Variability in growth of trees in uneven-aged stands displays the need for optimizing diversified harvest diameters

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• 作者：Joerg Roessiger ; Andrej Ficko ; Christian Clasen…
• 关键词：Bio ; economic modeling ; Simultaneous optimization ; Close ; to ; nature forest management ; Continuous ; cover forestry ; Ecological dynamics ; Matrix transition model
• 刊名：European Journal of Forest Research
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：135
• 期：2
• 页码：283-295
• 全文大小：717 KB
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• 作者单位：Joerg Roessiger (1) (2) (3)
  Andrej Ficko (2)
  Christian Clasen (1)
  Verena C. Griess (1) (4)
  Thomas Knoke (1)
  
  1. Institute of Forest Management, Department of Ecology and Ecosystem Management, Center of Life and Food Sciences Weihenstephan, Technische Universität München, Hans-Carl-von-Carlowitz Platz 2, 85354, Freising, Germany
  2. Department of Forestry and Renewable Forest Resources, Biotechnical Faculty, University of Ljubljana, Vecna pot 83, 1000, Ljubljana, Slovenia
  3. National Forest Center - Forest Research Institute Zvolen, T. G. Masaryka 22, 96092, Zvolen, Slovakia
  4. Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
  
• 刊物主题：Forestry; Plant Sciences; Plant Ecology;
• 出版者：Springer Berlin Heidelberg
• ISSN：1612-4677

文摘

This study presents economically optimal management of uneven-aged mixed mountain forests that takes into account tree growth variability. We divided 9846 silver fir (Abies alba), beech (Fagus sylvatica), and spruce (Picea abies) trees measured on 898 forest inventory plots in the Snežnik and Leskova dolina management units (4905 ha, Dinaric mountains, Slovenia) into three growth classes (slow-, medium-, and fast-growing trees) to simulate optimal forest management over a period of 100 years with respect to changing tree growth, stand density, diameter distribution, and tree species composition. We developed a density-dependent and stage and growth-structured matrix transition model which—simultaneous to the long-term stand dynamics projection—scheduled optimal harvesting to maximize the net present value using a nonlinear approach. The ecology of tree species was considered by using tree species-specific and stand-density and diameter-dependent logistic functions for ingrowth, transition, and mortality. The model projected a shift in tree species composition from fir-dominated to beech-dominated forests within 100 years. A change from harvesting slow- and fast-growing trees as if they all had medium growth to growth-sensitive harvesting increased the net revenue and maintained the uneven-aged stand structure. Optimal harvest diameters varied among growth classes, time periods, and tree species according to the economic maturity of individual trees and ranged from 12 (pre-commercial thinning) to 72 cm (target diameter). The simulation highlights the potential of improved bio-economic models for increasing yield from uneven-aged forests and scheduling optimal management regimes with multiple objectives.