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A density-dependent matrix model and its applications in optimizing harvest schemes

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Abstract

Based on temporal data collected from 36 re-measured plots, transition probabilities of trees from a diameter class to a higher class were analyzed for the broad-leaved-Korean pine forest in the Changbai Mountains. It was found that the transition probabilities were related not only to diameter size but also to the total basal area of trees with the diameter class. This paper demonstrates the development of a density-dependent matrix model, DM2, and a series of simulations with it for forest stands with different conditions under different harvest schemes. After validations with independent field data, this model proved a suitable tool for optimization analysis of harvest schemes on computers. The optimum harvest scheme(s) can be determined by referring to stand growth, total timbers harvested, and size diversity changes over time. Three user-friendly interfaces were built with a forest management decision support system FORESTAR® for easy operations of DM2 by forest managers. This paper also summarizes the advantages and disadvantages of DM2.

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Authors and Affiliations

  1. Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA

    Guofan Shao

  2. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China

    Guofan Shao, Dai Limin & Li Yingshan

  3. Inner Mongolia Agriculture University, Hohhot, 010019, China

    Wang Fei

  4. Academy of Forest Inventory and Planning, State Forestry Administration, Beijing, 100714, China

    Bai Jianwei

Authors
  1. Guofan Shao
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  2. Wang Fei
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  3. Dai Limin
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  4. Bai Jianwei
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  5. Li Yingshan
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Correspondence to Guofan Shao.

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Shao, G., Wang, F., Dai, L. et al. A density-dependent matrix model and its applications in optimizing harvest schemes. SCI CHINA SER E 49 (Suppl 1), 108–117 (2006). https://doi.org/10.1007/s11431-006-8112-2

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  • DOI: https://doi.org/10.1007/s11431-006-8112-2

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