Articles | Volume 15, issue 5
https://doi.org/10.5194/gmd-15-2157-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-2157-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
15 Mar 2022
Model description paper |
| 15 Mar 2022
| 15 Mar 2022
Soil-related developments of the Biome-BGCMuSo v6.2 terrestrial ecosystem model
Dóra Hidy
CORRESPONDING AUTHOR
Excellence Center, Faculty of Science, ELTE Eötvös Loránd University, 2462 Martonvásár, Hungary
MTA-MATE Agroecology Research Group, Department of Plant Physiology and Plant Ecology, Hungarian University for Agriculture and Life Sciences, 2100 Gödöllő, Hungary
Zoltán Barcza
Excellence Center, Faculty of Science, ELTE Eötvös Loránd University, 2462 Martonvásár, Hungary
Department of Meteorology, Institute of Geography and Earth Sciences, ELTE Eötvös Loránd University, 1117 Budapest, Hungary
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, 165 21 Prague, Czech Republic
Roland Hollós
Department of Meteorology, Institute of Geography and Earth Sciences, ELTE Eötvös Loránd University, 1117 Budapest, Hungary
Centre for Agricultural Research, Agricultural Institute, 2462 Martonvásár, Hungary
Doctoral School of Environmental Sciences, ELTE Eötvös Loránd University, 1117 Budapest, Hungary
Laura Dobor
Excellence Center, Faculty of Science, ELTE Eötvös Loránd University, 2462 Martonvásár, Hungary
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, 165 21 Prague, Czech Republic
Tamás Ács
Department of Sanitary and Environmental Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Dóra Zacháry
Geographical Institute, Research Centre for Astronomy and Earth Sciences, 1112 Budapest, Hungary
Tibor Filep
Geographical Institute, Research Centre for Astronomy and Earth Sciences, 1112 Budapest, Hungary
László Pásztor
Institute for Soil Sciences, Centre for Agricultural Research, 1022 Budapest, Hungary
Dóra Incze
Department of Meteorology, Institute of Geography and Earth Sciences, ELTE Eötvös Loránd University, 1117 Budapest, Hungary
Márton Dencső
Institute for Soil Sciences, Centre for Agricultural Research, 1022 Budapest, Hungary
Doctoral School of Environmental Sciences, ELTE Eötvös Loránd University, 1117 Budapest, Hungary
Eszter Tóth
Institute for Soil Sciences, Centre for Agricultural Research, 1022 Budapest, Hungary
Katarína Merganičová
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, 165 21 Prague, Czech Republic
Department of Biodiversity of Ecosystems and Landscape, Institute of Landscape Ecology, Slovak Academy of Sciences, 949 01 Nitra, Slovakia
Peter Thornton
Climate Change Science Institute/Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Steven Running
Numerical Terradynamic Simulation Group, Department of Ecosystem and Conservation Sciences University of Montana, Missoula, MT 59812, USA
Nándor Fodor
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, 165 21 Prague, Czech Republic
Centre for Agricultural Research, Agricultural Institute, 2462 Martonvásár, Hungary
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Cited
8 citations as recorded by crossref.
- RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- Supposed Effects of Wetland Restoration on Hydrological Conditions and the Provisioning Ecosystem Services—A Model-Based Case Study at a Hungarian Lowland Catchment Z. Kozma et al. 10.3390/su151511700
- Empirical and process-based models predict enhanced beech growth in European mountains under climate change scenarios: A multimodel approach M. Bosela et al. 10.1016/j.scitotenv.2023.164123
- Seamlessly combined historical and projected daily meteorological datasets for impact studies in Central Europe: The FORESEE v4.0 and the FORESEE-HUN v1.0 A. Kern et al. 10.1016/j.cliser.2023.100443
- A Comprehensive Assessment of Anthropogenic and Natural Sources and Sinks of Australasia's Carbon Budget Y. Villalobos et al. 10.1029/2023GB007845
- Conditional interval reduction method: A possible new direction for the optimization of process based models R. Hollós et al. 10.1016/j.envsoft.2022.105556
- Comparison and Optimization of Water Conservation Function in Natural Forests and Tea Plantations in a Headwater Catchment, Taihu Lake Basin J. Geng et al. 10.3390/f15010189
8 citations as recorded by crossref.
- RECCAP2 Future Component: Consistency and Potential for Regional Assessment to Constrain Global Projections C. Jones et al. 10.1029/2023AV001024
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- Supposed Effects of Wetland Restoration on Hydrological Conditions and the Provisioning Ecosystem Services—A Model-Based Case Study at a Hungarian Lowland Catchment Z. Kozma et al. 10.3390/su151511700
- Empirical and process-based models predict enhanced beech growth in European mountains under climate change scenarios: A multimodel approach M. Bosela et al. 10.1016/j.scitotenv.2023.164123
- Seamlessly combined historical and projected daily meteorological datasets for impact studies in Central Europe: The FORESEE v4.0 and the FORESEE-HUN v1.0 A. Kern et al. 10.1016/j.cliser.2023.100443
- A Comprehensive Assessment of Anthropogenic and Natural Sources and Sinks of Australasia's Carbon Budget Y. Villalobos et al. 10.1029/2023GB007845
- Conditional interval reduction method: A possible new direction for the optimization of process based models R. Hollós et al. 10.1016/j.envsoft.2022.105556
- Comparison and Optimization of Water Conservation Function in Natural Forests and Tea Plantations in a Headwater Catchment, Taihu Lake Basin J. Geng et al. 10.3390/f15010189
Latest update: 19 Apr 2024
Short summary
Biogeochemical models used by the scientific community can support society in the quantification of the expected environmental impacts caused by global climate change. The Biome-BGCMuSo v6.2 biogeochemical model has been created by implementing a lot of developments related to soil hydrology as well as the soil carbon and nitrogen cycle and by integrating crop model components. Detailed descriptions of developments with case studies are presented in this paper.
Biogeochemical models used by the scientific community can support society in the quantification...
