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作 者:陶宝先[1] 张金池[1] 崔志华[1] 孔雨光[1] 俞元春[1]
机构地区:[1]南京林业大学森林资源与环境学院,江苏南京210037
出 处:《生态与农村环境学报》2009年第2期44-48,共5页Journal of Ecology and Rural Environment
基 金:国家"十一五"林业科技支撑项目(2006BAD03A16);国家林业局"948"项目(2005-4-17);国家林业公益性行业科研专项(200804040)
摘 要:研究了苏南丘陵地区马尾松、毛竹、麻栎、杉木4种林分土壤的蔗糖酶、酸性磷酸酶、脲酶活性及其与土壤理化性质的关系。结果表明,马尾松林土壤蔗糖酶和酸性磷酸酶活性最高,毛竹林土壤脲酶活性最高,裸地土壤3种酶活性均最低;3种酶活性在土壤剖面中呈自上而下逐渐减小的趋势,蔗糖酶、酸性磷酸酶活性随土层深度的变化较大,脲酶活性相对变化较小。相关分析结果表明,蔗糖酶和酸性磷酸酶分别与全N、有效P、有机质在α=0.01水平下呈显著正相关,且2种酶之间在α=0.01水平下呈显著正相关;蔗糖酶与Pb在α=0.05水平下呈显著正相关,酸性磷酸酶与Cu、Pb在α=0.01水平下呈显著正相关;脲酶与全P、有机质、Pb在α=0.01水平下呈显著正相关,与容重在α=0.01水平下呈显著负相关,与全N、酸性磷酸酶、Cu在α=0.05水平下呈显著正相关。回归分析结果表明,3种酶与全N、有效P、有机质、Cu、Pb之间呈非线性关系。主成分分析结果表明,对4种林分土壤肥力起主要作用的因子主要包括:土壤脲酶、酸性磷酸酶、蔗糖酶、全N、有效P、速效K、有机质。3种酶可作为较理想的土壤质量评价指标。Investigations were carried out on activities of soil urease, sucrase and acidic phosphatease in soils under four different forest stands, i.e. Pinus massoniana, Phyllostachys pubescens, Quercus acutissima, and Cunninghamia lanceolata, and their relationships with soil physical and chemical properties in the south part of Jiangsu Province. Results indicate that the soil under Pinus massoniana is the highest in activity of sucrose and acidic phosphatease, the soil under Philo lostachys pubescens the highest in activity of urease, while the soil in bare land is the lowest in activity of all three en- zymes. In soil profiles, enzyme activity declines gradually from top to bottom, and variation is obvious with soil sucrase and acidic phosphatase and not so with soil urease. The analysis of correlation indicates a significant positive correlation of soil sucrose and acidic phospbatease with soil total nitrogen, available phosphorus, and organic matter, separately, at the level of α = 0. 01, and with each other, at the same level, too ; of soil sucrose with Pb at the level of α = 0. 05 ; of soil acidic phosphatease with Cu, and Pb at the level of α= 0.01, of urease with Pb, soil total phosphorus and organic matter at the level of α=0. 01 and with total N, acidic phosphatease and Cu at the level of a=0. 05, but a significant negative correlation with soil bulk density. The regression analysis reveals that the three enzymes have a non-linear correlation with soil total nitrogen, available phosphorus, organic matter, Cu, and Pb. The principal component regression analysis indicates that the primary factors of soil fertility are soil total nitrogen, organic matter, available phosphorus, available K, urease, sucrase and acidic phosphatase. The three soil enzymes are the perfect indicators for soil quality assessment.
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