摘要：We have more data about wildlife trafcking than ever before, but it remains underutilized for decision- making . Central to efective wildlife trafcking interventions is collection, aggregation, and analysis of data across a range of source, transit, and destination geographies . Many data are geospatial, but these data cannot be efectively accessed or aggregated without appropriate geospatial data standards . Our goal was to create geospatial data standards to help advance eforts to combat wildlife trafcking . We achieved our goal using voluntary, participatory, and engagement-based workshops with diverse and multisectoral stakeholders, online portals, and electronic communication with more than 100 participants on three continents . The standards support data-to-decision eforts in the feld, for example indictments of key fgures within wildlife trafcking, and disruption of their networks . Geospatial data standards help enable broader utilization of wildlife trafcking data across disciplines and sectors, accelerate aggregation and analysis of data across space and time, advance evidence- based decision making, and reduce wildlife trafcking .
