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Preprints
https://doi.org/10.5194/gmd-2020-66
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-66
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 07 May 2020

Submitted as: model description paper | 07 May 2020

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This preprint is currently under review for the journal GMD.

Energy, water and carbon exchanges in managed forest ecosystems: description, sensitivity analysis and evaluation of the INRAE GO+ model, version 3.0

Virginie Moreaux1,11, Simon Martel1,10, Alexandre Bosc1, Delphine Picart1, David Achat1, Christophe Moisy1, Raphael Aussenac1, Christophe Chipeaux1, Jean-Marc Bonnefond1, Pierre Trichet1, Rémi Vezy2, Vincent Badeau3, Bernard Longdoz3, André Granier3, Olivier Roupsard4, Manuel Nicolas5, Kim Pilegaard6, Giorgio Matteucci7, Claudy Jolivet8, Andrew T. Black9, Olivier Picard10, and Denis Loustau1 Virginie Moreaux et al.
  • 1Bordeaux-Sciences-Agro, INRAE, UMR ISPA, Villenave d’Ornon, 33140, France
  • 2AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
  • 3NRAE, UMR SILVA 1434, Champenoux, 54280, France
  • 4Eco&Sols, Univ. Montpellier, CIRAD, INRAE, IRD, Montpellier SupAgro, Montpellier, France
  • 5ONF, Département RDI, Fontainebleau, 77300, France
  • 6Technical University of Denmark, Department of Environmental Engineering, 2800 Kgs. Lyngby, Denmark
  • 7CNR,ISAFOM, 80056 Ercolano (NA), Italy
  • 8INRAE, US1106 InfoSol, Orléans, 45075, France
  • 9Faculty of Land and Food Systems, Vancouver, BC - V6T 1Z4, Canada
  • 10CNPF-IDF, Paris, 75000 France
  • 11Université de Grenoble-Alpes,CNRS, UMR IGE 5001, Grenoble, 38058, France

Abstract. The mechanistic model GO+ describes the functioning and growth of managed forests based upon biophysical and biogeochemical processes. The biophysical and biogeochemical processes included are modelled using standard formulations of radiative transfer, convective heat exchange, evapotranspiration, photosynthesis, respiration, plant phenology, growth and mortality, biomass nutrient content, and soil carbon dynamics. The forest ecosystem is modelled as three layers, namely the tree overstorey, understorey and soil. The vegetation layers include stems, branches and foliage and are partitioned dynamically between sunlit and shaded fractions. The soil carbon sub-model is an adaption of the Roth-C model to simulate the impact of forest operations. The model runs at an hourly time-step. It represents a forest stand covering typically 1 ha and can be straightforwardly up-scaled across gridded data at regional, country or continental levels. GO+ accounts for both the immediate and long-term impacts of forest operations on energy, water and carbon exchanges within the soil-vegetation-atmosphere continuum. It includes exhaustive and versatile descriptions of management operations (soil preparation, regeneration, vegetation control, selective thinning, clear-cutting, coppicing, etc.), thus permitting the effects of a wide variety of forest management strategies to be estimated: from close-to-nature to intensive. This paper examines the sensitivity of the model to its main parameters and estimates how errors in parameter values are propagated into the predicted values of its main output variables. We show how the model performs when compared with observations such as time series of forest-atmosphere exchanges of energy, water and CO2 monitored over Douglas fir, European beech and pine forests of different ages as well as long-term series of tree growth, soil water and soil carbon data recorded at continuously monitored forests plots. We also illustrate the capacity of the GO+ model to simulate the provision of key ecosystem services, such as the long-term storage of carbon in biomass and soil under various management and climate scenarios.

Virginie Moreaux et al.

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Data sets

FLUXNET 2015 Research Network Site Characteristics, Investigators, and Bibliography, 2016 E. Falge, M. Aubinet, P. S. Bakwin, D. Baldocchi, P. Berbigier, C. Bernhofer, T. A. Black, R. Ceulemans, K. J. Davis, A. J. Dolman, A. Goldstein, M. L. Goulden, A. Granier, D. Y. Hollinger, P. G. Jarvis, N. Jensen, K. Pilegaard, G. Katul, P. Kyaw Tha Paw, B. E. Law, A. Lindroth, D. Loustau, Y. Mahli, R. Monson, P. Moncrieff, E. Moors, J. W. Munger, T. Meyers, W. Oechel, E.-D. Schulze, H. Thorgeirsson, J. Tenhunen, R. Valentini, S. B. Verma, T. Vesala, and S. C. Wofsy https://doi.org/10.3334/ORNLDAAC/1530

Flux and micrometorological data from the Le Bray site (FR-LBr) D. Loustau, P. Berbigier, J. M. Bonnefond, and V. Moreaux https://doi.org/10.18140/FLX/1440163

Flux and micrometorological data from the Collelongo site (IT-Col) G. Matteucci et al. https://doi.org/10.18140/FLX/1440167

Flux and micrometorological data from the Soroe Site (DK-Col) K. Pilegaard et al. https://doi.org/10.18140/FLX/1440155

FLUXNET Canada Research Network - Canadian Carbon Program Data Collection, 1993-2014 FLUXNET CANADA TEAM https://doi.org/10.3334/ORNLDAAC/1335

The PROFOUND database for evaluating vegetation models and simulating climate impacts on forests C. Reyer, R. Silveyra Gonzalez, K. Dolos, F. Hartig, Y. Hauf, M. Noack, P. Lasch-Born, T. Rötzer, H. Pretzsch, H. Meesenburg, S. Fleck, M. Wagner, A. Bolte, T. Sanders, P. Kolari, A. Mäkelä, T. Vesala, I. Mammarella, J. Pumpanen, G. Matteucci, A. Collalti, E. D’Andrea, L. Foltýnová, J. Krejza, A. Ibrom, K. Pilegaard, D. Loustau, J.-M. Bonnefond, P. Berbigier, D. Picart, S. Lafont, M. Dietze, D. Cameron, M. Vieno, H. Tian, A. Palacios-Orueta, V. Cicuendez, L. Recuero, K. Wiese, M. Büchner, S. Lange, J. Volkholz, H. Kim, G. Weedon, J. Sheffield, I. Vega del Valle, F. Suckow, J. Horemans, S. Martel, F. Bohn, J. Steinkamp, A. Chikalanov, and K. Frieler https://doi.org/10.5880/PIK.2019.008

Model code and software

GO+ v3.0 model code. D. Loustau, C. Moisy, A. Bosc, S. Martel, D. Picart-Deshors, and V. Moreaux https://doi.org/10.15454/5K9HCS

Virginie Moreaux et al.

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Short summary
The model GO+ describes the functioning of managed forests based upon biophysical and biogeochemical processes. GO+ accounts for the impacts of forest operations on energy, water and carbon exchanges within the soil-vegetation-atmosphere continuum. It includes versatile descriptions of management operations. Its sensitivity and uncertainty are detailed and predictions are compared with observations about mass and energy exchanges, hydrological and tree growth variables from different sites.
The model GO+ describes the functioning of managed forests based upon biophysical and...
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