文献类型：期刊文献

中文题名：华北落叶松人工林的生物量估算参数

英文题名：Biomass Estimation Factors of Larix principis-rupprechtii Plantations in Northern China

作者：罗云建[1,2] 王效科[2] 张小全[3,1] 朱建华[1] 张治军[1] 侯振宏[1]

第一作者：罗云建

机构：[1]中国林业科学研究院森林生态环境与保护研究所国家林业局森林生态环境重点实验室;[2]中国科学院生态环境研究中心城市与区域国家重点实验室;[3]大自然保护协会中国部

年份：2010

卷号：46

期号：2

起止页码：6-11

中文期刊名：林业科学

外文期刊名：Scientia Silvae Sinicae

收录：CSTPCD;;Scopus;北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：科技部科研院所社会公益研究专项(2004DIB3J103);国家科技支撑计划(2007BAC03A07);林业科技支撑计划专题(2006BAD03A0704);国家林业局948项目(2006-4-17)

语种：中文

中文关键词：生物量估算;华北落叶松人工林;生物量转扩因子;生物量扩展因子;根茎比

外文关键词：biomass estimation; Larix principis-rupprechtii plantation; biomass conversion and expansion factor; biomass expansion factor; root∶shoot ratio

分类号：S718.5

摘要：分析华北落叶松人工林4个典型区域(关帝山、五台山中山区、五台山盆地区和塞罕坝)的生物量估算参数(生物量转扩因子、生物量扩展因子和根茎比)及其区域分异。结果表明:关帝山林区和五台山林区(中山区和盆地区)的生物量转扩因子平均值间无显著差异(P>0.05)且都大于塞罕坝林区(P<0.05);关帝山林区、五台山盆地区和塞罕坝林区的生物量扩展因子平均值间无显著差异(P>0.05)且都小于五台山中山区(P<0.05);生物量转扩因子和生物量扩展因子随林龄、平均胸径和蓄积量的增加而减小并趋于稳定;4个区域的根茎比平均值间无显著差异(P>0.05);根茎比随林龄和平均胸径的增加而增加(P<0.01),但与林分密度和蓄积量无显著相关性(P>0.05)。由于不同区域的生物量转扩因子和生物量扩展因子平均值间存在显著差异,故而建议按区域选择它们的值,并尽可能利用它们与林分测量指标的函数关系来确定。
Biomass conversion and expansion factor （BCEF）,biomass expansion factor （BEF） and root∶shoot ratio （R/S） of Larix principis-rupprechtii plantations in four typical regions （i.e. Guandi Mountain,Middle-alpine zone of Wutai Mountain,Basin zone of Wutai Mountain,and Saihanba Forest Region） were calculated,and then their heterogeneities were analyzed. Results showed that： 1） there was no statistical difference of mean BCEF between Guandi Mountain and Wutai Mountain （P0.05）,but the mean BCEF was greater than that in Saihanba Forest Region （P0.05）. Mean BEF in Middle-alpine zone of Wutai Mountain was greater （P0.05） than that in the other regions among which there were no significant differences in BEF （P0.05）. BCEF value,as well as BEF,decreased and tended to stabilization with increasing stand age,mean DBH and standing volume. 2） there was no statistical differences of mean R/S among regions （P0.05）. R/S value had positive correlations with stand age and mean DBH （P0.01）,but had no significant correlations with standing volume and stand density. Based on these significant differences among regions,we recommend to select BCEF and BEF values in the given distribution regions. If possible,it is better to use the variable BCEF and BEF as functions of stand measured factors （e.g. stand age,mean DBH,and standing volume）.