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https://github.com/red-list-ecosystem/redlistr

redlistr: Tools for the IUCN Red List of Ecosystems and Species
https://github.com/red-list-ecosystem/redlistr

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redlistr: Tools for the IUCN Red List of Ecosystems and Species

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README 

        
---

output: github_document

---



```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```



# redlistr



`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](https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.04143).



> important note: [rredlist](https://github.com/ropensci/rredlist) is a

different package that works with the IUCN Red List of Threatened Species' API.



## Overview

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](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0062111)).

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](https://www.sciencedirect.com/science/article/pii/S0378112702003353)) 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](https://portals.iucn.org/library/sites/library/files/documents/2016-010.pdf)).

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](https://portals.iucn.org/library/sites/library/files/documents/2016-010.pdf)).

In addition, the papers by Keith et al.

([2013](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0062111))

and Rodriguez et al.

([2015](https://doi.org/10.1098/rstb.2014.0003))

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](https://www.iucnrle.org/). There is also plenty of handy material for 

assessing species available on the IUCN Red List of Threatened Species 

[website](https://www.iucnredlist.org).



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.



## Installation

`redlistr` is now on CRAN! You can also install the development version from GitHub.

```{r, eval = FALSE}

# Easiest way to get redlistr:

install.packages("redlistr")



# For the development version from GitHub:

# install.packages("devtools")

devtools::install_github("red-list-ecosystem/redlistr")

```