ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data |
| |
Authors: | Gilles Dauby Vincent Droissart Ariane Cosiaux Vincent Deblauwe Murielle Simo‐Droissart Marc S. M. Sosef Porter P. Lowry II George E. Schatz Roy E. Gereau Thomas L. P. Couvreur |
| |
Affiliation: | 1. Institut de Recherche pour le Développement (IRD), Université Montpellier, UMR DIADE, Montpellier, France;2. Evolutionary Biology and Ecology Unit, Faculté des Sciences, Université Libre de Bruxelles, Bruxelles, Belgium;3. French Foundation for Research on Biodiversity (FRB) through its Center for Synthesis and Analysis of Biodiversity data (CESAB) program, Domaine du Petit Arbois, Aix‐en‐Provence, FranceThese authors contributed equally.;4. Herbarium et Bibliothèque de Botanique Africaine, Faculté des Sciences, Université Libre de Bruxelles, Bruxelles, Belgium;5. Institut de Recherche pour le Développement (IRD), UMR AMAP, Montpellier, France;6. Plant Systematics and Ecology Laboratory, Higher Teachers Training College, University of Yaoundé I, Yaoundé, Cameroon;7. Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USA;8. International Institute of Tropical Agriculture, Yaoundé, Cameroon;9. Botanic Garden Meise, Meise, Belgium;10. Africa and Madagascar Department, Missouri Botanical Garden, St. Louis, MO, USA;11. Institut de Systématique, évolution et Biodiversité (ISYEB), Unité Mixte de Recherche 7205 (Centre National de la Recherche Scientifique/Muséum National d'Histoire Naturelle/école Pratique des Hautes études/Université Pierre et Marie Curie), Muséum national d'Histoire naturelle, Sorbonne Universités, Paris, France |
| |
Abstract: | 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. |
| |
Keywords: | area of occupancy criterion B distribution range extent of occurrence
IUCN
location preliminary status threatened taxa |
|
|