Grad Student Develops Program to Increase Accuracy of Community Formation Processes
November 27, 2019
Doctoral candidates Megan Ruffley, Katie Peterson and Bob Week recently published a paper in Ecology and Evolution titled "Identifying Models of Trait-Mediated Community Assembly Using Random Forests and Approximate Bayesian Computation." This publication is the second chapter of Ruffley's dissertation and the culmination of her lab rotation in Luke Harmon's lab. Ruffley designed a program called Community Assembly Model Inference, or CAMI. It uses a stochastic algorithm to simulate communities assembled under environmental filtering, competitive exclusion and neutral species assembly processes. The paper and the creation of the accompanying CAMI program involved students and faculty with a wide range of research areas and skill sets. Learn more.
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