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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

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

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • 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

    10618 - Ecology

Result continuities

  • Project

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

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Atmosphere

  • ISSN

    2073-4433

  • e-ISSN

    2073-4433

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    25

  • Pages from-to

    1128

  • UT code for WoS article

    000699427200001

  • EID of the result in the Scopus database

    2-s2.0-85114459863