TY - JOUR
T1 - Leveraging Environmental Research and Observation Networks to Advance Soil Carbon Science
AU - Weintraub, Samantha R.
AU - Flores, Alejandro N.
AU - Wieder, William R.
AU - Sihi, Debjani
AU - Cagnarini, Claudia
AU - Gonçalves, Daniel Ruiz Potma
AU - Young, Michael H.
AU - Li, Li
AU - Olshansky, Yaniv
AU - Baatz, Roland
AU - Sullivan, Pamela L.
AU - Groffman, Peter M.
N1 - Funding Information:
The ideas in this manuscript emerged from a CZO‐LTER‐NEON‐ISMC meeting titled Using Observation Networks to Advance Earth System Understanding: State of the Art, Data‐Model Integration, and Frontiers, held in Boulder CO in February 2018. Approximately 50 participants representing U.S. and international networks convened to discuss cross‐ network science. The authors thank all of them for the interesting discussions and insights. The authors also acknowledge the National Science Foundation for providing funding for the meeting under awards ICER‐ 1445246, DBI‐1649997, and DEB‐ 1550875.
Publisher Copyright:
©2019. American Geophysical Union. All Rights Reserved.
PY - 2019/5
Y1 - 2019/5
N2 - Soil organic matter (SOM) is a critical ecosystem variable regulated by interacting physical, chemical, and biological processes. Collaborative efforts to integrate perspectives, data, and models from interdisciplinary research and observation networks can significantly advance predictive understanding of SOM. We outline how integrating three networks—the Long-Term Ecological Research with a focus on ecological dynamics, the Critical Zone Observatories with strengths in landscape/geologic context, and the National Ecological Observatory Network with standardized multiscale measurements—can advance SOM knowledge. This integration requires improved data dissemination and sharing, coordinated data collection activities, and enhanced collaboration between empiricists and modelers within and across networks.
AB - Soil organic matter (SOM) is a critical ecosystem variable regulated by interacting physical, chemical, and biological processes. Collaborative efforts to integrate perspectives, data, and models from interdisciplinary research and observation networks can significantly advance predictive understanding of SOM. We outline how integrating three networks—the Long-Term Ecological Research with a focus on ecological dynamics, the Critical Zone Observatories with strengths in landscape/geologic context, and the National Ecological Observatory Network with standardized multiscale measurements—can advance SOM knowledge. This integration requires improved data dissemination and sharing, coordinated data collection activities, and enhanced collaboration between empiricists and modelers within and across networks.
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U2 - 10.1029/2018JG004956
DO - 10.1029/2018JG004956
M3 - Comment/debate
AN - SCOPUS:85065547192
VL - 124
SP - 1047
EP - 1055
JO - Journal of Geophysical Research: Biogeosciences
JF - Journal of Geophysical Research: Biogeosciences
SN - 2169-8953
IS - 5
ER -