Simulation of Forest Tree Mortality
Several methods (discriminant analysis, Probit analysis, Logit analysis) were compared for the prediction of individual overstory tree mortality in northern hardwood stands in Wisconsin. A generalized form of the logistic equation provided the greatest discriminating power for predicting live and dead trees. Independent variables were tree diameter and diameter increment, competition index, and length of growth period. Forest Sci. 22:438-444.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
Document Type: Journal Article
Affiliations: Research Forester, Intermountain Forest and Range Experiment Station, USDA Forest Service, Moscow, Idaho
Publication date: 1976-12-01
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.
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