Comparing and Combining Stem Analysis and Permanent Sample Plot Data in Site Index Models
Author: García, Oscar
Source: Forest Science, Volume 51, Number 4, August 2005 , pp. 277-283(7)
Publisher: Society of American Foresters
Abstract:Most site index models are built either from repeated measurements on permanent sample plots or by using data obtained by stem analysis. Sometimes both types of data are available. It is then of interest to test them for consistent height-age trends, and to estimate model parameters using all the data. Efficient procedures should take into account the difference in error patterns between the two data sources. A stochastic differential equation model is proposed in which trend and error parameters can take either different or common values for various data groups. All parameters are simultaneously estimated by maximum-likelihood, and computed likelihoods and likelihood-ratio tests can be used for comparing model variants and for hypothesis testing. The methods are applied to Pinus pinaster plantations in northern Spain. FOR. SCI. 51(4):277–283.
Keywords: Height growth; Pinus pinaster; Richards; Spain; differential equations; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources
Document Type: Regular Article
Affiliations: University of Northern British Columbia 3333 University Way Prince George British Columbia Canada V2N 4Z9 Phone: (250) 960-5004;, Fax: 960-5539, Email: email@example.com
Publication date: August 2005
- 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.
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