Multi-Scale Temporal Patterns in Stream Biogeochemistry Indicate Linked Permafrost and Ecological Dynamics of Boreal Catchments

Webster, Alex J.; Douglas, Thomas A.; Regier, Peter; Scheuerell, Mark D.; Harms, Tamara K.

doi:10.1007/s10021-021-00709-6

Cited by 4 publications

(10 citation statements)

References 68 publications

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“…For example, the variation in commonly determined C-Q metrics such as the log-log C-Q slope (b) or the CV C /CV Q ratio could be applied to wavelet methods particularly when data gaps exist, a frequent feature of high-frequency datasets. Wavelet coherence can also be used to directly compare the interactions between C and Q time series to determine how these variables relate in both the time and frequency domains simultaneously (Jiang et al, 2020;A. J. Webster et al, 2022).…”

Section: Methods To Address Cross-scale Interactionsmentioning

confidence: 99%

“…However, in contrast to bedrock, permafrost is seasonally dynamic and has been observed to change C-Q dynamics, as seasonal thaw allows flow paths to deepen (A. J. Webster et al, 2022).…”

Section: Shorter Time Scalesmentioning

confidence: 99%

“…In contrast, calcium, magnesium, sodium, and potassium exhibited clockwise hysteresis, suggesting that a limited reservoir of solutes below the snowpack was flushed on the rising limb of the snowmelt pulse (Olshansky et al, 2018). Permafrost (defined as soils remaining frozen for >2 years) in high latitude and alpine environments can also influence C–Q patterns by restricting flow path depth to shallow soils, similar to a confining bedrock layer (Shogren et al, 2021; A. J. Webster et al, 2022). However, in contrast to bedrock, permafrost is seasonally dynamic and has been observed to change C–Q dynamics, as seasonal thaw allows flow paths to deepen (A. J. Webster et al, 2022).…”

Section: Meteorological Biological and Geological Processes Influenci...mentioning

confidence: 99%

See 2 more Smart Citations

Catchment concentration–discharge relationships across temporal scales: A review

Speir,

Rose,

Blaszczak

et al. 2023

WIREs Water

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Processes that drive variability in catchment solute sourcing, transformation, and transport can be investigated using concentration–discharge (C–Q) relationships. These relationships reflect catchment and in‐stream processes operating across nested temporal scales, incorporating both short and long‐term patterns. Scientists can therefore leverage catchment‐scale C–Q datasets to identify and distinguish among the underlying meteorological, biological, and geological processes that drive solute export patterns from catchments and influence the shape of their respective C–Q relationships. We have synthesized current knowledge regarding the influence of biological, geological, and meteorological processes on C–Q patterns for various solute types across diel to decadal time scales. We identify cross‐scale linkages and tools researchers can use to explore these interactions across time scales. Finally, we identify knowledge gaps in our understanding of C–Q temporal dynamics as reflections of catchment and in‐stream processes. We also lay the foundation for developing an integrated approach to investigate cross‐scale linkages in the temporal dynamics of C–Q relationships, reflecting catchment biogeochemical processes and the effects of environmental change on water quality.This article is categorized under: Science of Water > Hydrological Processes Science of Water > Water Quality Science of Water > Water and Environmental Change

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Section: Methods To Address Cross-scale Interactionsmentioning

confidence: 99%

“…However, in contrast to bedrock, permafrost is seasonally dynamic and has been observed to change C-Q dynamics, as seasonal thaw allows flow paths to deepen (A. J. Webster et al, 2022).…”

