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Impacts of management and changed hydrology on soil microbial communities in a floodplain forest

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00603322" target="_blank" >RIV/86652079:_____/24:00603322 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43410/24:43926298 RIV/44555601:13440/25:43899710 RIV/44555601:13520/25:43899710

  • Result on the web

    <a href="https://jfs.agriculturejournals.cz/artkey/jfs-202411-0001_impacts-of-management-and-changed-hydrology-on-soil-microbial-communities-in-a-floodplain-forest.php" target="_blank" >https://jfs.agriculturejournals.cz/artkey/jfs-202411-0001_impacts-of-management-and-changed-hydrology-on-soil-microbial-communities-in-a-floodplain-forest.php</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/44/2024-JFS" target="_blank" >10.17221/44/2024-JFS</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Impacts of management and changed hydrology on soil microbial communities in a floodplain forest

  • Original language description

    Long-term human activities substantially altered floodplain regions of temperate Europe. Forest management and extensive changes in hydrology greatly affected natural floodplain soil properties, in which microbes play key roles. This study aims to assess the effects of human activities through a gradient of forest management intensity on soil microbial community (SMC), its biomass, activity, and structure. Soil chemical and physical-chemical properties were used to explain the general associations and within-site variation using principal component analysis (PCA), linear regression (LR) and linear mixed-effect regression (LMER) models. It was found that forest management application, regardless of its intensity, led to significant microbial biomass reduction. PCA revealed that microbial biomass, expressed as a sum of phospholipid fatty acids along with recalcitrant carbon fraction (ROC) best explained the variability in data. LR and LMER highlighted that bacteria are affected by floodplain forest management more than fungi, and that bacterial response to pH was highly diversified. Also, pH was identified as the best predictor of SMC structure and activity but not of its size. The study calls for further investigation in SMC interactions with ROC, soil-available Fe and Mn, and the role of redox-active metals in soil organic carbon degradation.

  • 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

    40102 - Forestry

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Forest Science

  • ISSN

    1212-4834

  • e-ISSN

    1805-935X

  • Volume of the periodical

    70

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    19

  • Pages from-to

    574-592

  • UT code for WoS article

    001359728200001

  • EID of the result in the Scopus database

    2-s2.0-85211056082