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

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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
    Excellence Center, Faculty of Science, Eötvös Loránd University, Brunszvik u. 2, H-2462 Martonvásár, Hungary
    Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16521 Prague, Czech Republic)

  • 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)

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.

Suggested Citation

  • Maša Zorana Ostrogović Sever & Zoltán Barcza & Dóra Hidy & Anikó Kern & Doroteja Dimoski & Slobodan Miko & Ozren Hasan & Branka Grahovac & Hrvoje Marjanović, 2021. "Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses," Land, MDPI, vol. 10(9), pages 1-23, September.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:968-:d:635497
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    References listed on IDEAS

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    1. Bakker, M.M. & Hatna, E. & Kuhlman, T. & Mücher, C.A., 2011. "Changing environmental characteristics of European cropland," Agricultural Systems, Elsevier, vol. 104(7), pages 522-532, September.
    2. Hidy, D. & Barcza, Z. & Haszpra, L. & Churkina, G. & Pintér, K. & Nagy, Z., 2012. "Development of the Biome-BGC model for simulation of managed herbaceous ecosystems," Ecological Modelling, Elsevier, vol. 226(C), pages 99-119.
    3. Maselli, Fabio & Chiesi, Marta & Brilli, Lorenzo & Moriondo, Marco, 2012. "Simulation of olive fruit yield in Tuscany through the integration of remote sensing and ground data," Ecological Modelling, Elsevier, vol. 244(C), pages 1-12.
    4. Chiesi, M. & Maselli, F. & Moriondo, M. & Fibbi, L. & Bindi, M. & Running, S.W., 2007. "Application of BIOME-BGC to simulate Mediterranean forest processes," Ecological Modelling, Elsevier, vol. 206(1), pages 179-190.
    5. Nadejda A. Soudzilovskaia & Peter M. Bodegom & César Terrer & Maarten van’t Zelfde & Ian McCallum & M. Luke McCormack & Joshua B. Fisher & Mark C. Brundrett & Nuno César Sá & Leho Tedersoo, 2019. "Global mycorrhizal plant distribution linked to terrestrial carbon stocks," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
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    1. Xuebin Zhang & Litang Yao & Jun Luo & Wenjuan Liang, 2022. "Exploring Changes in Land Use and Landscape Ecological Risk in Key Regions of the Belt and Road Initiative Countries," Land, MDPI, vol. 11(6), pages 1-22, June.

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