Individual-tree Probability of Survival Model for the Northeastern United States PDF Download
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Author: Richard M. Teck Publisher: ISBN: Category : Forest productivity Languages : en Pages : 16
Book Description
Describes a distance-independent individual-tree probability of survival model for the Northeastern United States. Survival is predicted using a six-parameter logistic function with species-specific coefficients. Coefficients are presented for 28 species groups. The model accounts for variability in annual survival due to species, tree size, site quality, and the tree's competitive position within the stand. Model performance is evaluated using the chi-square goodness-of-fit test. Results are presented for the calibration data and an independent validation data set. The model has been incorporated into NE-TWIGS.
Author: Richard M. Teck Publisher: ISBN: Category : Forest productivity Languages : en Pages : 16
Book Description
Describes a distance-independent individual-tree probability of survival model for the Northeastern United States. Survival is predicted using a six-parameter logistic function with species-specific coefficients. Coefficients are presented for 28 species groups. The model accounts for variability in annual survival due to species, tree size, site quality, and the tree's competitive position within the stand. Model performance is evaluated using the chi-square goodness-of-fit test. Results are presented for the calibration data and an independent validation data set. The model has been incorporated into NE-TWIGS.
Author: Richard M. Teck Publisher: ISBN: Category : Forests and forestry Languages : en Pages : 16
Book Description
S2Describes a species-specific, distance-independent individual-tree diameter growth model for the Northeastern United States. Diameter growth is predicted in two steps using a two parameter, sigmoidal growth function modified by a one parameter exponential decay function with species-specific coefficients. Coefficients are presented for 28 species groups. The model accounts for variability in annual diameter growth due to species, tree size, site quality, and the tree's competitive position within the stand. Model performance is evaluated using the mean predicted error and the root mean square error. Results are presented for the calibration data and an independent validation data set. The model has been, incorporated into NE-TWIGS, a computerized forest growth model for the Northeastern United States.S3.
Author: Richard M. Teck
Author: Richard M. Teck
Author: Richard M. Teck
Author: 
Author: Northeastern Forest Experiment Station (Radnor, Pa.)
Author: Northeastern Forest Experiment Station (Radnor, Pa.)
Author: Richard M. Teck
Author: 
Author: David A. Hamilton
Author: 
Author: