Skip to main content

Spatial Methods for Quantifying Forest Stand Structure Development: A Comparison Between Nearest-Neighbor Indices and Variogram Analysis

Buy Article:

$21.50 plus tax (Refund Policy)



Insight into forest stand structure is of capital importance for understanding forest ecosystem structure and function. The ability of two spatial methods—based on (1) nearest-neighbor indices and (2) geostatistical variogram analysis—to quantify forest stand structure and its development over short time periods was investigated in two mixed Scots pine stands. Results show that the two methods are complementary in quantifying the three components of forest stand structure: positioning, mixture, and differentiation. The principal advantage of nearest-neighbor indices was their capacity for detecting subtle structure changes; moreover, they are easy to calculate and interpret. Variograms of height and indicator variograms of presence/absence data were more complicated in their use and required more input data, but provided additional information on the number, impact, and range of structure-determining factors such as competition and management. In this context, the concept of the mark variograms is discussed. FOR. SCI. 49(1):36–49.
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: Belgium; Pinus sylvestris; Spatial analysis; autocorrelation; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; mark variogram; natural resource management; natural resources

Document Type: Miscellaneous

Affiliations: 1: Laboratory of Forestry, Ghent University, Geraardsbergsesteenweg 267, B-9090 Melle-Gontrode, Belgium, Phone: +32 9 264 90 26; Fax: +32 3 264 30 32 [email protected] 2: Dept. of Soil Management and Soil Care, Ghent University, [email protected] 3: Laboratory of Forestry, Ghent University, [email protected] 4: Laboratory of Forestry, Ghent University, [email protected] 5: Laboratory of Forestry, Ghent University, [email protected]

Publication date: 2003-02-01

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