摘要
以大兴安岭兴安落叶松(Larixgmelinii)林和白桦(Betula platyphylla)林为研究对象,采用挖掘法获取土壤根系样品,研究两树种细根生物量、分布特征及季节动态。结果表明:兴安落叶松林细根(≤5 mm)生物量全年平均值为371.64 g.m-2,白桦林为402.87 g.m-2,存在一定的差异;从水平分布上看,兴安落叶松林在树干和树冠投影边缘的中点处细根生物量最大(411.22 g.m-2),其次为树冠投影边缘处(364.94 g.m-2),靠近树干处最小(338.78 g.m-2);白桦林与落叶松林的情况相同,即树干和树冠投影边缘的中点处最大,其次为树冠投影边缘处,靠近树干处最小,分别为445.87、437.32、325.45 g.m-2;从垂直分布上看,由于不同土壤层的理化性质等的不同,两种林分细根生物量主要分布在0～10 cm土层,分别占总生物量的52.20%和57.78%;两种林分细根生物量在生长季内均表现出显著的季节变化的差异性,即最小值均出现在5月份,但兴安落叶松林最大值出现在7月份(598.80 g.m-2),白桦林则出现在9月份(528.97 g.m-2)。
An experiment was conducted to study the distribution and seasonal changes in fine root biomass of Larix gmelinii and Betula platyphylla forests in Great Xing＇an Mountains.Results showed that there was a difference in annual average fine root（≤5mm） biomass between L.gmelinii and B.platyphylla forests,which were 371.64 and 402.87g·m-2 respectively.Fine root biomass of the L.gmelinii forest showed the maximum value（411.22g·m-2） in the midpoint between the trunk and the edge of canopy projection,a higher value（364.94g·m-2） in the edge of canopy projection,and the minimum value（338.78g·m-2） appeared close to the trunk.Horizontal distribution of fine roots was similar.The above values of B.platyphylla were 445.87,437.32 and 325.45g·m-2,respectively.The vertical distribution of fine root biomass of the two forests was affected by the differences in soil physical and chemical properties.Fine root biomass in the 0-10cm soil layer in the L.gmelinii and B.platyphylla forests accounted for 52.20% and 57.78% of the total biomass respectively.Fine root biomass of the two forests showed significant seasonal variations in the growing season.The maximum values of the L.gmelinii（598.80g·m-2） and B.platyphylla forests（528.97g·m-2） appeared in July and September respectively,while the minimum values both appeared in May.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2011年第5期36-39,共4页
Journal of Northeast Forestry University
基金
林业公益性行业科研专项(200804002)
关键词
兴安落叶松
白桦
细根生物量
分布特征
季节动态
Larix gmelinii
Betula platyphylla
Fine root biomass
Distribution features
Seasonal dynamics
