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Using dynamical systems to make micro- and macroscopic predictions in marine biology

Landsittel, Joseph (2022) Using dynamical systems to make micro- and macroscopic predictions in marine biology. Undergraduate Thesis, University of Pittsburgh. (Unpublished)

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Abstract

Dynamical systems have successfully been shown to illustrate how components of a biological machine evolve together; this paper explores two examples of such. In one case, we investigate the stereotyped escape reflex of the marine goby. This governing neural circuit of this goby’s escape has been observed to exhibit distinct behaviors depending on the threat level of predatory fish. We propose two ODE models to explore the feasibility of distinct biological possibilities regarding the circuit at play. In a second case, we investigate the mating strategies of wrasses and cephalopods. We simulate the life histories of the fishes with a piece-wise, discrete time dynamical system. Our results provide a framework for understanding the dependence between the evolutionary stability of various mating strategies with ecological factors and behavioral patterns being exhibited.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Landsittel, Josephlandsittel@pitt.edujal2890000-0001-6586-4924
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairErmentrout, G. Bardphase@pitt.edu0000-0002-5854-0654
Committee MemberStiefel, Klaus M.klaus@neurolinx.org0000-0002-6887-7736
Committee MemberRubin, Jonathon E.jonrubin@pitt.edu
Committee MemberMugler, Andrewandrew.mugler@pitt.edu0000-0001-9367-7026
Date: 25 April 2022
Date Type: Publication
Defense Date: 18 April 2022
Approval Date: 25 April 2022
Submission Date: 21 April 2022
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 53
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Applied Mathematics
University Honors College
Degree: BPhil - Bachelor of Philosophy
Thesis Type: Undergraduate Thesis
Refereed: Yes
Uncontrolled Keywords: Startle response, Neural simulation, Mauthner neuron, Alternative mating strategies, Cephalopoda
Date Deposited: 25 Apr 2022 17:26
Last Modified: 06 May 2022 17:24
URI: http://d-scholarship.pitt.edu/id/eprint/42670

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