioned2023-07-04T19:56:56Z
dc.date.available2023-07-04T19:56:56Z
dc.date.issued2023-06
dc.identifier.issn1874-1746
dc.identifier.otherhttps://doi.org/10.1007/s12080-023-00553-5
dc.identifier.urihttp://hdl.handle.net/20.500.12123/14696
dc.identifier.urihttps://link.springer.com/article/10.1007/s12080-023-00553-5
dc.description.abstractInsect outbreaks are a common multicausal population phenomenon that is characterised by a fast growth of the population, followed by an equally sudden collapse in a relatively short period in the manner of an excitable system. If the outbreaking insect is herbivorous or attacks trees or plants as a part of its life cycle, this phenomenon causes a major impact on the plant’s population. As a consequence, outbreaks are a major cause of vegetation loss and tree mortality in ecosystems. Among the several causes of outbreaks, climatic/environmental variation is one of the most important. For example, droughts can weaken plant defences making them more susceptible to insect herbivore attacks. As the climatic-driven effects on plant populations are correlated to time and space, not only the type of variability but also its magnitude, are of key importance for the appearance of this phenomenon. In theoretical studies, noise colour is usually used as a proxy to represent the variability of forcing external variables, such as climate. In this study, we conducted a series of simulations using a spatially explicit model to analyse the effect of combining several types of spatial and temporal environmental noise colours (red, pink, white, blue, violet, and grey) on the frequency of outbreaks. We found that the frequency of outbreaks increased with the autocorrelation of noise. The combination of spatial and temporal white noise showed a low-risk scenario, while pink noise had a much higher frequency of this phenomenon. However, the combination of spatial grey noise (a noise composed of both low and high frequencies), with temporal low-frequency noise, resulted in all simulations causing severe outbreaks. We suggest two explanations for this. On one hand, the presence of high-frequency noise gave the herbivore the ability to percolate through refugees caused by the low-frequency noise; and, on the other hand, low-frequency temporal noise gave the herbivore time to kill all simulated host plants.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceTheoretical Ecology 16 : 35-45. (2023)es_AR
dc.subjectInsectos Dañinoses_AR
dc.subjectPest Insectseng
dc.subjectDinámica de Poblacioneses_AR
dc.subjectPopulation Dynamicseng
dc.subjectDistribución Espaciales_AR
dc.subjectSpatial Distributioneng
dc.subjectRuidoes_AR
dc.subjectNoiseeng
dc.subject.otherRuido de Alta Frecuenciaes_AR
dc.subject.otherRuido de Baja Frecuenciaes_AR
dc.titleEffect of temporal and spatial noise colour in insect outbreak frequencyes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Barilochees_AR
dc.description.filFil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científica y Técnicas; Argentinaes_AR
dc.description.filFil: Righetti, Tomás. Fundación para el Estudio de Especies Invasivas; Argentinaes_AR
dc.description.filFil: Righetti, Tomás. Consejo Nacional de Investigaciones Científica y Técnicas; Argentinaes_AR
dc.description.filFil: Faltlhauser, Ana Claudia. Fundación para el Estudio de Especies Invasivas; Argentinaes_AR
dc.description.filFil: Faltlhauser, Ana Claudia. Consejo Nacional de Investigaciones Científica y Técnicas; Argentinaes_AR
dc.description.filFil: Aguirre, María Belén. Fundación para el Estudio de Especies Invasivas; Argentinaes_AR
dc.description.filFil: Sosa, Alejandro Joaquin. Fundación para el Estudio de Especies Invasivas; Argentinaes_AR
dc.description.filFil: Sosa, Alejandro Joaquin. Consejo Nacional de Investigaciones Científica y Técnicas; Argentinaes_AR
dc.subtypecientifico


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