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