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Modeling Dominant Height Growth: Eucalyptus Plantations in Portugal

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Abstract:

Difference forms of the well-known Chapman-Richards and Lundqvist-Korf biological growth models are derived for use in modeling dominant height growth using data from remeasured permanent plots. The performance of these models is compared with the performance of the McDill-Amateis difference model for describing dominant height growth of eucalyptus plantations in Portugal. The final model is a difference form of the Chapman-Richards equation with the m shape parameter constrained by initial stand conditions. The model is regional in that there are different estimated parameter values for highly productive sites in the coastal region of Portugal compared to lower productivity sites in the interior. The effect of using overlapping or nonoverlapping measurement intervals in the estimation process is examined with independent data; there appears to be little difference in the predictive ability of the resulting models. For. Sci. 44(1):37-46.

Keywords: Eucalyptus; dominant height; nonlinear difference equations; precision; validation

Document Type: Journal Article

Affiliations: Associate Professor, Instituto Superior Técnico, Universidade Técnica de Lisboa, Av. Rovisco Pais, 1000 Lisboa, Portugal. Phone: (351-1) 841-8305;, Fax: (351-1) 840-9884

Publication date: 1998-02-01

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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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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