浙江省国有林场的生态旅游资源评价研究 |
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引用本文: | 蒋仲龙,徐晓云,刘海英,王秀云,林松,宋绪忠,张都海,陈秀娟,高美蓉,杨华. 浙江省国有林场的生态旅游资源评价研究[J]. 河北林果研究, 2016, 0(3): 308-313. DOI: 10.13320/j.cnki.hjfor.2016.0060 |
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作者姓名: | 蒋仲龙 徐晓云 刘海英 王秀云 林松 宋绪忠 张都海 陈秀娟 高美蓉 杨华 |
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作者单位: | 1. 浙江省国有林场和森林资源保护总站,浙江杭州,310020;2. 浙江省林业科学研究院,浙江杭州,310023 |
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基金项目: | 浙江省林业厅科研项目“国有林场改革研究”(L Y2015012)。 |
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摘 要: | 为了给浙江省国有林场深化改革、生态文明建设及生态旅游发展提供依据,运用层次分析法,对浙江省国有林场生态旅游资源进行分析,探讨生态旅游发展优势,设计并形成了国有林场生态旅游资源分类及评价指标体系,最终对浙江省100家国有林场生态旅游资源进行了质量评价。研究结果显示,浙江省有63%的国有林场生态旅游资源质量评价为较好及以上,其中森林资源状况普遍较好且差异小,而景观资源及配套差异较明显,对生态旅游资源质量影响较大;可通过加强国有林场景观管理、森林公园建设支持力度以及加大国有林场生态文化建设等途径来提升国有林场生态旅游资源质量。
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关 键 词: | 国有林场 生态旅游资源 质量评价 层次分析法 |
Study on evaluation of eco-tourism resources of state-owned forest farms in Zhejiang province |
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Abstract: | In order to provide the basis for the reform ,the construction of ecological civiliza‐tion and ecological tourism development of state‐ow ned forest farms in Zhejiang province , the analysis was made on the ecological tourism resources in this paper to explore the advan‐tages of ecological tourism development .Using the analytic hierarchy process analysis meth‐od ,the classification and evaluation index systems of state‐ow ned forest ecological tourism resources were designed and formed .Eventually ,the quality evaluation was carried out for the ecological tourism resources of 100 state‐owned forest farms in Zhejiang province .The results showed that 63% of state‐owned forest ecological tourism resources conditions were good .There was little difference in the status of forest resources ,while the landscape re‐sources and supporting facilities were obviously different ,which had a great impact on the quality of ecological tourism resources . To enhance the quality of ecological tourism re‐sources of state‐ow ned forest farms , the management of the state‐ow ned forest landscape need to be strengthened and the ecological culture construction of state‐owned forest farms need to be increased . |
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Keywords: | state-ow ned forest farms ecological tourism resources quality evaluation ana-lytic hierarchy process |
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