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Predicting spring green-up across diverse North American grasslands
Alison K. Post
, Koen Hufkens
,
Andrew D. Richardson
Informatics, Computing, and Cyber Systems, School of
Research output
:
Contribution to journal
›
Article
›
peer-review
32
Scopus citations
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Keyphrases
Ecosystem Processes
100%
Best Model
100%
Vegetation Phenology
100%
Spring Onset
100%
Climate Regions
100%
Phenology Model
100%
Spring Green-up
100%
North American Grasslands
100%
Water Availability
50%
Soil Moisture
50%
Grassland
50%
Climate Processes
50%
Carbon Uptake
50%
Ecological System
50%
Climate Data
50%
Semi-natural Grassland
50%
Water Cycle
50%
Climate Change Impacts
50%
Carbon Energy
50%
Carbon Cycling
50%
Future Ecosystems
50%
Temperature Limitation
50%
Temperate Forest
50%
Grassland Systems
50%
Warm Temperature
50%
Grassland Vegetation
50%
Grassland Dynamics
50%
Root Mean Square Error
50%
Local Climate
50%
Energy Cycle
50%
Digital Imagery
50%
Representative Concentration Pathways
50%
Projected Climate
50%
Water Cycling
50%
Spring Phenology
50%
Grassland Type
50%
PhenoCam
50%
Green-up
50%
Accumulated Precipitation
50%
Climate Model Performance
50%
Optimal Threshold
50%
Agricultural and Biological Sciences
Americans
100%
Spring
100%
Grassland
100%
Phenology
50%
Soil Moisture
12%
Climate Change
12%
Climate Modeling
12%
Climate Data
12%
Temperate Forest
12%
Earth and Planetary Sciences
Grassland
100%
Vegetation
25%
Climate Change
12%
Soil Moisture
12%
Climate Modeling
12%
Limiting Factor
12%
Water Availability
12%
Temperate Forest
12%
Root-Mean-Square Error
12%