High dimensional dynamics in ecology and evolution

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Abstract/Contents

Abstract
With advances in genomics, the study of evolution is more quantitative than ever. We can now attempt to answer questions like: how fast is evolution in different scenarios? How predictable is it? Why are there so many different types of organisms? In this thesis, we explore three questions in quantitative biology using theoretical approaches. In chapter one, we explore the effect that epistasis - interactions between mutations - has on long-term evolutionary dynamics. In chapter two, we explore models of diversity in ecosystems and show that spatial structure can stabilize such diversity for long periods of time. In chapter three, we develop a model of co-evolution in the context of host-pathogen interactions, and discuss conditions for the generation of diversity.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Agarwala, Atish
Degree supervisor Fisher, Daniel S
Thesis advisor Fisher, Daniel S
Thesis advisor Ganguli, Surya, 1977-
Thesis advisor Kachru, Shamit, 1970-
Degree committee member Ganguli, Surya, 1977-
Degree committee member Kachru, Shamit, 1970-
Associated with Stanford University, Department of Physics.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Atish Agarwala.
Note Submitted to the Department of Physics.
Thesis Thesis Ph.D. Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by Atish Agarwala
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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