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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 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 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: Robert B. Smith Publisher: ISBN: Category : Forests and forestry Languages : en Pages : 32
Book Description
A regional sample of tree-ring measurements was used to determine average annual growth in trees of 10 major species in New England. There have been extended periods of decreasing growth rates in red spruce since about 1960 and in balsam fir since about 1965. The other eight species, which included sugar maple and white pine, showed constant or increasing growth rates through 1980. The decreases in growth rate in sampled red spruce and balsam fir were independent of physical site characteristics, elevation, and geographic location, indicating that regional factors are involved. Weather parameters and indexes were not closely correlated with growth rates, and the best predictive equation explained only 33 percent of annual variation. Due to past harvests and epidemics of the spruce budworm, much of the red spruce-balsam fir forest below 1,000 m in elevation can be considered to be functioning as even-aged. Historical growth information suggests that these trees should have reached maximum growth around 1960, and that decreasing growth rates since then are the result of normal aging.
Author: Richard M. Teck
Author: Richard M. Teck
Author: Richard M. Teck
Author: Donald E. Hilt
Author: Richard M. Teck
Author: Donald E. Hilt
Author: 
Author: R. L. Bailey
Author: Robert B. Smith
Author: Northeastern Forest Experiment Station (Radnor, Pa.)
Author: Northeastern Forest Experiment Station (Radnor, Pa.)