文献类型：会议论文

英文题名：Studies on Interpretive Structural Model for Forest Ecosystem Management Decision-Making

作者：Liu, Suqing[1];Gao, Xiumei[1];Zen, Qunying[1];Zhou, Yuanman[1];Huang, Yuequn[1];Han, Weidong[1];Li, Linfeng[1];Li, Jiping[2];Pu, Yingshan[1]

机构：[1]Guangdong Ocean Univ, Fac Agr Sci, Dept Forestry Sci, Zhanjiang 524088, Guangdong, Peoples R China;[2]Cent South Univ Forest Sci & Technol, Changsha 310004, Hunan, Peoples R China

会议论文集：1st International Conference on Complex Sciences: Theory and Applications (Complex 2009)

会议日期：FEB 23-25, 2009

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：Forest ecosystem management; Interpretive structural model; Factors; Decision-making

外文摘要：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.