Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales
Sara Knox, Sheel Bansal, Gavin McNicol, Karina V. R. Schäfer, Cove Sturtevant, Masahito Ueyama, Alex Valach, Dennis Baldocchi, Kyle Delwiche, Ankur R. Desai, E. S. Euskirchen, Jinxun Liu, Annalea Lohila, Avni Malhotra, Lulie Melling, W. J. Riley, Benjamin R. K. Runkle, Jessica Turner, Rodrigo Vargas, Qing Zhu, Tuula Alto, Etienne Fluet‐Chouinard, Mathias Goeckede, Joe R. Melton, Oliver Sonnentag, Timo Vesala, Eric J. Ward, Zhen Zhang, Sarah Féron, Zutao Ouyang, Pavel Alekseychik, Mika Aurela, Gil Bohrer, David I. Campbell, Jiquan Chen, Housen Chu, Higo J. Dalmagro, Jordan P. Goodrich, Pia Gottschalk, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, Minseok Kang, Franziska Koebsch, Ivan Mammarella, Mats B. Nilsson, Keisuke Ono, Matthias Peichl, Olli Peltola, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Jed P. Sparks, Eeva‐Stiina Tuittila, George L. Vourlitis, Guan Xhuan Wong, L. Windham‐Myers, Benjamin Poulter, Robert B. Jackson, Sara Knox, Sheel Bansal, Gavin McNicol, Karina V. R. Schäfer, Cove Sturtevant, Masahito Ueyama, Alex Valach, Dennis Baldocchi, Kyle Delwiche, Ankur R. Desai, E. S. Euskirchen, Jinxun Liu, Annalea Lohila, Avni Malhotra, Lulie Melling, W. J. Riley, Benjamin R. K. Runkle, Jessica Turner, Rodrigo Vargas, Qing Zhu, Tuula Alto, Etienne Fluet‐Chouinard, Mathias Goeckede, Joe R. Melton, Oliver Sonnentag, Timo Vesala, Eric J. Ward, Zhen Zhang, Sarah Féron, Zutao Ouyang, Pavel Alekseychik, Mika Aurela, Gil Bohrer, David I. Campbell, Jiquan Chen, Housen Chu, Higo J. Dalmagro, Jordan P. Goodrich, Pia Gottschalk, Takashi Hirano, Hiroki Iwata, Gerald Jurasinski, Minseok Kang, Franziska Koebsch, Ivan Mammarella, Mats B. Nilsson, Keisuke Ono, Matthias Peichl, Olli Peltola, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Jed P. Sparks, Eeva‐Stiina Tuittila, George L. Vourlitis, Guan Xhuan Wong, L. Windham‐Myers, Benjamin Poulter, Robert B. Jackson
Abstract
While wetlands are the largest natural source of methane (CH4) to the atmosphere, they represent a large source of uncertainty in the global CH4 budget due to the complex biogeochemical controls on CH4 dynamics. Here we present, to our knowledge, the first multi-site synthesis of how predictors of CH4 fluxes (FCH4) in freshwater wetlands vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, and random forests) in a wavelet-based multi-resolution framework to assess the importance of environmental predictors, nonlinearities and lags on FCH4 across 23 eddy covariance sites. Seasonally, soil and air temperature were dominant predictors of FCH4 at sites with smaller seasonal variation in water table depth (WTD). In contrast, WTD was the dominant predictor for wetlands with smaller variations in temperature (e.g., seasonal tropical/subtropical wetlands). Changes in seasonal FCH4 lagged fluctuations in WTD by ~17 ± 11 days, and lagged air and soil temperature by median values of 8 ± 16 and 5 ± 15 days, respectively. Temperature and WTD were also dominant predictors at the multiday scale. Atmospheric pressure (PA) was another important multiday scale predictor for peat-dominated sites, with drops in PA coinciding with synchronous releases of CH4. At the diel scale, synchronous relationships with latent heat flux and vapor pressure deficit suggest that physical processes controlling evaporation and boundary layer mixing exert similar controls on CH4 volatilization, and suggest the influence of pressurized ventilation in aerenchymatous vegetation. In addition, 1- to 4-h lagged relationships with ecosystem photosynthesis indicate recent carbon substrates, such as root exudates, may also control FCH4. By addressing issues of scale, asynchrony, and nonlinearity, this work improves understanding of the predictors and timing of wetland FCH4 that can inform future studies and models, and help constrain wetland CH4 emissions.- Cite:
- Sara Knox, Sheel Bansal, Gavin McNicol, Karina V. R. Schäfer, Cove Sturtevant, Masahito Ueyama, Alex Valach, Dennis Baldocchi, Kyle Delwiche, Ankur R. Desai, E. S. Euskirchen, Jinxun Liu, Annalea Lohila, Avni Malhotra, Lulie Melling, W. J. Riley, Benjamin R. K. Runkle, Jessica Turner, Rodrigo Vargas, et al.. 2021. Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales. Global Change Biology, Volume 27, Issue 15, 27(15):3582–3604.
