The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Select: Determines Species Probabilities Based on Functional Traits

The objective of these functions is to derive a species assemblage that satisfies a 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 limited to 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 Q, a closed-form functional trait diversity index that incorporates species abundances, subject to other linear constraints. This framework generalises previous models that only optimised the entropy of the community, and can optimise both functional diversity and entropy simultaneously. This package can also be used to generate experimental assemblages to test the effects of community-level traits on community dynamics and ecosystem function. The method is based on theory discussed in Laughlin (2014, Ecology Letters) <doi.org/10.1111/ele.12288>.

Version: 1.4
Depends: R (≥ 3.3.0)
Imports: Rsolnp, latticeExtra, grDevices, stats, lattice, graphics, ade4, FD
Suggests: knitr, rmarkdown, testthat
Published: 2018-05-11
DOI: 10.32614/CRAN.package.Select
Author: Daniel Laughlin [cre, aut], Loic Chalmandrier [aut]
Maintainer: Daniel Laughlin <danielclaughlin at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Select results

Documentation:

Reference manual: Select.pdf
Vignettes: Vignette for using the selectSpecies( ) function

Downloads:

Package source: Select_1.4.tar.gz
Windows binaries: r-devel: Select_1.4.zip, r-release: Select_1.4.zip, r-oldrel: Select_1.4.zip
macOS binaries: r-release (arm64): Select_1.4.tgz, r-oldrel (arm64): Select_1.4.tgz, r-release (x86_64): Select_1.4.tgz, r-oldrel (x86_64): Select_1.4.tgz
Old sources: Select archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Select to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.