Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities
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 modul...
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doaj-45b9d5c64ace4114ba8338a0bc24b8352020-11-24T22:49:38ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032016-12-019124405443710.5194/gmd-9-4405-2016Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilitiesD. Hidy0Z. Barcza1H. Marjanović2M. Z. Ostrogović Sever3L. Dobor4G. Gelybó5N. Fodor6K. Pintér7G. Churkina8S. Running9P. Thornton10G. Bellocchi11L. Haszpra12F. Horváth13A. Suyker14Z. Nagy15MTA-SZIE Plant Ecology Research Group, Szent István University, Páter K. u.1., 2103 Gödöllő, HungaryDepartment of Meteorology, Eötvös Loránd University, Pázmány P. sétány 1/A., 1117 Budapest, HungaryCroatian Forest Research Institute, Department for Forest Management and Forestry Economics, Cvjetno naselje 41, 10450 Jastrebarsko, CroatiaCroatian Forest Research Institute, Department for Forest Management and Forestry Economics, Cvjetno naselje 41, 10450 Jastrebarsko, CroatiaDepartment of Meteorology, Eötvös Loránd University, Pázmány P. sétány 1/A., 1117 Budapest, HungaryInstitute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman O. út 15., 1163 Budapest, HungaryAgricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Brunszvik u. 2., 2462 Martonvásár, HungaryMTA-SZIE Plant Ecology Research Group, Szent István University, Páter K. u.1., 2103 Gödöllő, HungaryInstitute for Advanced Sustainability Studies e.V., Berliner Strasse 130, 14467 Potsdam, GermanyNumerical Terradynamic Simulation Group, Department of Ecosystem and Conservation Sciences University of Montana, Missoula, MT 59812, USAClimate Change Science Institute/Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USAUREP, INRA, 63000 Clermont-Ferrand, FranceHungarian Meteorological Service, P.O. Box 39, 1675 Budapest, HungaryInstitute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4., 2163 Vácrátót, HungarySchool of Natural Resources, University of Nebraska-Lincoln, 806 Hardin Hall, Lincoln, NE 68588, USAMTA-SZIE Plant Ecology Research Group, Szent István University, Páter K. u.1., 2103 Gödöllő, HungaryThe 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.http://www.geosci-model-dev.net/9/4405/2016/gmd-9-4405-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. Hidy Z. Barcza H. Marjanović M. Z. Ostrogović Sever L. Dobor G. Gelybó N. Fodor K. Pintér G. Churkina S. Running P. Thornton G. Bellocchi L. Haszpra F. Horváth A. Suyker Z. Nagy |
spellingShingle |
D. Hidy Z. Barcza H. Marjanović M. Z. Ostrogović Sever L. Dobor G. Gelybó N. Fodor K. Pintér G. Churkina S. Running P. Thornton G. Bellocchi L. Haszpra F. Horváth A. Suyker Z. Nagy Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities Geoscientific Model Development |
author_facet |
D. Hidy Z. Barcza H. Marjanović M. Z. Ostrogović Sever L. Dobor G. Gelybó N. Fodor K. Pintér G. Churkina S. Running P. Thornton G. Bellocchi L. Haszpra F. Horváth A. Suyker Z. Nagy |
author_sort |
D. Hidy |
title |
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities |
title_short |
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities |
title_full |
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities |
title_fullStr |
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities |
title_full_unstemmed |
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities |
title_sort |
terrestrial ecosystem process model biome-bgcmuso v4.0: summary of improvements and new modeling possibilities |
publisher |
Copernicus Publications |
series |
Geoscientific Model Development |
issn |
1991-959X 1991-9603 |
publishDate |
2016-12-01 |
description |
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. |
url |
http://www.geosci-model-dev.net/9/4405/2016/gmd-9-4405-2016.pdf |
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