BON in a Box: An Open and Collaborative Platform for Biodiversity Monitoring, Indicator Calculation, and Reporting

Abstract The Convention on Biological Diversity’s Kunming–Montreal Global Biodiversity Framework (GBF) sets ambitious goals to protect and restore biodiversity. It includes a monitoring framework that mandates countries to track progress toward these goals using indicators that summarize biodiversity trends. Calculating indicators is challenging for countries because of fragmented biodiversity monitoring efforts, technical barriers, a lack of available data and tools, and capacity bottlenecks. The BON in a Box platform for biodiversity monitoring and indicator calculation, developed by the Group on Earth Observations Biodiversity Observation Network, was created to address these challenges by providing open, transparent, and reproducible analysis pipelines that convert data into essential biodiversity variables and indicators. These pipelines are built by experts and contributed by the community, follow FAIR principles, and help scientists apply their research to coordinate biodiversity monitoring efforts, build capacity to track progress toward the GBF, and affect policy change.

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Publication Details

Journal
BioScience
Published
2025-11-19
DOI
https://doi.org/10.1093/biosci/biaf189
Citations
3
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
9.74
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article

BON in a Box: An Open and Collaborative Platform for Biodiversity Monitoring, Indicator Calculation, and Reporting

François Rousseu, Kari Norman, Pedro R. Peres‐Neto, Andrew González et al.
3 citations
BioScience
Research Data Management Practices
9.74
article

BON in a Box: An Open and Collaborative Platform for Biodiversity Monitoring, Indicator Calculation, and Reporting

François Rousseu, Kari Norman, Pedro R. Peres‐Neto, Andrew González, María Isabel Arce-Plata, Deborah M. Leigh, Kaitlyn M. Pereira, Thilina D. Surasinghe, Eren Turak, María Helena Olaya-Rodríguez, Víctor J. Rincón-Parra, Sarah Valentin, Meredith C. Schuman, Isabelle S. Helfenstein, Michael Catchen, Jessica M. da Silva, Jamie M. Kass, Oliver Selmoni, Alicia Mastretta‐Yanes, Juan Zuloaga, Brian Leung, Guillaume Larocque, Noah Wightman, César Gutiérrez, Katie L. Millette, Gravel Dominique, Luis Urbina, Erika Suárez-Valencia, Simon Pahls, Sean Hoban, Maria Alejandra Molina Berbeo, M Camila Diaz-Corzo, Maria Cecilia Londoño, Timothée Poisot, F Guillaume Blanchet, Claudia Roeoesli, Lina María Sánchez-Clavijo, Dat Nguyen, Jean-Michel Lord, Laura J Pollock, Linda Laikre, Jory Griffith, Mathusan Chandramohan
article en
3 citations

Abstract

Abstract The Convention on Biological Diversity’s Kunming–Montreal Global Biodiversity Framework (GBF) sets ambitious goals to protect and restore biodiversity. It includes a monitoring framework that mandates countries to track progress toward these goals using indicators that summarize biodiversity trends. Calculating indicators is challenging for countries because of fragmented biodiversity monitoring efforts, technical barriers, a lack of available data and tools, and capacity bottlenecks. The BON in a Box platform for biodiversity monitoring and indicator calculation, developed by the Group on Earth Observations Biodiversity Observation Network, was created to address these challenges by providing open, transparent, and reproducible analysis pipelines that convert data into essential biodiversity variables and indicators. These pipelines are built by experts and contributed by the community, follow FAIR principles, and help scientists apply their research to coordinate biodiversity monitoring efforts, build capacity to track progress toward the GBF, and affect policy change.

BioScience
Goethe University Frankfurt (DE), NSW Department of Planning and Environment (AU), Université de Sherbrooke (CA), Stockholm University (SE), Bridgewater State University (US), Tohoku University (JP), University of Zurich (CH), University of Johannesburg (ZA), Royal Botanic Gardens, Kew (GB), Alexander von Humboldt Biological Resources Research Institute (CO), Morton Arboretum (US), McGill University Health Centre (CA), Senckenberg Research Institute and Natural History Museum Frankfurt/M (DE), Quantitative BioSciences (US), Territoires (FR), LOEWE Centre for Translational Biodiversity Genomics (DE), National Biodiversity Institute (CR), Rocky Mountain Research Station (US), Concordia University (US), Rocky Mountain Research (United States) (US), McGill University (CA), Concordia University (CA), Université de Montréal (CA)
Life in Land
Openalex Percentile: Top 2%
Research Data Management Practices
9.74
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