Skip to main content

Yield-Based Measures of Northern Hardwood Site Quality and Their Correlation with Soil-Site Factors

Buy Article:

$21.50 plus tax (Refund Policy)

The Chapman-Richards function was fit to yield data from northern hardwood stands on sites of different quality. The upper asymptote and maximum growth rate of each of the fitted curves were used as measures of the quality of each site, and were found to be significantly correlated with the concentrations of exchangeable calcium and magnesium on the sites and with aspect. No significant correlation was found between site index measurements and any of the 13 soil-site factors in this study. This was attributed to the difficulty of obtaining valid site index measurements in these stands. It was concluded that measures of site quality derived from fitted yield curves are practical alternatives to site index, provided sufficient yield data are available to obtain meaningful curves. Forest Sci. 31:209-219.
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: Site index; cluster analysis; growth model; nonlinear regression

Document Type: Journal Article

Affiliations: Associate Professor, Department of Soil Science and Forestry, University of Wisconsin-Madison, Madison, WI 53706

Publication date: 1985-03-01

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