Contrasts between biologically-based process models and management- oriented growth and yield models. Proceedings of a conference, Wageningen, the Netherlands, September 1991

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Abstract

This special issue presents 24 papers, divided into three sections. The first section (biologically-based process models) contains 11 contributions: developing process-oriented growth/yield models; process-based growth model for the red pine; pipe-model theory of stem-profile development; modelling daily growth/nitrogen turnover; modelling stocks/flows of carbon and nitrogen in a eucalypt stand; vegetation model for the miombo woodlands of Zambezian Africa; Populus canopy structure model; light penetration through complex forest canopies; simulation of multi-species tropical forest dynamics; fitting process-based models with stand growth data; an uncertainty analysis of the growth model FORGO. The competition models section (five papers) covers: classification of tree life-history strategies using the Grime model; crown rise modelling in even-aged stands of Sitka spruce/loblolly pine; evaluation of a 3-D crown model for predicting growth; intraspecific competition in eucalypt plantations; competition for light/water in even-aged common beech. The final section (management-oriented growth models) presents the following eight contributions: linking individual-tree and stand-level growth models; adaptable stand dynamics model integrating site-specific growth; yield prediction model for pure/mixed stands; evaluation of forest stress factors; predicting effects of defoliation on spruce-fir stand development; sustainable timber harvesting; HOPSY - model to support strategic decision making in forest resource management; and the development of growth models for Pinus radiata in New Zealand. -S.R.Harris

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Mohren, G. M. J., Bartelink, H. H., & Jansen, J. J. (1994). Contrasts between biologically-based process models and management- oriented growth and yield models. Proceedings of a conference, Wageningen, the Netherlands, September 1991. Forest Ecology & Management, 69(1–3).

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