Abstract
The timing of fish reproductive behavior can depend upon seasonal, lunar, social, and environmental cues, each with their own distinct ecological risks and sensitivities. Fundulus heteroclitus, commonly known as mummichogs, exhibit spawning behavior wherein both social and lunar effects appear to factor into when they spawn, and each to a differing degree depending on their geographic location. We model mummichog spawning behavior using a coupled oscillator model, including terms to account for both social and lunar influence as well as stochastic effects. Fitting the model parameters to laboratory mummichog spawning data from the Environmental Protection Agency reveals a dependency on both social and lunar coordination. In order to describe the extent of possible coordination we develop a data driven order parameter to address the difficulties inherent in measuring coordination in many-agent models where the dynamics of isolated individual agents are nontrivial.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 360-370 |
| Number of pages | 11 |
| Journal | Communications in Nonlinear Science and Numerical Simulation |
| Volume | 72 |
| DOIs | |
| State | Published - Jun 30 2019 |
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ASJC Scopus subject areas
- Numerical Analysis
- Modeling and Simulation
- Applied Mathematics
Cite this
Modeling social and lunar coordination in the spawning behavior of Fundulus heteroclitus. / Goodloe, Oscar; Nishimura, Joel.
In: Communications in Nonlinear Science and Numerical Simulation, Vol. 72, 30.06.2019, p. 360-370.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Modeling social and lunar coordination in the spawning behavior of Fundulus heteroclitus
AU - Goodloe, Oscar
AU - Nishimura, Joel
PY - 2019/6/30
Y1 - 2019/6/30
N2 - The timing of fish reproductive behavior can depend upon seasonal, lunar, social, and environmental cues, each with their own distinct ecological risks and sensitivities. Fundulus heteroclitus, commonly known as mummichogs, exhibit spawning behavior wherein both social and lunar effects appear to factor into when they spawn, and each to a differing degree depending on their geographic location. We model mummichog spawning behavior using a coupled oscillator model, including terms to account for both social and lunar influence as well as stochastic effects. Fitting the model parameters to laboratory mummichog spawning data from the Environmental Protection Agency reveals a dependency on both social and lunar coordination. In order to describe the extent of possible coordination we develop a data driven order parameter to address the difficulties inherent in measuring coordination in many-agent models where the dynamics of isolated individual agents are nontrivial.
AB - The timing of fish reproductive behavior can depend upon seasonal, lunar, social, and environmental cues, each with their own distinct ecological risks and sensitivities. Fundulus heteroclitus, commonly known as mummichogs, exhibit spawning behavior wherein both social and lunar effects appear to factor into when they spawn, and each to a differing degree depending on their geographic location. We model mummichog spawning behavior using a coupled oscillator model, including terms to account for both social and lunar influence as well as stochastic effects. Fitting the model parameters to laboratory mummichog spawning data from the Environmental Protection Agency reveals a dependency on both social and lunar coordination. In order to describe the extent of possible coordination we develop a data driven order parameter to address the difficulties inherent in measuring coordination in many-agent models where the dynamics of isolated individual agents are nontrivial.
UR - http://www.scopus.com/inward/record.url?scp=85060015310&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060015310&partnerID=8YFLogxK
U2 - 10.1016/j.cnsns.2019.01.006
DO - 10.1016/j.cnsns.2019.01.006
M3 - Article
VL - 72
SP - 360
EP - 370
JO - Communications in Nonlinear Science and Numerical Simulation
JF - Communications in Nonlinear Science and Numerical Simulation
SN - 1007-5704
ER -