umr-amap/ConApp

ConApp shiny app for mapping plant species and computing preliminary IUCN conservation status assessments following Criterion B. It is dedicated to Central Africa and built as an R package that wraps the ConR package # ConApp > A web application to help implement conservation strategies in Africa **Français** ## Authors **Nicolas Texier** 1,2,3 , **Tariq Stévart** 1,3,5 , **Gilles Dauby** 4 1 Missouri Botanical Garden, Africa & Madagascar Department, 4344 Shaw Blvd., St. Louis, MO 63110, USA 2 Faculty of Sciences, Evolutionary Biology and Ecology, Université Libre de Bruxelles, CP160/12, 50 Av. F. Roosevelt, 1050 Brussels, Belgium 3 Herbarium et Bibliothèque de Botanique africaine, CP 265, Université Libre de Bruxelles, Blvd. du Triomphe, 1050, Brussels, Belgium 4 AMAP, Université Montpellier, IRD, CNRS, CIRAD, INRAE, Montpellier University, France 5 Jardin botanique de Meise, Nieuwelaan 38, 1860, Meise, Belgium **Contact:** Nicolas Texier: ntexier@mobot.org Gilles Dauby: gilles.dauby@ird.fr Tariq Stévart: tstevart@mobot.org ## About Conservation and land-use planning needs to take proper account of conservation risk linked to biodiversity. However, it is often difficult for consultancies, land managers and decision-makers to assess which species are threatened on a site and to access their updated distribution data, particularly for plants. For example, data on distribution of threatened plants in tropical Africa are rarely available in the IUCN Red List, or are not updated, rendering risk screening tools such as the Integrated Biodiversity Assessment Tool (IBAT) obsolete. We present **ConApp**, a web application that can be used to: 1. **Identify potentially threatened plant species** in a given area 2. **Obtain information on the distribution of threatened tree species** in Gabon 3. **Conduct a preliminary multi-species assessment** of extinction risk under criterion B of the IUCN Red List This application allows querying both the GBIF database for plants and a regularly updated version of the verified RainBio database, which includes data from non-public plots and transects in Central Africa, thus providing access to the most recent and/or verified occurrence …