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.

Highlights

  • ConR provides for the first time a dedicated, multispecies conservation assessment package based on International Union for Conservation of Nature (IUCN) criterion B and using only species geographic distribution

  • We stress that ConR does not replace the full IUCN Red Listing process; it can, assist and facilitate this process

  • ConR uses a number of assumptions in order to automate category assignment, especially the estimation of the number of locations sensu IUCN

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Summary

Introduction

We describe ConR, an R package to generate batch preliminary assessments of conservation status following the IUCN guidelines using multiple species datasets based on Criterion B. ConR allows users to estimate the above parameters automatically for any list of taxa and assigns each taxon to a preliminary IUCN threat category according to Criterion B.

Results
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