PnET-II model estimates of forest productivity and runoff for the northeastern United States at 30 arc-second resolution. Predicted net primary production ranged from 700 to 1450 g m-2 yr-1 with a regional mean of 1084 g m-2 yr-1, and runoff ranged from 24 to 150 cm yr-1. The model was run by SCIOPS using monthly climate data and a satellite-derived land cover map.
Use Cases
- Predict runoff from precipitation and soil water holding capacity data across forest types.
- Analyze spatial patterns of net primary production using growing degree days and precipitation features.
- Validate model predictions of foliar nitrogen concentration against observed site measurements.
- Compare water versus nitrogen limitation sensitivity for hardwood, pine, and spruce-fir forests.
- Assess bias in runoff predictions at high and low elevation watersheds.
Strengths
- Model outputs validated at multiple locations within the region with close agreement.
- Spatial resolution is 30 arc-seconds, approximately 1 km.
- Randomized sensitivity analyses were performed to identify limiting variables.
Limitations
- Model showed slight bias towards overprediction at high elevations and underprediction at lower elevations.
- Substantial uncertainties exist for spruce-fir forest productivity predictions.
- No specific row count, column list, or sample data is provided.
Provenance
- Source
- nasa_earthdata
- Collection Method
- PnET-II model run in conjunction with a Geographic Information System containing monthly climate data and a satellite-derived land cover map.
- Time Range
- null
- Freshness
- null
- Geography
- Northeastern United States