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Recovery of a New England salt marsh six years after a natural sediment deposition event

  • Gregg E. Moore ,

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

    Gregg.Moore@unh.edu

    Affiliation Department of Biology, University of New Hampshire, Durham, New Hampshire, United States of America

  • Jennifer L. Gibson,

    Roles Data curation, Formal analysis, Investigation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Biology, University of New Hampshire, Durham, New Hampshire, United States of America

  • David M. Burdick,

    Roles Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Natural Resources, University of New Hampshire, Durham, New Hampshire, United States of America

  • Alondra Ortiz-Franco,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Natural Sciences Department, University of Puerto Rico-Cayey, Cayey, Puerto Rico, United States of America

  • Ashley N. Bulseco

    Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

    Affiliation Department of Biology, University of New Hampshire, Durham, New Hampshire, United States of America

Abstract

In January 2018, Winter Storm Grayson deposited a spatially heterogeneous layer of sediment across the Great Marsh on the North Shore of Massachusetts in Essex Bay, Ipswich Bay, and Plum Island. A published study of short-term responses following one growing season showed percent cover of vegetation was significantly lower in plots receiving sediment than controls, while porewater chemistry (salinity, redox potential, and sulfide concentrations) shifted slightly as biogeochemical processes developed in the new sediment. Six growing seasons post-deposition, these sites were re-evaluated to determine whether storm-delivered sediment (i) increases vegetation percent cover and species richness without suppressing plant height, (ii) influences porewater conditions, and (iii) promotes belowground live root density. Results show that vegetation cover and height were not significantly impacted by sediment thickness or year, and no interaction was found between year and sediment thickness. Salinity significantly decreased from 2018 to 2024, while interactive effects appeared for both redox potential and sulfides, largely driven by changes in plots that received 0–2 cm of sediment. Interactive effects of depth and sediment thickness on live root density appear driven by biomass in the control and 4–6 cm plots. Live root density in the top 4 cm was approximately equivalent for all core types with biomass increasing with depth until 10 cm for the plots receiving greater than 2 cm of sediment. Our results suggest that natural sediment inputs can supplement elevation and stimulate belowground biomass, particularly at thicknesses between 2–6 cm, without negatively impacting vegetation cover, species richness, or porewater chemistry at the landscape scale.

Introduction

Coastal salt marshes are among the most effective natural systems for shoreline protection, blue-carbon storage, and habitat provisioning [13], yet they are increasingly vulnerable to sea-level rise, storm intensification, and associated shifts in inundation regimes [46]. With sea level rise, the persistence of marsh platforms depends on maintaining marsh surface elevation within a narrow tolerance relative to tidal datums through vertical accretion provided by organic matter accumulation and sediment inputs [68]. When this building process is disrupted, excessive flooding stress and sulfide toxicity can drive transitions from high to low marsh vegetation, panne and pool expansion, and, ultimately, marsh loss [913]. Episodic sediment pulses associated with coastal storms can, however, deliver “elevation capital”. Years to decades’ worth of mineral inputs can be deposited in a single event, temporarily reducing flooding stress and potentially resetting trajectories of degradation toward recovery if vegetation and edaphic conditions respond favorably [1416].

In parallel with this natural pathway, beneficial reuse of dredge materials, commonly referred to as thin-layer placement (TLP), has emerged as a restoration strategy that deliberately supplements marsh elevation by applying a relatively shallow layer of dredged or compatible sediments to the vegetated platform [1720]. Contemporary practice defines TLP as the addition of a thin, relatively evenly distributed sediment layer designed to raise marsh elevation while maintaining vegetation and ecosystem function [21,22]. Reported benefits of appropriately calibrated TLP include platform stabilization, reduced waterlogging and anoxia, and enhanced recovery of vegetation structure where post-placement elevations occupy the functional niche of target plant communities [2327]. Because vegetation controls sediment capture, wave attenuation, and organic matter inputs, aboveground structure and belowground production are sentinel indicators of successful elevation supplementation [7,28]. Belowground biomass mediates sediment retention, porewater chemistry, and long-term peat development and is therefore central to assessing both the trajectory and durability of recovery following sediment addition [29].

