. "Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences"@en . "Fabrika, Marek" . "Hl\u00E1sny, Tom\u00E1\u0161" . . "Pajt\u00EDk, Jozef" . . . "Forest Ecology and Management" . . "Barka, Ivan" . . "Churkina, Galina" . . . . "Kern, Aniko" . . "2014" . "Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences" . . . . "P(QJ1220317)" . . "[AE2662B59517]" . "41320" . . "RIV/60460709:41320/14:65891" . "Biome-BGC model, SIBYLA model, Multi-model inference, Climate change scenario, Uncertainty, Mountain forests"@en . "328" . "Bal\u00E1zs, Borb\u00E1la" . "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\u20132010 were used for models calibration. Observed climate data from 1939\u20132009 were transiently coupled with four climate change scenarios for the period 2010\u20132100. For the assessment of climate change effects, stable reference climate data were generated for 2010\u20132100. 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" . . "17795" . . . . "NL - Nizozemsko" . "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\u20132010 were used for models calibration. Observed climate data from 1939\u20132009 were transiently coupled with four climate change scenarios for the period 2010\u20132100. For the assessment of climate change effects, stable reference climate data were generated for 2010\u20132100. 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"@en . . "000341340100007" . . "10"^^ . "0378-1127" . "Barcza, Zolt\u00E1n" . "RIV/60460709:41320/14:65891!RIV15-MZE-41320___" . "14"^^ . "Mergani\u010Dov\u00E1, Katar\u00EDna" . "Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences"@en . "Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences" . . "Sedm\u00E1k, R\u00F3bert" . "5"^^ .