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Forest-level analyses of uneven-aged hardwood forests

Yang, F., Kant, S.
Canadian journal of forest research = 2008 v.38 no.2 pp. 376-393
estimation, mathematical models, decision support systems, hardwood, equations, costs and returns, regression analysis, forest stands, growth models, uneven-aged management, forest growth, uneven-aged stands, stand composition, decision making, Ontario
The matrix growth models of maple-beech and maple stands in the uneven-aged mixed species hardwood forests in the Algonquin region of Ontario are specified as a system of simultaneous growth equations with restrictions on the sum of transition probabilities. The specified system of growth equations is estimated using the seemingly unrelated regression technique. The estimated matrix growth models are used to predict the growth dynamics of stands. Linear and nonlinear programming models are used to seek optimal management regimes and to analyze the trade-offs between financial returns and structural diversity at the forest level as well as at the stand level. The optimal harvesting schedules obtained at the forest level without ecological (residual basal area or structural diversity) constraints are identical with those obtained at the stand level; however, for higher structural diversity at the forest level, the optimal harvesting schedules based on forest-level decision making are found to be different from those based on stand-level decision making.