If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

A Comparison of Distance-Dependent Competition Measures for Height and Basal Area Growth of Individual Conifer Trees

$29.50 plus tax (Refund Policy)

Buy Article:

Abstract:

The effect of competition on height and diameter² growth of individual conifer trees was examined. In this paper we modeled growth of individual trees as a product of potential growth reduced by competition. We investigated a number of competition indices that incorporate tree sizes and distances from neighbors, evaluated over varying competition zones. For these indices the reduction in mean square error relative to no competition index was used to judge performance. The performance of these indices varies by species and growth component (height or diameter² growth), but performance was generally better for tolerant white fir than for intolerant ponderosa pine. Additional competition measures that incorporate estimated crown parameters were developed and shown to improve on many of the traditional competition measures especially for ponderosa pine and Douglas-fir. For white fir, basal area performed well, but not as well as the individual tree competition indices that incorporate estimated crown parameters. We found that expanding the search zone did not improve our ability to estimate competitive effects. Choosing competitors with a height angle gauge was generally superior to selecting them with a DBH angle gauge. Results are summarized by species, type of competition index, and competition evaluation zone. For. Sci. 38(3):695-720.

Keywords: Growth and yield; competition index; growing space; resource partitioning

Document Type: Journal Article

Affiliations: Graduate Student Researcher, University of California, Berkeley 94720

Publication date: August 1, 1992

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

Tools

Favourites

Share Content

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
ingentaconnect 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