Articles | Volume 9, issue 12
https://doi.org/10.5194/gmd-9-4405-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-4405-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities
Dóra Hidy
CORRESPONDING AUTHOR
MTA-SZIE Plant Ecology Research Group, Szent István University,
Páter K. u.1., 2103 Gödöllő, Hungary
Zoltán Barcza
Department of Meteorology, Eötvös Loránd University,
Pázmány P. sétány 1/A., 1117 Budapest, Hungary
Hrvoje Marjanović
Croatian Forest Research Institute, Department for Forest Management
and Forestry Economics, Cvjetno naselje 41, 10450 Jastrebarsko, Croatia
Maša Zorana Ostrogović Sever
Croatian Forest Research Institute, Department for Forest Management
and Forestry Economics, Cvjetno naselje 41, 10450 Jastrebarsko, Croatia
Laura Dobor
Department of Meteorology, Eötvös Loránd University,
Pázmány P. sétány 1/A., 1117 Budapest, Hungary
Czech University of Life Sciences, Faculty of Forestry and Wood Sciences, Department of Forest Protection and Entomology, Kamýcká 129, 165 21 Prague 6, Czech Republic
Györgyi Gelybó
Institute for Soil Sciences and Agricultural Chemistry, Centre for
Agricultural Research, Hungarian Academy of Sciences, Herman O. út 15.,
1163 Budapest, Hungary
Nándor Fodor
Agricultural Institute, Centre for Agricultural Research, Hungarian
Academy of Sciences, Brunszvik u. 2., 2462 Martonvásár, Hungary
Krisztina Pintér
MTA-SZIE Plant Ecology Research Group, Szent István University,
Páter K. u.1., 2103 Gödöllő, Hungary
Galina Churkina
Institute for Advanced Sustainability Studies e.V., Berliner Strasse
130, 14467 Potsdam, Germany
Geography Department, Humboldt University of Berlin, Berlin, Germany
Steven Running
Numerical Terradynamic Simulation Group, Department of Ecosystem and
Conservation Sciences University of Montana, Missoula, MT 59812, USA
Peter Thornton
Climate Change Science Institute/Environmental Sciences Division,
Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Gianni Bellocchi
UREP, INRA, 63000 Clermont-Ferrand, France
László Haszpra
Hungarian Meteorological Service, P.O. Box 39, 1675 Budapest,
Hungary
Geodetic and Geophysical Institute, MTA Research Centre for
Astronomy and Earth Sciences, Csatkai Endre utca 6-8, 9400 Sopron, Hungary
Ferenc Horváth
Institute of Ecology and Botany, Centre for Ecological Research,
Hungarian Academy of Sciences, Alkotmány u. 2-4., 2163
Vácrátót, Hungary
Andrew Suyker
School of Natural Resources, University of Nebraska-Lincoln, 806
Hardin Hall, Lincoln, NE 68588, USA
Zoltán Nagy
MTA-SZIE Plant Ecology Research Group, Szent István University,
Páter K. u.1., 2103 Gödöllő, Hungary
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52 citations as recorded by crossref.
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- First results of tall tower based nitrous oxide flux monitoring over an agricultural region in Central Europe L. Haszpra et al. 10.1016/j.atmosenv.2017.12.035
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- Critical Climate Periods Explain a Large Fraction of the Observed Variability in Vegetation State A. Kern et al. 10.3390/rs14215621
- Modeling the effect of grazing on carbon and water use efficiencies in grasslands on the Qinghai–Tibet Plateau X. Huang et al. 10.1186/s12862-024-02215-4
- Climate Change and Rising CO2 Amplify the Impact of Land Use/Cover Change on Carbon Budget Differentially Across China B. Huang et al. 10.1029/2022EF003057
- Impacts of vegetation restoration on water resources and carbon sequestration in the mountainous area of Haihe River basin, China T. Ma et al. 10.1016/j.scitotenv.2023.161724
- Sensitivity of simulated soil water content, evapotranspiration, gross primary production and biomass to climate change factors in Euro-Mediterranean grasslands G. Bellocchi et al. 10.1016/j.agrformet.2023.109778
- Ecological restoration is crucial in mitigating carbon loss caused by permafrost thawing on the Qinghai-Tibet Plateau B. Huang et al. 10.1038/s43247-024-01511-7
- Simulation of Soil Water Content in Mediterranean Ecosystems by Biogeochemical and Remote Sensing Models P. Battista et al. 10.3390/w10050665
- Forest Carbon Flux Simulation Using Multi-Source Data and Incorporation of Remotely Sensed Model with Process-Based Model Y. Su et al. 10.3390/rs14194766
- A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda 10.1029/2019MS001806
- La selvicultura ecohidrológica como herramienta de gestión multifuncional y adaptativa: aplicación práctica en la Sierra Norte de Madrid A. Del Campo García et al. 10.31167/csecfv0i49.19940
- Machine Learning‐Based Modeling of Vegetation Leaf Area Index and Gross Primary Productivity Across North America and Comparison With a Process‐Based Model Z. Zhang et al. 10.1029/2021MS002802
- Temporal and Spatial Dynamics of Carbon Storage in Qinghai Grasslands X. Huang et al. 10.3390/agronomy12051201
- A Comprehensive Assessment of Anthropogenic and Natural Sources and Sinks of Australasia's Carbon Budget Y. Villalobos et al. 10.1029/2023GB007845
- Quantifying and Mapping Human Appropriation of Net Primary Productivity in Qinghai Grasslands in China X. Huang et al. 10.3390/agriculture12040483
- 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
- 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
- An improved parameterization of the allocation of assimilated carbon to plant parts in vegetation dynamics for Noah‐MP H. Gim et al. 10.1002/2016MS000890
- Spatiotemporal Dynamics of the Carbon Budget and the Response to Grazing in Qinghai Grasslands X. Huang et al. 10.3389/fpls.2021.775015
- Early–latewood carbon isotope enhances the understanding of the relationship between tree biomass growth and forest-level carbon fluxes H. Jia et al. 10.1016/j.agrformet.2022.108818
- A comparison of three models used to determine water fluxes over the Albany Thicket, Eastern Cape, South Africa A. Palmer et al. 10.1016/j.agrformet.2020.107984
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- Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate A. Collalti et al. 10.1029/2018MS001275
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- Improvement of predicting ecosystem productivity by modifying carbon–water–nitrogen coupling processes in a temperate grassland K. Cheng et al. 10.1093/jpe/rtaa072
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- Analysis of the 21-years long carbon dioxide flux dataset from a Central European tall tower site Z. Barcza et al. 10.1016/j.agrformet.2020.108027
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- Estimating spatial variation in the effects of climate change on the net primary production of Japanese cedar plantations based on modeled carbon dynamics J. Toriyama et al. 10.1371/journal.pone.0247165
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- Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices A. Kern et al. 10.1016/j.agrformet.2018.06.009
- Improved Modeling of Gross Primary Productivity of Alpine Grasslands on the Tibetan Plateau Using the Biome-BGC Model Y. You et al. 10.3390/rs11111287
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Latest update: 23 Nov 2024
Short summary
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...