Authors: Franziska Schrodt, Joseph J. Bailey, W. Daniel Kissling, Kenneth F. Rijsdijk, Arie C. Seijmonsbergen, Derk van Ree, Jan Hjort, Russell S. Lawley, Christopher N. Williams, Mark G. Anderson, Paul Beier, Pieter van Beukering, Doreen S. Boyd, José Brilha, Luis Carcavilla, Kyla M. Dahlin, Joel C. Gill, John E. Gordon, Murray Gray, Mike Grundy, Malcolm L. Hunter, Joshua J. Lawler, Manu Monge-Ganuzas, Katherine R. Royse, Iain Stewart, Sydne Record, Woody Turner, Phoebe L. Zarnetske, and Richard Field
Source: Proceedings of the National Academy of Sciences Aug 2019, 116 (33) 16155-16158; DOI:10.1073/pnas.1911799116
Publication Type: Article in a Periodical
Abstract: Rapid environmental change is driving the need for complex and comprehensive scientific information that supports policies aimed at managing natural resources through international treaties, platforms, and networks. One successful approach for delivering such information has been the development of essential variables for climate (1), oceans (2), biodiversity (3), and sustainable development goals (4) (ECVs, EOVs, EBVs, and ESDGVs, respectively). These efforts have improved consensus on terminology and identified essential sets of measurements for characterizing and monitoring changes on our planet. In doing so, they have advanced science and informed policy. As an important but largely unanticipated consequence, conceptualizing these variables has also given rise to discussions regarding data discovery, data access, and governance of research infrastructures. Such discussions are vital to ensure effective storage, distribution, and use of data among management agencies, researchers, and policymakers.