Seasonal variation of enzyme activity and their dependence on certain soil factors in a beech forest soil
Seasonal variation of enzyme activity and their dependence on certain soil factors in a beech forest soil
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山毛榉林土壤中酶活性的季节变化及其对某些土壤因素的依赖性
DOI：
10.1016/0038-0717(88)90147-2
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发表时间：
1988
影响因子：
9.7
通讯作者：
A. Hüttermann
中科院分区：
文献类型：
--
作者：
N. Rastin;K. Rosenplänter;A. Hüttermann
研究了山毛榉林土壤中磷酸单酯酶（PME）、磷酸二酯酶（PDE）和β-葡萄糖苷酶活性的季节变化。测定微生物总活性、土壤pH、土壤溶液中铵态氮和硝酸盐氮浓度、土壤含水量和土壤温度，每个月测定一次。三种酶中，PME酶活性最高，季节变化最小。相比之下，PDE的活动最少，因此季节性波动最大。3种酶的季节波动规律不同，但均在春季达到最大值。为了验证酶活性与其他确定因素之间的关系，进行了相关分析，结果发现许多因素之间存在显著相关性。通过相关性计算比较两个相互依赖因子的季节变化过程，发现只有PDE活性与phkcl2之间的相关性是合理的。在大多数情况下，季节性趋势导致实际上并不存在的显著相关性。当考虑因果关系时，这可能导致误解。因此，季节调查的相关分析所产生的结果应始终与季节趋势的图形表示相联系来解释。
The seasonal variation of the three enzymes phosphomonoesterase (PME) (acid phosphatase), phosphodiesterase (PDE) and β-glucosidase activity in a beech forest soil were investigated. The hydrolysis of fluorescein diacetate as a measure of total microbial activity, and also soil pH, ammonium-N and nitrate-N-concentrations in the soil solution, soil moisture content and soil temperature were measured every month for one year. Of the three enzymes investigated, PME showed the highest activity and the lowest seasonal variation. PDE by contrast showed the lowest activity, and therefore the highest seasonal fluctuations. The seasonal fluctuations of the three enzymes investigated followed divergent patterns but they all reached their maximum in spring. Correlation analysis, which was carried out in order to verify the relationships between enzyme activities and other determined factors, led to significant correlations between a number of factors. A comparison of the seasonal course of two interdependent factors by means of correlation calculation showed that only the correlation established between PDE activity and pHKClcould be justified. In most cases the seasonal trend led to significant correlations which in reality did not exist. This may result in misinterpretation when causal relationships are considered. The results produced by correlation analysis of seasonal investigations should therefore always be interpreted in relation to a graphical representation of seasonal trends.