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Distribution of phosphorus fractions with different plant availability in German forest soils and their relationship with common soil properties and foliar P contents

机译:德国森林土壤中不同植物有效性磷组分的分布及其与土壤性状和叶面磷含量的关系

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Abstract. Repeated, grid-based forest soil inventories such as theNational Forest Soil Inventory of Germany (NFSI) aim, among other things, atdetecting changes in soil properties and plant nutrition. In these types ofinventories, the only information on soil phosphorus (P) is commonly thetotal P content. However, total P content in mineral soils of forests isusually not a meaningful variable with respect to predicting the availability of P to trees.Here we tested a modified sequential P extraction according to Hedley?(1982) todetermine the distribution of different plant-available P fractions in soilsamples (at depths of 0–5 and 10–30 cm) from 146?NFSI sites, encompassing a widevariety of soil conditions. In addition, we analyzed relationships betweenthese P fractions and common soil properties such as pH, texture, andsoil organic carbon content (SOC). The total P content among our samples ranged fromapproximately 60 to 2800 mg kg ~(?1) . The labile, moderately labile, andstable P fractions contributed to 27 %, 51 %, and 22 % of the total Pcontent, respectively, at a depth of 0–5 cm. At a depth of 10–30 cm, the labile Pfractions decreased to 15 %, whereas the stable P fractions increased to30 %. These changes with depth were accompanied by a decrease in theorganic P fractions. High P contents were related to high pH values.While the labile Hedley P pool increased with decreasing pH in absoluteand relative terms, the stable Hedley P pool decreased in absolute andrelative terms. Increasing SOC in soils led to significant increases in allHedley P pools and in total P. In sandy soils, the P content across allfractions was lower than in other soil texture types. Multiple linearregression models indicated that Hedley P pools and P fractions weremoderately well related to soil properties (with r ~(2) values that were mostly above0.5), and that the sand content of soils had the strongest influence. Foliar Pcontents in Pinus sylvestris were reasonably well explained by the labile and moderatelylabile P pool ( r ~(2) = 0.67) but not so for Picea abies and Fagus sylvatica . Foliar Pcontents in all three species could not be related to specific Hedley Ppools. Our study indicates that soil properties such as pH, SOC content, andsoil texture may be used to predict certain soil Hedley P pools with differentplant availability on the basis of large soil inventories. However, the foliar Pcontents of tree species cannot be sufficiently well predicted by the soilvariables considered here.
机译:抽象。重复进行的基于网格的森林土壤清查,例如德国国家森林土壤清查(NFSI),旨在发现土壤性质和植物营养的变化。在这些类型的清单中,有关土壤磷(P)的唯一信息通常是总磷含量。然而,森林矿质土壤中的总磷含量对于预测树木中磷的有效性通常不是有意义的变量。根据Hedley?(1982),我们测试了改良的连续磷提取方法,以确定不同植物可利用磷的分布来自146?NFSI站点的土壤样品(0–5和10–30 cm的深度)中的分数,涵盖了各种各样的土壤条件。此外,我们分析了这些P组分与常见土壤特性(例如pH,质地和土壤有机碳含量(SOC))之间的关系。我们样品中的总磷含量约为60至2800 mg kg〜(?1)。不稳定,中等不稳定和稳定的P分数在0-5 cm的深度分别占总P含量的27%,51%和22%。在10–30 cm的深度,不稳定的P分数降低到15%,而稳定的P分数增加到30%。这些随深度的变化伴随着有机磷组分的减少。高P含量与高pH值有关。不稳定的Hedley P库在绝对值和相对值中均随着pH值的降低而增加,而稳定的Hedley P库在绝对值和相对值方面均降低。土壤中SOC的增加导致所有Hedley P库和总P的显着增加。在沙质土壤中,所有馏分中的P含量均低于其他土壤质地类型。多元线性回归模型表明,Hedley P库和P组分与土壤性质具有中等相关性(r〜(2)值大多大于0.5),并且土壤含沙量影响最大。不稳定和中等不稳定的P库( r〜(2)= 0.67)可以很好地解释樟子松的叶中P含量,而 Picea abies和 Sylvatica则不是。这三个物种中的叶面含量均与特定的赫德利斑块无关。我们的研究表明,土壤属性(例如pH值,SOC含量和土壤质地)可用于基于大量土壤库存来预测具有不同植物利用率的某些土壤Hedley P库。但是,此处考虑的土壤变量无法充分很好地预测树木的叶面P含量。

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