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西双版纳热带人工雨林生物量及净第一性生产力的研究
引用本文:唐建维,张建候,宋启示,黄自云,李自能,王利繁,曾荣.西双版纳热带人工雨林生物量及净第一性生产力的研究[J].应用生态学报,2003,14(1):1-6.
作者姓名:唐建维  张建候  宋启示  黄自云  李自能  王利繁  曾荣
作者单位:1. 中国科学院西双版纳热带植物园热带雨林生态系统定位研究站,勐腊,666303
2. 西双版纳国家级自然保护区管理局勐仑保护所,勐腊,666303
基金项目:中国科学院重大项目 (KZ95T 0 4 0 2 ),国家科技部“2 0 0 1年度基础研究快速反应支持项目 ( 2 0 0 1CCB0 0 6 0 0 )” .
摘    要:通过标准木法和收获法研究分析了西双版纳热带人工模拟雨林的生物量及净第一性生产力。结果表明,林分总生物量约为390.4t·hm-2,其中乔木层生物量达362.5t·hm-2,占总生物量的92.8%,灌木层生物量为19.3t·hm-2,占4.9%,层间植物9包括附生植物)的生物量为3.6t·hm-2,草本层生物量为5.0t·hm-2,分别占1.3%和0.9%。林分净第一性生产力为2227.3g.m-2.年-1,其中乔木层的净生产力为1553.5g·m-2.年-1,占整个林分净生产力的69.7%,灌木层、草本层及层间植物分别仅占26.9%、2.4%和1.0%,其器官分配比例以茎最高,0达42.0%;其次为叶,占30.2%;枝占13.5%。叶面积指数为7.061。同时建立了林分优势种及乔木层各器官生物量的优化回归模型。

关 键 词:生物量  净第一性生产力  热带人工雨林
文章编号:1001-9332(2003)01-0001-06
修稿时间:2002年4月10日

Biomass and net primary productivity of artificial tropical rainforest in Xishuangbanna
TANG Jianwei,ZHANG Jianhou,SONG Qishi,HUANG Ziyun,LI Zineng,WANG Lifan,ZENG Rong.Biomass and net primary productivity of artificial tropical rainforest in Xishuangbanna[J].Chinese Journal of Applied Ecology,2003,14(1):1-6.
Authors:TANG Jianwei  ZHANG Jianhou  SONG Qishi  HUANG Ziyun  LI Zineng  WANG Lifan  ZENG Rong
Institution:Tropical Rainforest Ecosystem Research Station, Xishuangbanna Tropical Botanic Garden, Chinese Academy of Sciences, Menglun 666303, China. Tangjw@xtbg.org.cn
Abstract:The stand biomass and primary net productivity of artificial tropical rainforest in Xishuangbanna were estimated, based on sample tree method and harvesting method. The results showed that the standing biomass was 390.4 t.hm-2, of which, 362.5 t.hm-2(92.8%) were contributed by tree layers. The biomass of shrub and inter-layer plants (including epiphytes) was 19.3 t.hm-2(4.9%) and 3.6 t.hm-2(0.9%), respectively, and that of herbaceous layers was 5.0 t.hm-2. The primary net productivity of the stand was 2227.3 g.m-2.yr-1, of which, 1553.5 g.m-2.yr-1(69.7%) were contributed by tree layers. In the allocation of primary net productivity in different parts of trees stems showed the highest net productivity, accounted for 42.0%. Leaves and branches were accounted for 30.2% and 13.5%, respectively. The leaf area index (LAI) was 7.061. The optimum regression models of different dominant plants and organs of the sample trees of tree layer in the artificial tropical forest were built.
Keywords:Biomass  Net primary productivity  Artificial tropical rainforest  
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