Articles | Volume 16, issue 3
https://doi.org/10.5194/bg-16-785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest
Elodie Alice Courtois
CORRESPONDING AUTHOR
Department of Biology University of Antwerp, Centers of Excellence Global Change Ecology and PLECO (Plants and
Ecosystems), Universiteitsplein 1, 2610 Wilrijk, Belgium
Laboratoire Ecologie, évolution, interactions des systèmes
amazoniens (LEEISA), Université de Guyane, CNRS, IFREMER, 97300 Cayenne,
French Guiana
Clément Stahl
INRA, UMR EcoFoG, CNRS, Cirad, AgroParisTech, Université des
Antilles, Université de Guyane, 97310 Kourou, France
Benoit Burban
INRA, UMR EcoFoG, CNRS, Cirad, AgroParisTech, Université des
Antilles, Université de Guyane, 97310 Kourou, France
Joke Van den Berge
Department of Biology University of Antwerp, Centers of Excellence Global Change Ecology and PLECO (Plants and
Ecosystems), Universiteitsplein 1, 2610 Wilrijk, Belgium
Daniel Berveiller
CNRS/Université Paris-sud, 362 rue du doyen André Guinier,
91405 Orsay CEDEX, France
Laëtitia Bréchet
Department of Biology University of Antwerp, Centers of Excellence Global Change Ecology and PLECO (Plants and
Ecosystems), Universiteitsplein 1, 2610 Wilrijk, Belgium
INRA, UMR EcoFoG, CNRS, Cirad, AgroParisTech, Université des
Antilles, Université de Guyane, 97310 Kourou, France
Jennifer Larned Soong
Department of Biology University of Antwerp, Centers of Excellence Global Change Ecology and PLECO (Plants and
Ecosystems), Universiteitsplein 1, 2610 Wilrijk, Belgium
Climate and Ecosystem Sciences Division, Lawrence Berkeley National
Laboratory, 94720, Berkeley, USA
Nicola Arriga
Department of Biology University of Antwerp, Centers of Excellence Global Change Ecology and PLECO (Plants and
Ecosystems), Universiteitsplein 1, 2610 Wilrijk, Belgium
Josep Peñuelas
CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193
Catalonia, Spain
CREAF, Cerdanyola del Vallès, 08193 Catalonia, Spain
Ivan August Janssens
Department of Biology University of Antwerp, Centers of Excellence Global Change Ecology and PLECO (Plants and
Ecosystems), Universiteitsplein 1, 2610 Wilrijk, Belgium
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30 citations as recorded by crossref.
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- A Method for Estimating Annual Cumulative Soil/Ecosystem Respiration and CH4 Flux from Sporadic Data Collected Using the Chamber Method M. Yang et al. 10.3390/atmos10100623
- Soil Respiration Is Influenced by Seasonality, Forest Succession and Contrasting Biophysical Controls in a Tropical Dry Forest in Northwestern Mexico M. Vargas-Terminel et al. 10.3390/soilsystems6040075
- Significant Diel Variation of Soil Respiration Suggests Aboveground and Belowground Controls in a Tropical Moist Forest in Puerto Rico O. Gutiérrez del Arroyo & T. Wood 10.1029/2019JG005353
- Mass spectrometric multiple soil-gas flux measurement system with a portable high-resolution mass spectrometer (MULTUM) coupled to an automatic chamber for continuous field observations N. Nakayama et al. 10.5194/amt-13-6657-2020
- Chronological dataset of soil respiration fluxes from a seasonally dry forest in Northwest México M. Vargas-Terminel et al. 10.1016/j.dib.2023.109716
- Global observation gaps of peatland greenhouse gas balances: needs and obstacles J. Zhao et al. 10.1007/s10533-023-01091-2
- Salinization, inundation and tree mortality interact to affect greenhouse gas emissions from stressed coastal forests G. Seyfried et al. 10.1016/j.soilbio.2023.109101
- ECOSENSE - Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks C. Werner et al. 10.3897/rio.10.e129357
- Optimizing the closure period for improved accuracy of chamber-based greenhouse gas flux estimates C. Johannesson et al. 10.1016/j.agrformet.2024.110289
- SER: An R package to characterize environmental regimes N. Wu et al. 10.1002/ece3.9882
