Literature DB >> 25976694

A Model for Mountain Pine Beetle Outbreaks in an Age-Structured Forest: Predicting Severity and Outbreak-Recovery Cycle Period.

Jacob P Duncan1, James A Powell, Luis F Gordillo, Joseph Eason.   

Abstract

The mountain pine beetle (MPB, Dendroctonus ponderosae), a tree-killing bark beetle, has historically been part of the normal disturbance regime in lodgepole pine (Pinus contorta) forests. In recent years, warm winters and summers have allowed MPB populations to achieve synchronous emergence and successful attacks, resulting in widespread population outbreaks and resultant tree mortality across western North America. We develop an age-structured forest demographic model that incorporates temperature-dependent MPB infestations. Stability of fixed points is analyzed as a function of (thermally controlled) MPB population growth rates and indicates the existence of periodic outbreaks that intensify as growth rates increase. We devise analytical methods to predict outbreak severity and duration as well as outbreak return time. After incorporating a spatial aspect and controlling initial stand demographic variation, the model predicts cycle periods that fall within observed outbreak return time ranges. To assess future MPB impact on forests, we use climate model projected temperatures with our model-based approximation methods to predict potential severity of future outbreaks that reflect the effects of changing climate.

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Year:  2015        PMID: 25976694     DOI: 10.1007/s11538-015-0085-5

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  2 in total

1.  Fire mitigates bark beetle outbreaks in serotinous forests.

Authors:  Peter C Jentsch; Chris T Bauch; Madhur Anand
Journal:  Theor Ecol       Date:  2021-07-08       Impact factor: 1.432

2.  Maximizing tree harvesting benefit from forests under insect infestation disturbances.

Authors:  Maria C A Leite; Benito Chen-Charpentier; Folashade B Agusto
Journal:  PLoS One       Date:  2018-08-02       Impact factor: 3.240

  2 in total

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