Computational Model Library

The Megafauna Hunting Pressure Model (1.1.0)

The Megafaunal Hunting Pressure Model (MHPM) is an interactive, agent-based model designed to conduct experiments to test megaherbivore extinction hypotheses. The MHPM is a model of large-bodied ungulate population dynamics with human predation in a simplified, but dynamic grassland environment. The overall purpose of the model is to understand how environmental dynamics and human predation preferences interact with ungulate life history characteristics to affect ungulate population dynamics over time. The model considers patterns in environmental change, human hunting behavior, prey profitability, herd demography, herd movement, and animal life history as relevant to this main purpose. The model is constructed in the NetLogo modeling platform (Version 6.3.0; Wilensky, 1999).

Screenshot from 2024-02-16 13-52-33.png

Release Notes

Version 1.0 - initial release

Associated Publications

Kopels, M.C., and Ullah, I.I.T. (2024), Modeling post-Pleistocene megafauna extinctions as complex social-ecological systems. Quaternary Research. (paper is accepted, DOI pending)

The Megafauna Hunting Pressure Model 1.1.0

The Megafaunal Hunting Pressure Model (MHPM) is an interactive, agent-based model designed to conduct experiments to test megaherbivore extinction hypotheses. The MHPM is a model of large-bodied ungulate population dynamics with human predation in a simplified, but dynamic grassland environment. The overall purpose of the model is to understand how environmental dynamics and human predation preferences interact with ungulate life history characteristics to affect ungulate population dynamics over time. The model considers patterns in environmental change, human hunting behavior, prey profitability, herd demography, herd movement, and animal life history as relevant to this main purpose. The model is constructed in the NetLogo modeling platform (Version 6.3.0; Wilensky, 1999).

Release Notes

Version 1.0 - initial release

Version Submitter First published Last modified Status
1.1.0 Isaac Ullah Fri Oct 11 16:48:03 2024 Fri Oct 11 16:48:04 2024 Published Peer Reviewed
1.0.0 Isaac Ullah Fri Feb 16 21:53:03 2024 Thu Oct 10 19:22:40 2024 Published

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