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Application of BIOME-BGC to simulate Mediterranean forest processes

Author

Listed:
  • Chiesi, M.
  • Maselli, F.
  • Moriondo, M.
  • Fibbi, L.
  • Bindi, M.
  • Running, S.W.

Abstract

The current work investigates on the applicability of a widespread bio-geochemical model (BIOME-BGC) to estimate seasonal photosynthesis and transpiration within water limited Mediterranean forest environments. The use of the model required a preliminary calibration phase, aimed at setting its ecophysiological parameters to properly simulate the behavior of three Mediterranean species (Quercus ilex L., Quercus cerris L. and Pinus pinaster Ait.). For each of these species, the calibration of BIOME-BGC was performed by adjusting the monthly gross primary productivity (GPP) estimates of 10 forest plots to those of a simplified parametric model, C-Fix, which is based on the use of satellite and ancillary data. In particular, BIOME-BGC was run modifying the eco-physiological parameters controlling stomatal conductance, in order to identify the best model configurations to reproduce the spatial, intra- and inter-annual GPP variations simulated by C-Fix. Next, the fraction of leaf nitrogen in Rubisco was adjusted to fit also the magnitudes of the C-Fix GPP estimates. The subsequent testing phase consisted of applying the original and calibrated versions of BIOME-BGC in independent forest sites where the three species considered were dominant and for which field measurements of photosynthesis and transpiration were available. In all cases the use of the calibrated BIOME-BGC versions led to notably improve the GPP and transpiration estimation accuracy of the original model. The results obtained encourage the operational application of BIOME-BGC in Mediterranean forest environments and indicate a possible strategy to integrate its functions with those of C-Fix.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:206:y:2007:i:1:p:179-190
    DOI: 10.1016/j.ecolmodel.2007.03.032
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    Citations

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    Cited by:

    1. Mattia Cai & Roberto Ferrise & Marco Moriondo & Paulo A.L.D. Nunes & Marco Bindi, 2011. "Climate Change and Tourism in Tuscany, Italy. What if heat becomes unbearable?," Working Papers 2011.67, Fondazione Eni Enrico Mattei.
    2. Ruiz-Pérez, G. & González-Sanchis, M. & Del Campo, A.D. & Francés, F., 2016. "Can a parsimonious model implemented with satellite data be used for modelling the vegetation dynamics and water cycle in water-controlled environments?," Ecological Modelling, Elsevier, vol. 324(C), pages 45-53.
    3. Ma, Shaoxiu & Churkina, Galina & Wieland, Ralf & Gessler, Arthur, 2011. "Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe," Ecological Modelling, Elsevier, vol. 222(20), pages 3662-3679.
    4. 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.
    5. Shixian Xu & Xinjun Wang & Xiaofei Ma & Shenghan Gao, 2023. "Risk Assessment and Prediction of Soil Water Erosion on the Middle Northern Slope of Tianshan Mountain," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    6. Wang, Qinying & He, Hong S. & Liu, Kai & Zong, Shengwei & Du, Haibo, 2023. "Comparing simulated tree biomass from daily, monthly, and seasonal climate input of terrestrial ecosystem model," Ecological Modelling, Elsevier, vol. 483(C).
    7. Maselli, F. & Vaccari, F.P. & Chiesi, M. & Romanelli, S. & D’Acqui, L.P., 2017. "Modelling and analyzing the water and carbon dynamics of Mediterranean macchia by the use of ground and remote sensing data," Ecological Modelling, Elsevier, vol. 351(C), pages 1-13.
    8. Collalti, Alessio & Perugini, Lucia & Santini, Monia & Chiti, Tommaso & Nolè, Angelo & Matteucci, Giorgio & Valentini, Riccardo, 2014. "A process-based model to simulate growth in forests with complex structure: Evaluation and use of 3D-CMCC Forest Ecosystem Model in a deciduous forest in Central Italy," Ecological Modelling, Elsevier, vol. 272(C), pages 362-378.
    9. Matthew Reeves & Adam Moreno & Karen Bagne & Steven Running, 2014. "Estimating climate change effects on net primary production of rangelands in the United States," Climatic Change, Springer, vol. 126(3), pages 429-442, October.
    10. Qifei Han & Geping Luo & Chaofan Li & Shoubo Li, 2018. "Response of Carbon Dynamics to Climate Change Varied among Different Vegetation Types in Central Asia," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    11. 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.
    12. Maselli, F. & Chiesi, M. & Moriondo, M. & Fibbi, L. & Bindi, M. & Running, S.W., 2009. "Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data," Ecological Modelling, Elsevier, vol. 220(3), pages 330-342.
    13. González-Sanchis, Marí a & Del Campo, Antonio D. & Molina, Antonio J. & Fernandes, Tarcí sio J.G., 2015. "Modeling adaptive forest management of a semi-arid Mediterranean Aleppo pine plantation," Ecological Modelling, Elsevier, vol. 308(C), pages 34-44.
    14. Puertes, Cristina & González-Sanchis, María & Lidón, Antonio & Bautista, Inmaculada & del Campo, Antonio D. & Lull, Cristina & Francés, Félix, 2020. "Improving the modelling and understanding of carbon-nitrogen-water interactions in a semiarid Mediterranean oak forest," Ecological Modelling, Elsevier, vol. 420(C).

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