Using model-data fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling

Agriculture & Biology

• biomass 4%
• carbon 52%
• carbon cycle 21%
• carbon sinks 9%
• climate change 13%
• ecosystems 6%
• eddy covariance 23%
• forest ecosystems 9%
• growing season 6%
• model uncertainty 26%
• neural networks 17%
• stems 5%
• terrestrial ecosystems 100%
• testing 3%
• uncertainty 79%

Earth & Environmental Sciences

• artificial neural network 12%
• biomass 4%
• budget 5%
• carbon 45%
• carbon cycle 13%
• carbon flux 14%
• carbon stock 7%
• climate change 7%
• ecosystem 3%
• eddy covariance 14%
• forest ecosystem 6%
• growing season 6%
• long-term trend 6%
• parameter 2%
• parameterization 5%
• rate 2%
• terrestrial ecosystem 80%
• test 2%
• trend 39%

Chemical Compounds

• Carbon Atom 37%
• Carbon Cycle 35%
• Ecosystem 95%
• Time 4%