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ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data

The Red List Categories and the accompanying five criteria developed by the International Union for Conservation of Nature (IUCN) provide an authoritative and comprehensive methodology to assess the conservation status of organisms. Red List criterion B, which principally uses distribution data, is...

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Autores principales: Dauby, Gilles, Stévart, Tariq, Droissart, Vincent, Cosiaux, Ariane, Deblauwe, Vincent, Simo‐Droissart, Murielle, Sosef, Marc S. M., Lowry, Porter P., Schatz, George E., Gereau, Roy E., Couvreur, Thomas L. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5743656/
https://www.ncbi.nlm.nih.gov/pubmed/29299301
http://dx.doi.org/10.1002/ece3.3704
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author Dauby, Gilles
Stévart, Tariq
Droissart, Vincent
Cosiaux, Ariane
Deblauwe, Vincent
Simo‐Droissart, Murielle
Sosef, Marc S. M.
Lowry, Porter P.
Schatz, George E.
Gereau, Roy E.
Couvreur, Thomas L. P.
author_facet Dauby, Gilles
Stévart, Tariq
Droissart, Vincent
Cosiaux, Ariane
Deblauwe, Vincent
Simo‐Droissart, Murielle
Sosef, Marc S. M.
Lowry, Porter P.
Schatz, George E.
Gereau, Roy E.
Couvreur, Thomas L. P.
author_sort Dauby, Gilles
collection PubMed
description The Red List Categories and the accompanying five criteria developed by the International Union for Conservation of Nature (IUCN) provide an authoritative and comprehensive methodology to assess the conservation status of organisms. Red List criterion B, which principally uses distribution data, is the most widely used to assess conservation status, particularly of plant species. No software package has previously been available to perform large‐scale multispecies calculations of the three main criterion B parameters [extent of occurrence (EOO), area of occupancy (AOO) and an estimate of the number of locations] and provide preliminary conservation assessments using an automated batch process. We developed ConR, a dedicated R package, as a rapid and efficient tool to conduct large numbers of preliminary assessments, thereby facilitating complete Red List assessment. ConR (1) calculates key geographic range parameters (AOO and EOO) and estimates the number of locations sensu IUCN needed for an assessment under criterion B; (2) uses this information in a batch process to generate preliminary assessments of multiple species; (3) summarize the parameters and preliminary assessments in a spreadsheet; and (4) provides a visualization of the results by generating maps suitable for the submission of full assessments to the IUCN Red List. ConR can be used for any living organism for which reliable georeferenced distribution data are available. As distributional data for taxa become increasingly available via large open access datasets, ConR provides a novel, timely tool to guide and accelerate the work of the conservation and taxonomic communities by enabling practitioners to conduct preliminary assessments simultaneously for hundreds or even thousands of species in an efficient and time‐saving way.
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spelling pubmed-57436562018-01-03 ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data Dauby, Gilles Stévart, Tariq Droissart, Vincent Cosiaux, Ariane Deblauwe, Vincent Simo‐Droissart, Murielle Sosef, Marc S. M. Lowry, Porter P. Schatz, George E. Gereau, Roy E. Couvreur, Thomas L. P. Ecol Evol Original Research The Red List Categories and the accompanying five criteria developed by the International Union for Conservation of Nature (IUCN) provide an authoritative and comprehensive methodology to assess the conservation status of organisms. Red List criterion B, which principally uses distribution data, is the most widely used to assess conservation status, particularly of plant species. No software package has previously been available to perform large‐scale multispecies calculations of the three main criterion B parameters [extent of occurrence (EOO), area of occupancy (AOO) and an estimate of the number of locations] and provide preliminary conservation assessments using an automated batch process. We developed ConR, a dedicated R package, as a rapid and efficient tool to conduct large numbers of preliminary assessments, thereby facilitating complete Red List assessment. ConR (1) calculates key geographic range parameters (AOO and EOO) and estimates the number of locations sensu IUCN needed for an assessment under criterion B; (2) uses this information in a batch process to generate preliminary assessments of multiple species; (3) summarize the parameters and preliminary assessments in a spreadsheet; and (4) provides a visualization of the results by generating maps suitable for the submission of full assessments to the IUCN Red List. ConR can be used for any living organism for which reliable georeferenced distribution data are available. As distributional data for taxa become increasingly available via large open access datasets, ConR provides a novel, timely tool to guide and accelerate the work of the conservation and taxonomic communities by enabling practitioners to conduct preliminary assessments simultaneously for hundreds or even thousands of species in an efficient and time‐saving way. John Wiley and Sons Inc. 2017-12-16 /pmc/articles/PMC5743656/ /pubmed/29299301 http://dx.doi.org/10.1002/ece3.3704 Text en © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Dauby, Gilles
Stévart, Tariq
Droissart, Vincent
Cosiaux, Ariane
Deblauwe, Vincent
Simo‐Droissart, Murielle
Sosef, Marc S. M.
Lowry, Porter P.
Schatz, George E.
Gereau, Roy E.
Couvreur, Thomas L. P.
ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data
title ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data
title_full ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data
title_fullStr ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data
title_full_unstemmed ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data
title_short ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data
title_sort conr: an r package to assist large‐scale multispecies preliminary conservation assessments using distribution data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5743656/
https://www.ncbi.nlm.nih.gov/pubmed/29299301
http://dx.doi.org/10.1002/ece3.3704
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