Greenhouse Gas Fluxes of a Shallow Lake in South-Central North Dakota, USA

Tangen, Brian A.; Finocchiaro, Raymond G.; Gleason, Robert A.; Dahl, Charles F.

doi:10.1007/s13157-016-0782-3

Cited by 21 publications

(19 citation statements)

References 51 publications

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“…We obtained data for this study from a published, comprehensive database of wetland GHG fluxes [24]. The studies that constitute this database have resulted in numerous peer-reviewed publications detailing GHG fluxes of PPR wetlands [6,10,11,[25][26][27][28]. This database includes CH 4 , N 2 O, and CO 2 fluxes from nearly 200 seasonal and semipermanent (classification of [17]) PPR wetlands that were embedded in grasslands and croplands; data were collected between 2003 and 2016.…”

Section: Ghg Datamentioning

confidence: 99%

Hydrologic Lag Effects on Wetland Greenhouse Gas Fluxes

Tangen

Bansal

2019

Atmosphere

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Hydrologic margins of wetlands are narrow, transient zones between inundated and dry areas. As water levels fluctuate, the dynamic hydrology at margins may impact wetland greenhouse gas (GHG) fluxes that are sensitive to soil saturation. The Prairie Pothole Region of North America consists of millions of seasonally-ponded wetlands that are ideal for studying hydrologic transition states. Using a long-term GHG database with biweekly flux measurements from 88 seasonal wetlands, we categorized each sample event into wet to wet (W→W), dry to wet (D→W), dry to dry (D→D), or wet to dry (W→D) hydrologic states based on the presence or absence of ponded water from the previous and current event. Fluxes of methane were 5-times lower in the D→W compared to W→W states, indicating a lag ‘ramp-up’ period following ponding. Nitrous oxide fluxes were highest in the W→D state and accounted for 20% of total emissions despite accounting for only 5.2% of wetland surface area during the growing season. Fluxes of carbon dioxide were unaffected by transitions, indicating a rapid acclimation to current conditions by respiring organisms. Results of this study highlight how seasonal drying and re-wetting impact GHGs and demonstrate the importance of hydrologic transitions on total wetland GHG balance.

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Section: Ghg Datamentioning

confidence: 99%

Hydrologic Lag Effects on Wetland Greenhouse Gas Fluxes

Tangen

Bansal

2019

Atmosphere

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“…Historically, FCs for CO 2 required manual gas sampling followed by laboratory determination of gas concentrations, while newer FCs integrate continuous CO 2 sensors and automatic purging mechanisms that allow for longer deployments (Bastviken et al, 2015; Jonsson et al, 2008; Martinsen et al, 2018). While a single measurement is small in its spatial scale, multiple chambers have been used to quantify the spatial variability of gas emissions within and among lake habitats (Natchimuthu et al, 2016; Tangen et al, 2016). Similarly, measuring temporal variability of fluxes using FCs is common but in both cases, characterizing spatial and/or temporal variability with this approach is time intensive.…”

Section: Introductionmentioning

confidence: 99%

Comparing Spatial and Temporal Variation of Lake‐Atmosphere Carbon Dioxide Fluxes Using Multiple Methods

et al. 2020

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Lakes emit globally significant amounts of carbon dioxide (CO2) to the atmosphere, but quantifying these rates for individual lakes is extremely challenging. The exchange of CO2 across the air‐water interface is driven by physical, chemical, and biological processes in both the lake and the atmosphere that vary at multiple spatial and temporal scales. None of the methods we use to estimate CO2 flux fully capture this heterogeneous gas exchange. Here, we compared concurrent CO2 flux estimates from a single lake based on commonly used methods. These include floating chambers (FCs), eddy covariance (EC), and two concentration gradient‐based methods labeled fixed (F‐pCO₂) and spatial (S‐pCO₂). At the end of summer, cumulative carbon fluxes were similar between EC, F‐pCO₂, and S‐pCO₂ methods (−4, −4, and −9.5 gC m−2), while methods diverged in directionality of fluxes during the fall turnover period (−50, 43, and 38 gC m−2). Collectively, these results highlight the discrepancies among methods and the need to acknowledge the uncertainty when using any of them to approximate this heterogeneous flux.

