Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses

Maša Zorana Ostrogović Sever, Zoltán Barcza, Dóra Hidy, Anikó Kern, Doroteja Dimoski, Slobodan Miko, Ozren Hasan, Branka Grahovac and Hrvoje Marjanović
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Maša Zorana Ostrogović Sever: Croatian Forest Research Institute, Cvjetno naselje 41, HR-10450 Jastrebarsko, Croatia
Zoltán Barcza: Department of Meteorology, Eötvös Loránd University, Pázmány P. st. 1/A, H-1117 Budapest, Hungary
Dóra Hidy: Excellence Center, Faculty of Science, Eötvös Loránd University, Brunszvik u. 2, H-2462 Martonvásár, Hungary
Anikó Kern: Department of Geophysics and Space Sciences, Eötvös Loránd University, Pázmány P. st. 1/A, H-1117 Budapest, Hungary
Doroteja Dimoski: Croatian Forest Research Institute, Cvjetno naselje 41, HR-10450 Jastrebarsko, Croatia
Slobodan Miko: Croatian Geological Survey, Sachsova 2, HR-10000 Zagreb, Croatia
Ozren Hasan: Croatian Geological Survey, Sachsova 2, HR-10000 Zagreb, Croatia
Branka Grahovac: Ministry of Agriculture, Directorate for Professional Support to the Development of Agriculture and Fisheries, J. J. Strossmayera 3, HR-31500 Našice, Croatia
Hrvoje Marjanović: Croatian Forest Research Institute, Cvjetno naselje 41, HR-10450 Jastrebarsko, Croatia

Land, 2021, vol. 10, issue 9, 1-23

Abstract: 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 30 ) 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 30 with no overall bias, and showed good performance at the LU level with no significant ( p < 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 30 and to evaluate the potential of the Biome-BGCMuSo model for use in GHG reporting.

Keywords: biogeochemical modelling; spatial modelling; soil national inventory; national inventory report; forests; croplands; grasslands (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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