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State-dependent life history evoluti...
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Shertzer, Kyle William.
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State-dependent life history evolution and predator -prey population dynamics.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
State-dependent life history evolution and predator -prey population dynamics./
作者:
Shertzer, Kyle William.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2001,
面頁冊數:
132 p.
附註:
Source: Dissertation Abstracts International, Volume: 62-05, Section: B, page: 2162.
Contained By:
Dissertation Abstracts International62-05B.
標題:
Ecology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3012283
ISBN:
9780493235134
State-dependent life history evolution and predator -prey population dynamics.
Shertzer, Kyle William.
State-dependent life history evolution and predator -prey population dynamics.
- Ann Arbor : ProQuest Dissertations & Theses, 2001 - 132 p.
Source: Dissertation Abstracts International, Volume: 62-05, Section: B, page: 2162.
Thesis (Ph.D.)--North Carolina State University, 2001.
Evolution and population dynamics are inextricably intertwined. Changes in population density can affect the environment and thereby alter the selection regime on life history traits. Conversely, evolution of life history traits, such as birth/death rates and age/size at maturity, has consequences for how population numbers change over time. This dissertation uses mathematical models and computer simulations to explore how variability in resource supplies affects state-dependent life history evolution and also how evolution affects population dynamics. It consists of three independent manuscripts, each of which uses as a model system the planktonic rotifer, Brachionus calyciflorus, preying on green algae, Chlorella vulgaris..
ISBN: 9780493235134Subjects--Topical Terms:
516476
Ecology.
State-dependent life history evolution and predator -prey population dynamics.
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Source: Dissertation Abstracts International, Volume: 62-05, Section: B, page: 2162.
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Thesis (Ph.D.)--North Carolina State University, 2001.
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Evolution and population dynamics are inextricably intertwined. Changes in population density can affect the environment and thereby alter the selection regime on life history traits. Conversely, evolution of life history traits, such as birth/death rates and age/size at maturity, has consequences for how population numbers change over time. This dissertation uses mathematical models and computer simulations to explore how variability in resource supplies affects state-dependent life history evolution and also how evolution affects population dynamics. It consists of three independent manuscripts, each of which uses as a model system the planktonic rotifer, Brachionus calyciflorus, preying on green algae, Chlorella vulgaris..
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Chapter 1 utilizes a dynamic energy budget model to track the flow of energy through individual rotifers. In the model, assimilated energy is allocated between new growth, energy reserves, and reproductive effort in proportions determined by the organism's physiological state. The model is used to generate testable predictions regarding how variability in food affects life history strategies. Chapter 2 extends the individual-based model in chapter 1 by scaling up to the population level. Invasibility analyses are used to predict evolutionary stable strategies of energy allocation. With the evolution of energy storage, population dynamics can shift from aperiodic to stable cycles. Chapter 3 examines various biological hypotheses for consistency with predator-prey dynamics observed in a live aquatic experimental ecosystem. Mechanistic models embody each hypothesis. Only a model that includes algal evolution is compatible with empirical observations, and thus may provide important insight into how prey evolution affects predator-prey population dynamics.
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