NE U.S. regional estimates of forest productivity and runoff were generated using the PnET-II model at 30 arc-second resolution. SCIOPS produced predictions of net primary production and runoff validated against observed data at multiple locations. The analysis identifies spatial patterns driven by precipitation and growing degree days.
Use Cases
- Compare predicted NPP values (700-1450 g m-2 yr-1) against field observations to validate carbon sequestration models.
- Analyze spatial patterns of predicted runoff (24-150 cm yr-1) against USGS watershed data to calibrate hydrological forecasts.
- Investigate sensitivity of NPP to precipitation and soil water holding capacity for hardwood and pine forest types.
- Assess the relationship between foliar nitrogen concentration and NPP predictions for spruce-fir forests.
- Map regional mean NPP (1084 g m-2 yr-1) and runoff (63 cm yr-1) to identify areas of water versus energy limitation.
Strengths
- Model outputs validated at multiple locations within the region showing close agreement.
- Regional analysis conducted at 30 arc-second resolution (~1 km) providing fine spatial detail.
- Sensitivity analyses performed to identify limiting factors (water vs. nitrogen) for different forest types.
Limitations
- Model predictions showed slight bias, overpredicting at high elevations and underpredicting at lower elevations.
- Substantial uncertainties exist for spruce-fir NPP estimates due to sensitivity to foliar nitrogen.
- No explicit row count, column list, or sample data provided to assess dataset size and structure.
Provenance
- Source
- SCIOPS via NASA EarthData.
- Collection Method
- Generated by running the PnET-II forest carbon and water balance model with monthly climate data and a satellite-derived land cover map in a GIS.
- Time Range
- null
- Freshness
- null
- Geography
- Northeastern United States.