Evaluation and gap filling of soil NO flux dataset measured at a Hungarian semi-arid grassland

Research output: Contribution to journalArticle

Abstract

Nitric oxide soil emission flux was measured by 2-2 parallel manual and auto dynamic chambers on hourly basis above a Hungarian semi-arid, sandy grassland between August 2012 and January 2014. The measured datasets covered 43-85% of time period depending on chambers. We applied a gap filling method based on multivariable analysis (Sigma Plot) combined with maximum likelihood method. Trend of gap filled dataset shows large peaks mostly in summer and early fall. When soil parameters are far from the optimum (dry, warm conditions), the fluxes are negligible. Application of manual chambers closed for longer period results in substantial positive bias in flux estimation compared to auto chambers as a consequence of measurement setup, different temperature, and drier soil conditions below the chamber. Mean fluxes applying permanently closed dynamic chambers are approximately three times higher compared to auto chambers: 0.176±0.489 nmol m-2s-1 and 0.058±0.130 nmol m-2s-1, respectively.

Original languageEnglish
Pages (from-to)23-37
Number of pages15
JournalIdojaras
Volume119
Issue number1
Publication statusPublished - 2015

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grassland
soil emission
nitric oxide
soil
summer
temperature
evaluation
method
analysis
soil condition
trend
parameter

Keywords

  • Dynamic chamber
  • Gap filling
  • Grassland
  • Nitric oxide
  • Nitrification
  • Soil emission

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Evaluation and gap filling of soil NO flux dataset measured at a Hungarian semi-arid grassland. / Hidy, Dóra; Horváth, L.; Weidinger, T.

In: Idojaras, Vol. 119, No. 1, 2015, p. 23-37.

Research output: Contribution to journalArticle

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N2 - Nitric oxide soil emission flux was measured by 2-2 parallel manual and auto dynamic chambers on hourly basis above a Hungarian semi-arid, sandy grassland between August 2012 and January 2014. The measured datasets covered 43-85% of time period depending on chambers. We applied a gap filling method based on multivariable analysis (Sigma Plot) combined with maximum likelihood method. Trend of gap filled dataset shows large peaks mostly in summer and early fall. When soil parameters are far from the optimum (dry, warm conditions), the fluxes are negligible. Application of manual chambers closed for longer period results in substantial positive bias in flux estimation compared to auto chambers as a consequence of measurement setup, different temperature, and drier soil conditions below the chamber. Mean fluxes applying permanently closed dynamic chambers are approximately three times higher compared to auto chambers: 0.176±0.489 nmol m-2s-1 and 0.058±0.130 nmol m-2s-1, respectively.

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