Fine-root turnover rates of European forests revisited: an analysis of data from sequential coring and ingrowth cores

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F13%3A61797" target="_blank" >RIV/60460709:41320/13:61797 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fine-root turnover rates of European forests revisited: an analysis of data from sequential coring and ingrowth cores

Popis výsledku v původním jazyce

Forest trees directly contribute to carbon cycling in forest soils through the turnover of their fine roots. In this study we aimed to calculate root turnover rates of common European forest tree species and to compare them with most frequently publishedvalues. We compiled available European data and applied various turnover rate calculation methods to the resulting database. We used Decision Matrix and Maximum-Minimum formula as suggested in the literature. Mean turnover rates obtained by the combination of sequential coring and Decision Matrix were 0.86 yr(-1) for Fagus sylvatica and 0.88 yr(-1) for Picea abies when maximum biomass data were used for the calculation, and 1.11 yr(-1) for both species when mean biomass data were used. Using mean biomass rather than maximum resulted in about 30 % higher values of root turnover. Using the Decision Matrix to calculate turnover rate doubled the rates when compared to the Maximum-Minimum formula. The Decision Matrix, however, makes use of

Název v anglickém jazyce

Fine-root turnover rates of European forests revisited: an analysis of data from sequential coring and ingrowth cores

Popis výsledku anglicky

Forest trees directly contribute to carbon cycling in forest soils through the turnover of their fine roots. In this study we aimed to calculate root turnover rates of common European forest tree species and to compare them with most frequently publishedvalues. We compiled available European data and applied various turnover rate calculation methods to the resulting database. We used Decision Matrix and Maximum-Minimum formula as suggested in the literature. Mean turnover rates obtained by the combination of sequential coring and Decision Matrix were 0.86 yr(-1) for Fagus sylvatica and 0.88 yr(-1) for Picea abies when maximum biomass data were used for the calculation, and 1.11 yr(-1) for both species when mean biomass data were used. Using mean biomass rather than maximum resulted in about 30 % higher values of root turnover. Using the Decision Matrix to calculate turnover rate doubled the rates when compared to the Maximum-Minimum formula. The Decision Matrix, however, makes use of

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Plant and Soil

ISSN

0032-079X

e-ISSN

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Svazek periodika

362

Číslo periodika v rámci svazku

1-2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

357-372

Kód UT WoS článku

000312729400028

EID výsledku v databázi Scopus

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