Despite growing interest, critical knowledge gaps remain for TLP efficacy in the organic-rich marshes of New England. Most empirical studies report responses within the first one to five years following sediment addition [27,30], a window that can capture initial physiological and edaphic adjustments but may miss medium-term trajectories in root production, peat development, and vegetation composition as platforms equilibrate. Thickness sensitivity also remains debated: some studies report stronger vegetation responses at placements exceeding ~5 cm [31], while others emphasize site-specific optima spanning ~2–11 cm and caution that time horizons of a decade or more may be required for full marsh function to recover [29]. More recent syntheses underscore that the “right” thickness is contingent on starting elevation, hydrologic regime, and vegetation state, rather than a single universal target [18,32]. Furthermore, belowground responses can lag aboveground recovery and may exhibit depth-specific thresholds (e.g., biomass declines beyond ~10 cm), highlighting the need for coring-based assessments in addition to surface metrics [33].

Because large-scale TLP projects remain relatively uncommon in New England and permitting constraints can limit experimental manipulation, natural storm-driven sediment deposition events provide valuable analogs for evaluating the mechanisms and consequences of elevation supplementation at landscape scales [14,15]. Although the grain size distribution, spatial heterogeneity, and delivery mode of natural deposits can differ from engineered slurry applications, both processes can add elevation capital and modify hydroperiods in ways that should, in principle, influence vegetation dynamics, porewater chemistry, and belowground biomass through similar pathways. Natural experiments thus offer a rare opportunity to test medium-term responses across realistic gradients of thickness and habitat context in situ, and to assess potential risks (e.g., smothering or shifts in community composition) that may accompany allochthonous sediment inputs.

Here we leverage a region-wide natural experiment triggered by Winter Storm Grayson (January 2018), which deposited a spatially heterogeneous layer of mineral sediment across portions of the Great Marsh on the North Shore of Massachusetts. Across three sites within this complex (Essex, Ipswich, and Newburyport), an area on the order of tens of square kilometers received on average ~2–3 cm of sediment with local patches exceeding 4–6 cm. Immediately following deposition, we established replicated monitoring transects spanning the observed thickness gradient, including unimpacted control plots, to evaluate vegetation and edaphic responses over time [15]. We subsequently revisited the original 74 plots in 2024, enabling a medium-term (six-year) assessment of recovery trajectories.

We asked whether modest, storm-delivered sediment additions can (i) increase or maintain high-marsh vegetation cover without suppressing plant height (i.e., vigor), (ii) improve porewater conditions associated with flooding stress and anoxia—salinity, redox potential, and sulfide concentrations—consistent with hydrologic relief and oxidative recovery, and (iii) sustain or enhance belowground live root density across the upper 20 cm, particularly within the ecologically active 0–10 cm zone critical for peat accretion and shear strength [7]. Based on prior TLP studies, we hypothesized that plots receiving ≥4 cm would exhibit stronger vegetation and edaphic improvements relative to thinner additions (≤2–4 cm) and controls, reflecting greater elevation capital and reduced hydroperiod stress [29,31]. We further predicted that belowground biomass would show depth-structured responses with potential declines only at depths where added material and subsequent consolidation exceed thresholds reported in the literature [33], and that any benefits would be detectable several years post-deposition, aligning with the multi-year equilibration times suggested by process-based studies and syntheses [18,32].

By treating this storm-driven sediment pulse as an analog for thin-layer elevation enhancement, our study addresses three interrelated gaps for New England marshes: (1) the medium-term (≥5 yr) sustainability of vegetation and porewater improvements following modest elevation gains; (2) the thickness dependence of responses across control, 0–2, 2–4, and 4–6 cm strata; and (3) the coupling between surface recovery and belowground biomass profiles at centimeter resolution. Because management decisions increasingly hinge on whether small to moderate additions can stabilize high-marsh states and arrest conversion to low marsh (or open water) under contemporary sea-level rise, the outcomes reported here provide directly policy-relevant evidence for calibrating TLP targets and evaluating storm-mediated elevation capital as a complementary, sustainable pathway to resilience in New England salt marshes.