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“…Aquatic ecosystems (e.g., lakes, rivers, and reservoirs) actively process terrestrial carbon and frequently supersaturated with CH 4 in most time (Blees et al, 2015;Diem et al, 2012;Wen et al, 2016;Yang & Flower, 2012). They are important sources to the global CH 4 budget (Bastviken et al, 2011;Tangen et al, 2016;Yang et al, 2011), and it was estimated that global inland waters (streams, rivers, lakes, and reservoirs) emit 0.65 Pg of C (CO 2 -eq) per year in the form of CH 4 (Bastviken et al, 2011). It is worth noting that the CH 4 emissions from tropical rivers have been markedly underestimated (Borges et al, 2015) due to the data limitation in previous studies.…”

Section: Introductionmentioning

confidence: 99%

Large Fine‐Scale Spatiotemporal Variations of CH₄ Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China

et al. 2019

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Mariculture shrimp ponds are important CH4 sources to the atmosphere. However, the spatiotemporal variations of CH4 concentration and flux at fine spatial scales in mariculture ponds are poorly known, particularly in China, worlds largest aquaculture producer. In this study, the plot‐scale spatiotemporal variations of water CH4 concentration and flux, both within and among ponds, were researched in shrimp ponds in Shanyutan wetland, Min River Estuary, Southeast China. The average water CH4 concentration and diffusion flux across the water‐air interface in the shrimp ponds over the shrimp aquaculture period varied from 2.29 ± 0.29 to 50.48 ± 20.91 μM and from 0.09 ± 0.01 to 2.32 ± 0.95 mmol·m−2·hr−1, respectively. The CH4 emissions from the estuarine ponds varied greatly between seasons, with peaks in August and September, which was similar to the trend of water temperature and dissolved oxygen concentrations. There was no remarkable difference in CH4 concentration and flux between shrimp ponds but significantly spatiotemporal differences in CH4 concentration and flux within the ponds. Significantly higher emissions occurred in the feeding zone, accounting for approximately 60% of total CH4 emission flux, while much lower CH4 emissions appeared in aeration zone, contributing 14% to total flux. This study suggests the importance of considering spatiotemporal variation in the whole‐pond estimates of CH4 concentration and flux. In light of such high spatial variation within ponds, improving aeration and feed utilization efficiency would help to mitigate CH4 emissions from mariculture ponds.

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Greenhouse Gas Fluxes of a Shallow Lake in South-Central North Dakota, USA

Cited by 21 publications

References 51 publications

Hydrologic Lag Effects on Wetland Greenhouse Gas Fluxes

Hydrologic Lag Effects on Wetland Greenhouse Gas Fluxes

Comparing Spatial and Temporal Variation of Lake‐Atmosphere Carbon Dioxide Fluxes Using Multiple Methods

Large Fine‐Scale Spatiotemporal Variations of CH₄ Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China

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Greenhouse Gas Fluxes of a Shallow Lake in South-Central North Dakota, USA

Cited by 21 publications

References 51 publications

Hydrologic Lag Effects on Wetland Greenhouse Gas Fluxes

Hydrologic Lag Effects on Wetland Greenhouse Gas Fluxes

Comparing Spatial and Temporal Variation of Lake‐Atmosphere Carbon Dioxide Fluxes Using Multiple Methods

Large Fine‐Scale Spatiotemporal Variations of CH4 Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China

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Large Fine‐Scale Spatiotemporal Variations of CH₄ Diffusive Fluxes From Shrimp Aquaculture Ponds Affected by Organic Matter Supply and Aeration in Southeast China