Computational Model Library

This model is an implementation of a predator-prey simulation using NetLogo programming language. It simulates the interaction between fish, lionfish, and zooplankton. Fish and lionfish are both represented as turtles, and they have their own energy level. In this simulation, lionfish eat fish, and fish eat zooplankton. Zooplankton are represented as green patches on the NetLogo world. Lionfish and fish can reproduce and gain energy by eating other turtles or zooplankton.

This model was created to help undergraduate students understand how simulation models might be helpful in addressing complex environmental problems. In this case, students were asked to use this model to make predictions about how the introduction of lionfish (considered an invasive species in some places) might alter the ecosystem.

The model reflects the predator-prey mustelid-vole population dynamics, typically observed in boreal systems. The goal of the model is to assess which intrinsic and extrinsic factors (or factor combinations) are needed for the generation of the cyclic pattern typically observed in natural vole populations. This goal is achieved by contrasting the alternative model versions by “switching off” some of the submodels in order to reflect the four combinations of the factors hypothesized to be driving vole cycles.

Individually parameterized mussels (Mytilus californianus) recruit, grow, move and die in a 3D environment while facing predation (in the form of seastar agents), heat and desiccation with increased tide height, and storms. Parameterized with data collected by Wootton, Paine, Kandur, Donahue, Robles and others. See my 2019 CoMSES video presentation to learn more.

Peer reviewed Ache hunting

Marco Janssen Kim Hill | Published Tue Aug 13 21:27:28 2013 | Last modified Fri Dec 21 00:51:33 2018

Agent-based model of hunting behavior of Ache hunter-gatherers from Paraguay. We evaluate the effect of group size and cooperative hunting

A multithreaded PPHPC replication in Java

Nuno Fachada | Published Sat Oct 31 15:29:02 2015 | Last modified Tue Jan 19 16:13:02 2016

A multithreaded replication of the PPHPC model in Java for testing different ABM parallelization strategies.

Varying effects of connectivity and dispersal on interacting species dynamics

Kehinde Salau | Published Mon Aug 29 08:01:17 2011 | Last modified Sat Apr 27 20:18:53 2013

An agent-based model of species interaction on fragmented landscape is developed to address the question, how do population levels of predators and prey react with respect to changes in the patch connectivity as well as changes in the sharpness of threshold dispersal?

Hybrid fish-plankton model

Gudrun Wallentin Christian Neuwirth | Published Fri Oct 28 17:54:17 2016 | Last modified Sun Jan 29 07:32:14 2017

A hybrid predator-prey model of fish and plankton that switches dynamically between ABM and SD representations. It contains 6 related structural designs of the same model.

Peer reviewed PPHPC - Predator-Prey for High-Performance Computing

Nuno Fachada | Published Sat Aug 8 16:27:27 2015 | Last modified Wed Nov 25 17:23:09 2015

PPHPC is a conceptual model for studying and evaluating implementation strategies for spatial agent-based models (SABMs). It is a realization of a predator-prey dynamic system, and captures important SABMs characteristics.

Landscape connectivity and predator–prey population dynamics

Jacopo Baggio | Published Thu Nov 10 19:35:38 2011 | Last modified Sat Apr 27 20:18:37 2013

A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)

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