Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1

Research Article

Studies on Interpretive Structural Model for Forest Ecosystem Management Decision-Making

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  • @INPROCEEDINGS{10.1007/978-3-642-02466-5_94,
        author={Suqing Liu and Xiumei Gao and Qunying Zen and Yuanman Zhou and Yuequn Huang and Weidong Han and Linfeng Li and Jiping Li and Yingshan Pu},
        title={Studies on Interpretive Structural Model for Forest Ecosystem Management Decision-Making},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1},
        proceedings_a={COMPLEX PART 1},
        year={2012},
        month={5},
        keywords={Forest ecosystem management Interpretive structural model Factors Decision-making},
        doi={10.1007/978-3-642-02466-5_94}
    }
    
  • Suqing Liu
    Xiumei Gao
    Qunying Zen
    Yuanman Zhou
    Yuequn Huang
    Weidong Han
    Linfeng Li
    Jiping Li
    Yingshan Pu
    Year: 2012
    Studies on Interpretive Structural Model for Forest Ecosystem Management Decision-Making
    COMPLEX PART 1
    Springer
    DOI: 10.1007/978-3-642-02466-5_94
Suqing Liu1,*, Xiumei Gao1, Qunying Zen1, Yuanman Zhou1, Yuequn Huang1, Weidong Han1, Linfeng Li1, Jiping Li2, Yingshan Pu1,*
  • 1: Guangdong Ocean University
  • 2: Central South University of Forest Science and Technology
*Contact email: liusuqing2001@yahoo.com.cn, Yshp6666@yahoo.com.cn

Abstract

Characterized by their openness, complexity and large scale, forest ecosystems interweave themselves with social system, economic system and other natural ecosystems, thus complicating both their researches and management decision-making. According to the theories of sustainable development, hierarchy-competence levels, cybernetics and feedback, 25 factors have been chosen from human society, economy and nature that affect forest ecosystem management so that they are systematically analyzed via developing an interpretive structural model (ISM) to reveal their relationships and positions in the forest ecosystem management. The ISM consists of 7 layers with the 3 objectives for ecosystem management being the top layer (the seventh layer). The ratio between agricultural production value and industrial production value as the bases of management decision-making in forest ecosystems becomes the first layer at the bottom because it has great impacts on the values of society and the development trends of forestry, while the factors of climatic environments, intensive management extent, management measures, input-output ratio as well as landscape and productivity are arranged from the second to sixth layers respectively.