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河北省塞罕坝地区樟子松人工林的生物量
引用本文:李晓莎,楚聪颖,许中旗,梅琳,张岩,吴强,程顺,崔同祥.河北省塞罕坝地区樟子松人工林的生物量[J].河北林果研究,2016(3):230-234.
作者姓名:李晓莎  楚聪颖  许中旗  梅琳  张岩  吴强  程顺  崔同祥
作者单位:1. 河北农业大学林学院,河北保定,071000;2. 河北省塞罕坝机械林场,河北围场,068466
基金项目:河北省林业科学技术研究应用研究类指导性计划项目“高寒山区樟子松人工林经营关键技术研究与示范”(1416464)。
摘    要:为了解塞罕坝地区樟子松人工林生长状况及生物量大小,给该地区樟子松林的经营及生态功能的评价提供科学依据,建立了该地区樟子松生物量模型,并对樟子松林生物量的大小及其分配规律进行了探讨。研究结果表明,该地区单株各器官生物量的最优模型形式均为CAR类型,且均达到显著或极显著水平,分别为W_干=0.026 8 D~(2.643 6)、W_枝=0.061 2 D~(1.862 7)、W_叶=0.112 4 D~(1.542 9)、W_果=0.000 04 D~(3.311)和W_整=0.093 D~(2.342 9);I地位级樟子松平均单株生物量明显高于II地位级,但林分总生物量则相反;与其他分布地区相比,该地区樟子松林生物量处于较高水平;樟子松生物量分配由高到低依次为干、枝、叶、果,其所占比重分别为50.87%~80.66%、10.76%~23.54%、7.31%~24.28%和0.34%~1.25%;树干生物量所占比重随林分年龄及胸径的增加而增加,枝和叶所占比例则随林分年龄和胸径的增加而逐渐下降。

关 键 词:樟子松人工林  生物量  生物量模型  生物量分配  塞罕坝地区

The biomass of Scotch pine plantations in Saihanba area of Hebei province
Abstract:In order to understand the growth and biomass of Scotch pine (Pinus sylvestris var .mongolica) plantations w hich are important for the management and valuation of the plantations in Saihanba area ,the biomass models of the Scotch pine were developed ,and the biomass and its distribution were studied .The results showed that the optimal biomass mod‐els for different organs of Scotch pine were all CAR model and reached the very significant level :Wtrunk=0 .026 8D2 .643 6 ,Wbranch =0 .061 2D1 .862 7 ,Wleaf =0 .112 4D1 .542 9 ,Wfruit =0.000 04D3 .311 , Wtree=0 .093D2 .342 9 .The Scotch pine plantations in the I site class was higher in average tree biomass than in the II site class ,but lower than that in stand biomass .The Scotch pine plan‐tations in Saibanba area were higher in biomass than most of the Scotch pine plantations in other areas of China .The descending order of biomass ratio in different organs was trunk (50 .87% ~ 80 .66% ) , branch (10.76% ~ 23 .54% ) , leaf (7 .31% ~ 24 .28% ) and fruit (0.34% ~1 .25% ) .The biomass ratios of trunks and fruits increased with the age and DBH , while that of branches and leaves decreased with age and DBH of the plantation .
Keywords:Scotch pine plantation  biomass  biomass model  biomass distribution  Saihanba area
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