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Schenk, Jonathan
Publications (9 of 9) Show all publications
Sieczko, A. K., Schenk, J., Rudberg, D., Nguyen, T. D., Pajala, G., Sawakuchi, H. & Bastviken, D. (2023). Data set associated with the manuscript submitted to Science of the Total Environment by Sieczko et.al 2023. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Data set associated with the manuscript submitted to Science of the Total Environment by Sieczko et.al 2023
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2023 (English)Data set
Place, publisher, year
Linköping: Linköping University Electronic Press, 2023
National Category
Natural Sciences
Identifiers
urn:nbn:se:liu:diva-192396 (URN)10.48360/y2xn-1g08 (DOI)
Available from: 2023-03-14 Created: 2023-03-14 Last updated: 2023-04-20Bibliographically approved
Pajala, G., Rudberg, D., Gålfalk, M., Melack, J. M., Macintyre, S., Karlsson, J., . . . Bastviken, D. (2023). Source data for ” Higher apparent gas transfer velocities for CO2 compared to CH4 in small lakes”. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Source data for ” Higher apparent gas transfer velocities for CO2 compared to CH4 in small lakes”
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2023 (English)Data set
Place, publisher, year
Linköping: Linköping University Electronic Press, 2023
Keywords
carbon dioxide, methane, lake, gas transfer, greenhouse gas, piston velocity
National Category
Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-190160 (URN)10.48360/2f5f-2495 (DOI)
Funder
EU, Horizon 2020, 725546Knut and Alice Wallenberg Foundation, 2016.0083Swedish Research Council, 2016-04829Swedish Research Council Formas, 2018-01794
Note

2023-04-06 Version 2.0 published. Minor changes in the structure of the data file. There were no changes in the data.

2023-03-23 The title was changed from

Source data for “The effects of water column dissolved oxygen concentrations on lake methane emissions: Results from a whole-lake oxygenation experiment” to "Source data for ”Higher apparent gas transfer velocities for CO2 compared to CH4 in small lakes”"

2022-11-30 Version 1.0 published.

Available from: 2022-11-24 Created: 2022-11-24 Last updated: 2023-04-06Bibliographically approved
Schenk, J., Sieczko, A. K., Rudberg, D., Pajala, G., Sawakuchi, H. O., Gålfalk, M., . . . Bastviken, D. (2022). Evaluating Empirical Models of Lake Methane Emission and Surface Water Concentration across Hemiboreal to Subarctic Regions. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Evaluating Empirical Models of Lake Methane Emission and Surface Water Concentration across Hemiboreal to Subarctic Regions
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2022 (English)Data set, Aggregated data
Place, publisher, year
Linköping: Linköping University Electronic Press, 2022
National Category
Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-184624 (URN)10.48360/962r-3z54 (DOI)
Available from: 2022-04-28 Created: 2022-04-28 Last updated: 2022-05-30
Schenk, J. (2022). Methane dynamics in northern lakes: Insights from multi-scale observations. (Doctoral dissertation). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Methane dynamics in northern lakes: Insights from multi-scale observations
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Methane (CH4) is a potent greenhouse gas which is emitted to the atmosphere from both natural and anthropogenic sources. Current evidence indicates that lakes account for a large part of the global emissions of CH4, but their contribution is difficult to quantify because of large temporal and spatial variability in processes leading to CH4 fluxes from lakes to the atmosphere. Making sense of the complexity and variability of CH4 emissions from lakes requires observations covering the range of temporal and spatial scales at which these processes occur, both within and between lakes. Northern regions are of particular interest for such studies because they contain a larger number of lakes than any other region in the world and they are disproportionately affected by climate change, with possible consequences for future CH4 emissions.

The aim of this thesis was to investigate patterns of CH4 dynamics and emissions in several lakes distributed in different climatic regions of Sweden, paying particular attention to spatial and temporal variability of CH4 fluxes and concentrations. Fluxes, concentrations, carbon stable isotope signature of CH4, and a range of commonly monitored lake characteristics were measured several times during one year at multiple locations in each lake. The measurements provided an extensive set of observations of CH4 concentrations and fluxes in lakes, together with possible environmental drivers. These observations were then used to investigate patterns of CH4 dynamics in northern lakes and to assess the ability of empirical and process-based models to predict CH4 concentrations and fluxes in lakes.

