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Coupling the resource stoichiometry and microbial biomass turnover to predict nutrient mineralization and immobilization in soil

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F21%3A43903219" target="_blank" >RIV/60076658:12310/21:43903219 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/60077344:_____/21:00553028

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0016706120326392?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706120326392?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.geoderma.2020.114884" target="_blank" >10.1016/j.geoderma.2020.114884</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Coupling the resource stoichiometry and microbial biomass turnover to predict nutrient mineralization and immobilization in soil

  • Popis výsledku v původním jazyce

    The mineralization of organic nitrogen (N) and phosphorus (P) by the soil microbial biomass, as well as microbial immobilization of their mineral forms, can be predicted from differences between the stoichiometry of organic substrate and the nutrient demand of the microbial biomass. The accuracy of such predictions, however, decreases when the nutrient demand of microbial biomass changes in response to nutrient limitation or excess. We quantified net N and P mineralization/immobilization along gradients of organic substrate stoichiometry in a short-term (2-day) incubation experiment. Gradient of organic substrate stoichiometry (water extractable organic N and P concentrations) was created by mixing soils from two spruce forest soils (from both litter and organic topsoil horizons) at five different ratios. Biological predictors (i.e., microbial carbon (C) use efficiency and microbial biomass C, N, and P) of net nutrient mineralization/immobilization were quantified, and theoretical N and P mineralization/immobilization rates were predicted using known stoichiometric relationship. Measured net N and P immobilization was lower than that predicted. Extended mathematical modelling in combination with stable isotope analysis showed that the capability of microbial community to reduce its demand for external nutrients was responsible for the difference between the predictions and observations. Active part of microbial community instantly recycled N from decaying part of microbial community and very likely utilized internal P sources (i.e. polyphosphates) when the abundance of N and P in available organic compounds was insufficient. Our results suggest that the N recycling from dead microbial biomass and the internal microbial P sources warrant further investigation. Including these mechanisms in soil biogeochemical models based on ecological stoichiometry principles could improve their predictive accuracy.

  • Název v anglickém jazyce

    Coupling the resource stoichiometry and microbial biomass turnover to predict nutrient mineralization and immobilization in soil

  • Popis výsledku anglicky

    The mineralization of organic nitrogen (N) and phosphorus (P) by the soil microbial biomass, as well as microbial immobilization of their mineral forms, can be predicted from differences between the stoichiometry of organic substrate and the nutrient demand of the microbial biomass. The accuracy of such predictions, however, decreases when the nutrient demand of microbial biomass changes in response to nutrient limitation or excess. We quantified net N and P mineralization/immobilization along gradients of organic substrate stoichiometry in a short-term (2-day) incubation experiment. Gradient of organic substrate stoichiometry (water extractable organic N and P concentrations) was created by mixing soils from two spruce forest soils (from both litter and organic topsoil horizons) at five different ratios. Biological predictors (i.e., microbial carbon (C) use efficiency and microbial biomass C, N, and P) of net nutrient mineralization/immobilization were quantified, and theoretical N and P mineralization/immobilization rates were predicted using known stoichiometric relationship. Measured net N and P immobilization was lower than that predicted. Extended mathematical modelling in combination with stable isotope analysis showed that the capability of microbial community to reduce its demand for external nutrients was responsible for the difference between the predictions and observations. Active part of microbial community instantly recycled N from decaying part of microbial community and very likely utilized internal P sources (i.e. polyphosphates) when the abundance of N and P in available organic compounds was insufficient. Our results suggest that the N recycling from dead microbial biomass and the internal microbial P sources warrant further investigation. Including these mechanisms in soil biogeochemical models based on ecological stoichiometry principles could improve their predictive accuracy.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    40104 - Soil science

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA19-16605S" target="_blank" >GA19-16605S: Mezioborová studie cyklu prvků v horských jezerech a jejich lesních povodích zmlazujících se po odumření stromového patra</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Geoderma

  • ISSN

    0016-7061

  • e-ISSN

  • Svazek periodika

    385

  • Číslo periodika v rámci svazku

    MAR 1 2021

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    10

  • Strana od-do

  • Kód UT WoS článku

    000609999200033

  • EID výsledku v databázi Scopus

    2-s2.0-85098466703