Conifer establishment following regeneration timber harvests is predicted by version 2 of the Regeneration Establishment Model, a submodel of the Prognosis Model. The regeneration model covers 10 species for forests in Montana, central Idaho, and northern Idaho. Most harvest and site preparation methods can be simulated so that alternative treatments can be evaluated. Also included in the model is the influence of western spruce budworm (Choristoneura accidentalis) on regeneration success. The model predicts the probability of stocking, seedling density, species composition, and seedling heights 2 to 20 years after harvest. This paper describes the study design, equation development, model formulation, and model behavior for the Regene...
A model was developed that can be used to estimate the probability of achieving regeneration at a va...
A method of linking SORTIE-ND and PrognosisBC was developed for the purpose of predicting natural re...
Graduation date: 2009Historically, between 40-60% of the Coast Range of Oregon was comprised of\ud s...
Conifer establishment following regeneration timber harvests is predicted by version 2 of the Regene...
PrognosisBC is a growth and yield computer model, which is an adaptation of the USDA Forest Vegetati...
The portfolio of research associated with a designated forest research field facility typically cons...
Predicting stand structure through time is a challenge in all aspects of forest management. Predicti...
Projecting the effects of silvicultural choices on forest regeneration has traditionally been diffic...
Forests are dynamic systems, seldom in equilibrium. This is due, in part, to anthropogenic disturban...
Linking regeneration activities to desired future forest conditions is a critical component of susta...
Silviculture practices interact with multiple sources of variability to influence regeneration trend...
The presence of natural regeneration and its abundance has a tremendous impact on the future develo...
Whitebark pine (Pinus albicaulis Engelm.) has recently experienced high mortality due to multiple st...
Despite the commercial importance, and abundant harvest, of eastern white pine (Pinus strobus L.) in...
Tree regeneration surveys provide insight into potential forest change and trajectories of stand dev...
A model was developed that can be used to estimate the probability of achieving regeneration at a va...
A method of linking SORTIE-ND and PrognosisBC was developed for the purpose of predicting natural re...
Graduation date: 2009Historically, between 40-60% of the Coast Range of Oregon was comprised of\ud s...
Conifer establishment following regeneration timber harvests is predicted by version 2 of the Regene...
PrognosisBC is a growth and yield computer model, which is an adaptation of the USDA Forest Vegetati...
The portfolio of research associated with a designated forest research field facility typically cons...
Predicting stand structure through time is a challenge in all aspects of forest management. Predicti...
Projecting the effects of silvicultural choices on forest regeneration has traditionally been diffic...
Forests are dynamic systems, seldom in equilibrium. This is due, in part, to anthropogenic disturban...
Linking regeneration activities to desired future forest conditions is a critical component of susta...
Silviculture practices interact with multiple sources of variability to influence regeneration trend...
The presence of natural regeneration and its abundance has a tremendous impact on the future develo...
Whitebark pine (Pinus albicaulis Engelm.) has recently experienced high mortality due to multiple st...
Despite the commercial importance, and abundant harvest, of eastern white pine (Pinus strobus L.) in...
Tree regeneration surveys provide insight into potential forest change and trajectories of stand dev...
A model was developed that can be used to estimate the probability of achieving regeneration at a va...
A method of linking SORTIE-ND and PrognosisBC was developed for the purpose of predicting natural re...
Graduation date: 2009Historically, between 40-60% of the Coast Range of Oregon was comprised of\ud s...