Utilizing agent-based modeling to understand amphibian complex life cycle ecology and evolution
Document Type
Conference Proceeding
Publication Date
4-2025
Abstract
Many amphibian species undergo complex life cycles in which larvae must balance consuming resources and metamorphosing quickly enough to escape their shrinking pond. Modeling this has been difficult due to the interplay of environmental, physiological, and genetic factors influencing metamorphosis. We have developed a spatially-explicit agent-based model simulating Ambystoma maculatum across four developmental stages—egg, larva, juvenile, and adult. Agents are characterized by properties emulating real-life amphibian attributes, including genes that either additively influence metamorphic risk or remain functionally neutral. The environment in the model consists of a grid of patches defined by parameters for agent mortality risk, habitat permeability, and food availability, and it includes the ability to import GIS data. We have utilized the model to study gene flow and natural selection under several spatial scenarios, featuring ponds with unique hydroperiods. The model has the potential to serve as a powerful tool for conservation, research, and education.
Recommended Citation
Lopez, Jesus, "Utilizing agent-based modeling to understand amphibian complex life cycle ecology and evolution" (2025). Student Research Symposium 2025. 10.
https://digitalcommons.tamusa.edu/srs_2025/10
Comments
1:00-2:00 p.m.
BLH 362
Studies in Computational & Systems Biology
Zechun Cao, Moderator