A population and energy model of a forest insect outbreak

Iskhakov, T. R.; Суховольский, В Г; Ovchinnikova, T. M.; Тарасова, О. В.

doi:10.1134/s0006350907040161

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…It is known from the literature that populations of forest insects can be well described by parametric models that predict the population size under various environmental conditions [1]. At the same time, any numerical predictions based on parametric theoretical models must be validated on the basis of field data, which makes it possible to determine the list of model inputs, parameters, and constants [2][3][4][5]. The number of field measurements is usually limited and not always sufficient to calibrate the models that describe the dynamics of the process.…”

Section: Introductionmentioning

confidence: 99%

Spatial Dynamics of Tree Stand Disturbance under Siberian Silk Moth (Dendrolimus sibiricus) Impact in Central Siberia in 2016–2020 Based on Remote Sensing Data

Пономарев

Goroshko

Shvetsov

et al. 2022

The 3rd International Electronic Conference on Forests—Exploring New Discoveries and New Directions in Forests

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Section: Introductionmentioning

confidence: 99%

Spatial Dynamics of Tree Stand Disturbance under Siberian Silk Moth (Dendrolimus sibiricus) Impact in Central Siberia in 2016–2020 Based on Remote Sensing Data

Пономарев

Goroshko

Shvetsov

et al. 2022

The 3rd International Electronic Conference on Forests—Exploring New Discoveries and New Directions in Forests

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Principles of Simulation of Invasion Stages with Allowance for Solar Cycles

Mikhailov,

Perevaryukha,

Trofimova

2023

Tech. Phys. Lett.

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Remote Sensing Assessment and Modeling of the Spatial Dynamics of Tree Stand Disturbance after the Impact of Siberian Silk Moth (Dendrolimus sibiricus)

Пономарев

Shvetsov

Yakimov

et al. 2023

Forests

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In this study, we have analyzed tree stand disturbance by hthe Siberian Silk Moth (Dendrolimus sibiricus Tschetverikov (Lepidoptera: Lasiocampidae)) in Central Siberia (Krasnoyarsk region, Russia) in 2015–2020. We considered two plots that experienced silk moth outbreaks in 2015–2018 and 2018–2020 and used satellite data (Terra/MODIS, Landsat/ETM/OLI), field forest inventory data, a meteorological data set, and a vegetation cover vector layer. Silk moth-disturbed areas were classified using NDVI, which was calculated for each 15-day period during the growing season (April–September). We obtained formalized descriptions of the temporal dynamics of the disturbed area. Next, we classified the degree of disturbance of the forest stand after the impact of the silk moth by the threshold method according to the ranges of NDVI anomalies. Based on the generalized data from the forest inventory, we performed a correlation analysis of the relationship between the main characteristics of forests and the classes of disturbance. Finally, using a series of regression equations, we described a procedure for predicting the degree of impact on the stand during the time of silk moth outbreaks in the dark-needle coniferous stands of Central Siberia.

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A population and energy model of a forest insect outbreak

Cited by 3 publications

References 14 publications

Spatial Dynamics of Tree Stand Disturbance under Siberian Silk Moth (Dendrolimus sibiricus) Impact in Central Siberia in 2016–2020 Based on Remote Sensing Data

Spatial Dynamics of Tree Stand Disturbance under Siberian Silk Moth (Dendrolimus sibiricus) Impact in Central Siberia in 2016–2020 Based on Remote Sensing Data

Principles of Simulation of Invasion Stages with Allowance for Solar Cycles

Remote Sensing Assessment and Modeling of the Spatial Dynamics of Tree Stand Disturbance after the Impact of Siberian Silk Moth (Dendrolimus sibiricus)

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