Skip to main content

Compatibility of Stand Basal Area Predictions Based on Forecast Combination

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

Stand growth and yield models include whole-stand models, individual-tree models, and diameter-distribution models. Based on the growth data of Chinese pine (Pinus tabulaeformis Carr.) in Beijing, forecast combination was used to adjust predicted stand basal areas from these three types of models. The forecast combination method combines information and disperses errors from different models to improve forecast performance. In this study, weights of the three model estimates used in the forecast combination estimator were determined by the optimal weight method. Results showed that the forecast combination method provided overall better predictions of stand basal area than the three types of models. It also improved the compatibility of stand basal area growth predicted from models of different resolutions and provided a method for integration of stand basal area.

Keywords: Pinus tabulaeformis; compatibility; forecast combination; optimal weight; stand basal area model

Document Type: Research Article

Publication date: 2010-12-01

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
X
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