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Microbiome assembly in thawing permafrost and its feedbacks to climate

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F22%3A43905104" target="_blank" >RIV/60076658:12310/22:43905104 - isvavai.cz</a>

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16231" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/gcb.16231</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/gcb.16231" target="_blank" >10.1111/gcb.16231</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Microbiome assembly in thawing permafrost and its feedbacks to climate

  • Original language description

    The physical and chemical changes that accompany permafrost thaw directly influence the microbial communities that mediate the decomposition of formerly frozen organic matter, leading to uncertainty in permafrost-climate feedbacks. Although changes to microbial metabolism and community structure are documented following thaw, the generality of post-thaw assembly patterns across permafrost soils of the world remains uncertain, limiting our ability to predict biogeochemistry and microbial community responses to climate change. Based on our review of the Arctic microbiome, permafrost microbiology, and community ecology, we propose that Assembly Theory provides a framework to better understand thaw-mediated microbiome changes and the implications for community function and climate feedbacks. This framework posits that the prevalence of deterministic or stochastic processes indicates whether the community is well-suited to thrive in changing environmental conditions. We predict that on a short timescale and following high-disturbance thaw (e.g., thermokarst), stochasticity dominates post-thaw microbiome assembly, suggesting that functional predictions will be aided by detailed information about the microbiome. At a longer timescale and lower-intensity disturbance (e.g., active layer deepening), deterministic processes likely dominate, making environmental parameters sufficient for predicting function. We propose that the contribution of stochastic and deterministic processes to post-thaw microbiome assembly depends on the characteristics of the thaw disturbance, as well as characteristics of the microbial community, such as the ecological and phylogenetic breadth of functional guilds, their functional redundancy, and biotic interactions. These propagate across space and time, potentially providing a means for predicting the microbial forcing of greenhouse gas feedbacks to global climate change.

  • 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

    40104 - Soil science

Result continuities

  • Project

    <a href="/en/project/GC20-21259J" target="_blank" >GC20-21259J: CRYOVULCAN - Vulnerability of carbon in Cryosols – substrate-microorganisms-aggregate interactions</a><br>

  • Continuities

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

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

    Global Change Biology

  • ISSN

    1354-1013

  • e-ISSN

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    17

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    5007-5026

  • UT code for WoS article

    000812967000001

  • EID of the result in the Scopus database

    2-s2.0-85132331526