The results indicate that simple empirical models, consisting of linear regressions between explanatory variables and CH4 fluxes and concentrations averaged over the lake surface and ice-free period of the year, can be useful in some specific cases (for example describing ebullitive fluxes from total phosphorus or chlorophyll a concentrations). However, it was also noted that using such models for extrapolation can lead to large errors, especially if the observations do not account for temporal and spatial variability of CH4 fluxes and concentrations. An example of high variability was seen in day-night measurements of CH4 fluxes in four lakes over several months. To try to compensate for some of the shortcomings of empirical models, an established process-based and one-dimensional lake model was used to simulate CH4 concentration in the water column of the studied lakes. Predictions were in good agreement with observations in several of the investigated lakes, considering that the model was not pre-calibrated for any of the lake specifically. However, it was also clear that there can be key processes that require specific consideration in process-based models, and some degree of simplification is needed, especially when detailed information on the modelled systems is not available. The simplifications and assumptions that need to be made can be informed by the study and observation of relevant processes in situ. For example, groundwater was found to potentially contribute a major part of CH4 stored in one small boreal lake using measurements of stable isotope signature of CH4 in littoral sediment and deep water of that lake, as well as in the groundwater in the mire next to it. Stable isotope measurements in five other lakes also revealed consistent differences in CH4 sources to the surface and deep zones of lakes when they are separated by thermal stratification of the water column. Such knowledge could be used in the design of numerical models of lakes with the objective to improve predictions of current and future emissions of CH4 from these environments.

Overall, this thesis contributes to the current knowledge on assessment of CH4 emissions from lakes at several temporal and spatial scales. It also emphasizes critical aspects which must be considered to reduce bias in future empirical and process-based models of CH4 in lakes.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2022. p. 37
Series
Linköping Studies in Arts and Sciences, ISSN 0282-9800 ; 837
Keywords
Methane, Lakes, Variability, Sampling design, Models
National Category
Climate Research
Identifiers
urn:nbn:se:liu:diva-185123 (URN)10.3384/9789179293871 (DOI)9789179293864 (ISBN)9789179293871 (ISBN)
Public defence
2022-08-24, TEMCAS, Building T, Campus Valla, Linköping, 12:15 (English)
Opponent
Supervisors
Available from: 2022-05-18 Created: 2022-05-18 Last updated: 2022-05-18Bibliographically approved
Pajala, G., Sawakuchi, H. O., Rudberg, D., Schenk, J., Sieczko, A. K., Seekell, D., . . . Bastviken, D. (2022). Source data for “The effects of water column dissolved oxygen concentrations on lake methane emissions: Results from a whole-lake oxygenation experiment”. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Source data for “The effects of water column dissolved oxygen concentrations on lake methane emissions: Results from a whole-lake oxygenation experiment”
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2022 (English)Data set, Aggregated data
Place, publisher, year
Linköping: Linköping University Electronic Press, 2022
National Category
Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-187633 (URN)10.48360/ce6v-gb22 (DOI)
Note

History:

2022-08-22  Version 1.0 published 

2022-09-09  Version 1.1 of the dataset with minor revisions published. Version 1.0 hidden.

2023-04-17  Version 1.2 of the dataset with minor revisions published. Version 1.1 was hidden, and had been downloadet 20 times in total.

2023-09-25  Version 2.0 of the dataset with minor revisions published. Version 1.2 was hidden, and had been downloadet 11 times in total.

Available from: 2022-08-17 Created: 2022-08-17 Last updated: 2023-09-25
Schenk, J., Sawakuchi, H. O., Sieczko, A. K., Pajala, G., Rudberg, D., Hagberg, E., . . . Bastviken, D. (2021). Data associated with the manuscript "Methane in Lakes: Variability in Stable Carbon Isotopic Composition and the Potential Importance of Groundwater Input". Linköping: Christoph Links Verlag
Open this publication in new window or tab >>Data associated with the manuscript "Methane in Lakes: Variability in Stable Carbon Isotopic Composition and the Potential Importance of Groundwater Input"
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2021 (English)Data set, Aggregated data
Place, publisher, year
Linköping: Christoph Links Verlag, 2021
National Category
Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-173724 (URN)10.48360/5PPN-C440 (DOI)
Available from: 2021-03-03 Created: 2021-03-03 Last updated: 2022-03-08Bibliographically approved
Rudberg, D., Duc, N. T., Schenk, J., Sieczko, A. K., Pajala, G., Sawakuchi, H. O., . . . Bastviken, D. (2021). Diel Variability of CO2 Emissions From Northern Lakes. Journal of Geophysical Research - Biogeosciences, 126(10), Article ID e2021JG006246.
Open this publication in new window or tab >>Diel Variability of CO2 Emissions From Northern Lakes
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2021 (English)In: Journal of Geophysical Research - Biogeosciences, ISSN 2169-8953, E-ISSN 2169-8961, Vol. 126, no 10, article id e2021JG006246Article in journal (Refereed) Published
Abstract [en]

Lakes are generally supersaturated in carbon dioxide (CO2) and emitters of CO2 to the atmosphere. However, estimates of CO2 flux (FCO2) from lakes are seldom based on direct flux measurements and usually do not account for nighttime emissions, yielding risk of biased assessments. Here, we present direct FCO2 measurements from automated floating chambers collected every 2-3 hr and spanning 115 24 hr periods in three boreal lakes during summer stratification and before and after autumn mixing in the most eutrophic lake of these. We observed 40%-67% higher mean FCO2 in daytime during periods of surface water CO2 supersaturation in all lakes. Day-night differences in wind speed were correlated with the day-night FCO2 differences in the two larger lakes, but in the smallest and most wind-sheltered lake peaks of FCO2 coincided with low-winds at night. During stratification in the eutrophic lake, CO2 was near equilibrium and diel variability of FCO2 insignificant, but after autumn mixing FCO2 was high with distinct diel variability making this lake a net CO2 source on an annual basis. We found that extrapolating daytime measurements to 24 hr periods overestimated FCO2 by up to 30%, whereas extrapolating measurements from the stratified period to annual rates in the eutrophic lake underestimated FCO2 by 86%. This shows the importance of accounting for diel and seasonal variability in lake CO2 emission estimates.

