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林业科学 ›› 2009, Vol. 12 ›› Issue (11): 83-89.doi: 10.11707/j.1001-7488.20091114

• 论文 • 上一篇    下一篇

风险状态下混交林最优经营决策

鲁法典1 Peter Lohmander2   

  1. 1.山东农业大学林学院 泰安271018; 2.瑞典农业科技大学林业经济系 Umea 90183
  • 收稿日期:2009-09-03 修回日期:1900-01-01 出版日期:2009-11-25 发布日期:2009-11-25
  • 基金资助:
     

This research has been partly funded by Heureka at SUAS.Optimal Management Decisions for Mixed Forests under Risk

Lu Fadian1, Peter Lohmander2   

  1. 1.College of Forestry, Shandong Agricultural University Tai’an 271018; 2.Dept. of Forest Economics, Swedish University of Agricultural Sciences Umea 90183
  • Received:2009-09-03 Revised:1900-01-01 Online:2009-11-25 Published:2009-11-25
  • Supported by:
     

摘要:

不同树种对来自不同种类的真菌、昆虫和脊椎动物的伤害反应敏感度不同,而不同树种生产的林产品价格也随时间而不断变化。混交林为后继的适应性决策提供了宝贵的选择。本文建立一个基于麋鹿危害和价格风险的适应性优化模型,用于确定挪威云杉和欧洲赤松混交林的初始混交比例以便达到预测净现值的最大化。结果表明, 即使在不考虑风险的情况下,由于混交效益,混交林也比纯欧洲赤松林优越。但考虑麋鹿危害时,混交林的优势将提高5%。如果加入瑞典森林法规定的最低林木株数要求,这种优势将提高24%。当考虑价格风险和选择性间伐时,混交林的优势进一步提高6%。

关键词: 森林经营决策, 不确定性, 风险, 适应性优化

Abstract:

Different tree species have different sensitivities to damages from different kinds of fungi, insects, and vertebrates. Prices of forest products from different tree species also change over time. Mixed forests provide valuable options for sequential adaptive management. An adaptive optimization model under the risk of moose damage and prices variation has been developed to determine the initial proportion of Norway Spruce and Scots Pine in a mixed-species stand that would maximize the expected net present value. The results showed that the mixed stand was superior to the pure pine stand even no risk was considered, due to the biological mixture effect. However, when the risk of moose damage was considered, the superiority of the mixed stand was increased by 5% and 24% with or without incorporating the minimum stem number requirement of the Forest Act, respectively. The superiority of the mixed stand over a pure pine stand could be further increased by 6% when the price risk and selective thinning were included, compared to that the price was fixed

Key words: forest management decisions, uncertainty, risk, adaptive optimization

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