Skip to main content

Evaluation of the Interaction of Two Environmental Factors Affecting Douglas-fir Seedling Growth: Light and Nitrogen

Buy Article:

$21.50 plus tax (Refund Policy)

Several models of forest growth rely upon an assumption that the environmental factors controlling growth can be treated as multiplicative nonlinear functions. This concept with respect to light and nitrogen was tested by placing Douglas-fir [Pseudotsuga menziesii (Mirb.) Franco] seedlings in subirrigated sand cultures under three light levels (8, 28, and 100 percent full sun) and four levels of nitrogen (2.3, 11, 39, and 77 ppm). Growth increased with increasing light and N, but the low N treatments showed severe chlorosis in the high light treatment. The data, analyzed by ANOVA, linear and nonlinear regression supported these conclusions: (1) growth responded strongly to light and N concentrations, (2) light was the dominant factor, (3) interaction between light and N concentration was measurable and (4) environmental factors can be modeled by multiplicative nonlinear functions. Forest Sci. 29:193-203.
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: Pseudotsuga menziesii

Document Type: Journal Article

Affiliations: College of Forest Resources, University of Washington, Seattle, WA 98195

Publication date: 1983-03-01

More about this publication?
  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    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
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