Place, publisher, year, edition, pages
Hoboken, United States: Wiley-Blackwell, 2021
Keywords
carbon dioxide fluxes; diel variability; automated flux chambers; lake greenhouse gas emissions; autumn mixing
National Category
Physical Geography
Identifiers
urn:nbn:se:liu:diva-181023 (URN)10.1029/2021JG006246 (DOI)000711969900032 ()2-s2.0-85118228286 (Scopus ID)
Note

Funding Agencies: Knut & Alice Wallenberg Foundation [2016.0083]; European Research Council (ERC) [725546]; Swedish Research Council, European Commission [2017-00635, 2016-04829]; FORMAS (the Swedish Research Council for Sustainable Development) [2018-01794]

Available from: 2021-11-16 Created: 2021-11-16 Last updated: 2022-08-25Bibliographically approved
Schenk, J., Sawakuchi, H. O., Sieczko, A. K., Pajala, G., Rudberg, D., Hagberg, E., . . . Bastviken, D. (2021). Methane in Lakes: Variability in Stable Carbon Isotopic Composition and the Potential Importance of Groundwater Input. Frontiers in Earth Science, 9, Article ID 722215.
Open this publication in new window or tab >>Methane in Lakes: Variability in Stable Carbon Isotopic Composition and the Potential Importance of Groundwater Input
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2021 (English)In: Frontiers in Earth Science, E-ISSN 2296-6463, Vol. 9, article id 722215Article in journal (Refereed) Published
Abstract [en]

Methane (CH4) is an important component of the carbon (C) cycling in lakes. CH4 production enables carbon in sediments to be either reintroduced to the food web via CH4 oxidation or emitted as a greenhouse gas making lakes one of the largest natural sources of atmospheric CH4. Large stable carbon isotopic fractionation during CH4 oxidation makes changes in 13C:12C ratio (δ13C) a powerful and widely used tool to determine the extent to which lake CH4 is oxidized, rather than emitted. This relies on correct δ13C values of original CH4 sources, the variability of which has rarely been investigated systematically in lakes. In this study, we measured δ13C in CH4 bubbles in littoral sediments and in CH4 dissolved in the anoxic hypolimnion of six boreal lakes with different characteristics. The results indicate that δ13C of CH4 sources is consistently higher (less 13C depletion) in littoral sediments than in deep waters across boreal and subarctic lakes. Variability in organic matter substrates across depths is a potential explanation. In one of the studied lakes available data from nearby soils showed correspondence between δ13C-CH4 in groundwater and deep lake water, and input from the catchment of CH4 via groundwater exceeded atmospheric CH4 emissions tenfold over a period of 1 month. It indicates that lateral hydrological transport of CH4 can explain the observed δ13C-CH4 patterns and be important for lake CH4 cycling. Our results have important consequences for modelling and process assessments relative to lake CH4 using δ13C, including for CH4 oxidation, which is a key regulator of lake CH4 emissions.

Place, publisher, year, edition, pages
Lausanne, Switzerland: Frontiers Media S.A., 2021
Keywords
General Earth and Planetary Sciences, stable carbon isotope, methane, lake, groundwater, endmember
National Category
Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-181136 (URN)10.3389/feart.2021.722215 (DOI)000717647200001 ()2-s2.0-85118920484 (Scopus ID)
Funder
EU, European Research CouncilSwedish Research CouncilSwedish Research Council FormasKnut and Alice Wallenberg Foundation
Note

Funding: European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programmeEuropean Research Council (ERC) [725546]; Swedish Research CouncilSwedish Research CouncilEuropean Commission [201604829]; FORMASSwedish Research Council Formas [2018-01794]; Knut and Alice Wallenberg FoundationKnut & Alice Wallenberg Foundation [2016.0083]

Available from: 2021-11-17 Created: 2021-11-17 Last updated: 2023-08-28Bibliographically approved
Rudberg, D., Thanh Duc, N., Schenk, J., Sieczko, A. K., Gustav, P., Sawakuchi, H. O., . . . Bastviken, D. (2020). Source data for "Diel variability of CO2 emissions from Northern lakes and the effect of lake mixing". Linköping
Open this publication in new window or tab >>Source data for "Diel variability of CO2 emissions from Northern lakes and the effect of lake mixing"
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2020 (English)Data set, Aggregated data
Place, publisher, year
Linköping: , 2020
National Category
Environmental Sciences
Identifiers
urn:nbn:se:liu:diva-171877 (URN)10.48360/bn1m-1287 (DOI)
Available from: 2020-12-10 Created: 2020-12-10 Last updated: 2022-03-08
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