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长白落叶松与日本落叶松的碳储量成熟龄

殷鸣放1;赵林1;陈晓非2;高松2;侯传生3   

  1. 1沈阳农业大学林学院, 沈阳 110161; 2辽宁省清原县林业局, 辽宁清原 113300; 3辽宁省清原县大边沟林场, 辽宁清原 113300
  • 收稿日期:2008-03-31 修回日期:1900-01-01 出版日期:2008-12-20 发布日期:2008-12-20

Carbon storage maturity age of Larix olgenisis and L. kaempferi.

YIN Ming-fang1; ZHAO Lin1; CHEN Xiao-fei2; GAO Song2; HOU Chuan-sheng3   

  1. 1College of Forestry, Shenyang Agricultural University, Shenyang 110161, China; 2Qingyuan Forest Bureau, Qingyuan 113300, Liaoning, China;3Dabiangou Forest Farm, Qingyuan 113300, Liaoning, China
  • Received:2008-03-31 Revised:1900-01-01 Online:2008-12-20 Published:2008-12-20

摘要: 通过树干解析求得材积连年生长量和平均生长量,运用Vario EL Ⅲ型元素分析仪测定长白落叶松和日本落叶松不同年龄阶段碳百分含量及碳密度,并对两树种的碳储量成熟龄进行了探讨.结果表明:长白落叶松和日本落叶松的材积数量成熟龄分别为48.3年和49.3年;两树种碳密度变化趋势基本一致,长白落叶松最大值出现在30年,日本落叶松出现在35年;日本落叶松连年碳积累量大于长白落叶松,但达到最大值的年龄较晚;日本落叶松的平均碳积累量大于长白落叶松;对两树种的连年碳积累量和平均碳积累量的曲线方程进行拟合,得到长白落叶松和日本落叶松的碳储量成熟龄分别为48.7年和47.7年.

关键词: 林分发育, 生物量, Biome-BGC模型, 净初级生产力

Abstract: The successive years and average increments of the volumes of Larix olgensis and L. kaempferi were computed by Trunk Analysis, and the carbon content and carbon density of L. olgensis and L. kaempferi at their different age stages were measured with Germany Vario EL Ⅲ element analyzer, aimed to approach the carbon storage maturity age of the two tree species. The results indicated that L. olgensis and L. kaempferi had a volume maturity age of 48.3 and 49.3 years, respectively, and the change trend of their carbon density was basically identical. The maximum carbon density was presented in the 30th year for L. olgensis and the 35th year for L. kaempfer. The successive years carbon storage of L. kaempferi was larger than that of L. olgensis, but the carbon storage maturity age was in adverse. The average carbon storage of L.kaempferi was also larger than that of L. olgensis. Through simulating the curve equations of successive years and average carbon storages, the carbon storage maturity age of L. olgensis and L. kaempferi were computed as 48.7 years and 47.7 years, respectively.

Key words: net primary productivity, forest development, biomass, Biome-BGC model