Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas

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http://hdl.handle.net/10138/247107

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Debouk , H , Altimir , N & Sebastià , M-T 2018 , ' Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas ' , MethodsX , vol. 5 , pp. 973–983 . https://doi.org/10.1016/j.mex.2018.07.021

Title: Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
Author: Debouk, Haifa; Altimir, Núria; Sebastià, Maria-Teresa
Contributor: University of Helsinki, Ecosystem processes (INAR Forest Sciences)
Date: 2018-08-22
Language: eng
Number of pages: 11
Belongs to series: MethodsX
ISSN: 2215-0161
URI: http://hdl.handle.net/10138/247107
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.
Subject: Soil-atmosphere multi-gas exchange in remote areas
CO
CH
NO
detection limit
quantitative and qualitative data
1171 Geosciences
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