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筇竹无性系种群生物量结构与动态研究
引用本文:董文渊,黄宝龙,谢泽轩,谢周华,刘厚源.筇竹无性系种群生物量结构与动态研究[J].林业科学研究,2002,15(4):416-420.
作者姓名:董文渊  黄宝龙  谢泽轩  谢周华  刘厚源
作者单位:1. 西南林学院竹藤研究所,云南,昆明,650224
2. 南京林业大学森林资源与环境学院,江苏,南京,210037
3. 云南省大关县科学技术委员会,云南,大关,657400
4. 云南省大关县木杆乡林业站,云南,大关,657408
基金项目:云南省教育厅科学基金资助项目 (2 2 2 0 5 19)
摘    要:依据Harper的构件结构理论 ,从群落和个体两个水平上研究了筇竹无性系种群的生物量结构与动态。结果表明 :(1)筇竹无性系种群分株的生物量优化模型为 :W =344 .0 96 3D - 2 2 .6 0 12。(2 )筇竹无性系种群中各分株生物量在 1  5年生的分配为 31.94 %、37.0 1%、13.30 %、16 .2 4 %、1.5 1% ;生物量在各构件单位的分配为秆 4 2 .72 % ,枝 5 .82 % ,叶 6 .5 2 % ,根 6 .70 % ,鞭 2 7.13% ,篼11.11%。(3)筇竹无性系分株生物量在笋 -幼竹生长时期符合Logistic增长 ;叶生物量季节变化明显 ,其峰值出现在 10月份 ,最低值出现在 2月份

关 键 词:筇竹  无性系种群  生物量  动态
文章编号:1001-1498(2002)04-0416-05
收稿时间:2001/10/11 0:00:00

Studies on the Structure and Dynamics of Biomass of Qiongzhuea tumidinoda Clone Population
DONG Wen yuan,HUANG Bao long,XIE Ze xuan,XIE Zhou hua and LIU Hou yuan.Studies on the Structure and Dynamics of Biomass of Qiongzhuea tumidinoda Clone Population[J].Forest Research,2002,15(4):416-420.
Authors:DONG Wen yuan  HUANG Bao long  XIE Ze xuan  XIE Zhou hua and LIU Hou yuan
Institution:DONG Wen yuan 1,HUANG Bao long 2,XIE Ze xuan 3,XIE Zhou hua 3,LIU Hou yuan 4
Abstract:The biomass structure and dynamics of Qiongzhuea tumidinoda Hsueh et Yi clone population were studied at the level of community and ramets population. The results are as follows: (1) The relationship between biomass of ramets ( W ) and its breast height diameter ( D ) can be best described by the model: W =344.096 3 D -22.061 2; (2) The biomass allocations of ramets from 1 to 5 a are 31.94%, 37.01%, 13.30%, 16.24% and 1.51% respectively, while the allocations among culm, branch, leaf, root, rhizome, bamboo stump are 42.72%, 5.82%, 6.52%, 6.70%, 27.13% and 11.11% respectively; (3) The biomass increase of clone population between the stage of shoot and young bamboo follows Logistic equation. The biomass allocation to leaves, however, changes with the season, and its peak value and lowest value appear in Oct. and Feb. respectively.
Keywords:Qiongzhuea tumidinoda  clone population  biomass  dynamics  
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