首页 | 本学科首页   官方微博 | 高级检索  
     检索      

长白山区常见造林树种幼苗生物量与生长分析
引用本文:梁万君,林玉梅,邹建军,林士杰,王晓娜,李沿宁.长白山区常见造林树种幼苗生物量与生长分析[J].吉林林业科技,2014(5):7-9.
作者姓名:梁万君  林玉梅  邹建军  林士杰  王晓娜  李沿宁
作者单位:1. 吉林省林业科学研究院,吉林长春,130033
2. 东北师范大学生命科学学院,吉林长春,130021
基金项目:国家科技支撑计划课题"东北碳汇林优化培育关键技术与示范"(2011BAD37B02)提供支持
摘    要:对长白山区常见树种胡桃楸、黄菠萝、假色槭、白桦的1 a生幼苗进行叶面积及生物量测定与分析,结果表明:叶生物量与单株生物量遵从幂函数异速生长模型Y=aXb,a值在2.203 1~7.250 5之间变化,b值在0.570 8~1.056 3之间变化,完全符合Kleiber法则;胡桃楸的年生物产量最高,且大部分分配在树干和根部,是固碳能力较强的树种;比叶面积依次为黄菠萝(282)假色槭(227)胡桃楸(201)白桦(156)。

关 键 词:造林树种  幼苗  叶面积  生物量分配  比叶面积

Biomass and growth analysis on seedling of common afforestation speciesin Changbai Mountains
LIANG Wan-jun,LIN Yu-mei,ZOU Jian-jun,LIN Shi-jie,WANG Xiao-na,LI Yan-ning.Biomass and growth analysis on seedling of common afforestation speciesin Changbai Mountains[J].Jilin Forestry Scicnce and Technology,2014(5):7-9.
Authors:LIANG Wan-jun  LIN Yu-mei  ZOU Jian-jun  LIN Shi-jie  WANG Xiao-na  LI Yan-ning
Institution:LIANG Wan-jun, LIN Yu-mei, ZOU Jian-jun, LIN Shi-jie, WANG Xiao-na, LI Yan-ning (1. Jilin Provincial Academy of Forestry Science, Changchun 130033, China; 2. School of Bioseience, Northeast Normal University, Changchun 130021, China)
Abstract:Leaf area and biomass of one -year-old seedlins of Juglans Mandshurica, Phellodendron amurense, Acerpseudo-sieboldianum and Betula platyphlla were measured and analyzed , results indicated that the relationships between leaf bio-mass and individual biomass followed power function allometry model y =axb, value of a was changed from 2.203 1 ~7.250 5 whereas b was from 0.570 8~1.056 3, perfectly matching Kleiber rule .Juglans Mands hurica showed highest an-nual biomass , most of them distributed in tree trunk and roots , showing highest carbon sequestration ability .Specific leaf area was Phellodendron amurense(282) 〉 Acerpseudo-sieboldianum(227) 〉 Juglans Mandshurica(201) 〉 Betula platy-phlla(156).
Keywords:afforestation species  seedling  leaf area  biomass allocation  specific leaf area
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号