2022
DOI: 10.1002/hyp.14587
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Tidal frequencies and quasiperiodic subsurface water level variations dominate redox dynamics in a salt marsh system

Abstract: Salt marshes are hotspots of nutrient processing en route to sensitive coastal environments. Whilst our understanding of these systems has improved over the years, we still have limited knowledge of the spatiotemporal variability of critical biogeochemical drivers within salt marshes. Sea‐level rise will continue to force change on salt marsh functioning, highlighting the urgency of filling this knowledge gap. Our study was conducted in a central California estuary experiencing extensive marsh drowning and rel… Show more

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Cited by 11 publications
(11 citation statements)
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“…The terrestrial water level responds to precipitation with relative increases during precipitation events (Figure 2). Marsh porewater levels were subject to daily, biweekly and seasonal tidal cycle inundation dynamics, resulting in multiple water level fluctuation frequencies (Grande, Arora, Visser, et al, 2022). Porewater levels at the lower marsh position were consistently lower than at the upper and middle marsh positions during low tides, draining below the marsh surface elevation in each tidal cycle.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The terrestrial water level responds to precipitation with relative increases during precipitation events (Figure 2). Marsh porewater levels were subject to daily, biweekly and seasonal tidal cycle inundation dynamics, resulting in multiple water level fluctuation frequencies (Grande, Arora, Visser, et al, 2022). Porewater levels at the lower marsh position were consistently lower than at the upper and middle marsh positions during low tides, draining below the marsh surface elevation in each tidal cycle.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, we have historically understudied short‐term and fine spatial scale porewater normalNO3$$ \mathrm{N}{\mathrm{O}}_3^{-} $$ dynamics over more than a few tidal cycles in these ecosystems. For example, impacts of short‐lived, episodic events such as storms and tidal inundation can drive biogeochemical parameters like redox potential (Grande, Arora, Visser, et al, 2022), but may be missed by coarse resolution sampling.…”
Section: Introductionmentioning
confidence: 99%
“…red noise) and fitting a wavelet transform to the AR1 time series (Towler & McCreight, 2021). A Chi 2 test with an α = 0.05 is used to assess if the wavelet power spectrum is different from that of the red noise model (Grande et al, 2022). Though this method of significance testing is known to be lenient, the wavelet transform analysis in this package is preferred as it corrects a bias for finding greater power at longer time‐scales (Liu et al, 2007; Schulte, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…test with an α = 0.05 is used to assess if the wavelet power spectrum is different from that of the red noise model (Grande et al, 2022).…”
Section: Assessing Periodicity and Spatial Synchronymentioning
confidence: 99%
“…In the referenced article, Grande et al . (2022), an additional affiliation for co‐author Braswell, A. has been added:‐.…”
mentioning
confidence: 99%