Abstract Detail

Nº613/1779 - ParseGBIF: data and an interactive database for visualising and prioritising plant occurrence data
Format: ORAL
Authors
Alexandre Monro1, Pablo Hendrigo Alves de Melo2, Nadia Bystriakova3
Affiliations
1. Royal Botanic Gardens, Kew, Richmond, London, UK a.monro@kew.org 2. Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais, Campus Avançado Piumhi, Brazil 3. The Natural History Museum, Cromwell Road, London, UK
Abstract
Global and national initiatives to halt the loss of plant diversity require adequate knowledge of species and their occurrences. Such knowledge can be currently characterised as poor and very uneven1 (Oliver et al. 2020). For example, in GBIF the plant diversity of the Amazon Forest biodiversity hotspot is documented by an average of 10 to 142 occurrence records per 100 km2. In contrast, the Mesoamerican biodiversity hotspot in Costa Rica is documented by 10,5392 records per 100 km2. Despite this, there are few tools to visualize knowledge gaps or to prioritize how they should be filled. We have developed such a tool, Prioritization Resource for Information-driven Species Monitoring (PRISM) for doing so at the regional, national, or subnational level. PRISM aims to support the prioritization of areas for data acquisition based on local priorities. To do so we have, 1) developed a workflow, ParseGBIF3, to assemble a baseline of occurrence records, 2) used the baseline to characterize sample effort and gaps in occurrence data at high resolution, and 3) overlayed these with key biodiversity, conservation and ecosystem services layers to support the prioritization of areas for data acquisition, at the regional, national, or subnational level through an interactive database. 1. Oliver et al. (2021) Global and national trends, gaps, and opportunities in documenting and monitoring species distributions. https://doi.org/10.1371/journal.pbio.3001336 2. Source: GBIF, biological collections occurrence data, accessed January 16 2023 3. Hendrigo Alves de Melo et al. (2023). https://doi.org/10.21203/rs.3.rs-3579370/v1