Compatible and Time-Additive Change Component Estimators for Horizontal-Point-Sampled Data
Abstract:New definitions for the components of change are proposed and estimators for horizontal-point-sampled data are developed. The new definitions are more closely tied to the progression over time of growth, eligibility, cut, and mortality than the commonly employed definitions. This is made possible through the use of continuous time, rather than only initial and final measurement times. The estimators are based on the notion that the elemental sample unit is the sample point. The associated trees are simply observational units. A tree is considered to be associated with a point when a ring, centered on the tree, with area proportional to the tree basal area, covers the sample point. The estimators are shown to be unbiased, compatible with net change, and additive over time. This is the first time-additive set of change component estimators. Time-additivity may be of particular importance for long-term monitoring, growth and yield model development, and acceptance and understanding by the general public. The theory holds for both fixed-radius-plot and horizontal-point-sampling due to the duality between these procedures. For. Sci. 41(4):796-822.
Document Type: Journal Article
Affiliations: Department of Forest Science, Texas A&M University, College Station, TX 77843-2135
Publication date: November 1, 1995
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- 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.
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