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Author : K. Leroy Dolph
Publisher : Unknown
Page : 12 pages
File Size : 51,5 Mb
Release : 1992
Category : Abies magnifica
ISBN : MINN:31951D02988419V
Author : K. Leroy Dolph
Publisher : Unknown
Page : 6 pages
File Size : 50,5 Mb
Release : 1992
Category : Abies magnifica
ISBN : OCLC:247023485
Periodic (10-year) diameter increment of individual red fir trees in Califomia and southern Oregon can be predicted from initial diameter and crown ratio of each tree, site index, percent slope, and aspect of the site. The model actually predicts the natural logarithm of the change in squared diameter inside bark between the start and the end of a 10-year growth period. To estimate diameter increment, the predicted value is converted to a change in diameter outside bark. Data used to develop the model came from 1500 tree samples from 56 young-growth stands in the study area. Coefficients for the log-linear model were obtained using least-squares linear regression.
Author : K. Leroy Dolph
Publisher : Unknown
Page : 12 pages
File Size : 49,5 Mb
Release : 1992
Category : Abies magnifica
ISBN : MINN:31951D029884226
An equation is given to estimate 10-year height increment for young-growth red fir trees in California and southern Oregon. The independent variables are the individual tree, stand, and site characteristics significantly related to a tree's height growth. Data used to develop the equation came from stem analysis of 492 trees sampled from 56 stands in the study area. Parameter estimates for the predictive equation were obtained using least-squares linear regression.
Author : K. Leroy Dolph
Publisher : Unknown
Page : 12 pages
File Size : 47,8 Mb
Release : 1992
Category : Abies magnifica
ISBN : UIUC:30112099465020
An equation is given to estimate 10-year height increment for young-growth red fir trees in California and southern Oregon. The independent variables are the individual tree, stand, and site characteristics significantly related to a tree's height growth. Data used to develop the equation came from stem analysis of 492 trees sampled from 56 stands in the study area. Parameter estimates for the predictive equation were obtained using least-squares linear regression.
Author : Anonim
Publisher : Unknown
Page : 1070 pages
File Size : 54,9 Mb
Release : 1993
Category : Government publications
ISBN : UIUC:30112063914854
Author : United States. Superintendent of Documents
Publisher : Unknown
Page : 1068 pages
File Size : 43,5 Mb
Release : 1993
Category : Government publications
ISBN : MINN:31951P004370753
February issue includes Appendix entitled Directory of United States Government periodicals and subscription publications; September issue includes List of depository libraries; June and December issues include semiannual index
Author : Martin W. Ritchie
Publisher : Unknown
Page : 416 pages
File Size : 52,8 Mb
Release : 1999
Category : Forest productivity
ISBN : MINN:31951D02881920W
Author : K. Leroy Dolph
Publisher : Unknown
Page : 6 pages
File Size : 43,8 Mb
Release : 1989
Category : Abies magnifica
ISBN : MINN:31951D02964697Z
Author : Anonim
Publisher : Unknown
Page : 8 pages
File Size : 42,7 Mb
Release : 1992
Category : Forests and forestry
ISBN : UIUC:30112096865115
Author : Anonim
Publisher : Unknown
Page : 88 pages
File Size : 41,5 Mb
Release : 1993
Category : Forests and forestry
ISBN : IND:30000120299916
Author : CABI
Publisher : CABI
Page : 538 pages
File Size : 44,8 Mb
Release : 2013
Category : Technology & Engineering
ISBN : 9781780642369
The CABI Encyclopedia of Forest Trees provides an extensive overview of 300 of the world's most important forest trees. Tropical, subtropical, temperate and boreal trees of major economic importance are included, covering tree species used in agroforestry practices around the world. Many of the species covered are considered to be multipurpose trees with uses extending beyond timber alone; the land uses such as watershed protection or provision of windbreaks, and non-wood uses such as the production of medicines, resins, food and forage, are also listed. Comprehensive information is presented on each tree's importance, with a summary of the main characteristics of the species, its potential for agroforestry use and any disadvantages it possesses. The tree's botanical features such as habit, stem form, foliage, inflorescence, flower and fruit characters and phenology are covered in detail with over 70 color plate pictures to aid identification. Also included are specific sections devoted to pests and diseases, distribution and silvicultural characteristics and practices, including seed sowing, nursery care, planting, thinning, and harvesting. In addition to the wealth of information detailed, based on datasheets from CABI's Forestry Compendium, selected references for further reading are provided for each entry, making this book an essential reference work for forestry students, researchers and practitioners.
Author : K. Leroy Dolph
Publisher : Unknown
Page : 6 pages
File Size : 54,9 Mb
Release : 1989
Category : Abies magnifica
ISBN : MINN:31951D02964698X
Author : Anonim
Publisher : Unknown
Page : 114 pages
File Size : 45,8 Mb
Release : 1978
Category : Forests and forestry
ISBN : UOM:39015027135139
Author : K. Leroy Dolph
Publisher : Unknown
Page : 24 pages
File Size : 51,6 Mb
Release : 1991
Category : Abies magnifica
ISBN : MINN:31951D029884153
Author : Mark L. Hanus,David W. Hann,David D. Marshall
Publisher : Unknown
Page : 40 pages
File Size : 40,7 Mb
Release : 2000
Category : Forests and forestry
ISBN : MINN:31951D019677708
Equations for predicting height to crown base are presented for tree species from southwest Oregon. Equations for undamaged and damaged trees were estimated with weighted nonlinear regression techniques. The effects of specific damaging agents on the height to crown base were explored, and damage correction factors were estimated. The damage correction factors can be used to correct the predicted crown ratio for specific damaging agents and their severity in samples where damage is noted. These equations are being incorporated into the new southwest Oregon version of ORGANON (ORegon Growth ANalysis and projectiON), a model for predicting the growth of individual trees in forest stands. The equations extend the past model to older stands and stands with a heavier component of hardwood tree species.