Skip to main content

Notes: Selecting Foliage and Growth Variables for Relating Insect Defoliation to Coniferous Tree Growth

Buy Article:

$29.50 plus tax (Refund Policy)


Correlations between estimators of foliage levels and basal area growth were compared for use in regression equations relating western spruce budworm defoliation to growth on 192 Douglas-fir and grand fir trees. Foliage terms that included one- to four-year-old foliage had the highest correlations, and adjusting foliage estimates to account for decreased foliage production improved correlations. Calibrations from a stand growth model predicting nondefoliated growth yielded the most precise estimates, as did adjusting growth estimates for annual weather impacts using a model including soil and weather factors. For. Sci. 34(1):236-242.

Keywords: Abies grandis; Pseudotsuga menziesii; Western spruce budworm; defoliation

Document Type: Miscellaneous

Affiliations: Assistant Professor, School of Forestry and Wildlife Resources, Virginia Polytechnic Institute and State University, Blacksburg 24061

Publication date: 1988-03-01

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 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