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机构地区:[1]南京林业大学森林资源与环境学院 [2]浙江大学农业遥感与信息技术应用研究所,浙江杭州310029
出 处:《南京林业大学学报(自然科学版)》2007年第2期13-18,共6页Journal of Nanjing Forestry University:Natural Sciences Edition
基 金:国家重点基础研究发展计划资助项目(G1999043400)
摘 要:在半干旱典型区域选择了8个不同植物群落样地对4类土壤酶活性及与土壤理化性质、微生物量的关系进行研究。结果表明,各种酶活性受制于水分、盐碱等因素,含量均较低。大多数酶在同一样地各个剖面中变化趋势一致。相关分析表明,影响各种酶活性的土壤物理、化学、生物性状有一定的差异,其中大多与有机质含量、微生物含量有非常密切的关系。用土壤化学性质对各种酶活性进行逐步回归分析,可以得到理想的方程。主成分分析发现,微生物量和中性磷酸酶在各主成分中均有较大的相关系数,可认为是该地区有代表性的土壤生物特性因子。另外,对土壤表层酶活性和微生物量进行聚类分析,可以将8个样地分为不同的类别。Soil enzyme activities and the relationships with soil physical, chemical properties and microbial biomass of eight typical plots in representative semi-arid areas, were discussed. The results shown that soil enzyme activities were not so high in this region for shortage of moisture and high soil salt content. The trends of soil enzyme activities in the same profile were very similar. Correlation analyses also shown the soil enzymes were affected by respectively soil physical, chemical and biological properties. Especially the organic matter content and microbial biomass have a very closed relationship with many enzymes. The regression equations between soil enzyme activities and chemical properties were ob- tained by using a stepwise regression method. The principal component analysis reflects that the microbial biomass and the neutral phosphatase have higher coefficient in every major constituents, so these two properties can be considered to be the most important soil biological factors. Finally, the cluster analysis by soil enzyme activities and microbial biomass were conducted. The eight plots can be sorted to different degrees.
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