Skip to main content

Surrogates for Foliar Dry Matter in Loblolly Pine

Buy Article:

$21.50 plus tax (Refund Policy)

Surrogates of foliar dry matter of trees commonly are used in applications of modeling and sampling. Some surrogates are linearly related to foliar dry matter. In this study, the linear relation between foliar dry matter (F) and cross-sectional area of the bole at the base of the live crown (A) was examined in loblolly pine (Pinus taeda L.). In addition, a linear relation was established between F and BR, where B is the cross-sectional area of the bole at breast height, and R is the ratio: (length of the live crown)/(tree height minus breast height). Slopes (c1 and c2) of linear models (F = c1 A and F = c2 BR) were estimated with maximum likelihood procedures with data gathered in: (1) June through mid-August 1984, in central Louisiana, (2) August and September 1991, in Virginia and North Carolina, and (3) August and September 1992, in central Louisiana. The estimates of both c1 and c2 obtained from data gathered in June through mid-August were greater than the estimates obtained from the two sets of data gathered in August and September. The estimate of c2 was as precise as the estimate of c1 obtained from each of the three sets of data. BR appears to be as good a surrogate for F as A. Linear relations between foliar dry matter and cross-sectional area of first-order branches in lower, middle, and upper crown strata also were examined. Branches in the lower stratum had less foliar dry matter per unit of cross-sectional area than branches in the other two strata. For. Sci: 40(3):576-585.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Basal area; cross-sectional area at crown base; live-crown ratio; maximum likelihood estimation; pipe model

Document Type: Journal Article

Affiliations: Professor, College of Forestry and Wildlife Resources, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0324

Publication date: 1994-08-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more