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DOI10.1016/j.foreco.2018.10.007
Assessing phosphorus nutrition of the main European tree species by simple soil extraction methods
Fäth J.; Kohlpaintner M.; Blum U.; Göttlein A.; Mellert K.H.
发表日期2019
ISSN0378-1127
起始页码895
结束页码901
卷号432
英文摘要In the past few decades, high nitrogen emissions have reversed the nitrogen limitation of trees. Meanwhile, phosphorus (P) appears as a primary limiting nutrient of many forests in Europe. However, a simple and economic standard method for the determination of the plant-available phosphorus in forest soils, which drives the P supply of the trees, is not yet available. Therefore, we tested two soil extraction methods [citric-acid extract (Pcit), according to Hoffmann et al. (1991) and sodium bicarbonate extract (PHCO3), referring to Olsen et al. (1954)] for analyzing all Bavarian soil samples of the second German National Forest Soil Inventory (NFSI), resulting in a big data set with 342 forest sites and 2232 samples. We combined these results with the standardly gathered soil parameters and tested them as predictors for P nutrition indicated by the foliar P concentrations of the four most important tree species: Norway spruce (Picea abies), European beech (Fagus sylvatica), Scots pine (Pinus sylvestris) and pedunculate/sessile oak (Quercus robur/petraea). During the statistical process, we stepwise reduced the complexity of the prediction models. In our analyses, we achieved the best prediction of foliar P using soil information from the organic layer and mineral soil down to depths of 10 cm and 20 cm. Pcit stocks provided by far the best predictions in nearly all cases. Based on this parameter, we derived parametric regression functions to estimate the P nutrition (spruce: R2 = 0.52∗∗∗; beech: R2 = 0.49∗∗∗; pine: R2 = 0.39∗∗∗; oak: R2 = 0.35∗∗∗). Based on logistic regressions, threshold values were deduced for Pcit stocks down to 10 cm soil depth (spruce: 33 kg ha−1; beech: 43 kg ha−1; pine: 32 kg ha−1; oak: 41 kg ha−1), above which P deficiency becomes unlikely. Since these models are based on a large number of sites with diverse geologies and soil conditions, they can be used to estimate the P availability of most forests in Bavaria. Furthermore, the applied methods can be extended to other soil inventories. Estimated P availability based on such functions and thresholds can support sustainable nutrient management of temperate forests. © 2018 Elsevier B.V.
英文关键词Citric acid; European beech; Foliar phosphorus concentrations; Norway spruce; Pedunculate/sessile oak; Scots pine
语种英语
scopus关键词Big data; Citric acid; Digital storage; Extraction; Forecasting; Nutrients; Nutrition; Phosphorus; Plants (botany); Sodium bicarbonate; Soils; European beech; Norway spruce; Pedunculate/sessile oak; Phosphorus concentration; Scots pine; Forestry; citric acid; concentration (composition); deciduous tree; extraction method; forest ecosystem; forest soil; nitrogen; phosphorus; plant community; plant extract; soil chemistry; temperate forest; tree; Citric Acid; Extraction; Forecasts; Nutrients; Nutrition; Phosphorus; Bavaria; Europe; Germany; Fagus; Fagus sylvatica; Picea; Picea abies; Pinus sylvestris; Quercus
来源期刊Forest Ecology and Management
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/156324
作者单位Technical University of Munich, TUM School of Life Sciences, Professorship of Forest Nutrition and Water Resources, Hans-Carl-von-Carlowitz-Platz 2, Freising, 85354, Germany; Bavarian Institute of Forestry (LWF), Department Soil and Climate, Hans Carl-von-Carlowitz-Platz 1, Freising, 85354, Germany
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Fäth J.,Kohlpaintner M.,Blum U.,et al. Assessing phosphorus nutrition of the main European tree species by simple soil extraction methods[J],2019,432.
APA Fäth J.,Kohlpaintner M.,Blum U.,Göttlein A.,&Mellert K.H..(2019).Assessing phosphorus nutrition of the main European tree species by simple soil extraction methods.Forest Ecology and Management,432.
MLA Fäth J.,et al."Assessing phosphorus nutrition of the main European tree species by simple soil extraction methods".Forest Ecology and Management 432(2019).
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