Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F14%3A65891" target="_blank" >RIV/60460709:41320/14:65891 - 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

Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences

Popis výsledku v původním jazyce

Although mountain Norway spruce forests may act as powerful carbon (C) sinks, the complexity of climate change effects on their C cycle remains unclear. In the current study, we combined the simulations produced by the process-based model Biome-BGC and the empirical model SIBYLA in order to predict the future C cycle in the spruce-dominated mountain forest stand in Central Europe. Annual data for tree height and diameter from 1997?2010 were used for models calibration. Observed climate data from 1939?2009 were transiently coupled with four climate change scenarios for the period 2010?2100. For the assessment of climate change effects, stable reference climate data were generated for 2010?2100. Because future forest mortality can follow different trajectories, Biome-BGC was run with three plausible mortality assumptions. Factorial Analysis of Variance based on Generalized Linear Models was used to dissect the total variability of produced estimates and to determine which factors explain

Název v anglickém jazyce

Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences

Popis výsledku anglicky

Although mountain Norway spruce forests may act as powerful carbon (C) sinks, the complexity of climate change effects on their C cycle remains unclear. In the current study, we combined the simulations produced by the process-based model Biome-BGC and the empirical model SIBYLA in order to predict the future C cycle in the spruce-dominated mountain forest stand in Central Europe. Annual data for tree height and diameter from 1997?2010 were used for models calibration. Observed climate data from 1939?2009 were transiently coupled with four climate change scenarios for the period 2010?2100. For the assessment of climate change effects, stable reference climate data were generated for 2010?2100. Because future forest mortality can follow different trajectories, Biome-BGC was run with three plausible mortality assumptions. Factorial Analysis of Variance based on Generalized Linear Models was used to dissect the total variability of produced estimates and to determine which factors explain

Druh

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

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

<a href="/cs/project/QJ1220317" target="_blank" >QJ1220317: Integrované hodnocení dopadů hmyzích škůdců a houbových patogenů na smrkové porosty ČR jako východisko pro jejich operativní management</a><br>

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Forest Ecology and Management

ISSN

0378-1127

e-ISSN

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Svazek periodika

2014

Číslo periodika v rámci svazku

328

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

55-68

Kód UT WoS článku

000341340100007

EID výsledku v databázi Scopus

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