gradscale tries to scale an ecological gradient to a
constant rate of compositional change. Usually this is not strictly
A data frame of fitted species response models.
The gradient used for responses
gradscale tries to rescale an ecological gradient to
the constant rate of compositional change as measured by
betadiversity. Usually this is not strictly possible,
because the responses fitted after rescaling indicate local
aberrations, although the average change is close to constant.
gradscale makes the distance of ordered gradient
points equal to sum of change in species abundance. In most cases,
this is equal to change in fitted values, but if the species has its
optimum between the gradient values,
gradscale will estimate
the accumulated change through that optimum point.
The function returns the rescaled gradient at the point given by
Oksanen, J. & Tonteri, T. (1995). Rate of compositional turnover along gradients and total gradient length. Journal of Vegetation Science 6, 815-824.
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