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.
redlistr is an R package that contains a set of tools
suitable for calculating the metrics required for making assessments of
species and ecosystems against the IUCN Red List of Threatened Species
and the IUCN Red List of Ecosystems categories and criteria.The paper
describing redlistr has been published on Ecography and is
available here.
important note: rredlist is a different package that works with the IUCN Red List of Threatened Species’ API.
The redlistr package was developed to assist users
conduct assessments for the IUCN Red List of Ecosystems in
R. It is also useful for users interested in conducting
assessments for the Red List of Threatened Species. Assessments of
ecosystems under the IUCN Red List of Ecosystems criteria require
calculation of standardised metrics that were developed to objectively
assess risk to ecosystem (Keith
et al. 2013). This package was designed to assist in the calculation
of these metrics, including two methods of calculating the rate of
distirbutional decline: Absolute Rate of Decline (ARD) and Proportional
Rate of Decline (PRC). An additional metric: the Annual Rate of Change
(ARC), which uses a compound interest law to determine the instantaenous
rate of change (Puyravaud
2003) is also included.
Also included are the two standard measures of the size of an ecosystems’ geographic distribution specified in the red list of ecosystems guidelines (Bland et al. 2016). These are the Extent of Occurrence (EOO) and Area of Occupancy (AOO). As many of these measures are also useful for assessing species under the IUCN Red List of Threatened Species criteria, we expect this package will also be useful for assessors conducting species assessments.
In conducting an assessment with this package, we assume that you are familiar with IUCN red listing protocols. In particular, you should consult the IUCN guidelines for both of the red lists, which are the definitive sources of all information required to ensure consistent application of IUCN criteria (Bland et al. 2016). In addition, the papers by Keith et al. (2013) and Rodriguez et al. (2015) are particularly useful for navigating the IUCN Red List of Ecosystems criteria. A range of important resources, including software tools and guiding material is available on the IUCN Red List of Ecosystems website. There is also plenty of handy material for assessing species available on the IUCN Red List of Threatened Species website.
We also assume that you are reasonably familiar with the
R programming language, and have some experience in
conducting analyses of vector and raster data within the R
environment. Of particular use will be familiarity with the
raster, sp and rgeos packages.
This is certainly not a prerequisite, but this package is built upon
many of the functions available in these three packages.
For a more detailed tutorial explaining how to use this package, please refer to the ‘Calculating spatial metrics for IUCN red list assessments’ vignette available with the package.
Lastly, this is a work in progress and we aim to continually add new functions to newer versions of package. Suggestions are welcomed, as are offers for collaborative development.
redlistr is now on CRAN! You can also install the
development version from GitHub.
# Easiest way to get redlistr:
install.packages("redlistr")
# For the development version from GitHub:
# install.packages("devtools")
devtools::install_github("red-list-ecosystem/redlistr")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.