Articles | Volume 9, issue 12
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.
the Creative Commons Attribution 3.0 License.
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.
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 Hidy et al.
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Cited
27 citations as recorded by crossref.
- 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
- Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model M. Yan et al. 10.1186/s40663-019-0171-5
- Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses M. Ostrogović Sever et al. 10.3390/land10090968
- 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
- Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate A. Collalti et al. 10.1029/2018MS001275
- Improvement of predicting ecosystem productivity by modifying carbon–water–nitrogen coupling processes in a temperate grassland K. Cheng et al. 10.1093/jpe/rtaa072
- The Effect of Abiotic Stresses on the Protein Composition of Four Hungarian Wheat Varieties D. Nagy-Réder et al. 10.3390/plants11010001
- 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
- On the modeling paradigm of plant root nutrient acquisition J. Tang & W. Riley 10.1007/s11104-020-04798-5
- Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs N. Fodor et al. 10.1080/17538947.2021.1953161
- Análisis integral de la gestión forestal de base hidrológica mediante redes bayesianas A. García Prats et al. 10.31167/csecfv0i45.19532
- Hydrology-oriented forest management trade-offs. A modeling framework coupling field data, simulation results and Bayesian Networks A. Garcia-Prats et al. 10.1016/j.scitotenv.2018.05.134
- Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth I. Salma et al. 10.5194/acp-21-2861-2021
- Impact of climate change on net primary production (NPP) in south Iran Z. Azhdari et al. 10.1007/s10661-020-08389-w
- 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
- Simulation of Soil Water Content in Mediterranean Ecosystems by Biogeochemical and Remote Sensing Models P. Battista et al. 10.3390/w10050665
- Improving the modelling and understanding of carbon-nitrogen-water interactions in a semiarid Mediterranean oak forest C. Puertes et al. 10.1016/j.ecolmodel.2020.108976
- A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda 10.1029/2019MS001806
- Effects of anthropogenic revegetation on the water and carbon cycles of a desert steppe ecosystem L. Du et al. 10.1016/j.agrformet.2021.108339
- 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
- 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
- Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics G. Szatmári et al. 10.1016/j.geoderma.2021.115356
- Eddy Covariance vs. Biometric Based Estimates of Net Primary Productivity of Pedunculate Oak (Quercus robur L.) Forest in Croatia during Ten Years M. Anić et al. 10.3390/f9120764
- 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
27 citations as recorded by crossref.
- 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
- Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model M. Yan et al. 10.1186/s40663-019-0171-5
- Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses M. Ostrogović Sever et al. 10.3390/land10090968
- 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
- Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate A. Collalti et al. 10.1029/2018MS001275
- Improvement of predicting ecosystem productivity by modifying carbon–water–nitrogen coupling processes in a temperate grassland K. Cheng et al. 10.1093/jpe/rtaa072
- The Effect of Abiotic Stresses on the Protein Composition of Four Hungarian Wheat Varieties D. Nagy-Réder et al. 10.3390/plants11010001
- 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
- On the modeling paradigm of plant root nutrient acquisition J. Tang & W. Riley 10.1007/s11104-020-04798-5
- Input database related uncertainty of Biome-BGCMuSo agro-environmental model outputs N. Fodor et al. 10.1080/17538947.2021.1953161
- Análisis integral de la gestión forestal de base hidrológica mediante redes bayesianas A. García Prats et al. 10.31167/csecfv0i45.19532
- Hydrology-oriented forest management trade-offs. A modeling framework coupling field data, simulation results and Bayesian Networks A. Garcia-Prats et al. 10.1016/j.scitotenv.2018.05.134
- Influence of vegetation on occurrence and time distributions of regional new aerosol particle formation and growth I. Salma et al. 10.5194/acp-21-2861-2021
- Impact of climate change on net primary production (NPP) in south Iran Z. Azhdari et al. 10.1007/s10661-020-08389-w
- 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
- Simulation of Soil Water Content in Mediterranean Ecosystems by Biogeochemical and Remote Sensing Models P. Battista et al. 10.3390/w10050665
- Improving the modelling and understanding of carbon-nitrogen-water interactions in a semiarid Mediterranean oak forest C. Puertes et al. 10.1016/j.ecolmodel.2020.108976
- A Big Root Approximation of Site‐Scale Vegetation Water Uptake M. Bouda 10.1029/2019MS001806
- Effects of anthropogenic revegetation on the water and carbon cycles of a desert steppe ecosystem L. Du et al. 10.1016/j.agrformet.2021.108339
- 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
- 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
- Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics G. Szatmári et al. 10.1016/j.geoderma.2021.115356
- Eddy Covariance vs. Biometric Based Estimates of Net Primary Productivity of Pedunculate Oak (Quercus robur L.) Forest in Croatia during Ten Years M. Anić et al. 10.3390/f9120764
- 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
Latest update: 26 Jan 2022
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...
