Species packing (Gaussian)

This module fits Gaussian response models to species abundances along a gradient, for one or more species. The fitted parameters are optimum (average), tolerance (standard deviation) and maximum.

The module requires one first column of environmental measurements in samples (e.g. temperature), and one or more additional columns of abundance data (taxa in columns).

The algorithm is the same as for the Gaussian function in the nonlinear regression module: Initial estimation of optimum and tolerance based on the weighted average, followed by a nonlinear optimization by the Levenberg-Marquardt method.

Published Aug. 31, 2020 9:52 PM - Last modified Aug. 31, 2020 9:52 PM