Jory Griffith, Jean-Michel Lord, Michael D. Catchen, Maria Isabel Arce-Plata, Guillaume Blanchet, Manuel Fernandez Galvez Bohorquez, Matusan Chandramohan, María Camilla Diaz-Corzo, Dominique Gravel, Luis Fernando Urbina Gonzalez, César Gutiérrez, Isabelle S. Helfenstein, Sean M. Hoban, Jamie M. Kass, Guillaume Larocque, Linda Laikre, Deborah M. Leigh, Brian Leung, Alicia Mastretta-Yanes, Katie Millette, Diego Moreno, María Alejandra Molina-Berbeo, Kari Norman, Víctor J Rincón-Parra, Simon Pahls, Pedro R. Peres-Neto, Kaitlyn Perreira, Timothée Poisot , Laura J. Pollock, Juan Carlos Rey-Velasco, María Helena Olaya Rodríguez, Claudia Röösli, François Rousseu, Lina María Sánchez-Clavijo, Meredith Christine Schuman , Oliver Selmoni, Jessica da Silva, Thilina Surasinghe, Eren Turak, Erika Suarez Valencia, Sarah Valentin, Noah Wightman, Juan Zuloaga, María Cecilia Londoño Murcia, Andrew Gonzalez

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 due to technical barriers, lack of available data and tools, and capacity bottlenecks. BON in a Box, an open tool for biodiversity modeling and indicator calculation developed by the Group on
Earth Observations Biodiversity Observation Network, is designed to address these challenges. It connects individual analyses into pipelines that convert data into essential biodiversity variables and indicators and can be run locally or on the cloud. These pipelines are community-built, customizable, and can analyze public or user datasets. BON in a Box provides a comprehensive and accessible tool for scientists and policymakers around the world to track progress toward the GBF and make biodiversity management decisions.