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- Global Research Alliance N2O chamber methodology guidelines: Considerations for automated flux measurement P. Grace et al. 10.1002/jeq2.20124
- Effects of Drainage Water Management in a Corn–Soy Rotation on Soil N2O and CH4 Fluxes J. Hagedorn et al. 10.3390/nitrogen3010010
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- A new generation of sensors and monitoring tools to support climate-smart forestry practices C. Torresan et al. 10.1139/cjfr-2020-0295
- Disentangling Drought and Nutrient Effects on Soil Carbon Dioxide and Methane Fluxes in a Tropical Forest L. Bréchet et al. 10.3389/fenvs.2019.00180
- Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
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- Diurnal pattern and characteristic of soil respiration and net ecosystem carbon exchange in alpine meadow ecosystem on the northeastern Qinghai-Tibet Plateau Y. Liu et al. 10.1016/j.ecolind.2024.112180
- Comparison of greenhouse gas fluxes from tropical forests and oil palm plantations on mineral soil J. Drewer et al. 10.5194/bg-18-1559-2021
- Non-steady-state closed dynamic chamber to measure soil CO2 respiration: A protocol to reduce uncertainty I. Baneschi et al. 10.3389/fenvs.2022.1048948
- A high‐frequency greenhouse gas flux analysis tool: Insights from automated non‐steady‐state transparent soil chambers G. Themistokleous et al. 10.1111/ejss.13560
- Karacabey subasar orman ekosistemlerinde ormancılık faaliyetlerinin toprak CO2 ve CH4 salınımına etkisi T. Sarıyıldız 10.17474/artvinofd.1438751
- Seasonal agricultural wetlands act as potential source of N2O and CH4 emissions W. Ashiq et al. 10.1016/j.catena.2022.106184
- COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data B. Bond‐Lamberty et al. 10.1111/gcb.15353
- OpenToolFlux: An Open-Source Software for Estimating Gas Fluxes from Automatic Chamber Data C. Galea et al. 10.3390/agronomy13112842
- Utilizing Novel Field and Data Exploration Methods to Explore Hot Moments in High-Frequency Soil Nitrous Oxide Emissions Data: Opportunities and Challenges C. O’Connell et al. 10.3389/ffgc.2022.674348
- Soil N2O, CH4, and CO2 Fluxes in Forest, Grassland, and Tillage/No-Tillage Croplands in French Guiana (Amazonia) C. Petitjean et al. 10.3390/soilsystems3020029
- The unexpected long period of elevated CH4 emissions from an inundated fen meadow ended only with the occurrence of cattail (Typha latifolia) D. Antonijević et al. 10.1111/gcb.16713
30 citations as recorded by crossref.
- Topography Mediates the Response of Soil CO2 Efflux to Precipitation Over Days, Seasons, and Years M. Kopp et al. 10.1007/s10021-022-00786-1
- A Method for Estimating Annual Cumulative Soil/Ecosystem Respiration and CH4 Flux from Sporadic Data Collected Using the Chamber Method M. Yang et al. 10.3390/atmos10100623
- Soil Respiration Is Influenced by Seasonality, Forest Succession and Contrasting Biophysical Controls in a Tropical Dry Forest in Northwestern Mexico M. Vargas-Terminel et al. 10.3390/soilsystems6040075
- Significant Diel Variation of Soil Respiration Suggests Aboveground and Belowground Controls in a Tropical Moist Forest in Puerto Rico O. Gutiérrez del Arroyo & T. Wood 10.1029/2019JG005353
- Mass spectrometric multiple soil-gas flux measurement system with a portable high-resolution mass spectrometer (MULTUM) coupled to an automatic chamber for continuous field observations N. Nakayama et al. 10.5194/amt-13-6657-2020
- Chronological dataset of soil respiration fluxes from a seasonally dry forest in Northwest México M. Vargas-Terminel et al. 10.1016/j.dib.2023.109716
- Global observation gaps of peatland greenhouse gas balances: needs and obstacles J. Zhao et al. 10.1007/s10533-023-01091-2
- Salinization, inundation and tree mortality interact to affect greenhouse gas emissions from stressed coastal forests G. Seyfried et al. 10.1016/j.soilbio.2023.109101
- ECOSENSE - Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks C. Werner et al. 10.3897/rio.10.e129357
