1. Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
- Author
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Haifa Debouk, Nuria Altimir, Maria-Teresa Sebastià, Ecosystem processes (INAR Forest Sciences), and Institute for Atmospheric and Earth System Research (INAR)
- Subjects
1171 Geosciences ,Spectrum analyzer ,010504 meteorology & atmospheric sciences ,Clinical Biochemistry ,Context (language use) ,CO₂ ,Atmospheric sciences ,01 natural sciences ,Methane ,NO ,chemistry.chemical_compound ,Detection limit ,Agricultural and Biological Science ,Quantitative and qualitative data ,Range (statistics) ,Ecosystem ,N₂O ,lcsh:Science ,ComputingMethodologies_COMPUTERGRAPHICS ,0105 earth and related environmental sciences ,CH4 ,N2O ,Soil-atmosphere multi-gas exchange in remote areas ,04 agricultural and veterinary sciences ,CH ,15. Life on land ,Gas analyzer ,CO ,Medical Laboratory Technology ,Variable (computer science) ,CH₄ ,chemistry ,13. Climate action ,Greenhouse gas ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Environmental science ,CO2 ,lcsh:Q - Abstract
Graphical abstract, Measurements of greenhouse gas (GHG) fluxes, particularly methane (CH4) and nitrous oxide (N2O) in mountain ecosystems are scarce due to the complexity and unpredictable behavior of these gases, in addition to the remoteness of these ecosystems. In this context, we measured CO2, CH4, and N2O fluxes in four semi-natural pastures in the Pyrenees to investigate their magnitude and range of variability. Our interest was to study GHG phenomena at the patch-level, therefore we chose to measure the gas-exchange using a combination of a gas analyzer and manual chambers. The analyzer used is a photoacoustic field gas-monitor that allows multi-gas instantaneous measurements. After implementing quality control and corrections, data was of variable quality. We tackled this by categorizing data as to providing quantitative or only qualitative information: • 50% and 59% of all CH4 and N2O data, respectively, provided quantitative information above the detection limit. • We chose not to discard data providing only qualitative information, because they identify highest- and lowest-flux peak periods and indicate the variability of the fluxes, along different altitudes and under different climatic conditions. • We chose not to give fluxes below detection limit a quantitative value but to acknowledge them as values identifying periods with low fluxes.
- Published
- 2018
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