Article (Scientific journals)
Testing the applicability of BIOME-BGC to simulate beech gross primary production in Europe using a new continental weather dataset
Chiesi, M.; Chirici, G.; Marchetti, M. et al.
2016In Annals of Forest Science, 73 (3), p. 713-727
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Keywords :
Beech forest; BIOME-BGC; Eddy covariance; GPP; Weather dataset; Fagus
Abstract :
[en] Key message: A daily 1-km Pan-European weather dataset can drive the BIOME-BGC model for the estimation of current and future beech gross primary production (GPP). Annual beech GPP is affected primarily by spring temperature and more irregularly by summer water stress. Context: The spread of beech forests in Europe enhances the importance of modelling and monitoring their growth in view of ongoing climate changes. Aims: The current paper assesses the capability of a biogeochemical model to simulate beech gross primary production (GPP) using a Pan-European 1-km weather dataset. Methods: The model BIOME-BGC is applied in four European forest ecosystems having different climatic conditions where the eddy covariance technique is used to measure water and carbon fluxes. The experiment is in three main steps. First, the accuracy of BIOME-BGC GPP simulations is assessed through comparison with flux observations. Second, the influence of two major meteorological drivers (spring minimum temperature and growing season dryness) on observed and simulated inter-annual GPP variations is analysed. Lastly, the impacts of two climate change scenarios on beech GPP are evaluated through statistical analyses of the ground data and model simulations. Results: The weather dataset can drive BIOME-BGC to simulate most of the beech GPP evolution in all four test areas. Both observed and simulated inter-annual GPP variations are mainly dependent on minimum temperature around the beginning of the growing season, while spring/summer dryness exerts a secondary role. BIOME-BGC can also reasonably predict the impacts of the examined climate change scenarios. Conclusion: The proposed modelling approach is capable of approximately reproducing spatial and temporal beech GPP variations and impacts of expected climate changes in the examined European sites. © 2016, INRA and Springer-Verlag France.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Chiesi, M.;  IBIMET-CNR, via Madonna del Piano 10, Sesto Fiorentino, FI, Italy
Chirici, G.;  Università degli Studi di Firenze, Via San Bonaventura, 13, Firenze, Italy
Marchetti, M.;  Università degli Studi del Molise, Contrada Fonte Lappone snc, Pesche, IS, Italy
Hasenauer, H.;  University of Natural Resources and Life Sciences, Peter-Jordan Straβe, 82, Vienna, Austria
Moreno, A.;  University of Natural Resources and Life Sciences, Peter-Jordan Straβe, 82, Vienna, Austria
Knohl, A.;  Bioclimatology, University of Göttingen, Büsgenweg 2, Göttingen, Germany
Matteucci, G.;  ISAFOM-CNR, Via Patacca 85, Ercolano, NA, Italy
Pilegaard, K.;  Technical University of Denmark, 2800 Kgs, Lyngby, Denmark
Granier, A.;  UMR Ecologie et Ecophysiologie Forestières, UMR1137, Inra-Université de Lorraine, Champenoux, France
Longdoz, Bernard  ;  Université de Liège > Ingénierie des biosystèmes (Biose) > Echanges Ecosystèmes - Atmosphère
Maselli, F.;  IBIMET-CNR, via Madonna del Piano 10, Sesto Fiorentino, FI, Italy
Language :
English
Title :
Testing the applicability of BIOME-BGC to simulate beech gross primary production in Europe using a new continental weather dataset
Publication date :
2016
Journal title :
Annals of Forest Science
ISSN :
1286-4560
eISSN :
1297-966X
Publisher :
Springer-Verlag France
Volume :
73
Issue :
3
Pages :
713-727
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 18 January 2017

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