Journal article Open Access
track2KBA: An R package for identifying important sites for biodiversity from tracking data
Beal, Martin;
Steffen Oppel;
Jonathan Handley;
Elizabeth J. Pearmain;
Virginia Morera-Pujol;
Ana P. B. Carneiro;
Tammy E. Davies;
Richard A. Phillips;
Philip R. Taylor;
Mark G.R. Miller;
Aldina M.A. Franco;
Inês Catry;
Ana R. Patrício;
Aissa Regalla;
Iain Staniland;
Charlotte Boyd;
Paulo Catry;
Maria P. Dias
- Identifying important sites for biodiversity is vital for conservation and management. However, there is a lack of accessible, easily applied tools that enable practitioners to delineate important sites for highly mobile species using established criteria.
- We introduce the R package ‘track2KBA’, a tool to identify important sites at the population level using tracking data from individual animals based on three key steps: (a) identifying individual core areas, (b) assessing population-level representativeness of the sample and (c) quantifying spatial overlap among individuals and scaling up to the population.
- We describe package functionality and exemplify its application using tracking data from three taxa in contrasting environments: a seal, a marine turtle and a migratory land bird.
- This tool facilitates the delineation of sites of ecological relevance for diverse taxa and provides output useful for assessing their importance to a population or species, as in the Key Biodiversity Area (KBA) Standard. As such, ‘track2KBA’ can contribute directly to conservation planning at global and regional levels.
This communication reflects only the authors' view and the Research Executive Agency of the European Union is not responsible for any use that may be made of the information it contains.
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Indexed in
- Publication date:
- September 6, 2021
- DOI:
-
- Keyword(s):
- animal movement
- Grants:
-
European Commission:
- Inspire4Nature - INternational training at the Science-Policy Interface for Researchers in Europe, for Nature (766417)
- Related identifiers:
- Supplementary material
- 10.5281/zenodo.5356335 (Dataset)
- License (for files):
- Creative Commons Attribution 4.0 International