Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration
Author
Fer, IstemGardella, Anthony K.
Shiklomanov, Alexey N.
Campbell, Eleanor E.
Cowdery, Elizabeth M.
De Kauwe, Martin G.
Desai, Ankur
Duveneck, Matthew J.
Fisher, Joshua B.
Haynes, Katherine D.
Hoffman, Forrest M.
Johnston, Miriam R.
Kooper, Rob
LeBauer, David S.
Mantooth, Joshua
Parton, William J.
Poulter, Benjamin
Quaife, Tristan
Raiho, Ann
Schaefer, Kevin
Serbin, Shawn P.
Simkins, James
Wilcox, Kevin R.
Viskari, Toni
Dietze, Michael C.
Affiliation
Univ Arizona, Coll Agr & Life SciUniversity of Arizona, Arizona Agricultural Experiment Station
Issue Date
2020-10-19Keywords
accessibilitybenchmarking
community cyberinfrastructure
data
data assimilation
ecosystem models
interoperability
reproducibility
Metadata
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WileyCitation
Fer, Istem, et al. "Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration." Global change biology (2020).Journal
Global Change BiologyRights
© 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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, and 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 foundations of community cyberinfrastructure; data ingest; calibration of models to data; model‐data benchmarking; and data assimilation and ecological forecasting. This community‐driven approach is a key to meeting the pressing needs of science and society in the 21st century.Note
Open access articleISSN
1354-1013EISSN
1365-2486Version
Final published versionSponsors
California Institute of Technologyae974a485f413a2113503eed53cd6c53
10.1111/gcb.15409
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Except where otherwise noted, this item's license is described as © 2020 The Authors. Global Change Biology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.