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Toward a function-first framework to make soil microbial ecology predictive

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F22%3A94384" target="_blank" >RIV/60460709:41320/22:94384 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41320/21:89618

  • Result on the web

    <a href="https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.3594" target="_blank" >https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.3594</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/ecy.3594" target="_blank" >10.1002/ecy.3594</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Toward a function-first framework to make soil microbial ecology predictive

  • Original language description

    Soil microbial communities perform vital ecosystem functions, such as the decomposition of organic matter to provide plant nutrition. However, despite the functional importance of soil microorganisms, attribution of ecosystem function to particular constituents of the microbial community has been impeded by a lack of information linking microbial function to community composition and structure. Here, we propose a function-first framework to predict how microbial communities influence ecosystem functions. We first view the microbial community associated with a specific function as a whole and describe the dependence of microbial functions on environmental factors (e.g., the intrinsic temperature dependence of bacterial growth rates). This step defines the aggregate functional response curve of the community. Second, the contribution of the whole community to ecosystem function can be predicted, by combining the functional response curve with current environmental conditions. Functional response curves

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Ecology

  • ISSN

    0012-9658

  • e-ISSN

  • Volume of the periodical

    103

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    1-9

  • UT code for WoS article

    000730123300001

  • EID of the result in the Scopus database

    2-s2.0-85121440233