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Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00554375" target="_blank" >RIV/86652079:_____/22:00554375 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.16050" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcb.16050</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/gcb.16050" target="_blank" >10.1111/gcb.16050</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems

  • Popis výsledku v původním jazyce

    Understanding the critical soil moisture (SM) threshold (theta(crit)) of plant water stress and land surface energy partitioning is a basis to evaluate drought impacts and improve models for predicting future ecosystem condition and climate. Quantifying the theta(crit) across biomes and climates is challenging because observations of surface energy fluxes and SM remain sparse. Here, we used the latest database of eddy covariance measurements to estimate theta(crit) across Europe by evaluating evaporative fraction (EF)-SM relationships and investigating the covariance between vapor pressure deficit (VPD) and gross primary production (GPP) during SM dry-down periods. We found that the theta(crit) and soil matric potential threshold in Europe are 16.5% and0.7 MPa, respectively. Surface energy partitioning characteristics varied among different vegetation types, EF in savannas had the highest sensitivities to SM in water-limited stage, and the lowest in forests. The sign of the covariance between daily VPD and GPP consistently changed from positive to negative during dry-down across all sites when EF shifted from relatively high to low values. This sign of the covariance changed after longer period of SM decline in forests than in grasslands and savannas. Estimated theta(crit) from the VPD-GPP covariance method match well with the EF-SM method, showing this covariance method can be used to detect the theta(crit). We further found that soil texture dominates the spatial variability of theta(crit) while shortwave radiation and VPD are the major drivers in determining the spatial pattern of EF sensitivities. Our results highlight for the first time that the sign change of the covariance between daily VPD and GPP can be used as an indicator of how ecosystems transition from energy to SM limitation. We also characterized the corresponding theta(crit) and its drivers across diverse ecosystems in Europe, an essential variable to improve the representation of water stress in land surface models.

  • Název v anglickém jazyce

    Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems

  • Popis výsledku anglicky

    Understanding the critical soil moisture (SM) threshold (theta(crit)) of plant water stress and land surface energy partitioning is a basis to evaluate drought impacts and improve models for predicting future ecosystem condition and climate. Quantifying the theta(crit) across biomes and climates is challenging because observations of surface energy fluxes and SM remain sparse. Here, we used the latest database of eddy covariance measurements to estimate theta(crit) across Europe by evaluating evaporative fraction (EF)-SM relationships and investigating the covariance between vapor pressure deficit (VPD) and gross primary production (GPP) during SM dry-down periods. We found that the theta(crit) and soil matric potential threshold in Europe are 16.5% and0.7 MPa, respectively. Surface energy partitioning characteristics varied among different vegetation types, EF in savannas had the highest sensitivities to SM in water-limited stage, and the lowest in forests. The sign of the covariance between daily VPD and GPP consistently changed from positive to negative during dry-down across all sites when EF shifted from relatively high to low values. This sign of the covariance changed after longer period of SM decline in forests than in grasslands and savannas. Estimated theta(crit) from the VPD-GPP covariance method match well with the EF-SM method, showing this covariance method can be used to detect the theta(crit). We further found that soil texture dominates the spatial variability of theta(crit) while shortwave radiation and VPD are the major drivers in determining the spatial pattern of EF sensitivities. Our results highlight for the first time that the sign change of the covariance between daily VPD and GPP can be used as an indicator of how ecosystems transition from energy to SM limitation. We also characterized the corresponding theta(crit) and its drivers across diverse ecosystems in Europe, an essential variable to improve the representation of water stress in land surface models.

Klasifikace

  • Druh

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

  • CEP obor

  • OECD FORD obor

    10509 - Meteorology and atmospheric sciences

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Global Change Biology

  • ISSN

    1354-1013

  • e-ISSN

    1365-2486

  • Svazek periodika

    28

  • Číslo periodika v rámci svazku

    6

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    12

  • Strana od-do

    2111-2123

  • Kód UT WoS článku

    000735992200001

  • EID výsledku v databázi Scopus

    2-s2.0-85122157145