An inter-laboratory comparison of gaseous and liquid fumigation based methods for measuring microbial phosphorus (P mic ) in forest soils with differing P stocks

Bergkemper, Fabian; Bünemann, Else K.; Hauenstein, Simon; Heuck, Christine; Kandeler, Ellen; Krüger, Jaane; Marhan, Sven; Mészáros, Éva; Nassal, Dinah; Nassal, Pascal; Oelmann, Yvonne; Pistocchi, Chiara; Schloter, Michael; Spohn, Marie; Talkner, Ulrike; Zederer, Dan P.; Schulz, Stefanie

doi:10.1016/j.mimet.2016.07.006

Cited by 15 publications

(11 citation statements)

References 18 publications

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“…This pattern seems to disagree with the findings of field studies of 15 N addition (e.g. Bloor et al, 2009;Dannenmann et al, 2016) and a modelling study using the same approach to simulate competition (Zhu et al, 2017). The reason for this disagreement is that in JSM, we assumed high microbial N use efficiency from DOM, and the majority of microbial N assimilation was actually fulfilled by DOM uptake.…”

Section: Key Features and Model Limitationscontrasting

confidence: 64%

“…The organic P fraction of total P also decreases from 67 % in the organic layer to 13 % at 1 m depth. The microbial C content decreases from > 2000 µg C g −1 soil C in the forest floor (Zederer et al, 2017) to 764 µg C g −1 soil C in the top mineral soil (Bergkemper et al, 2016). The microbial biomass shows a C : N ratio of 13 and a very low C : P ratio of 10.3 (Lang et al, 2017).…”

Section: Site Description and Data For Model Analysismentioning

confidence: 98%

“…The N and P contents of the SOM pools were initialised using the stoichiometry of different pools. For litter pools, we adapted the litter stoichiometry from the QUINCY model ; for microbes and microbial residues, we used the measured microbial stoichiometry (Bergkemper et al, 2016), and for other SOM pools, we used the measured average SOM stoichiometry of the 1 m soil profile (Lang et al, 2017). All SOC profiles were initialised with a pre-industrial 14 C values for all C pools, from which the 14 C values were developed.…”

Section: Model Protocol Model Experiments and Sensitivity Analysis 2mentioning

confidence: 99%

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Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

Ahrens

Wutzler

et al. 2020

Geosci. Model Dev.

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Plant-soil interactions, such as the coupling of plants' below-ground biomass allocation with soil organic matter (SOM) decomposition, nutrient release and plant uptake, are essential to understand the response of carbon (C) cycling to global changes. However, these processes are poorly represented in the current terrestrial biosphere models owing to the simple first-order approach of SOM cycling and the ignorance of variations within a soil profile. While the emerging microbially explicit soil organic C models can better describe C formation and turnover, at present, they lack

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Section: Key Features and Model Limitationscontrasting

confidence: 64%

Section: Site Description and Data For Model Analysismentioning

confidence: 98%

Section: Model Protocol Model Experiments and Sensitivity Analysis 2mentioning

confidence: 99%

See 1 more Smart Citation

Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

Ahrens

Wutzler

et al. 2020

Geosci. Model Dev.

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“…We used hexanol, because it is less hazardous and as effective as chloroform ( McLaughlin et al, ). Noteworthy, Bergkemper et al () reported lower P mic concentrations of hexanol fumigation as compared to chloroform fumigation calling for cautious comparisons among different fumigation agents. Bünemann et al () showed that neither the P concentration nor the specific activity of 33 P in resin‐extractable P were affected by the presence of hexanol during extraction and that the addition of plant residues ( e.g ., roots) did not represent a source of error for the determination of P mic by hexanol fumigation of soils.…”

Section: Methodsmentioning

confidence: 99%

The role of soil chemical properties, land use and plant diversity for microbial phosphorus in forest and grassland soils

