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

dc.contributor.authorDauby, G.
dc.contributor.authorStévart, T.
dc.contributor.authorDroissart, V.
dc.contributor.authorCosiaux, A.
dc.contributor.authorDeblauwe, V.
dc.contributor.authorSimo-Droissart, M.
dc.contributor.authorSosef, M.S.M.
dc.contributor.authorLowry, P.P.
dc.contributor.authorSchatz, G.E.
dc.contributor.authorGereau, R.E.
dc.contributor.authorCouvreur, T.L.P.
dc.date.accessioned2019-12-04T11:14:22Z
dc.date.available2019-12-04T11:14:22Z
dc.date.issued2017-12
dc.identifier.citationDauby, G., Stévart, T., Droissart, V., Cosiaux, A., Deblauwe, V., Simo‐Droissart, M., ... & Couvreur, T.L. (2017). ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data. Ecology and Evolution, 7(24), 11292-11303.
dc.identifier.issn2045-7758
dc.identifier.urihttps://hdl.handle.net/20.500.12478/2744
dc.descriptionPublished online: 16 Dec 2017
dc.description.abstractThe 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.
dc.description.sponsorshipAgropolis Fondation
dc.description.sponsorshipAgence Nationale de la Recherche, France
dc.format.extent11292-11303
dc.language.isoen
dc.subjectConservation
dc.subjectBiodiversity Conservation
dc.subjectAssessment
dc.subjectRed List
dc.subjectOccupancy
dc.subjectCriterion B
dc.subjectDistribution Range
dc.subjectOccurrence
dc.subjectPreliminary Status
dc.subjectThreatened Taxa
dc.titleConR: An R package to assist large-scale multispecies preliminary conservation assessments using distribution data
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationUniversité de Montpellier
cg.contributor.affiliationUniversité Libre de Bruxelles
cg.contributor.affiliationFrench Foundation for Research on Biodiversity
cg.contributor.affiliationMissouri Botanical Garden
cg.contributor.affiliationBotanic Garden Meise, Belgium
cg.contributor.affiliationInstitut de Recherche pour le Développement
cg.contributor.affiliationUniversité de Yaoundé
cg.contributor.affiliationUniversity of California
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationSorbonne Universite
cg.creator.identifierVincent Deblauwe: 0000-0001-9881-1052
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectBiodiversity
cg.journalEcology and Evolution
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid93747
cg.targetaudienceScientists
cg.identifier.doihttp://dx.doi.org/10.1002/ece3.3704


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