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@article{Knox-2021-Identifying,
title = "Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales",
author = {Knox, Sara and
Bansal, Sheel and
McNicol, Gavin and
Sch{\"a}fer, Karina V. R. and
Sturtevant, Cove and
Ueyama, Masahito and
Valach, Alex and
Baldocchi, Dennis and
Delwiche, Kyle and
Desai, Ankur R. and
Euskirchen, E. S. and
Liu, Jinxun and
Lohila, Annalea and
Malhotra, Avni and
Melling, Lulie and
Riley, W. J. and
Runkle, Benjamin R. K. and
Turner, Jessica and
Vargas, Rodrigo and
Zhu, Qing and
Alto, Tuula and
Fluet‐Chouinard, Etienne and
Goeckede, Mathias and
Melton, Joe R. and
Sonnentag, Oliver and
Vesala, Timo and
Ward, Eric J. and
Zhang, Zhen and
F{\'e}ron, Sarah and
Ouyang, Zutao and
Alekseychik, Pavel and
Aurela, Mika and
Bohrer, Gil and
Campbell, David I. and
Chen, Jiquan and
Chu, Housen and
Dalmagro, Higo J. and
Goodrich, Jordan P. and
Gottschalk, Pia and
Hirano, Takashi and
Iwata, Hiroki and
Jurasinski, Gerald and
Kang, Minseok and
Koebsch, Franziska and
Mammarella, Ivan and
Nilsson, Mats B. and
Ono, Keisuke and
Peichl, Matthias and
Peltola, Olli and
Ryu, Youngryel and
Sachs, Torsten and
Sakabe, Ayaka and
Sparks, Jed P. and
Tuittila, Eeva‐Stiina and
Vourlitis, George L. and
Wong, Guan Xhuan and
Windham‐Myers, L. and
Poulter, Benjamin and
Jackson, Robert B. and
Knox, Sara and
Bansal, Sheel and
McNicol, Gavin and
Sch{\"a}fer, Karina V. R. and
Sturtevant, Cove and
Ueyama, Masahito and
Valach, Alex and
Baldocchi, Dennis and
Delwiche, Kyle and
Desai, Ankur R. and
Euskirchen, E. S. and
Liu, Jinxun and
Lohila, Annalea and
Malhotra, Avni and
Melling, Lulie and
Riley, W. J. and
Runkle, Benjamin R. K. and
Turner, Jessica and
Vargas, Rodrigo and
Zhu, Qing and
Alto, Tuula and
Fluet‐Chouinard, Etienne and
Goeckede, Mathias and
Melton, Joe R. and
Sonnentag, Oliver and
Vesala, Timo and
Ward, Eric J. and
Zhang, Zhen and
F{\'e}ron, Sarah and
Ouyang, Zutao and
Alekseychik, Pavel and
Aurela, Mika and
Bohrer, Gil and
Campbell, David I. and
Chen, Jiquan and
Chu, Housen and
Dalmagro, Higo J. and
Goodrich, Jordan P. and
Gottschalk, Pia and
Hirano, Takashi and
Iwata, Hiroki and
Jurasinski, Gerald and
Kang, Minseok and
Koebsch, Franziska and
Mammarella, Ivan and
Nilsson, Mats B. and
Ono, Keisuke and
Peichl, Matthias and
Peltola, Olli and
Ryu, Youngryel and
Sachs, Torsten and
Sakabe, Ayaka and
Sparks, Jed P. and
Tuittila, Eeva‐Stiina and
Vourlitis, George L. and
Wong, Guan Xhuan and
Windham‐Myers, L. and
Poulter, Benjamin and
Jackson, Robert B.},
journal = "Global Change Biology, Volume 27, Issue 15",
volume = "27",
number = "15",
year = "2021",
publisher = "Wiley",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G21-92001",
doi = "10.1111/gcb.15661",
pages = "3582--3604",
abstract = "While wetlands are the largest natural source of methane (CH4) to the atmosphere, they represent a large source of uncertainty in the global CH4 budget due to the complex biogeochemical controls on CH4 dynamics. Here we present, to our knowledge, the first multi-site synthesis of how predictors of CH4 fluxes (FCH4) in freshwater wetlands vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, and random forests) in a wavelet-based multi-resolution framework to assess the importance of environmental predictors, nonlinearities and lags on FCH4 across 23 eddy covariance sites. Seasonally, soil and air temperature were dominant predictors of FCH4 at sites with smaller seasonal variation in water table depth (WTD). In contrast, WTD was the dominant predictor for wetlands with smaller variations in temperature (e.g., seasonal tropical/subtropical wetlands). Changes in seasonal FCH4 lagged fluctuations in WTD by {\textasciitilde}17 {\mbox{$\pm$}} 11 days, and lagged air and soil