A Method for Determining the Precision of Site Index Estimates Made From Site Index Prediction Functions
Errors in estimating even-aged stand site indexes from site index prediction functions come from three sources: (1) the prediction of individual sample tree site indexes from the site index/height regressions, (2) the variation among sample tree heights within even-aged stands, and (3) measurement error. A method is presented for quantifying and combining the first two of these sources of error into site index confidence intervals, and the effect of measurement error is demonstrated with simulated error data. Confidence intervals are presented for white, black, and scarlet oak stands in southeastern Missouri for 1- to 5-, 10-, and 20-tree samples for tree ages 0 to 80. The width of the confidence intervals decreases with increasing (1) numbers of sample trees, (2) proximity to the index age, and (3) precision of the tree measurements. Forest Sci. 24:289-296.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Document Type: Journal Article
Affiliations: Research Foresters, North Central Forest Experiment Station, Forest Service, USDA, Columbia, Missouri
Publication date: 1978-06-01
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
- Ingenta Connect is not responsible for the content or availability of external websites