@Article{Fer_GCB_20210101,
 author		= {Istem Fer and Anthony K. Gardella and Alexey N. Shiklomanov and Eleanor E. Campbell and Elizabeth M. Cowdery and Martin G. {De Kauwe} and Ankur Desai and Matthew J. Duveneck and Joshua B. Fisher and Katherine D. Haynes and Forrest M. Hoffman and Miriam R. Johnston and Rob Kooper and David S. LeBauer and Joshua Mantooth and William Parton and Benjamin Poulter and Tristan Quaife and Ann Raiho and Kevin Schaefer and Shawn P. Serbin and James Simkins and Kevin R. Wilcox and Toni Viskari and Michael C. Dietze},
 title		= {Beyond Ecosystem Modeling: A Roadmap to Community Cyberinfrastructure for Ecological Data-Model Integration},
 journal	= GCB,
 volume		= 27,
 number		= 1,
 pages		= {13--26},
 doi		= {10.1111/gcb.15409},
 day		= 1,
 month		= jan,
 year		= 2021,
 abstract	= {In an era of rapid global change, our ability to understand and predict Earth's natural systems is lagging behind our ability to monitor and measure changes in the biosphere. Bottlenecks to informing models with observations have reduced our capacity to fully exploit the growing volume and variety of available data. Here, we take a critical look at the information infrastructure that connects ecosystem modeling and measurement efforts, and propose a roadmap to community cyberinfrastructure development that can reduce the divisions between empirical research and modeling and accelerate the pace of discovery. A new era of data-model integration requires investment in accessible, scalable, transparent tools that integrate the expertise of the whole community, including both modelers and empiricists. This roadmap focuses on five key opportunities for community tools: the underlying foundationsof community cyberinfrastructure; data ingest; calibration of models to data; model-data benchmarking; and data assimilation and ecological forecasting. This community-driven approach is key to meeting the pressing needs of science and society in the 21st century.}
}