Dynamics of an Uneven-Aged Forest Stand

Author: Moser, John W.

Source: Forest Science, Volume 18, Number 3, 1 September 1972 , pp. 184-191(8)

Publisher: Society of American Foresters

Buy & download fulltext article:


Price: $29.50 plus tax (Refund Policy)


The components of net growth for number of trees and basal area are described as a system of first-order, ordinary differential equations for an uneven-aged forest stand. Data from a 6-year period are utilized to estimate coefficients for the governing equations. Thirteen successive years of historical data are subsequently used to compare observed and predicted future states of the forest stand. The proposed method adequately estimated per-acre values for the components under consideration. Forest Sci. 18:184-191.

Keywords: Stand growth; differential equations; permanent plot analysis; population estimators; yield estimates

Document Type: Journal Article

Affiliations: Associate Professor, Dep. of Forestry and Conservation, Purdue University, Lafayette, Indiana

Publication date: September 1, 1972

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.
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
Related content



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

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page