- Optimizing the closure period for improved accuracy of chamber-based greenhouse gas flux estimates C. Johannesson et al. 10.1016/j.agrformet.2024.110289
- SER: An R package to characterize environmental regimes N. Wu et al. 10.1002/ece3.9882
- Capturing temporal heterogeneity in soil nitrous oxide fluxes with a robust and low-cost automated chamber apparatus N. Lawrence & S. Hall 10.5194/amt-13-4065-2020
- Global Research Alliance N2O chamber methodology guidelines: Considerations for automated flux measurement P. Grace et al. 10.1002/jeq2.20124
- Effects of Drainage Water Management in a Corn–Soy Rotation on Soil N2O and CH4 Fluxes J. Hagedorn et al. 10.3390/nitrogen3010010
- Simultaneous tree stem and soil greenhouse gas (CO2, CH4, N2O) flux measurements: a novel design for continuous monitoring towards improving flux estimates and temporal resolution L. Bréchet et al. 10.1111/nph.17352
- A new generation of sensors and monitoring tools to support climate-smart forestry practices C. Torresan et al. 10.1139/cjfr-2020-0295
- Disentangling Drought and Nutrient Effects on Soil Carbon Dioxide and Methane Fluxes in a Tropical Forest L. Bréchet et al. 10.3389/fenvs.2019.00180
- Direct measurement forest carbon protocol: a commercial system-of-systems to incentivize forest restoration and management B. Marino et al. 10.7717/peerj.8891
- CO2 and CH4 fluxes from forest soil in the northern Da Xing’anling Mountains in Northeast China during the freezing and thawing periods of near-surface soil in 2018–2019 L. Yang et al. 10.1080/02827581.2023.2208874
- Diurnal pattern and characteristic of soil respiration and net ecosystem carbon exchange in alpine meadow ecosystem on the northeastern Qinghai-Tibet Plateau Y. Liu et al. 10.1016/j.ecolind.2024.112180
- Comparison of greenhouse gas fluxes from tropical forests and oil palm plantations on mineral soil J. Drewer et al. 10.5194/bg-18-1559-2021
- Non-steady-state closed dynamic chamber to measure soil CO2 respiration: A protocol to reduce uncertainty I. Baneschi et al. 10.3389/fenvs.2022.1048948
- A high‐frequency greenhouse gas flux analysis tool: Insights from automated non‐steady‐state transparent soil chambers G. Themistokleous et al. 10.1111/ejss.13560
- Karacabey subasar orman ekosistemlerinde ormancılık faaliyetlerinin toprak CO2 ve CH4 salınımına etkisi T. Sarıyıldız 10.17474/artvinofd.1438751
- Seasonal agricultural wetlands act as potential source of N2O and CH4 emissions W. Ashiq et al. 10.1016/j.catena.2022.106184
- COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data B. Bond‐Lamberty et al. 10.1111/gcb.15353
- OpenToolFlux: An Open-Source Software for Estimating Gas Fluxes from Automatic Chamber Data C. Galea et al. 10.3390/agronomy13112842
- Utilizing Novel Field and Data Exploration Methods to Explore Hot Moments in High-Frequency Soil Nitrous Oxide Emissions Data: Opportunities and Challenges C. O’Connell et al. 10.3389/ffgc.2022.674348
- Soil N2O, CH4, and CO2 Fluxes in Forest, Grassland, and Tillage/No-Tillage Croplands in French Guiana (Amazonia) C. Petitjean et al. 10.3390/soilsystems3020029
- The unexpected long period of elevated CH4 emissions from an inundated fen meadow ended only with the occurrence of cattail (Typha latifolia) D. Antonijević et al. 10.1111/gcb.16713
Latest update: 22 Nov 2024
Short summary
Measuring greenhouse gases (GHGs) from a natural ecosystem remains a contemporary challenge. We tested the use of appropriate technology for the estimation of soil fluxes of the three main GHGs in a tropical rainforest for 4 months. We showed that our design allowed the continuous high-frequency measurement of the three gases in a tropical biome and provide recommendations for its implementation. This study is a major step in the estimation of the global GHG budget of tropical forests.
Measuring greenhouse gases (GHGs) from a natural ecosystem remains a contemporary challenge. We...
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