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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 12 | Copyright
Geosci. Model Dev., 9, 4405-4437, 2016
https://doi.org/10.5194/gmd-9-4405-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 07 Dec 2016

Model description paper | 07 Dec 2016

Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities

Dóra Hidy1, Zoltán Barcza2, Hrvoje Marjanović3, Maša Zorana Ostrogović Sever3, Laura Dobor2,14, Györgyi Gelybó4, Nándor Fodor5, Krisztina Pintér1, Galina Churkina6,15, Steven Running7, Peter Thornton8, Gianni Bellocchi9, László Haszpra10,13, Ferenc Horváth11, Andrew Suyker12, and Zoltán Nagy1 Dóra Hidy et al.
  • 1MTA-SZIE Plant Ecology Research Group, Szent István University, Páter K. u.1., 2103 Gödöllő, Hungary
  • 2Department of Meteorology, Eötvös Loránd University, Pázmány P. sétány 1/A., 1117 Budapest, Hungary
  • 3Croatian Forest Research Institute, Department for Forest Management and Forestry Economics, Cvjetno naselje 41, 10450 Jastrebarsko, Croatia
  • 4Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman O. út 15., 1163 Budapest, Hungary
  • 5Agricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Brunszvik u. 2., 2462 Martonvásár, Hungary
  • 6Institute for Advanced Sustainability Studies e.V., Berliner Strasse 130, 14467 Potsdam, Germany
  • 7Numerical Terradynamic Simulation Group, Department of Ecosystem and Conservation Sciences University of Montana, Missoula, MT 59812, USA
  • 8Climate Change Science Institute/Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
  • 9UREP, INRA, 63000 Clermont-Ferrand, France
  • 10Hungarian Meteorological Service, P.O. Box 39, 1675 Budapest, Hungary
  • 11Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4., 2163 Vácrátót, Hungary
  • 12School of Natural Resources, University of Nebraska-Lincoln, 806 Hardin Hall, Lincoln, NE 68588, USA
  • 13Geodetic and Geophysical Institute, MTA Research Centre for Astronomy and Earth Sciences, Csatkai Endre utca 6-8, 9400 Sopron, Hungary
  • 14Czech University of Life Sciences, Faculty of Forestry and Wood Sciences, Department of Forest Protection and Entomology, Kamýcká 129, 165 21 Prague 6, Czech Republic
  • 15Geography Department, Humboldt University of Berlin, Berlin, Germany

Abstract. The process-based biogeochemical model Biome-BGC was enhanced to improve its ability to simulate carbon, nitrogen, and water cycles of various terrestrial ecosystems under contrasting management activities. Biome-BGC version 4.1.1 was used as a base model. Improvements included addition of new modules such as the multilayer soil module, implementation of processes related to soil moisture and nitrogen balance, soil-moisture-related plant senescence, and phenological development. Vegetation management modules with annually varying options were also implemented to simulate management practices of grasslands (mowing, grazing), croplands (ploughing, fertilizer application, planting, harvesting), and forests (thinning). New carbon and nitrogen pools have been defined to simulate yield and soft stem development of herbaceous ecosystems. The model version containing all developments is referred to as Biome-BGCMuSo (Biome-BGC with multilayer soil module; in this paper, Biome-BGCMuSo v4.0 is documented). Case studies on a managed forest, cropland, and grassland are presented to demonstrate the effect of model developments on the simulation of plant growth as well as on carbon and water balance.

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This paper provides detailed documentation on the changes implemented in the widely used biogeochemical model Biome-BGC. The version containing all improvements is referred to as Biome-BGCMuSo (Biome-BGC with multilayer soil module). Case studies on forest, cropland, and grassland are presented to demonstrate the effect of developments on the simulation. By using Biome-BGCMuSo, it became possible to analyze the effects of different environmental conditions and human activities on the ecosystems.
This paper provides detailed documentation on the changes implemented in the widely used...
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