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Spatial heterogeneity of CO2 efflux and optimization of the number of measurement positions

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00459669" target="_blank" >RIV/86652079:_____/16:00459669 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1016/j.ejsobi.2016.05.004" target="_blank" >http://dx.doi.org/10.1016/j.ejsobi.2016.05.004</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ejsobi.2016.05.004" target="_blank" >10.1016/j.ejsobi.2016.05.004</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Spatial heterogeneity of CO2 efflux and optimization of the number of measurement positions

  • Popis výsledku v původním jazyce

    CO2 efflux from a soil surface is usually highly heterogeneous. This can make difficulties in its estimationnfor the whole investigated site. Therefore, the aims of this study were to determine the spatial heterogeneitynof CO2 efflux in four different ecosystems, and to determine the minimum sample size requirednto effectively estimate CO2 efflux from the studied area.nCO2 efflux was measured at 30 to 64 positions in a spruce forest, a beech forest, a grassland and anwetland during several campaigns. Mean CO2 efflux normalized for temperature of 10 C ranged betweenn1.37 and 3.57 mmolCO2 m 2 s 1, while the highest values were observed for the spruce forest and thenlowest for the wetland, where soil respiration processes were reduced by high soil water content. Thenspatial heterogeneity of CO2 efflux ranged between 15 and 57%, with lowest values for the grasslandnecosystem and the highest for the wetland. We found a decrease in CO2 efflux with increasing soilnmoisture at the forest sites and the wetland. At the forest sites this effect was not caused by oxygennlimitation or high soil water content, but can be attributed to other soil properties co-varying with soilnwater content. At the grassland site, the heterogeneity of CO2 efflux was mainly affected by grass height.nThe minimum number of measurement positions was determined by calculating the SD of a thousandnrandom selections for different numbers of sample positions (n 5e55). The minimum number ofnpositions was the n value which displayed a SD that was 5% of the mean R10 from the whole data set.nThe minimum number of positions ranged from between 9 and 35 and it increased with increasingnheterogeneity. This relationship was fit by a sigmoid regression.

  • Název v anglickém jazyce

    Spatial heterogeneity of CO2 efflux and optimization of the number of measurement positions

  • Popis výsledku anglicky

    CO2 efflux from a soil surface is usually highly heterogeneous. This can make difficulties in its estimationnfor the whole investigated site. Therefore, the aims of this study were to determine the spatial heterogeneitynof CO2 efflux in four different ecosystems, and to determine the minimum sample size requirednto effectively estimate CO2 efflux from the studied area.nCO2 efflux was measured at 30 to 64 positions in a spruce forest, a beech forest, a grassland and anwetland during several campaigns. Mean CO2 efflux normalized for temperature of 10 C ranged betweenn1.37 and 3.57 mmolCO2 m 2 s 1, while the highest values were observed for the spruce forest and thenlowest for the wetland, where soil respiration processes were reduced by high soil water content. Thenspatial heterogeneity of CO2 efflux ranged between 15 and 57%, with lowest values for the grasslandnecosystem and the highest for the wetland. We found a decrease in CO2 efflux with increasing soilnmoisture at the forest sites and the wetland. At the forest sites this effect was not caused by oxygennlimitation or high soil water content, but can be attributed to other soil properties co-varying with soilnwater content. At the grassland site, the heterogeneity of CO2 efflux was mainly affected by grass height.nThe minimum number of measurement positions was determined by calculating the SD of a thousandnrandom selections for different numbers of sample positions (n 5e55). The minimum number ofnpositions was the n value which displayed a SD that was 5% of the mean R10 from the whole data set.nThe minimum number of positions ranged from between 9 and 35 and it increased with increasingnheterogeneity. This relationship was fit by a sigmoid regression.

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    EH - Ekologie – společenstva

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 - Rozvoj Centra pro studium dopadů globální změny klimatu</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    European Journal of Soil Biology

  • ISSN

    1164-5563

  • e-ISSN

  • Svazek periodika

    75

  • Číslo periodika v rámci svazku

    JUL

  • Stát vydavatele periodika

    FR - Francouzská republika

  • Počet stran výsledku

    12

  • Strana od-do

    123-134

  • Kód UT WoS článku

    000381650400016

  • EID výsledku v databázi Scopus

    2-s2.0-84969856792