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Position: Home > Articles > Biomass Estimation Factors and Their Determinants of Cunninghamia lanceolata Forests in China Scientia Silvae Sinicae 2014,50 (11) 1-12

中国杉木林生物量估算参数及其影响因素

作  者：
左舒翟;任引;王效科;张小全;罗云建
单  位：
中国科学院城市环境研究所;大自然保护协会中国部;中国科学院生态环境研究中心
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
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。
译  名：
Biomass Estimation Factors and Their Determinants of Cunninghamia lanceolata Forests in China
作  者：
Zuo Shudi;Ren Yin;Wang Xiaoke;Zhang Xiaoquan;Luo Yunjian;Institute of Urban Environment,CAS;State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences,CAS;The Nature Conservancy China Program;
关键词：
Cunninghamia lanceolata forest;;biomass conversion and expansion factor;;biomass expansion factor;;root∶ shoot ratio;;mean annual temperature;;mean annual precipitation
摘  要：
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.

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