Redlistr: tools for the IUCN Red Lists of ecosystems and threatened species in R
Version 2 2024-06-06, 09:32Version 2 2024-06-06, 09:32
Version 1 2019-02-26, 16:08Version 1 2019-02-26, 16:08
journal contribution
posted on 2024-06-06, 09:32 authored by CKF Lee, DA Keith, Emily NicholsonEmily Nicholson, NJ Murray© 2018 The Authors The International Union for the Conservation of Nature (IUCN) Red List of ecosystems and Red List of threatened species are global standards for assessing risks of ecosystem collapse and species extinction. However, misconceptions of the Red List assessment process, along with its technically demanding nature, can result in the misapplication of their criteria, leading to inconsistent and potentially unreliable assessments. To address this problem, we developed redlistr, an R package aiding in the production of consistent species and ecosystem Red List assessments. Redlistr's features include methods to calculate 1) area from spatial data, 2) range size metrics, 3) rates of change of distributions or populations, and 4) distribution or population at another time from these rates. A key feature of the package is the systematic approach used to eliminate geometric uncertainty when estimating area of occupancy. Here, we develop two case studies to demonstrate the functionalities of redlistr with typical workflows for both species and ecosystems. Redlistr was developed to be accessible to users with a broad range of experience in programming for spatial and temporal data analysis, and sufficiently flexible to allow users to parameterise functions and select equations to fit their purposes. The package specifically aims to assist researchers and conservation practitioners to conduct robust and transparent risk assessments of ecosystems and species under the IUCN Red List criteria but is also useful for other studies requiring analyses of range size, area change and calculations of rates of change.
History
Journal
EcographyVolume
42Pagination
1050-1055Location
Chichester, Eng.Publisher DOI
Open access
- Yes
Link to full text
ISSN
0906-7590eISSN
1600-0587Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2018, The AuthorsIssue
5Publisher
WileyUsage metrics
Categories
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC