Select: Determines Species Probabilities Based on Functional Traits

For determining species probabilities that satisfy a given functional trait profile. Restoring resilient ecosystems requires a flexible framework for selecting assemblages that are based on the functional traits of species. However, current trait-based models have been biased toward algorithms that can only select species by optimising specific trait values, and could not elegantly accommodate the common desire among restoration ecologists to produce functionally diverse assemblages. We have solved this problem by applying a non-linear optimisation algorithm that optimises Rao’s Q, a closed-form functional diversity index that incorporates species abundances, subject to other linear constraints. This framework generalises previous models that could only optimise the entropy of the community, and can optimise both functional diversity and entropy simultaneously.

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