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Project: Reducing Uncertainty in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area (SFA)
Title Date
Drought Sensitivity of Gross Primary Productivity for Water- vs. Energy-Limited Ecosystems RGMA -
Leveraging ecosystem-scale constraints to assess Nature-based Climate Solutions RGMA -
Leveraging ecosystem-scale constraints to assess Nature-based Climate Solutions RGMA -
Using Ecohydrological Optimality to Parameterize Plant Water Use Strategies RGMA -
Permafrost and Climate Change: Carbon Cycle Feedbacks From the Warming Arctic RGMA -
A Novel Emergent Constraint Reveals Systemic Underestimation of Drought Impacts by Earth System Models RGMA -
Groundwater drought decreases carbon fixation in a semi-arid oak savannah RGMA -
Drought Susceptibility and Response Across Different Vegetation Types in California RGMA -
Global C4 distribution estimate constrained by observations and optimality theory RGMA -
A top-down constraint on the biome-scale temperature sensitivity of ecosystem respiration reveals misrepresentation in terrestrial biosphere models RGMA -
Improving wetland model realism: Activating and parametrizing sub-grid level wetland land-unit in the E3SM land model (ELM) RGMA -
Extreme storm events contribute to forest dynamics in the Amazon RGMA -
Understanding drought impacts on ecosystem water use efficiency among flux towers RGMA -
Uncertainty of Future Land Use and Land Cover Change Spatial Downscaling and Its Impacts on Terrestrial Carbon Cycle in the High-latitude North America RGMA -
Using Water Availability to Develop Respiration Models for Eddy-covariance Observations RGMA -
Strong Sensitivity of Wetland CH4 emissions to Genome-inferred Microbial Trait Distribution RGMA -
Atmospheric Feedbacks Modulate Land Parameters’ Influence on Land Surface Fluxes RGMA -
Mitigation Through Bioenergy Expansion Versus Reforestation Yields Divergent Terrestrial Carbon Storage and Regional Climate Responses RGMA -
Impacts of foliage clumping on global photosynthesis RGMA -
Climate and Carbon Responses to a Restoration Scenario of Idealized CO2 Emissions Reversal RGMA -
Explaining large differences between spatial and temporal responses of vegetation to changes in soil water availability RGMA -
Using Statistical Learning Methods to Accelerate Model Parameter Sensitivity Experiments RGMA -
Quantifying Extremes in Net Biospheric Production and Attribution to Compound Climate Drivers RGMA -
Quantification of Environmental Drivers Underlying the Changes in Urban Vegetation Using Machine Learning RGMA -
Using causal analysis and machine learning to evaluate the CO2 fertilization of global photosynthesis RGMA -
Quantifying Extremes in Net Biospheric Production and Attribution to Compound Climate Drivers RGMA -
Machine learning–based observation-constrained global wildfire projections RGMA -
Proposed changes to the ILAMB Scoring Methodology RGMA -
Advancing our understanding of the impacts of historic and projected land use in the Earth System: The Land Use Model Intercomparison Project (LUMIP) RGMA -
Analyzing Airborne Fraction Trends and the Ultimate Fate of Anthropogenic CO2 by Tracking Carbon Flows in a Simple Climate Model RGMA -

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