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Relationships Between Tree and Soil Properties in Picea abies and Pinus sylvestris Forests in Sweden

机译:瑞典云杉和樟子松林树木与土壤性质的关系

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摘要

The exchange of elements between plants and the soil in which they are growing creates reciprocal control of their element composition. Within plants, the growth rate hypothesis from ecological stoichiometry implies a strong coupling between C, N, and P. No similar theory exists for predicting relationships between elements in the soil or relationships between plants and the soil. We used a data set of element concentrations in needles and humus of Scots pine (Pinus sylvestris) and Norway spruce (Picea abies) forests in Sweden to investigate the extent to which relationships between elements (C, N, P, S, K, Ca, Mg, Fe, Mn, Al) can be observed within and between plants and soils. We found element composition to be more strongly controlled in needles than in humus. Elements that are covalently bound were also more strongly controlled, with no apparent differences between macro- and micronutrients. With the exception of N/C, there were surprisingly few relationships between elements in needles and humus. We found no major differences between the two tree species studied, but investigations of additional forest types are needed for firm conclusions. More control over element composition was exercised with respect to N than C, particularly in needles, so it might be advantageous to express nutrient concentrations relative to N rather than on a dry weight or carbon basis. Variations in many ecosystem variables appeared to lack ecological significance and thus an important task is to identify the meaningful predictors.
机译:植物与生长土壤之间的元素交换产生对元素组成的相互控制。在植物内部,根据生态化学计量学得出的生长速率假说暗示了C,N和P之间的强耦合。不存在类似的理论来预测土壤中元素之间的关系或植物与土壤之间的关系。我们使用瑞典松树(Pinus sylvestris)和挪威云杉(Picea abies)森林的针叶和腐殖质中元素浓度的数据集来调查元素之间的关系程度(C,N,P,S,K,Ca ,Mg,Fe,Mn,Al)可以在植物和土壤内部和之间观察到。我们发现针中的元素组成比腐殖质中的元素组成受到更严格的控制。共价键结合的元素也得到了更严格的控制,常量和微量营养素之间没有明显差异。除N / C外,针中的元素与腐殖质之间几乎没有任何关系。我们发现所研究的两种树种之间没有重大区别,但是需要对其他森林类型进行调查才能得出肯定的结论。相对于碳,尤其是在针头方面,对氮的元素组成得到了更多的控制,因此相对于氮而不是以干重或碳为基础来表达营养物浓度可能是有利的。许多生态系统变量的变化似乎缺乏生态意义,因此一项重要任务是确定有意义的预测因子。

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