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Keyphrases
Modeling Approach
100%
Canopy Conductance
100%
Density Data
100%
State-space Model
100%
Sap Flux Density
100%
Canopy Transpiration
36%
Soil Moisture
18%
Ecosystem Model
18%
Sap Flux
18%
Vapor Pressure Deficit
18%
Statistical Framework
18%
Ecosystem Function
9%
Soil Moisture Content
9%
Carbon Uptake
9%
Observation Well
9%
Environmental Variability
9%
Missing Data
9%
Environmental Variables
9%
Upper Canopy
9%
Flux Data
9%
Model Uncertainty
9%
Ecophysiological Responses
9%
Response to Environmental Change
9%
Environmental Response
9%
Water Uptake
9%
Gap Filling
9%
Tree Sap
9%
Pearson Correlation Coefficient
9%
State Space
9%
Modeling Framework
9%
Improved Prediction
9%
Uncertainty Estimation
9%
Hierarchical Bayesian Model
9%
Stem Sap Flux
9%
Atmospheric Drought
9%
Tree Hydraulics
9%
Model Linking
9%
Sensor Level
9%
Bayesian State-space Model
9%
Conductance-based Model
9%
Water Regulation
9%
Plant Water
9%
North Carolina Piedmont
9%
Flux Observation
9%
Observation Error
9%
Advanced Statistical
9%
Atmospheric Moisture
9%
Soil Drought
9%
Canopy Processes
9%
Earth and Planetary Sciences
Soil Moisture
100%
Flux Density
100%
Atmospherics
66%
Vapor Pressure
66%
Environmental Change
33%
United States of America
33%
Ecosystem Function
33%
North Carolina
33%
Correlation Coefficient
33%
Agricultural and Biological Sciences
Sap
100%
Sweating
80%
Soil Moisture
60%
Ecosystem Model
40%
Vapor Pressure
40%
Model Uncertainty
20%