Skip to main content

Correlated Observer Errors and their Effects on Survey Estimates of Needle-Leaf Loss

Buy Article:

$29.50 plus tax (Refund Policy)


In Europe, crown transparency is one of the most important variables assessed for monitoring forest conditions. Though there are very strict international guidelines and intensive training programs for the evaluation of needle-leaf loss, there still exists a subjective component in the evaluation. This subjective component in the observation process can lead to a nonsampling error that can greatly reduce the precision of estimates of average needle-leaf loss. In this paper, methods for quantifying the potential loss in precision are presented and applied to data from the Swiss National Forest Health Monitoring Program. For. Sci. 41(4):758-776.

Document Type: Journal Article

Affiliations: Leader of Inventory Research Group, Swiss Federal Institute of Forestry, Snow and Landscape Research, CH-8903 Birmensdorf, Switzerland

Publication date: November 1, 1995

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.

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

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
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