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城市不同香樟群落类型下土壤理化性质变化 被引量:2

Soil physical and chemical properties in different Cinnamomum camphoraforest types
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摘要 以城市3种香樟群落类型(土壤裸露的香樟纯林,草本覆盖的香樟纯林和乔灌草搭配的香樟混交林)0~40cm土壤层为研究对象,探讨不同的群落配置对土壤理化性质变化规律的影响,旨在为城市园林绿化应用提供依据。结果表明:(1)乔灌草搭配的香樟混交林对土壤容重、非毛管孔隙度、最大持水量、毛管持水量、田间持水量影响显著,分别是土壤裸露的香樟纯林的0.88、1.86、1.17、1.15和1.17倍。(2)乔灌草搭配的香樟混交林对土壤有机碳、全氮和水解氮含量有显著影响,分别是土壤裸露的香樟纯林的2.29、1.99和2.15倍。(3)土壤容重与非毛管孔隙度、最大持水量、毛管持水量、田间持水量和有机碳、全氮、全磷和水解氮呈显著负相关,有机碳与总孔隙度、最大持水量、毛管持水量、田间持水量和全氮、水解氮显著正相关。复合结构种植模式表现出良好的土壤通气性和持水能力,且拥有较高的碳氮含量,有助于改善土壤理化性质和促进土壤养分循环。 Soil physical and chemical properties in depth of 0-40 cm layers under 3 different Cinnamomum camphora forest types (pure forest with bare soil, pure forest only with grass groundcover, mixed forest covered with grass and shrubs) in the urban area were analyzed to explore the effect of different forest types on soil physical and chemical properties. The results showed that: (1) Mixed forest covered with grass and shrubs had significant effects on soil bulk density, non-capillary porosity, maximum water capacity,capillary water capacity and field capacity, which were 0. 88,1. 86,1.17, 1.15 and 1.17 times of those in pure forest with bare soil; (2) There were significant effects of mixed forest covered with grass and shrubs on organic carbon content, total nitrogen content and hydrolysis nitrogen content, which were 2. 29, 1.99 and 2. 15 times of those in pure forest with bare soil; (3) Bulk density had significant negative correlations with non-capillary porosity, maximum water capacity, capillary water capacity, field capacity, soil water storage capacity, soil organic carbon content,total nitrogen content, total phosphorus content and hydrolysable nitrogen content, respectively. Significant positive correlations of soil organic carbon with promoting the soil nutrient cycling.
作者 冷寒冰
机构地区 上海植物园
出处 《上海交通大学学报(农业科学版)》 2018年第1期81-87,共7页 Journal of Shanghai Jiaotong University(Agricultural Science)
基金 国家“十二五”科技支撑计划(2013BAJ02B0103)
关键词 香樟群落类型 土壤理化性质 相关性分析 Cinnamomum camphora forest types soil physical and chemical properties correlation analysis
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