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首页> 外文期刊>Applied Geography >Application of Clean Development Mechanism to forest plantation projects and rural development in India.
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Application of Clean Development Mechanism to forest plantation projects and rural development in India.

机译:清洁发展机制在印度人工林项目和农村发展中的应用。

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摘要

This paper analyses the prospects for establishing afforestation and reforestation Clean Development Mechanism (CDM) projects in Karnataka State, India. Building on multi-disciplinary fieldwork, the aim is to: (i) establish what type of plantations and forests that would best suit a forest-based project activity, considering global climate benefits and local sustainable development objectives; (ii) identify the parameters that are important for ensuring sustainable development at the local level and (iii) develop a transparent ranking tool for the assessment of possible forest-based project activities. Using equal weights for the ranking parameters and a 30-year time horizon, the ranking shows that plantations managed with the shortest rotation period (5 years) would be most suitable for forest-based project activities. However, the performance of individual forest-based project activities will depend on local conditions, which need to be reflected in the weighting procedure. Sensitivity analysis shows that when weights are varied, other forest types can become the preferred option. Based on a combination of the sensitivity analysis and results from the fieldwork, it can be concluded that successful implementation of forest-based project activities will require local participation and are likely to involve multiple forest products and environmental services demanded by the local community.
机译:本文分析了在印度卡纳塔克邦建立绿化和再造林清洁发展机制(CDM)项目的前景。在多学科实地调查的基础上,目标是:(i)考虑到全球气候效益和地方可持续发展目标,确定哪种类型的人工林和森林最适合基于森林的项目活动; (ii)确定对于确保地方一级的可持续发展至关重要的参数,以及(iii)开发透明的排名工具来评估可能的基于森林的项目活动。使用相同的权重作为排名参数和30年的时间跨度,排名显示,轮伐期最短(5年)的人工林将最适合基于森林的项目活动。但是,基于森林的单个项目活动的执行情况将取决于当地条件,这需要在加权过程中得到反映。敏感性分析表明,当权重发生变化时,其他森林类型将成为首选。综合敏感性分析和实地调查结果,可以得出结论,成功实施以森林为基础的项目活动将需要当地参与,并可能涉及当地社区所需要的多种森林产品和环境服务。

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