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Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks./
作者:	Gallagher, Molly E.
面頁冊數:	1 online resource (77 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
Contained By:	Dissertation Abstracts International78-12B(E).
標題:	Ecology. -
電子資源:	click for full text (PQDT)
ISBN:	9780355078107

Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks.
Gallagher, Molly E.

Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks. - 1 online resource (77 pages)

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.

Thesis (Ph.D.)--The University of Chicago, 2017.

Includes bibliographical references

Effectively managing outbreaks of defoliating insects requires an understanding of the factors regulating outbreaks, which in turn requires mechanistic models. Classical models of insect defoliators include only density-dependent attacks by natural insect enemies, but variation in host plant quality can also strongly affect defoliator survival. I have combined model fitting with field experiments and observational data collection to identify the mechanisms driving the complex dynamics of the forest defoliator jack pine budworm (Choristoneura pinus). I collected data in outbreaking budworm populations from 2012--2015, recording budworm density, rates of parasitism, tree quality, and climate measurements, as well as conducting parasitoid exclusion experiments. I fit mechanistic models to my observational and experimental data on jack pine budworm outbreaks, using non-linear differential equations. The results show that drivers of budworm population dynamics include direct density-dependence, density-dependent parasitoid attacks, and the effects of plant quality. I then embedded my model of larval mortality into an annual model of insect population dynamics and their interactions with jack pine trees and forest fires. This model shows that the influence of plant quality directly affects the period of insect outbreaks, which in turn changes the interval between forest fire events. My results indicate that before we can make predictions about the effects of climate change on fire frequency and forest health, we must understand effects of defoliating insects.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355078107Subjects--Topical Terms:

575279
Ecology.
Index Terms--Genre/Form:

554714
Electronic books.

Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks.
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500 $a Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
500 $a Adviser: Greg Dwyer.
502 $a Thesis (Ph.D.)--The University of Chicago, 2017.
504 $a Includes bibliographical references
520 $a Effectively managing outbreaks of defoliating insects requires an understanding of the factors regulating outbreaks, which in turn requires mechanistic models. Classical models of insect defoliators include only density-dependent attacks by natural insect enemies, but variation in host plant quality can also strongly affect defoliator survival. I have combined model fitting with field experiments and observational data collection to identify the mechanisms driving the complex dynamics of the forest defoliator jack pine budworm (Choristoneura pinus). I collected data in outbreaking budworm populations from 2012--2015, recording budworm density, rates of parasitism, tree quality, and climate measurements, as well as conducting parasitoid exclusion experiments. I fit mechanistic models to my observational and experimental data on jack pine budworm outbreaks, using non-linear differential equations. The results show that drivers of budworm population dynamics include direct density-dependence, density-dependent parasitoid attacks, and the effects of plant quality. I then embedded my model of larval mortality into an annual model of insect population dynamics and their interactions with jack pine trees and forest fires. This model shows that the influence of plant quality directly affects the period of insect outbreaks, which in turn changes the interval between forest fire events. My results indicate that before we can make predictions about the effects of climate change on fire frequency and forest health, we must understand effects of defoliating insects.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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