Section: Shorter Time Scalesmentioning

confidence: 99%

Section: Meteorological Biological and Geological Processes Influenci...mentioning

confidence: 99%

See 1 more Smart Citation

Catchment concentration–discharge relationships across temporal scales: A review

Speir,

Rose,

Blaszczak

et al. 2023

WIREs Water

Self Cite

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“…Across regions, most C‐Q studies describe the responses of individual constituents, such as DOC, dissolved inorganic nitrogen (DIN), or reactive phosphorus in temperate rivers (Fazekas et al., 2020; Khamis et al., 2021; Raymond & Saiers, 2010; Vaughan et al., 2017; Wagner et al., 2019; Zarnetske et al., 2018), as well as in permafrost‐influenced landscapes (Shogren et al., 2021; Webster et al., 2021). Efforts to capture multi‐solute response across seasons (Kincaid et al., 2020), land use and land cover (Fazekas et al., 2021; Wymore et al., 2021), and antecedent hydrologic conditions (Gorski & Zimmer, 2021; Ledesma et al., 2022) have significantly advanced applications of the C‐Q method by acknowledging that the transport of reactive solutes during storm events is inherently linked with the availability of other solutes and should be assessed in unison (Ledesma et al., 2022; Marcé et al., 2018; Wymore et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

“…While this perspective has been widely applied across temperate regions, the combination of technological advancements and increasing interest in capturing processes that control the transport of material across the terrestrial-aquatic nexus have been recently applied in permafrost-underlain watersheds (Conroy et al, 2022;Khamis et al, 2021;Shogren et al, 2021;Webster et al, 2021). Namely, the application of concentration-discharge (hereafter C-Q) metrics from high-frequency time-series data has revealed the dominant landscape and seasonal controls on lateral C and N exports in Arctic and Boreal watersheds (Khamis et al, 2021;Shogren et al, 2021;Webster et al, 2021). For example, Shogren et al (2021) leveraged high-frequency monitoring efforts to quantify event-scale C-Q responses for dissolved organic C (DOC) and nitrate ( 𝐴𝐴 NO3 − ) from Arctic headwater watersheds.…”

mentioning

confidence: 99%

Hydrology Controls Dissolved Organic Carbon and Nitrogen Export and Post‐Storm Recovery in Two Arctic Headwaters

Shogren,

Zarnetske,

Abbott

et al. 2024

JGR Biogeosciences

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Climate change is rapidly altering hydrological processes and consequently the structure and functioning of Arctic ecosystems. Predicting how these alterations will shape biogeochemical responses in rivers remains a major challenge. We measured [C]arbon and [N]itrogen concentrations continuously from two Arctic watersheds capturing a wide range of flow conditions to assess understudied event‐scale C and N concentration‐discharge (C‐Q) behavior and post‐event recovery of stoichiometric conditions. The watersheds represent low‐gradient, tundra landscapes typical of the eastern Brooks Range on the North Slope of Alaska and are part of the Arctic Long‐Term Ecological Research sites: the Kuparuk River and Oksrukuyik Creek. In both watersheds, we deployed high‐frequency optical sensors to measure dissolved organic carbon (DOC), nitrate (), and total dissolved nitrogen (TDN) for five consecutive thaw seasons (2017–2021). Our analyses revealed a lag in DOC: stoichiometric recovery after a hydrologic perturbation: while DOC was consistently elevated after high flows, diluted during rainfall events and consequently, recovery in post‐event concentration was delayed. Conversely, the co‐enrichment of TDN at high flows, even in watersheds with relatively high N‐demand, represents a potential “leak” of hydrologically available organic N to downstream ecosystems. Our use of high‐frequency, long‐term optical sensors provides an improved method to estimate carbon and nutrient budgets and stoichiometric recovery behavior across event and seasonal timescales, enabling new insights and conceptualizations of a changing Arctic, such as assessing ecosystem disturbance and recovery across multiple timescales.

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Longitudinal propagation of aquatic disturbances following the largest wildfire recorded in New Mexico, USA

Nichols,

Joseph,

Kaphle

et al. 2024

Nat Commun

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Multi-Scale Temporal Patterns in Stream Biogeochemistry Indicate Linked Permafrost and Ecological Dynamics of Boreal Catchments

Cited by 4 publications

References 68 publications

Catchment concentration–discharge relationships across temporal scales: A review

Catchment concentration–discharge relationships across temporal scales: A review

Hydrology Controls Dissolved Organic Carbon and Nitrogen Export and Post‐Storm Recovery in Two Arctic Headwaters

Longitudinal propagation of aquatic disturbances following the largest wildfire recorded in New Mexico, USA

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