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Statements

Subject Item
n2:RIV%2F60460709%3A41320%2F14%3A65891%21RIV15-MZE-41320___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
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 explained most of the 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 explained most of the
dcterms:title
Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences
skos:prefLabel
Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences
skos:notation
RIV/60460709:41320/14:65891!RIV15-MZE-41320___
n3:aktivita
n15:P
n3:aktivity
P(QJ1220317)
n3:cisloPeriodika
328
n3:dodaniDat
n11:2015
n3:domaciTvurceVysledku
n4:5699819 n4:9802193 n4:8683964 n4:5053285 n4:5027241
n3:druhVysledku
n16:J
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
17795
n3:idVysledku
RIV/60460709:41320/14:65891
n3:jazykVysledku
n8:eng
n3:klicovaSlova
Biome-BGC model, SIBYLA model, Multi-model inference, Climate change scenario, Uncertainty, Mountain forests
n3:klicoveSlovo
n6:SIBYLA%20model n6:Mountain%20forests n6:Climate%20change%20scenario n6:Biome-BGC%20model n6:Uncertainty n6:Multi-model%20inference
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[AE2662B59517]
n3:nazevZdroje
Forest Ecology and Management
n3:obor
n7:GK
n3:pocetDomacichTvurcuVysledku
5
n3:pocetTvurcuVysledku
10
n3:projekt
n9:QJ1220317
n3:rokUplatneniVysledku
n11:2014
n3:svazekPeriodika
2014
n3:tvurceVysledku
Fabrika, Marek Hlásny, Tomáš Pajtík, Jozef Barka, Ivan Churkina, Galina Kern, Aniko Balázs, Borbála Barcza, Zoltán Merganičová, Katarína Sedmák, Róbert
n3:wos
000341340100007
s:issn
0378-1127
s:numberOfPages
14
n13:organizacniJednotka
41320