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The red top model: A landscape scal...

Heavilin, Justin.

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The red top model: A landscape scale integrodifference equation model of the mountain pine beetle-lodgepole pine forest interaction.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The red top model: A landscape scale integrodifference equation model of the mountain pine beetle-lodgepole pine forest interaction./
Author:	Heavilin, Justin.
Description:	95 p.
Notes:	Adviser: James Powell.
Contained By:	Dissertation Abstracts International68-02B.
Subject:	Agriculture, Forestry and Wildlife. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252266

The red top model: A landscape scale integrodifference equation model of the mountain pine beetle-lodgepole pine forest interaction.
Heavilin, Justin.

The red top model: A landscape scale integrodifference equation model of the mountain pine beetle-lodgepole pine forest interaction. - 95 p.

Adviser: James Powell.

Thesis (Ph.D.)--Utah State University, 2007.

Under normative conditions the mountain pine beetle (Dendroctonus ponderosae Hopkins) has played a regulating role in healthy lodgepole pine (Pines contorta) forests. However, recently eruptive outbreaks that result from large pine beetle populations have destroyed vast tracts of valuable forest. The outbreaks in North America have received a great deal of attention from both the timber industry and government agencies as well as biologists and ecologists.Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

The red top model: A landscape scale integrodifference equation model of the mountain pine beetle-lodgepole pine forest interaction.
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035 $a (UMI)AAI3252266
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040 $a UMI $c UMI
100 1 $a Heavilin, Justin. $3 1292460
245 1 4 $a The red top model: A landscape scale integrodifference equation model of the mountain pine beetle-lodgepole pine forest interaction.
300 $a 95 p.
500 $a Adviser: James Powell.
500 $a Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 1052.
502 $a Thesis (Ph.D.)--Utah State University, 2007.
520 $a Under normative conditions the mountain pine beetle (Dendroctonus ponderosae Hopkins) has played a regulating role in healthy lodgepole pine (Pines contorta) forests. However, recently eruptive outbreaks that result from large pine beetle populations have destroyed vast tracts of valuable forest. The outbreaks in North America have received a great deal of attention from both the timber industry and government agencies as well as biologists and ecologists.
520 $a In this dissertation we develop a landscape-scaled integrodifference equation model describing the mountain pine beetle and its effect on a lodgepole pine forest. The model is built upon a stage-structured model of a healthy lodgepole pine forest with the addition of beetle pressure in the form of an infected tree class. These infected trees are produced by successful beetle attack, modelled by response functions. Different response functions reflect different probabilities for various densities. This feature of the model allows us to test hypotheses regarding density-dependent beetle attacks.
520 $a To capture the spatial aspect of beetle dispersal from infected trees we employ dispersal kernels. These provide a probabilistic model for finding given beetle densities at some distance from infected trees. Just as varied response functions model different attack dynamics, the choice of kernel can model different dispersal behavior. The modular nature of the Red Top Model yields multiple model candidates. These models allow discrimination between broad possibilities at the landscape scale: whether or not beetles are subject to a threshold effect at the landscape scale and whether or not host selection is random or directed. We fit the model using estimating functions to two distinct types of data: aerial damage survey data and remote sensing imagery. Having constructed multiple models, we introduce a novel model selection methodology for spatial models based on facial recognition technology.
520 $a Because the regions and years of aerial damage survey and remote sensing data in the Sawtooth National Recreation Area overlap, we can compare the results from data sets to address the question of whether remote sensing data actually provides insight to the system that coarser scale but less expensive and more readily available aerial damage survey data does not.
590 $a School code: 0241.
650 4 $a Agriculture, Forestry and Wildlife. $3 783690
650 4 $a Agriculture, Plant Pathology. $3 1028950
650 4 $a Biology, Entomology. $3 1018619
650 4 $a Biology, Zoology. $3 1018632
650 4 $a Statistics. $3 517247
690 $a 0353
690 $a 0463
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690 $a 0478
690 $a 0480
710 2 0 $a Utah State University. $3 960049
773 0 $t Dissertation Abstracts International $g 68-02B.
790 $a 0241
790 1 0 $a Powell, James, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252266