Sorkau

Boch

Boeddinghaus

et al. 2017

J. Plant Nutr. Soil Sci.

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Management intensity modifies soil properties, e.g., organic carbon (Corg) concentrations and soil pH with potential feedbacks on plant diversity. These changes might influence microbial P concentrations (Pmic) in soil representing an important component of the P cycle. Our objectives were to elucidate whether abiotic and biotic variables controlling Pmic concentrations in soil are the same for forests and grasslands, and to assess the effect of region and management on Pmic concentrations in forest and grassland soils as mediated by the controlling variables. In three regions of Germany, Schwäbische Alb, Hanich‐Dün, and Schorfheide‐Chorin, we studied forest and grassland plots (each n = 150) differing in plant diversity and land‐use intensity. In contrast to controls of microbial biomass carbon (Cmic), Pmic was strongly influenced by soil pH, which in turn affected phosphorus (P) availability and thus microbial P uptake in forest and grassland soils. Furthermore, Pmic concentrations in forest and grassland soils increased with increasing plant diversity. Using structural equation models, we could show that soil Corg is the profound driver of plant diversity effects on Pmic in grasslands. For both forest and grassland, we found regional differences in Pmic attributable to differing environmental conditions (pH, soil moisture). Forest management and tree species showed no effect on Pmic due to a lack of effects on controlling variables (e.g., Corg). We also did not find management effects in grassland soils which might be caused by either compensation of differently directed effects across sites or by legacy effects of former fertilization constraining the relevance of actual practices. We conclude that variables controlling Pmic or Cmic in soil differ in part and that regional differences in controlling variables are more important for Pmic in soil than those induced by management.

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“…The assessment of specific biogeochemical and biological processes involved in the P cycle remains challenging due to the high susceptibility to decay displayed by several ecologically important molecular forms of P and related biogeochemical compounds . This may change with the great headway being made with speciation of P forms in soil on the molecular level and the detailed assessment of microbial P fractions . Most of the sources reviewed in this publication are concerned with specific parts of the P cycle and therefore only contain part of the data necessary to construct a complete site‐specific P balance.…”

Section: Introductionmentioning

confidence: 99%

Quantifying components of the phosphorus cycle in temperate forests

2017

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We review the state-of-the-art of cross-disciplinary knowledge on phosphorus (P) cycling in temperate forest ecosystems, focused at studies from hydrology, biology, biogeochemistry, soil-, and geosciences. Changes in soil P stocks during long-term ecosystem development are addressed briefly; the general ranges of specific P pools and P fluxes within the ecosystem and the presumed underlying processes are covered more in depth. Wherever possible, we differentiate between coniferous and deciduous forests. As the most important P pools, mineral soil, forest floor, vegetation, and microbial biomass are described in terms of pool size, molecular composition, and turnover. Litterfall, soil water seepage, atmospheric deposition, and biotic uptake as the most studied P fluxes in the forest ecosystem are discussed in detail, spotlighting biogeochemical processes relevant for mobilization and retention of P in the rooting zone. Through a metaanalysis of available literature, we build a dataset that allows the quantification of major P-cycle components in temperate forests in terms of range and distribution, highlighting similarities and differences between coniferous and deciduous forests. The two forest types are notably distinct in their distribution of P within compartments of the plant biomass and forest floor. The possibility to construct closed local P balances is often hindered by missing information on fluxes of dissolved and particulate P across the ecosystem boundary, be it in the atmosphere, soil, or on the surface. These fluxes are irregular in space and time and feature large overall mass fluxes but comparatively small P fluxes, making the latter one difficult to quantify.

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An inter-laboratory comparison of gaseous and liquid fumigation based methods for measuring microbial phosphorus (P mic ) in forest soils with differing P stocks

Cited by 15 publications

References 18 publications

Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

The role of soil chemical properties, land use and plant diversity for microbial phosphorus in forest and grassland soils

Quantifying components of the phosphorus cycle in temperate forests

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