Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Abstract
Forests absorb large amounts of carbon from the atmosphere through photosynthesis and store a significant fraction of the carbon in biomass and soils. A March 2016 workshop focused on how best to use modeling approaches, field measurements, and satellite observations to improve projections of carbon cycle dynamics in response to climate change and human activities.
Department
Earth Systems Research Center
Publication Date
11-2-2016
Journal Title
EOS
Publisher
Institute of Physics (IOP)
Digital Object Identifier (DOI)
Document Type
Report
Recommended Citation
Xiao, J., Y. Luo, and G. Shrestha (2016), Improving carbon cycle projections for better carbon management, Eos, 97, https://dx.doi.org/10.1029/2016EO062341. Published on 02 November 2016.
Rights
© 2016. The authors. CC BY-NC-ND 3.0
COinS
Comments
This is an article published by AGU in EOS in 2016, available online: https://dx.doi.org/10.1029/2016EO062341