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Variance components of the respiration rate and chemical characteristics of soil organic layers in Niepolomice Forest, Poland

机译:波兰尼波罗米采森林土壤有机层呼吸速率和化学特性的方差成分

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Respiration rates and chemical characteristics of soil organic layers were measured at 40 experimental plots, 5 sampling sites per plot, in a moderately polluted Niepolomice Forest, S. Poland. The respiration rate was positively related to pH, water content and concentrations of Ca and K, and negatively to N (tot), Zn and Pb (p < 0.001 for all variables). No significant correlation was found between the respiration rate and Na, Cu or Cd (p > 0.25 in all cases). The regression model explained 73% of the total variance. Analysis of variance components revealed that ca. 35% of the total variance in the respiration rate can be explained by the vegetation types covering the area: oak-hornbeam vs. pine-oak forests. The next 40% was explained by the variability between sampling plots and the remaining 25% by within-plot variability among sampling sites. Similar results were obtained for water content. The variance in pH was split 30%:39%:31% between vegetation types: plots: sampling sites. No variance in Ca and Na was explained by the forest type, and approximately half of the variance was due to between-plot and half to within-plot variability. In contrast, potassium concentration differed between forest types (58% variance explained), more than 25% of total variance was due to between-plot variability and only 15% due to within-plot variability. For Zn the results were 1%, 66% and 33%, for Cu 0%, 38% and 62%, for Pb 48%, 18% and 34%, and for Cd 0%, 33% and 67%, respectively. The study clearly shows (1) substantial variance in some soil characteristics between sampling sites and (2) a different split of variance among spatial scales for different soil characteristics.
机译:在波兰南部一个中等污染的尼波洛米采森林中,在40个实验区(每个区有5个采样点)上测量了土壤有机层的呼吸速率和化学特性。呼吸速率与pH值,水含量以及Ca和K浓度呈正相关,与N(总含量),Zn和Pb呈负相关(所有变量的p <0.001)。呼吸频率与Na,Cu或Cd之间无显着相关性(在所有情况下均p> 0.25)。回归模型解释了总方差的73%。方差成分分析表明,约。呼吸速率总变化的35%可以​​由覆盖该地区的植被类型来解释:橡树角树与松橡树森林。接下来的40%由采样图之间的变异性解释,其余25%由采样点之间的图内变异性解释。对于水含量获得类似的结果。 pH的变化在植被类型:地块:采样点之间划分为30%:39%:31%。 Ca和Na的变化没有被森林类型解释,大约一半的变化是由于地块间的差异,而另一半是由于地块内的差异。相比之下,森林类型之间的钾浓度不同(解释了58%的差异),总差异的25%以上是由于地块间的差异,而只有15%是由于地块内的差异。对于Zn,结果分别为1%,66%和33%,对于Cu 0%,38%和62%,对于Pb 48%,18%和34%,对于Cd 0%,33%和67%。该研究清楚地表明:(1)采样点之间某些土壤特性的显着方差;(2)不同土壤特性的空间尺度之间方差的不同划分。

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