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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type="given">Benjamin</namePart> <namePart type="family">Poulter</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Robert</namePart> <namePart type="given">B</namePart> <namePart type="family">Jackson</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <originInfo> <dateIssued>2021</dateIssued> </originInfo> <typeOfResource>text</typeOfResource> <genre authority="bibutilsgt">journal article</genre> <relatedItem type="host"> <titleInfo> <title>Global Change Biology, Volume 27, Issue 15</title> </titleInfo> <originInfo> <issuance>continuing</issuance> <publisher>Wiley</publisher> </originInfo> <genre authority="marcgt">periodical</genre> <genre authority="bibutilsgt">academic journal</genre> </relatedItem> <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> </part> </mods> </modsCollection>
%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.