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基于生物量的森林生态功能修正系数的应用——以辽宁省退耕还林工程为例 被引量:14

Application of forest ecological function correction coefficient based on biomass:a case study of conversion of cropland to forest in Liaoning Province
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摘要 为了对同一生态单元同一目标林分类型中没有生态监测数据的林分进行准确的生态服务功能评估,以辽宁省退耕还林工程为例,基于生物量的森林生态功能修正系数对其生态服务功能进行评估。结果表明:2013年,辽宁省退耕还林工程生态系统服务功能总价值量为491.94亿元,在涵养水源、保育土壤、固碳释氧、林木积累营养物质、净化大气环境和生物多样性保护6个生态系统服务功能中,涵养水源和生物多样性保护的生态系统服务功能价值量占退耕还林生态系统服务功能总价值量的比例最大,分别为26.84%和26.30%。研究结果可为《森林生态系统服务功能评估规范》的修订和区域尺度森林生态系统服务功能的精确核算提供参考。 In order to accurately carry out the ecological service evaluation of the other forests of the same forest types in the same ecological unit that lacked ecological monitoring data,we propose the forest ecological function correction coefficient based on the biomass in this paper in order to adjust the ecological monitoring data for better application in the rest of the sites of the same forest types in the same ecological unit through the conversion of biomass. As an example,the ecological service of the project of conversion of cropland to forest in Liaoning Province was evaluated. The evaluation showed that the total ecological service value of the project of conversion of cropland to forest in Liaoning Province was 49. 194 billion yuan in 2013. In six ecosystem service evaluation indicators such as water conservation,soil conservation,carbon fixation and oxygen releasing,nutrient accumulation,atmosphere purification,and biodiversity protection,the proportions of the value of water conservation and biodiversity protection to the total value were the largest,26. 84% and 26. 30%,respectively. Our study would provide reference for the revision of Specifications for assessment of forest ecosystem services and the accurate evaluation of the forest ecosystem service at regional scale.
出处 《中国水土保持科学》 CSCD 北大核心 2015年第3期111-116,共6页 Science of Soil and Water Conservation
基金 林业公益性行业科研专项"森林生态服务功能分布式定位观测与模型模拟"(201204101)
关键词 森林生态功能修正系数 评估 退耕还林 辽宁 forest ecological function correction coefficient evaluation conversion of cropland to forest Liaoning Province
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