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河北省青龙满族自治县2005-2050年森林植被碳储量及碳密度估算 被引量:4

Estimation of Storage and Density of Carbon in Forest Vegetation in Qinglong Manchu Autonomous County of Hebei Province from 2005 to 2050
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摘要 基于河北省青龙满族自治县第七次森林资源清查数据,运用生物量转换因子法和平均生物量法,结合不同树种的分子式含碳率,估算了2005年青龙满族自治县森林植被碳储量和碳密度;利用回归分析法拟合青龙满族自治县林龄与碳密度之间的曲线关系。以2005年为基准年,假定林分面积保持不变,林木保持生长,推算2020年、2030年、2050年青龙满族自治县林分的碳储量和碳密度。研究结果表明:2005年青龙满族自治县森林植被碳储量为255.5万t,平均碳密度为10.73t/hm2,植被碳储量和碳密度大体呈现"北部和东南部山区较高,中部河谷丘陵地带低"的空间格局,植被碳密度国有林场高于其他乡镇;油松、灌木、柞树和经济林是青龙满族自治县森林植被碳储量的主体;2020年、2030年、2050年青龙满族自治县林分的碳储量分别为181.57万t,256.37万t,398.25万t,林分碳储量保持稳定增长的趋势。 Based on the 7th forest resource inventory data of Qinglong Manchu Autonomous County in 2005, the storage and density of carbon were calculated using the biomass expansion factor continuous function method and average-biomass computing method, the carbon content in the molecular formulas of various trees. Using the regression analysis method fitted the curve equation between carbon density and age, the carbon storage and density in 2020,2030 and 2050 were estimated with the curve equation by setting 2005 as the base year, and assuming that the area of forest stand remained stable and tress kept on growing, not considering the influence of reforestation, logging, death, and so on. As the estimation of forest vegetation carbon storage and carbon density, the estimated results had a certain error, but could reflect the general situation of the carbon storage. Results are as follows: The carbon storage of forest vegetation in Qinglong Manchu Autonomous County was 255. 5 X 104 t, the average carbon density was 10. 73 t/bin2. The forest vegetation carbon storage and density were higher in the northern and southeastern mountainous areas were low in the central river valley and hills areas with respect to spatial distribution. Forest vegetation in state owned forest farms had relatively higher carbon density. The main body of forest vegetation carbon storage in Qinglong Manchu Autonomous County is Pinus tabulaeformis, shrubbery,Quercus mongolica, economic forest. The carbon storage was 1. 815 7 × 106 t, 2. 563 7 × 106 t and 3. 982 5 × 10G t in 2020,2030 and 2050, respectively, in Qinglong Manchu Autonomous County.
出处 《水土保持研究》 CSCD 北大核心 2015年第3期264-268,275,共6页 Research of Soil and Water Conservation
基金 秦皇岛市科技支撑项目"基于森林资源清查数据和GIS的秦皇岛生态林碳储量及其价值评价研究"(201401A354) "秦皇岛滨海森林景观资源分析及价值评估"(201401A387)
关键词 森林植被 碳储量 碳密度 回归分析 青龙满族自治县 forest vegetation carbon storage carbon density regression analysis Qinglong Manchu Autonomous County
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