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湖北大老岭自然保护区国有林植被碳储量评估分析

Assessment and Analysis of Carbon Storage of State-Owned Forest Vegetation in Dalaoling Nature Reserve of Hubei Province
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摘要 森林蓄积量、森林生物量和森林碳储量是衡量森林生态系统的重要指标,通过碳储量来反映森林的碳汇能力以进一步研究森林植被的生产力。根据湖北大老岭国家级自然保护区国有林2019年森林资源二类调查数据,运用不同树种类型蓄积量和生物量转换方程参数,对不同森林起源、不同林分类型、不同龄组、不同地域分区的植被碳储量及碳密度进行估算,发现大老岭保护区国有林不同林分类型碳密度高于湖北省同类型森林植被碳密度平均值。分析发现国有林不同龄组的碳储量差异显著,有较高的林分改造空间,建议通过加强森林抚育进一步提升碳汇能力。 Forests are the largest carbon pool in terrestrial ecosystems,which can absorb carbon dioxide from the atmosphere and fix it in vegetation or soil through forest plants,thereby reducing the concentration of carbon dioxide in the atmosphere.Based on the 2019 Forest Resources Second Class Survey data of state-owned forests in the Dalaoling National Nature Reserve in Hubei Province(hereinafter referred to as the Dalaoling Conservation Area),using different tree species and biomass conversion equation parameters,the carbon storage of state-owned forest vegetation,different forest types,different age groups,different regional divisions,and the carbon density of vegetation in the same region were estimated,analyzed and compared.It was found that the carbon density of state-owned forests in the Dalaoling Conservation Area was also much higher than the average of forest tree layers in Hubei Province and similar regions in China.Analysis shows that there are significant differences in carbon storage among different age groups of state-owned forests,and there is a high space for forest stand transformation.It is recommended to further enhance carbon sequestration capacity by strengthening forest nurturing.
作者 冯敬华 丁峰 余长蓉 张永翠 付彦蓉 Feng Jinghua;Ding Feng;Yu Changrong;Zhang Yongcui;Fu Yanrong(Yichang Three Gorges Dalaoling Nature Reserve Administration,Yichang 443000,Hubei,China;College of Biological and Pharmaceutical Sciences,China Three Gorges University,Yichang 443002,Hubei,China)
出处 《绿色科技》 2024年第8期96-100,109,共6页 Journal of Green Science and Technology
关键词 大老岭自然保护区 森林蓄积量森林生物量 森林碳储量 碳密度 Dalaoling National Nature Reserve forest stock forest biomass forest carbon storage carbon density
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