temperature by median values of 8 {\mbox{$\pm$}} 16 and 5 {\mbox{$\pm$}} 15 days, respectively. Temperature and WTD were also dominant predictors at the multiday scale. Atmospheric pressure (PA) was another important multiday scale predictor for peat-dominated sites, with drops in PA coinciding with synchronous releases of CH4. At the diel scale, synchronous relationships with latent heat flux and vapor pressure deficit suggest that physical processes controlling evaporation and boundary layer mixing exert similar controls on CH4 volatilization, and suggest the influence of pressurized ventilation in aerenchymatous vegetation. In addition, 1- to 4-h lagged relationships with ecosystem photosynthesis indicate recent carbon substrates, such as root exudates, may also control FCH4. By addressing issues of scale, asynchrony, and nonlinearity, this work improves understanding of the predictors and timing of wetland FCH4 that can inform future studies and models, and help constrain wetland CH4 emissions.",
}
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<abstract>While wetlands are the largest natural source of methane (CH4) to the atmosphere, they represent a large source of uncertainty in the global CH4 budget due to the complex biogeochemical controls on CH4 dynamics. Here we present, to our knowledge, the first multi-site synthesis of how predictors of CH4 fluxes (FCH4) in freshwater wetlands vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, and random forests) in a wavelet-based multi-resolution framework to assess the importance of environmental predictors, nonlinearities and lags on FCH4 across 23 eddy covariance sites. Seasonally, soil and air temperature were dominant predictors of FCH4 at sites with smaller seasonal variation in water table depth (WTD). In contrast, WTD was the dominant predictor for wetlands with smaller variations in temperature (e.g., seasonal tropical/subtropical wetlands). Changes in seasonal FCH4 lagged fluctuations in WTD by ~17 \pm 11 days, and lagged air and soil temperature by median values of 8 \pm 16 and 5 \pm 15 days, respectively. Temperature and WTD were also dominant predictors at the multiday scale. Atmospheric pressure (PA) was another important multiday scale predictor for peat-dominated sites, with drops in PA coinciding with synchronous releases of CH4. At the diel scale, synchronous relationships with latent heat flux and vapor pressure deficit suggest that physical processes controlling evaporation and boundary layer mixing exert similar controls on CH4 volatilization, and suggest the influence of pressurized ventilation in aerenchymatous vegetation. In addition, 1- to 4-h lagged relationships with ecosystem photosynthesis indicate recent carbon substrates, such as root exudates, may also control FCH4. By addressing issues of scale, asynchrony, and nonlinearity, this work improves understanding of the predictors and timing of wetland FCH4 that can inform future studies and models, and help constrain wetland CH4 emissions.</abstract>
<identifier type="citekey">Knox-2021-Identifying</identifier>
<identifier type="doi">10.1111/gcb.15661</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G21-92001</url>
</location>
<part>
<date>2021</date>
<detail type="volume"><number>27</number></detail>
<detail type="issue"><number>15</number></detail>
<extent unit="page">
<start>3582</start>
<end>3604</end>
</extent>
