The Chapman-Richards Generalization of Von Bertalanffy's Growth Model for Basal Area Growth and Yield in Even - Aged Stands

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Abstract:

The Chapman-Richards generalization of yon Bertalanffy's growth model is discussed as a basis for the development of practically useful theory of basal area growth and yield of even-aged coniferous monocultures. The origin and generalization of von Bertalanffy's growth model is explored and its applicability to tree and stand growth demonstrated by means of stem-analyzed spruce (Picea abies (L.) Karst.) tree data and experimental plots in slash pine (Pinus elliottii Engelm.) plantations of different initial stocking densities. Further analyses led to potentially useful generalizations concerning basal area growth and yield of even-aged stands. Hypotheses are developed, in terms of the parameters of the Chapman-Richards growth model, for unthinned even-aged stands. These, in turn, provide a basis for extension to thinned even-aged stands. Briefly, with estimates of the model parameters for a given species and site class, and with the growth-rate parameter related to initial stocking in unthinned stands, the basal area development of stands of different initial stocking and subsequent thinning regimes can be predicted. Forest Sci. 19:2-22.

Keywords: Growth models; Picea abies; Pinus elliottii; basal area increment; density; stand growth; thinning; yield estimates

Document Type: Journal Article

Affiliations: Associate Professor of Forest Biometrics, Washington State University (Pullman 99163), The University of Washington

Publication date: March 1, 1973

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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.
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