Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses
Soil organic carbon (SOC) is a mandatory pool in national inventory reports on greenhouse gas (GHG) emissions and removals to the UNFCCC. Hence, its accurate assessment is important. Modelling SOC changes for national GHG reports is encouraged, but the uncertainty related to this pool still presents...
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MDPI AG
2021-09-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/10/9/968 |
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| author | Maša Zorana Ostrogović Sever Zoltán Barcza Dóra Hidy Anikó Kern Doroteja Dimoski Slobodan Miko Ozren Hasan Branka Grahovac Hrvoje Marjanović |
| author_facet | Maša Zorana Ostrogović Sever Zoltán Barcza Dóra Hidy Anikó Kern Doroteja Dimoski Slobodan Miko Ozren Hasan Branka Grahovac Hrvoje Marjanović |
| author_sort | Maša Zorana Ostrogović Sever |
| collection | DOAJ |
| description | Soil organic carbon (SOC) is a mandatory pool in national inventory reports on greenhouse gas (GHG) emissions and removals to the UNFCCC. Hence, its accurate assessment is important. Modelling SOC changes for national GHG reports is encouraged, but the uncertainty related to this pool still presents a significant challenge; thus, verifying modelling results with field observations is essential. We used the process-based model Biome-BGCMuSo and assessed its suitability for use in Croatia’s GHG reporting. We modelled SOC stocks in the top 30 cm of the mineral soil layer (SOC<sub>30</sub>) for four different land-use (LU) categories (Deciduous/Coniferous Forest, Grassland and Annual Cropland) distributed in three biogeographical regions (Alpine, Continental and Mediterranean) and compared them with results of a national soil survey. A total of 573 plot level simulations were undertaken and results were evaluated at three stratification levels (LU, LU × biogeographical region, and plot). The model reproduced the overall country mean of SOC<sub>30</sub> with no overall bias, and showed good performance at the LU level with no significant (<i>p</i> < 0.05) difference for all LUs except Deciduous Forest (11% overestimation). At finer stratifications, the model performance considerably worsened. Further model calibration, improvement and testing, as well as repeated soil survey are needed in order to assess the changes in SOC<sub>30</sub> and to evaluate the potential of the Biome-BGCMuSo model for use in GHG reporting. |
| first_indexed | 2024-03-10T07:31:30Z |
| format | Article |
| id | doaj.art-fede35efa97f4198ad44a0d7670e9c23 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T07:31:30Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-fede35efa97f4198ad44a0d7670e9c232023-11-22T13:53:49ZengMDPI AGLand2073-445X2021-09-0110996810.3390/land10090968Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land UsesMaša Zorana Ostrogović Sever0Zoltán Barcza1Dóra Hidy2Anikó Kern3Doroteja Dimoski4Slobodan Miko5Ozren Hasan6Branka Grahovac7Hrvoje Marjanović8Croatian Forest Research Institute, Cvjetno naselje 41, HR-10450 Jastrebarsko, CroatiaDepartment of Meteorology, Eötvös Loránd University, Pázmány P. st. 1/A, H-1117 Budapest, HungaryExcellence Center, Faculty of Science, Eötvös Loránd University, Brunszvik u. 2, H-2462 Martonvásár, HungaryDepartment of Geophysics and Space Sciences, Eötvös Loránd University, Pázmány P. st. 1/A, H-1117 Budapest, HungaryCroatian Forest Research Institute, Cvjetno naselje 41, HR-10450 Jastrebarsko, CroatiaCroatian Geological Survey, Sachsova 2, HR-10000 Zagreb, CroatiaCroatian Geological Survey, Sachsova 2, HR-10000 Zagreb, CroatiaMinistry of Agriculture, Directorate for Professional Support to the Development of Agriculture and Fisheries, J. J. Strossmayera 3, HR-31500 Našice, CroatiaCroatian Forest Research Institute, Cvjetno naselje 41, HR-10450 Jastrebarsko, CroatiaSoil organic carbon (SOC) is a mandatory pool in national inventory reports on greenhouse gas (GHG) emissions and removals to the UNFCCC. Hence, its accurate assessment is important. Modelling SOC changes for national GHG reports is encouraged, but the uncertainty related to this pool still presents a significant challenge; thus, verifying modelling results with field observations is essential. We used the process-based model Biome-BGCMuSo and assessed its suitability for use in Croatia’s GHG reporting. We modelled SOC stocks in the top 30 cm of the mineral soil layer (SOC<sub>30</sub>) for four different land-use (LU) categories (Deciduous/Coniferous Forest, Grassland and Annual Cropland) distributed in three biogeographical regions (Alpine, Continental and Mediterranean) and compared them with results of a national soil survey. A total of 573 plot level simulations were undertaken and results were evaluated at three stratification levels (LU, LU × biogeographical region, and plot). The model reproduced the overall country mean of SOC<sub>30</sub> with no overall bias, and showed good performance at the LU level with no significant (<i>p</i> < 0.05) difference for all LUs except Deciduous Forest (11% overestimation). At finer stratifications, the model performance considerably worsened. Further model calibration, improvement and testing, as well as repeated soil survey are needed in order to assess the changes in SOC<sub>30</sub> and to evaluate the potential of the Biome-BGCMuSo model for use in GHG reporting.https://www.mdpi.com/2073-445X/10/9/968biogeochemical modellingspatial modellingsoil national inventorynational inventory reportforestscroplands |
| spellingShingle | Maša Zorana Ostrogović Sever Zoltán Barcza Dóra Hidy Anikó Kern Doroteja Dimoski Slobodan Miko Ozren Hasan Branka Grahovac Hrvoje Marjanović Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses Land biogeochemical modelling spatial modelling soil national inventory national inventory report forests croplands |
| title | Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses |
| title_full | Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses |
| title_fullStr | Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses |
| title_full_unstemmed | Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses |
| title_short | Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses |
| title_sort | evaluation of the terrestrial ecosystem model biome bgcmuso for modelling soil organic carbon under different land uses |
| topic | biogeochemical modelling spatial modelling soil national inventory national inventory report forests croplands |
| url | https://www.mdpi.com/2073-445X/10/9/968 |
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