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机构地区:[1]国家测绘地理信息局发展研究中心,北京100830 [2]西南林业大学,昆明650224 [3]中国科学院地理科学与资源研究所,北京100101
出 处:《林业资源管理》2014年第2期73-82,149,共11页Forest Resources Management
基 金:国家自然科学基金项目(41371019;41001366)
摘 要:以全国森林资源清查的样方数据为数据源,分别拟合在我国分布范围最广、面积最大的五类主要树种的林分生长曲线。结果表明:栎类(Quercus)最适用的理论生长方程是Richards,落叶松(Larix gmellini)是Logistic,马尾松(Pinus massoniana)、杉木(Cunninghamia lanceolata)和桦木(Betulaceae)是Richards和Korf;高海拔的栎类、杉木、桦木林分蓄积明显高于低海拔,高海拔的马尾松林分蓄积明显低于低海拔,而落叶松林分蓄积生长的海拔差异不显著;华中地区的栎类、西南地区的马尾松、华南地区的杉木、西北地区的桦木、东北地区的落叶松,林分平均蓄积和蓄积生长率高于其它地区;栎类、马尾松、落叶松天然林的林分平均蓄积和蓄积生长率都比人工林高,而人工杉木林蓄积生长高于天然林。本研究结果可应用于更精确地估算我国不同区域现存森林的碳蓄积量和预测未来森林的固碳潜力。Stand volume growth was different in different regions due to the variations of tree species, stand condition, forest age, density and forest management etc. Single wood growth models and growth and yield projection models focused on a special plot or small area, and were limited in application of spatial scale extension due to tree species composition, stand quality and competition. Stand volumes of different tree species and stand ages in different regions were the key factor in forest carbon estimation. This paper simulated the stand volume growth curves of five primary forests in China, based on the sampling plot data of national forest resource inventory. The results showed that the best applicable theoretical growth equation for Oak is Richards, Logistic for Larix, Richards and Korf for Masson pine, Birch and Chinese fir; the stand volume of Birch, Oak and Chinese fir at high latitude showed higher value than lower altitude obviously ; the stand volume of Masson pine at lower altitude showed higher value ; and there was not significant difference with elevation for Larix. The Oak in central China, Masson pine in southwestern region, Chinese fir in Southern China, Birch in northwestern region and Larix in northeastern region showed higher stand volume than other regions. Furthermore, average stand volume and volume growth rate of natural forest of Oak, Masson pine and Larix were higher than the plantations, which was contrary for Chinese fir. These resuits could be applied to the accurate estimation of forest carbon sequestration and the projection of future potential carbon sequestration.
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