四川农业大学学报 ›› 2012, Vol. 30 ›› Issue (03): 308-312.doi: 10.3969/j.issn.1000-2650.2012.03.008

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撑绿杂交竹分株生物量估算

刘广路, 范少辉, 张大鹏, 蔡春菊   

  1. 国际竹藤中心竹藤科学与技术重点实验室, 北京 100102
  • 收稿日期:2012-04-09 出版日期:2012-09-30 发布日期:2017-02-28
  • 作者简介:刘广路,博士,助研,主要从事竹林培育和竹林生态方面的研究,E-mail:liuguanglu@icbr.ac.cn。
  • 基金资助:
    林业公益性行业科研专项(201004005;201104021)

Estimate of Biomass of Bambus pervariabilis×Dendrocalamopsis daii Ramaet

LIU Guang-lu, FAN Shao-hui, ZHANG Da-peng, CAI Chun-ju   

  1. International Centre for Bamboo and Rattan, Key Laboratory of Bamboo and Rattan, Beijing 100102, China
  • Received:2012-04-09 Online:2012-09-30 Published:2017-02-28
  • Contact: 范少辉,博士,研究员,博士生导师,主要从事森林培育学研究,E-mail:fansh@icbr.ac.cn。 E-mail:fansh@icbr.ac.cn

摘要: [目的] 能够更好地估算丛生竹的生物量。[方法] 以撑绿杂交竹为研究对象,通过查询已有文献和实地调查,对不同径级、不同年龄和不同地域的撑绿杂交竹分株生物量进行了研究。[结果] 结果表明,2~3a生竹秆生物量分配比例极显著(P<0.01)高于4a生竹秆生物量分配。其中,2~3a生竹秆生物量占分株地上生物量的63.74%~79.99%,竹枝占8.63%~27.16%,竹叶占4.04%~11.38%。竹秆生物量占分株地上生物量的比例随着径级的增加而升高,竹枝生物量所占比例随着径级的升高而降低,但是不同研究地点生物量分配格局的变化趋势不尽相同。四川长宁撑绿杂交竹竹枝生物量分配比例高于四川雅安的竹枝生物量分配比例,叶生物量比例则低于四川雅安的。撑绿杂交竹分株生物量可以通过模型进行较好的拟合,地上部分生物量和竹秆生物量用多项式(y=a0+a1x+a2x2+a3x3)拟合较好,竹枝生物量用线性模型(y=a+bx)拟合较好,竹叶生物量用指数模型(y=axb)拟合较好。通过对实测数据与不同地点撑绿杂交竹分株生物量模型模拟值的比较,四川长宁县两个数据点模拟值和实测值的差异未达到显著水平,而与云南水富县的模拟值差异达到极显著(P<0.01)水平。[结论] 撑绿杂交竹分株年龄和径级对分株生物量分配格局有重要的影响,且不同地域间的生物量分配格局也存在差异,反映了撑绿杂交竹具有较强的形态可塑性。应用生物量模型模拟的方法对不同地域撑绿杂交竹分株生物量进行预测时,要首先进行模型的选择和回归系数的校正。

关键词: 撑绿杂交竹, 分株生物量, 模型模拟

Abstract: [Objective] To estimate the biomass of sympodial bamboo better. [Method] The biomass of Bambus pervariabilis×Dendrocalamopsis daii of ramet with different diameter classes, ages and areas was estimated based on previous studies and field investigations. [Results] The proportion of culm biomass for 2-3 years bamboo was significantly greater than that of 4-year-old bamboo. For 2-3 years bamboo, the proportion of culm, branch and leaf biomass was 63.74%-79.99%, 8.63%-27.16% and 4.04%-11.38%, respectively. The proportion of culm biomass increased with increasing diameter class, but the opposite was true for the proportion of branch biomass. Moreover, the correlations were different in different regions. For example, the proportion of branch biomass was larger in Changning county than in Yaan city. Coversely, the proportion of leaf biomass was smaller in Changning county than in Yaan city. The B. pervariabilis×D. daii biomass can be well fitted by models. The aboveground biomass and culm biomass was calculated by the model of y=a0+a1x+a2x2+a3x3. The branch biomass was fitted by the model of y=a+bx and the leaves biomass was estimated by the model of y=axb. When comparing the differences between measured and simulated data, no significant difference was found between measured and simulated data in two plots of Changning county but significant difference(P<0.01) was observed in Shuifu of Yunnan province. [Conclusion] The allocation of bamboo biomass was affected by bamboo ages and diameter classes. Moreover, the patterns of biomass allocation were different in different regions, reflecting that bamboo of B. pervariabilis×D. daii had a strong morphological plasticity. When the biomass was estimated by model in different regions, it was necessary to choose a suitable model and adjust model coefficients.

Key words: Bambus pervariabilis×Dendrocalamopsis daii, biomass of ramet, model simulation

中图分类号: 

  • S715.2