Cargando…

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

Measurements of greenhouse gas (GHG) fluxes, particularly methane (CH(4)) and nitrous oxide (N(2)O) 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 CO(2), CH(4), and N(2...

Descripción completa

Detalles Bibliográficos
Autores principales: Debouk, Haifa, Altimir, Núria, Sebastià, Maria-Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120723/
https://www.ncbi.nlm.nih.gov/pubmed/30181960
http://dx.doi.org/10.1016/j.mex.2018.07.021
_version_ 1783352318251499520
author Debouk, Haifa
Altimir, Núria
Sebastià, Maria-Teresa
author_facet Debouk, Haifa
Altimir, Núria
Sebastià, Maria-Teresa
author_sort Debouk, Haifa
collection PubMed
description Measurements of greenhouse gas (GHG) fluxes, particularly methane (CH(4)) and nitrous oxide (N(2)O) 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 CO(2), CH(4), and N(2)O 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 CH(4) and N(2)O 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.
format Online
Article
Text
id pubmed-6120723
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-61207232018-09-04 Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas Debouk, Haifa Altimir, Núria Sebastià, Maria-Teresa MethodsX Agricultural and Biological Science Measurements of greenhouse gas (GHG) fluxes, particularly methane (CH(4)) and nitrous oxide (N(2)O) 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 CO(2), CH(4), and N(2)O 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 CH(4) and N(2)O 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. Elsevier 2018-08-22 /pmc/articles/PMC6120723/ /pubmed/30181960 http://dx.doi.org/10.1016/j.mex.2018.07.021 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Debouk, Haifa
Altimir, Núria
Sebastià, Maria-Teresa
Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
title Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
title_full Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
title_fullStr Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
title_full_unstemmed Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
title_short Maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
title_sort maximizing the information obtained from chamber-based greenhouse gas exchange measurements in remote areas
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120723/
https://www.ncbi.nlm.nih.gov/pubmed/30181960
http://dx.doi.org/10.1016/j.mex.2018.07.021
work_keys_str_mv AT deboukhaifa maximizingtheinformationobtainedfromchamberbasedgreenhousegasexchangemeasurementsinremoteareas
AT altimirnuria maximizingtheinformationobtainedfromchamberbasedgreenhousegasexchangemeasurementsinremoteareas
AT sebastiamariateresa maximizingtheinformationobtainedfromchamberbasedgreenhousegasexchangemeasurementsinremoteareas