Leveraging model-generated hypotheses and cross-network observations to understand biome- to global-scale controls on soil organic matter stocks
- ADS bibcode
- 2019AGUFM.B21K2357G
- year
- 2019
- Listed Authors
- Georgiou, K.
- Malhotra, A.
- Ennis, J.
- Grandy, S.
- Hartman, M. D.
- Moore, J.
- Pierson, D.
- Sulman, B.
- Jackson, R. B.
- Wieder, W. R.
- Listed Institutions
- Stanford University, Stanford, CA, United States
- Stanford University, Stanford, CA, United States
- Stanford University, Stanford, CA, United States
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, United States
- Colorado State University, Fort Collins, CO, United States
- University of New Hampshire, Durham, NH, United States
- Oregon State University, Corvalis, OR, United States
- Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- Stanford University, Stanford, CA, United States
- Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States
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Linked Institutions