About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 7 of 27 results population dynamics clear search
SimAdapt
François Rebaudo | Published Wednesday, August 29, 2012 | Last modified Monday, October 13, 2014SimAdapt: An individual-based genetic model for simulating landscape management impacts on populations
Peer reviewed Horse population dynamics
Nika Galic | Published Tuesday, November 12, 2013 | Last modified Wednesday, October 29, 2014This model investigates the link between prescribed growth in body size, population dynamics and density dependence through population feedback on available resources.
Population Dynamics of Emerald Ash Borer
mpeters | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013This model was developed as part of a class project, and explores the population dynamics and spread of an invasive insect, Emerald Ash Borer, in a county.
A stylized scale model to codesign with villagers an agent-based model of bushmeat hunting in the periphery of Korup National Park (Cameroon)
Human mate choice is a complex system
Paul Smaldino Jeffrey C Schank | Published Friday, February 08, 2013 | Last modified Saturday, April 27, 2013A general model of human mate choice in which agents are localized in space, interact with close neighbors, and tend to range either near or far. At the individual level, our model uses two oft-used but incompletely understood decision rules: one based on preferences for similar partners, the other for maximally attractive partners.
Landscape connectivity and predator–prey population dynamics
Jacopo Baggio | Published Thursday, November 10, 2011 | Last modified Saturday, April 27, 2013A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)
Peer reviewed Artificial Anasazi
Marco Janssen | Published Tuesday, September 07, 2010 | Last modified Saturday, April 27, 2013Replication of the well known Artificial Anasazi model that simulates the population dynamics between 800 and 1350 in the Long House Valley in Arizona.
Displaying 7 of 27 results population dynamics clear search