We face a quickly changing world, where critical conservation decisions must be made based on limited ecological data. To make informed decisions, it is vital to understand the dynamics of ecological communities, and the underlying network of interactions that shapes those dynamics. As computing power continues to increase, we may benefit from a variety of sophisticated computational techniques, drawn from across the sciences, and use them to improve our ecological understanding. In the following studies, I use computational approaches to characterize the structure and dynamics of ecological communities, with a focus on the Tatoosh Island middle intertidal. The Tatoosh Island intertidal is one of the longest-studied systems in ecology; first studied by Robert Paine in the early 1960s, the system has been used to study the influence of predators, disturbance, and indirect effects in ecological communities. This is an excellent system for the study of network structure and dynamics, both because of the diverse community of organisms, and because of the rich data available, including a network with trophic and nontrophic interactions and a long-term dataset of community composition under control and experimental conditions. I use data from this and other communities, in conjunction with machine learning and other computational methods, to make inferences about the structure and dynamics of ecological communities.
|Advisor:||Allesina, Stefano, Wootton, Johnathan T.|
|Commitee:||Dwyer, Greg, Pfister, Cathy, Wang, Mei|
|School:||The University of Chicago|
|Department:||Ecology and Evolution|
|School Location:||United States -- Illinois|
|Source:||DAI-B 78/12(E), Dissertation Abstracts International|
|Subjects:||Ecology, Biological oceanography|
|Keywords:||Ecological networks, Food webs, Interaction webs, Intertidal, Network inference, Stochastic blockmodel|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be