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%0 Journal Article %T Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales %A Knox, Sara %A Bansal, Sheel %A McNicol, Gavin %A Schäfer, Karina V. R. %A Sturtevant, Cove %A Ueyama, Masahito %A Valach, Alex %A Baldocchi, Dennis %A Delwiche, Kyle %A Desai, Ankur R. %A Euskirchen, E. S. %A Liu, Jinxun %A Lohila, Annalea %A Malhotra, Avni %A Melling, Lulie %A Riley, W. J. %A Runkle, Benjamin R. K. %A Turner, Jessica %A Vargas, Rodrigo %A Zhu, Qing %A Alto, Tuula %A Fluet‐Chouinard, Etienne %A Goeckede, Mathias %A Melton, Joe R. %A Sonnentag, Oliver %A Vesala, Timo %A Ward, Eric J. %A Zhang, Zhen %A Féron, Sarah %A Ouyang, Zutao %A Alekseychik, Pavel %A Aurela, Mika %A Bohrer, Gil %A Campbell, David I. %A Chen, Jiquan %A Chu, Housen %A Dalmagro, Higo J. %A Goodrich, Jordan P. %A Gottschalk, Pia %A Hirano, Takashi %A Iwata, Hiroki %A Jurasinski, Gerald %A Kang, Minseok %A Koebsch, Franziska %A Mammarella, Ivan %A Nilsson, Mats B. %A Ono, Keisuke %A Peichl, Matthias %A Peltola, Olli %A Ryu, Youngryel %A Sachs, Torsten %A Sakabe, Ayaka %A Sparks, Jed P. %A Tuittila, Eeva‐Stiina %A Vourlitis, George L. %A Wong, Guan Xhuan %A Windham‐Myers, L. %A Poulter, Benjamin %A Jackson, Robert B. %J Global Change Biology, Volume 27, Issue 15 %D 2021 %V 27 %N 15 %I Wiley %F Knox-2021-Identifying %X While wetlands are the largest natural source of methane (CH4) to the atmosphere, they represent a large source of uncertainty in the global CH4 budget due to the complex biogeochemical controls on CH4 dynamics. Here we present, to our knowledge, the first multi-site synthesis of how predictors of CH4 fluxes (FCH4) in freshwater wetlands vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, and random forests) in a wavelet-based multi-resolution framework to assess the importance of environmental predictors, nonlinearities and lags on FCH4 across 23 eddy covariance sites. Seasonally, soil and air temperature were dominant predictors of FCH4 at sites with smaller seasonal variation in water table depth (WTD). In contrast, WTD was the dominant predictor for wetlands with smaller variations in temperature (e.g., seasonal tropical/subtropical wetlands). Changes in seasonal FCH4 lagged fluctuations in WTD by ~17 \pm 11 days, and lagged air and soil temperature by median values of 8 \pm 16 and 5 \pm 15 days, respectively. Temperature and WTD were also dominant predictors at the multiday scale. Atmospheric pressure (PA) was another important multiday scale predictor for peat-dominated sites, with drops in PA coinciding with synchronous releases of CH4. At the diel scale, synchronous relationships with latent heat flux and vapor pressure deficit suggest that physical processes controlling evaporation and boundary layer mixing exert similar controls on CH4 volatilization, and suggest the influence of pressurized ventilation in aerenchymatous vegetation. In addition, 1- to 4-h lagged relationships with ecosystem photosynthesis indicate recent carbon substrates, such as root exudates, may also control FCH4. By addressing issues of scale, asynchrony, and nonlinearity, this work improves understanding of the predictors and timing of wetland FCH4 that can inform future studies and models, and help constrain wetland CH4 emissions. %R 10.1111/gcb.15661 %U https://gwf-uwaterloo.github.io/gwf-publications/G21-92001 %U https://doi.org/10.1111/gcb.15661 %P 3582-3604
Markdown (Informal)
[Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales](https://gwf-uwaterloo.github.io/gwf-publications/G21-92001) (Knox et al., GWF 2021)
- Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales (Knox et al., GWF 2021)
ACL
- Sara Knox, Sheel Bansal, Gavin McNicol, Karina V. R. Schäfer, Cove Sturtevant, Masahito Ueyama, Alex Valach, Dennis Baldocchi, Kyle Delwiche, Ankur R. Desai, E. S. Euskirchen, Jinxun Liu, Annalea Lohila, Avni Malhotra, Lulie Melling, W. J. Riley, Benjamin R. K. Runkle, Jessica Turner, Rodrigo Vargas, et al.. 2021. Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales. Global Change Biology, Volume 27, Issue 15, 27(15):3582–3604.