KBAscope: key biodiversity area identification in R

Author:

Spiliopoulou Konstantina12ORCID,Rigal François34ORCID,Plumptre Andrew J.5ORCID,Trigas Panayiotis6ORCID,Paragamian Kaloust7ORCID,Hochkirch Axel8910ORCID,Lymberakis Petros11ORCID,Portolou Danae12ORCID,Stoumboudi Maria Th.1ORCID,Triantis Kostas A.2ORCID

Affiliation:

1. Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters Anavissos Greece

2. Department of Ecology and Taxonomy, Faculty of Biology, National and Kapodistrian University of Athens, University Campus Ilisia Athens Greece

3. cE3c—Centre for Ecology, Evolution and Environmental Changes/Azorean Biodiversity Group/CHANGE—Global Change and Sustainability Institute and Universidade dos Açores—Faculty of Agricultural Sciences and Environment, Angra do Heroismo Azores Portugal

4. CNRS—Université de Pau et des Pays de l'Adour ‐ E2S UPPA, Institut Des Sciences Analytiques et de Physico Chimie pour L'environnement et les Matériaux Pau France

5. Key Biodiversity Area Secretariat, c/o BirdLife International Cambridge UK

6. Faculty of Crop Science, Agricultural University of Athens Athens Greece

7. Hellenic Institute of Speleological Research Irakleio Crete Greece

8. Department of Biogeography, Trier University, Universitätsring Trier Germany

9. IUCN SSC Grasshopper Specialist Group, Trier University, Universitätsring Trier Germany

10. Musée national d'histoire naturelle Luxembourg Luxembourg

11. Natural History Museum of Crete, University of Crete Irakleio Greece

12. Hellenic Ornithological Society Athens Greece

Abstract

Key Biodiversity Areas (KBAs) represent the largest global network of sites critical to the persistence of biodiversity, which have been identified against standardised quantitative criteria. Sites that hold very high biodiversity value or potential are given specific attention on site‐based conservation targets of the Kunming‐Montreal Global Biodiversity Framework (GBF), and KBAs are already used in indicators for the GBF and the Sustainable Development Goals. However, most of the species that trigger KBA status are birds and to maximise benefits for biodiversity under the actions taken to fulfil the GBF, countries need to update their KBAs to represent important sites across multiple taxa. Here we introduce KBAscope, an R package to identify potential KBAs using multiple taxonomic groups. KBAscope provides flexible, user‐friendly functions to edit species data (population, range maps, area of occupancy, area of habitat and localities); apply KBA criteria; and generate outputs to support the delineation and validation of KBAs. The details of the analysis – such as the spatial units tested or the KBA criteria applied – can be decided according to the scope of the analysis. We demonstrate the functionality of KBAscope by using it to identify potential KBAs in Greece based on multiple terrestrial taxonomic groups and four sizes of grid cells (4 km2, 25 km2, 100 km2, 225 km2).

Publisher

Wiley

Reference27 articles.

1. Important bird and biodiversity areas: a global network for conserving nature and benefitting people 2014

2. The world database of key biodiversity areas 2023

3. Measuring Terrestrial Area of Habitat (AOH) and Its Utility for the IUCN Red List

4. Kunming‐Montreal Global biodiversity framework 2022

5. Monitoring framework for the Kunming‐Montreal Global biodiversity Framework 2022

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