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Species identity improves soil respiration predictions in a semiarid scrubland

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F20%3A43901316" target="_blank" >RIV/60076658:12310/20:43901316 - isvavai.cz</a>

  • Alternative codes found

    RIV/60077344:_____/20:00525374

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0016706119315988?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706119315988?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.geoderma.2019.114153" target="_blank" >10.1016/j.geoderma.2019.114153</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Species identity improves soil respiration predictions in a semiarid scrubland

  • Original language description

    Soil respiration accounts for ca. three quarters of total ecosystem respiration and is sensitive to temperature and moisture. Plants can influence soil CO2 emissions through specific effects on soil humidity, soil temperature and soil microbial communities. These plant-soil effects mostly come via litter production and root exudates, enhancing soil autotrophic and heterotrophic respiration. We explored how plant species affected soil CO2 emissions in an arid environment. We altered soil temperature in bare soil and under the canopy of four plant species differing in functional type, and measured monthly fluxes to establish seasonal patterns of CO2 release along a 20-month period. We found that soil temperature explained 69% of the annual soil respiration (SR) variance, while soil water content explained 71% of SR variance. When we included plant species identity in the model, soil temperature and soil water content explained 76% and 81% of SR variance, respectively, exemplifying how plant species modulate SR responses as a function of temperature and water availability. Our results demonstrate that plant species influence soil carbon balance and emphasize that species identity matters in dry ecosystems. SR dynamics in dry ecosystems can be accurately modelled with soil water and temperature as predictors, but models are more efficient if plant species identity is considered.

  • 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/LM2015078" target="_blank" >LM2015078: Czech Polar Research Infrastructure</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Geoderma

  • ISSN

    0016-7061

  • e-ISSN

  • Volume of the periodical

    363

  • Issue of the periodical within the volume

    APR 1 2020

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    9

  • Pages from-to

  • UT code for WoS article

    000515198500025

  • EID of the result in the Scopus database

    2-s2.0-85077494821