Models and their adaptation

Zoltán Somogyi, Dóra Hidy, Györgyi Gelybó, Zoltán Barcza, Galina Churkina, László Haszpra, László Horváth, Attila Machon, Balázs Grosz

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

This chapter describes computer simulation models developed for-estimating greenhouse gas fluxes of different ecosystems. In general, each model is used for the simulation of specific parts of the complex systems; therefore, merging the results of various kind of models can give a better insight. In this chapter, we describe four models used for estimating biospheric fluxes of greenhouse gases in Hungary. The Biome-BGC and the DNDC models are process-based ecological models. The adapted version of Biome-BGC is capable of describing the carbon, nitrogen, and water fluxes of the Hungarian arable lands and grasslands. This model is used to estimate the net primary production (NPP) and the net biome production. DNDC is used to predict the soil fluxes of nitrous oxide and methane, and simulates the biogeochemical cycles of carbon and nitrogen occurring in agricultural soil. MOD17 is a simple lightweight model that is based on remote sensing and ancillary meteorological information, and provides gross primary production (GPP) and NPP data. The CASMOFOR model was developed to estimate how much carbon can be accumulated in afforestation projects.

Original languageEnglish
Title of host publicationAtmospheric Greenhouse Gases
Subtitle of host publicationThe Hungarian Perspective
PublisherSpringer Netherlands
Pages201-228
Number of pages28
ISBN (Print)9789048199495
DOIs
Publication statusPublished - Dec 1 2011

Keywords

  • Biome-BGC
  • CASMOFOR
  • DNDC
  • MOD17

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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  • Cite this

    Somogyi, Z., Hidy, D., Gelybó, G., Barcza, Z., Churkina, G., Haszpra, L., Horváth, L., Machon, A., & Grosz, B. (2011). Models and their adaptation. In Atmospheric Greenhouse Gases: The Hungarian Perspective (pp. 201-228). Springer Netherlands. https://doi.org/10.1007/978-90-481-9950-1_9