西南林业大学学报2017，Vol.37Issue(1)：104-109,6.DOI:10.11929/j.issn.2095-1914.2017.01.017
模拟干旱对鼎湖山季风常绿阔叶林土壤碳氮磷化学计量特征的影响
Effects of Drought on the C/N/P Stoichiometry in the Soil of a Subtropical Monsoon Evergreen Broad-leaved Forest
摘要
Abstract
In order to investigate the effects of drought on soil carbon ( C ) , nitrogen ( N ) and phosphorus (P), this study was conducted to analyze soil C, N and P content of a subtropical monsoon evergreen broad-leaved forest in the Dinghushan Natural Reserve, with manmade precipitation pattern manipulations. The studied forest is the climax forest in southern China but most sensitive to environmental changes, and therefore important to the sta-bilization of climate system in this region. A treatment to remove 50% of annual precipitation was conducted for 2 years in the studied forest, with natural precipitation as the control. Results showed that compared with the control, the drought treatment significantly reduced soil moisture. Soil C, N and P content of the subtropical monsoon ever-green broad-leaved forest gradually decreased with the increase of soil depth. Soil C and P content tended to in-crease but soil N content did not change obviously under the drought treatment in relative to the control. The C ∶N, C ∶P and N ∶P of the subtropical monsoon evergreen broad-leaved forest decreased with the increasing of the soil depth. Detectable increases in soil C ∶N and C ∶P ratios but a decrease in soil (0-10 cm) N ∶P ratio induced by the drought treatment. Our results suggest that a 2-year-period precipitation decrease can significantly reduce soil moisture and therefore decrease the decomposition rate of soil organic matter, change the accumulations of soil C, N and P in the subtropical climax forest of southern China.关键词
干旱/土壤碳氮磷/生态化学计量/季风常绿阔叶林Key words
drought/C/N/P in the soil/stoichiometry/monsoon evergreen broad-leaved forest分类
农业科技引用本文复制引用
姚庭玉,陈小梅,何俊杰,钟倩欣,陈俐平..模拟干旱对鼎湖山季风常绿阔叶林土壤碳氮磷化学计量特征的影响[J].西南林业大学学报,2017,37(1):104-109,6.基金项目
国家级大学生创新训练项目(201511078018)资助；广州市属高校科技计划项目(1201430746)资助；国家自然科学基金项目(31400415)资助。 （201511078018）
