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标题：Application of Hani People's Traditional Knowledge on Forest Management 会议：2013 6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS) 地点：沈阳 时间：2013.11.1-3 doi：10.1109/ICINIS.2013.83 |
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outlier: 金币+10, ★★★★★最佳答案 2014-11-27 13:57:55
outlier: 金币+10, ★★★★★最佳答案 2014-11-27 13:57:55
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Accession number: 20143718147596 Title: Application of Hani people's traditional knowledge on forest management Authors: Yang, Jingbiao1 Email author yangjingbiao@gmail.com; Guo, Luo2 Email author guoluo2010@163.com; Yin, Lun2 Email author lun.yin@gmail.com; Xue, Dayuan3 Email author xuedayuan@hotmail.com Author affiliation: 1 College of Nature Conservation, Beijing Forestry University, Beijing, China 2 College of Life and Environmental Sciences, Minzu University of China, Beijing, China 3 Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing, China Corresponding author: Xue, D. (xuedayuan@hotmail.com) Source title: Proceedings - 2013 6th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2013 Abbreviated source title: Proc. - Int. Conf. Intelligent Networks Intelligent Syst., ICINIS Monograph title: Proceedings - 2013 6th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2013 Issue date: 2013 Publication year: 2013 Pages: 296-299 Article number: 6754732 Language: English ISBN-13: 9781479928088 Document type: Conference article (CA) Conference name: 2013 6th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2013 Conference date: November 1, 2013 - November 3, 2013 Conference location: Shenyang, China Conference code: 107267 Sponsor: et al.; Institute of Electrical and Electronics Engineers (IEEE); Intelligent Networks and Systems Society (INASS); Japanese Neural Network Society; Shenyang Institute of Engineering; WSEAS Japan Chapter on Intelligence and Informatics Publisher: IEEE Computer Society Abstract: Traditional knowledge has an important role to play in the management and utilization of forests in the ethnic minority areas of China. We conducted field survey and analysis on three types of forests which including sacred forests, family contracted forests and collective rehabilitative forests. It indicated significant differences among the 3 types of the forests on community structure, tree species diversity and forest stock. Our research also showed that family contracted forests type has the highest Shannon-Wiener index, followed by sacred forests and collective rehabilitative forests. Nevertheless, sacred forests maintain the highest level of forest stock, followed by family contracted forests moderate and collective rehabilitative forests. Sociological investigation on traditional knowledge of local Hani communities has been combined with ecological field studies in our research. It demonstrated that religious beliefs, festivals & rites, customary laws and other forms of traditional knowledge related to forests are key factors to explain the ecological differences of the above three types of forests. To conclude, reasonable functional division, land tenure policy and different forest management approaches are prerequisites if to achieve sustainable forestry management. The integration of traditional knowledge and forestry reforming may provide an alternative approach in promoting forestry development in local communities. © 2013 IEEE. Number of references: 14 Main heading: Forestry Controlled terms: Biodiversity - Ecology - Intelligent networks - Intelligent systems Uncontrolled terms: Community structures - Customary law - Forestry development - Management and utilization - Sacred forests - Sustainable forestry - Traditional knowledge - Tree species diversity Classification code: 454 Environmental Engineering - 454.3 Ecology and Ecosystems - 461 Bioengineering and Biology - 723.4 Artificial Intelligence - 821.0 Woodlands and Forestry DOI: 10.1109/ICINIS.2013.83 Database: Compendex Compilation and indexing terms, © 2014 Elsevier Inc. |
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nono2009: 金币-100, 屏蔽内容, 违规存档, 违规广告 2015-09-07 19:31:01
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