| 秦岭火地塘林区红桦林生物量和蓄积量变化研究 |
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| 引用本文： | 马俊,党坤良,王连贺,杨士同.秦岭火地塘林区红桦林生物量和蓄积量变化研究[J].西北林学院学报,2016,31(3):204-210. |
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| 作者姓名： | 马俊 党坤良 王连贺 杨士同 |
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| 作者单位： | （西北农林科技大学 林学院，陕西 杨陵 712100） |
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| 摘 要： | 以秦岭火地塘林区红桦林为研究对象，设置20 m×20 m调查样地48块，获得地形和林分的相关数据。采用树木年轮学方法分析其生物量、蓄积量和生产力的动态变化，使用差异性分析研究不同海拔、坡度、坡向间红桦林生物量、蓄积量和生产力的变化，运用相关性分析和偏相关分析研究林龄和林分密度与红桦林生物量、蓄积量和生产力参数的关系，采用主成分分析和回归分析研究红桦林生物量和蓄积量的主要影响因子并得出回归模型。结果表明，红桦林生物量、蓄积量和生产力随海拔增大而减小，随坡度增大而增大，不同海拔、坡度间生物量和蓄积量差异性显著（p<0.05），生产力差异性不显著（p>0.05），不同坡向间，阳坡红桦林生物量、蓄积量和生产力均显著大于阴坡；相关性分析表明，红桦林生物量、蓄积量和生产力与林分年龄呈显著性正相关关系；偏相关分析表明生物量、蓄积量和生产力与林分密度呈显著性正相关关系；主成分分析表明，特征值>1的3个主成分对林分生物量和蓄积量的方差累积贡献率为79.95%；回归分析表明，海拔、坡度、坡向、林龄和林分密度是影响红桦林生物量和蓄积量的主要因子；估算红桦林生物量的模型为B=0.137fd+10.627sta-2.855sla+0.007g+0.002e-307.311，估算红桦林蓄积量的模型为V=0.125fd+12.308sta-10.174sla-0.320g+0.013e-369.848。
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| 关 键 词： | 火地塘林区 红桦林 生物量 蓄积量 生产力 |
Research on the Changes in Biomass and Volume of Betula albo-sinensis Forest at Huoditang Region |
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| MA Jun,DANG Kun-liang,WANG Lian-he,YANG Shi-tong. Research on the Changes in Biomass and Volume of Betula albo-sinensis Forest at Huoditang Region[J].Journal of Northwest Forestry University,2016,31(3):204-210. |
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| Authors: | MA Jun DANG Kun-liang WANG Lian-he YANG Shi-tong |
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| Institution: | (College of Forestry,Northwest A&F University,Yangling,Shaanxi 712100,China) |
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| Abstract: | Betula albo-sinensis forest occurring at Huoditang region was used as research object.Forty eight plots each with an area of 20 m×20 m were set up to collect the data related to terrain and stand.The dendrochronology and mathematical analysis methods were adopted in the study.The results showed that the volume and productivity decreased as the increase of altitude,increased as the increase of slope.There existed significant difference in biomass and volume between different altitudes and slopes (p<0.05) and the difference was not significant in productivity (p>0.05).The volume and productivity at sunny slope were significantly more than those in shady slope (p<0.05).Correlation analysis showed that significantly positive correlations existed between biomass,volume,productivity and stand age; between biomass,volume,productivity and stand density (p<0.05).Principal component analysis demonstrated that the three principal components of biomass and volume eigenvalues more than 1 cumulative contribution of variance accounted 79.95%.Regression analysis showed that altitude,slope,aspect,stand age,and stand density were the main factors affecting the biomass and volume of B.albo-sinensis forest.The model to estimate the biomass was established as B=0.137fd+10.627sta-2.855sla+0.007g+0.002e-307.311,the model to estimate the volume was V=0.125fd+12.308sta-10.174sla-0.320g+0.013e-369.848. |
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| Keywords: | Huoditang region Betula albo-sinensis forest Betula albo-sinensis forest biomass volume productivity |
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