Scenario | Description | Parameter changeda | Parameter valuea |
---|---|---|---|
Residues | Increase collection of harvest residues for bioenergyb | Residues recovered (%) HWP component changes | 40% to 70% Bioenergy + 30% |
Productivityc | Increase productivity of half of existing, loblolly pine plantations through silvicultural activities | Additional disturbance type Proportion targeted Increase growth curve | Increase productivity 50%/year 15% increase |
Reduce deforestationc | Reduce annual area deforested on private land | Deforestation rate (area) | 25% reduction/year (1304 to 978Â ha/year) |
No net lossc | Increase annual area afforested to equal deforestation rate on private land | Afforestation rate (area) | 3 × increase (432 to 1304 ha/year) |
Longer-lived products (LLP) | Increase the proportion of harvested wood for LLP at the cost of paper products (PP) | HWP components change | LLP + 10%, PP − 10% |
Bioenergy | Increase the proportion of harvested wood for bioenergy at the cost of LLP | HWP components change | Bioenergy + 10%, LLP − 10% |
Hurricane—Hugo salvaged | Simulate a hurricane in 2018 with effects and salvage rates mimicking Hurricane Hugo | Percentage of wood salvaged | SW: 0% to 14% HW: 0% to 1.2% (of mortality)e |
Hurricane—Increase salvaged | Simulate a hurricane in 2018 with effects mimicking Hurricane Hugo, but increase salvage rates | Percentage of wood salvaged | SW: 0% to 31% HW: 0% to 5% (of mortality)e |