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作 者:左舒翟[1] 任引[1] 王效科[2] 张小全[3] 罗云建[1]
机构地区:[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
出 处:《林业科学》2014年第11期1-12,共12页Scientia Silvae Sinicae
基 金: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"
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。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 (〈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.
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