Skip to main content

Height Estimation in Stem Analysis Using Second Differences

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

Issa, a new method for estimating heights at different ages from crosscut ring count, is discussed in this paper. Heights corresponding to the location of nodal diaphragms for 27 black pine trees were used as control values to test the precision of the Issa method in comparison with Lenhart's (1972) and Carmean's (1972) methods and with branch whorl method. The algorithms were applied at three different crosscut sampling frequencies (50-100-200 cm). The precision of the methods was tested both in height growth and in annual height increment estimation and the predicted values were analyzed for each sampling frequency. The Issa method was the most precise at a frequency of 50 cm, and the Carmean method was the most precise at a frequency of 200 cm. Lenhart's algorithm produced the least satisfactory estimations independently of crosscut sampling frequency. For. Sci. 40(2):329-340.

Keywords: Pinus nigra; Tree height growth; annual height increment; estimation procedures; stem analysis

Document Type: Journal Article

Affiliations: Researcher with the Istituto Sperimentale per la Selvicoltura, Viale S. Margherita 80, 52100-AREZZO (Italy)

Publication date: May 1, 1994

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites
saf/fs/1994/00000040/00000002/art00010
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial 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