林分生长模式在混交林经营优化中的比较

IF 1.8 3区 农林科学 Q2 FORESTRY
Nico Österberg, Vesa-Pekka Parkatti, O. Tahvonen
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引用次数: 0

摘要

摘要研究不同林分生长模式对北方混交林经济最优经营的影响。我们的规模结构经济生态模型包括采伐时间、采伐强度、轮作周期的优化,以及轮作林与连续覆盖林的选择。本文系统比较了单树种和混合树种林分的三种统计-经验林分生长模型的经济最优解。在1%的利率条件下,连续覆盖和轮作林业的最优选择取决于应用的生长模式。然而,在3%的利率下,最优的经营制度始终是连续覆盖森林。最优解决方案的细节高度依赖于增长模型。在利率为1%的情况下,进行密集的近距离采伐可能是最佳选择,从而通过自然再生导致优势物种的变化。然而,自然再生水平在不同的生长模式之间差异很大。一个物种混合物的经济优势不能由过度屈服的差异来决定。与单一栽培相比,混合树种林具有更高的最大可持续产量、裸地价值和平均净收入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing stand growth models in optimizing mixed-species forest management
ABSTRACT We study the effect of forest stand growth models on the economically optimal management of boreal mixed-species forests. Our size-structured economic–ecological model includes the optimization of harvest timing, harvesting intensities, rotation periods, and the choice between rotation forestry and continuous cover forestry. We carry out a systemic comparison of economically optimal solutions obtained with three statistical–empirical stand growth models for both single- and mixed-species stands with up to four tree species. Given a 1% interest rate, the optimal choice between continuous cover and rotation forestry depends on the applied growth model. However, under a 3% interest rate, the optimal management regime is always continuous cover forestry. The optimal solution details are highly dependent on the growth models. With a 1% interest rate, it may become optimal to apply intensive close-to-clearcut harvesting that results in a dominant species change via natural regeneration. However, the level of natural regeneration varies strongly between the growth models. The economic superiority of a species mixture cannot be determined from overyielding differences. Mixed-species stands have higher maximum sustainable yields, bare land values, and average net revenues compared with monocultures.
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来源期刊
CiteScore
3.00
自引率
5.60%
发文量
26
审稿时长
3.3 months
期刊介绍: The Scandinavian Journal of Forest Research is a leading international research journal with a focus on forests and forestry in boreal and temperate regions worldwide.
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