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Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F21%3A00548047" target="_blank" >RIV/86652079:_____/21:00548047 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/62156489:43410/21:43920469 RIV/62156489:43210/21:43920469

  • Výsledek na webu

    <a href="https://www.mdpi.com/2073-4433/12/9/1128" target="_blank" >https://www.mdpi.com/2073-4433/12/9/1128</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/atmos12091128" target="_blank" >10.3390/atmos12091128</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests

  • Popis výsledku v původním jazyce

    The strong effects of climate change are expected to negatively impact the long-term resilience and function of forest ecosystems, which could lead to changes in forest carbon balance and productivity. However, these forest responses may vary with local conditions and forest types. Accordingly, this study was carried out to determine gross primary productivity (GPP) sensitivity to changes in environmental parameters. Central European beech (at Stitna) and spruce species (at Bily Kriz and Rajec), growing under contrasting climatic conditions, were studied. The comparative analyses of GPP were based on a five-year-long dataset of eddy covariance fluxes during the main growing season (2012-2016). Results of forest GPP responses with changes in environmental factors from a traditional Stepwise multiple linear regression model (SMLR) were used and compared with Random forest (RF) analyses. To demonstrate how actual GPP trends compare to potential GPP (GPP(pot)) courses expected under near-optimal environmental conditions, we computed normalized GPP (GPP(norm)) with values between 0 and 1 as the ratio of the estimated daily sum of GPP to GPP(pot). The study confirmed the well-known effect of total intensity of the photosynthetically active radiation and its diffuse fraction on GPP(norm) across all the forest types. However, the study also showed the secondary effects of other environmental variables on forest productivity depending on the species and local climatic conditions. The reduction in forest productivity at the beech forest in Stitna was presumed to be mainly induced by edaphic drought (anisohydric behaviour). In contrast, reduced forest productivity at the spruce forest sites was presumably induced by both meteorological and hydrological drought events, especially at the moderately dry climate in Rajec. Overall, our analyses call for more studies on forest productivity across different forest types and contrasting climatic conditions, as this productivity is strongly dependent on species type and site-specific environmental conditions.

  • Název v anglickém jazyce

    Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests

  • Popis výsledku anglicky

    The strong effects of climate change are expected to negatively impact the long-term resilience and function of forest ecosystems, which could lead to changes in forest carbon balance and productivity. However, these forest responses may vary with local conditions and forest types. Accordingly, this study was carried out to determine gross primary productivity (GPP) sensitivity to changes in environmental parameters. Central European beech (at Stitna) and spruce species (at Bily Kriz and Rajec), growing under contrasting climatic conditions, were studied. The comparative analyses of GPP were based on a five-year-long dataset of eddy covariance fluxes during the main growing season (2012-2016). Results of forest GPP responses with changes in environmental factors from a traditional Stepwise multiple linear regression model (SMLR) were used and compared with Random forest (RF) analyses. To demonstrate how actual GPP trends compare to potential GPP (GPP(pot)) courses expected under near-optimal environmental conditions, we computed normalized GPP (GPP(norm)) with values between 0 and 1 as the ratio of the estimated daily sum of GPP to GPP(pot). The study confirmed the well-known effect of total intensity of the photosynthetically active radiation and its diffuse fraction on GPP(norm) across all the forest types. However, the study also showed the secondary effects of other environmental variables on forest productivity depending on the species and local climatic conditions. The reduction in forest productivity at the beech forest in Stitna was presumed to be mainly induced by edaphic drought (anisohydric behaviour). In contrast, reduced forest productivity at the spruce forest sites was presumably induced by both meteorological and hydrological drought events, especially at the moderately dry climate in Rajec. Overall, our analyses call for more studies on forest productivity across different forest types and contrasting climatic conditions, as this productivity is strongly dependent on species type and site-specific environmental conditions.

Klasifikace

  • Druh

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

  • CEP obor

  • OECD FORD obor

    10618 - Ecology

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LM2018123" target="_blank" >LM2018123: CzeCOS</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Atmosphere

  • ISSN

    2073-4433

  • e-ISSN

    2073-4433

  • Svazek periodika

    12

  • Číslo periodika v rámci svazku

    9

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    25

  • Strana od-do

    1128

  • Kód UT WoS článku

    000699427200001

  • EID výsledku v databázi Scopus

    2-s2.0-85114459863