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林业科学 ›› 2014, Vol. 50 ›› Issue (11): 1-12.doi: 10.11707/j.1001-7488.20141101

• 论文与研究报告 • 上一篇    下一篇

中国杉木林生物量估算参数及其影响因素

左舒翟1, 任引1, 王效科2, 张小全3, 罗云建1   

  1. 1. 中国科学院城市环境研究所 厦门 361021;
    2. 中国科学院生态环境研究中心城市与区域生态国家重点实验室 北京 100085;
    3. 大自然保护协会中国部 北京 100600
  • 收稿日期:2013-07-18 修回日期:2014-09-26 出版日期:2014-11-25 发布日期:2014-12-04
  • 通讯作者: 罗云建
  • 基金资助:

    林业公益性行业科研专项(201304205);中国科学院战略性先导科技专项(XDA05060102和XDA05050602);福建省科技计划项目(2013Y0083);2013年度留学人员科技活动项目择优资助"用材林和经济林碳汇功能与成本效益的对比研究".

Biomass Estimation Factors and Their Determinants of Cunninghamia lanceolata Forests in China

Zuo Shudi1, Ren Yin1, Wang Xiaoke2, Zhang Xiaoquan3, Luo Yunjian1   

  1. 1. Institute of Urban Environment, CAS Xiamen 361021;
    2. State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences, CAS Beijing 100085;
    3. The Nature Conservancy China Program Beijing 100600
  • Received:2013-07-18 Revised:2014-09-26 Online:2014-11-25 Published:2014-12-04

摘要:

收集整理杉木林的生物量文献数据,探讨3个常用的生物量估算参数(生物量换算系数BCEF、生物量扩展系数BEF和根茎比R)及其影响因素.结果表明:BCEF,BEF和R的平均值分别为0.616 Mg·m-3(n=245, SD=0.426)、1.489(n=334,SD=0.379)和0.247(n=268, SD=0.083); 随着林龄、平均胸径、平均树高和立木蓄积量增加,BCEF,BEF和R值逐渐减小并趋于稳定(P<0.001),但随着林分密度增加,它们呈现显著增加的趋势(P<0.001); 随着年均气温增加,BEF和R逐渐减小(P<0.05),但BCEF无明显的变化趋势; 随着年均降水量增加,BEF逐渐减小,当降水量大于1 550 mm后,其又逐渐增加(P<0.001),而BCEF和R均无明显的变化趋势.因此,在应用BEF和R估算较大环境梯度的森林生物量时,应综合考虑林分特征指标和气候因素的影响,尤其是BEF.

关键词: 杉木林, 生物量换算系数, 生物量扩展系数, 根茎比, 年均气温, 年均降水量

Abstract:

By collecting data from published literature on biomass measurements of Cunninghamia lanceolata forests, we explored the variation and its determinants of three common biomass estimation factors, i.e. biomass conversion and expansion factor (BCEF), biomass expansion factor (BEF), and root:shoot ratio (R). Means of BCEF, BEF and R were 0.616 Mg·m-3 (n=245, SD=0.426), 1.489 (n=334, SD=0.379) and 0.247 (n=268, SD=0.083), respectively. All biomass estimation factors decreased and then leveled off (P<0.001) with increasing stand age and tree size (mean diameter at breast height, mean tree height, and standing volume), while they increased with increasing stand density (P<0.001). Values of BEF and R decreased significantly with increasing mean annual temperature (P<0.05), while BCEF values did not show the changing trends. With increasing mean annual precipitation, values of BCEF and R had no changing trends, but BEF values decreased and then increased above 1 550 mm (P<0.001). Therefore, stand and climatic variables should be considered when applying BEF and R to estimate forest biomass across broad climatic gradients, especially with BEF.

Key words: Cunninghamia lanceolata forest, biomass conversion and expansion factor, biomass expansion factor, root:shoot ratio, mean annual temperature, mean annual precipitation

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