Methods

Site description

In 2018, three sampling areas were established within the Great Marsh Estuary located on the north shore of Massachusetts that each received significant storm-delivered sediment deposition. These sampling areas occur within the same hydrologic regime and tidal elevations within Great Marsh and are dominated by the same plants (namely Spartina alterniflora and S. patens). Meanwhile, the natural sediment covered plots were found more often in habitats characterized as low marsh, transitional, and panne marsh plots. For the purposes of this analysis, they are collectively considered one site, occurring near Lowe Island in Essex, MA (42°39’16.4"N 70°46’28.3"W), Jeffery’s Neck Road in Ipswich, MA (42°41’59.5"N 70°49’06.5"W), and on Plum Island in Newburyport, MA (42°45’06.8"N 70°48’21.2"W). In total, an area approximately 40 km2 was covered by 2.6 ± 1.7 cm of sediment (ranging from 0 to 6 cm) due to Winter Storm Grayson (Fig 1A-E). Immediately following the event in 2018, a series of linear transects were established over the impacted areas and, along each, ten 0.5m2 plots were set every 20 paces (~12m) and the location recorded with a Leica GSSN Rover Real Time Kinematic (RTK) Global Positioning System (GPS) model GS14 [15]. Access to these study sites was granted by the property owners, including The Trustees of Reservations for Lowe Island and Jeffrey’s Neck, and the US Fish and Wildlife Service Parker River National Wildlife Refuge for the Plum Island site. No permits were required for the work completed. In the summer of 2019 (July) and 2024 (July and September), 74 of the previously studied sediment deposition plots were revisited for vegetation and porewater monitoring. Of the plots revisited, 17 were designated as controls (no sediment addition) and the rest were categorized as 0–2 cm (n = 25), 2–4 cm (n = 24) or 4–6 cm (n = 8) sediment addition that occurred due to natural deposition. Thickness was determined in the winter of 2018 immediately following the Winter Storm Grayson using a meter stick inserted into the deposited sediment [15]. We recognize sediment addition depths may partially reflect underlying elevation gradients rather than sediment addition alone. However, the mean elevation of control plots was equal to or less than that of experimental plots. It may be important to note that control plots had a greater percentage of S. patens and Distichlis spicata, which was to be expected as they most were characterized as true high marsh plots.

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Fig 1. Maps of study area and histogram of sediment thickness (A) Map of approximately 40 km2 study site region, including (B) The Great Marsh Estuary in Essex, MA (C) Jeffrey’s Neck Road in Ipswich, MA and (D) Plum Island in Newburyport, MA, and (E) Histogram of sediment depths resulting from the natural sedimentation event in 2018.

https://doi.org/10.1371/journal.pone.0357442.g001

Field collection and laboratory analyses

Vegetation assessment.

Vegetation sampling was completed during the growing season to represent peak plant growth for each of the three years of the study. Percent cover was recorded using visual estimation within a 0.5m2 PVC quadrat assuming a single canopy layer (maximum of 100%) at each plot (total n = 74). Observers were trained using calibrated images to visually estimate percent cover. Vascular plants were identified to species level in the field and mean canopy height (cm) was measured in 2019 and 2024 (mean of 3 haphazard measures, taken from the base of the plant to the terminus of an individual’s longest leaf). Bare/unvegetated ground was accounted for in the percent cover estimate. Analysis of percent cover was focused on comparison of total coverage changes over time and not species-specific changes per se. Species richness was calculated as the number of vascular plant species per plot.

Porewater analyses.

Soil porewater was taken concurrently with vegetation studies in 2018, 2019, and 2024, and sampled at a depth of ~25 cm at each plot within approximately 2 hours (+/-) of low tide using the sipper method [34,35], which extracts water held in pore spaces using a 1 mm diameter stainless steel tube fitted with a 60cc plastic syringe. The depth of ~25 cm is consistently within the original marsh surface, accessing porewater associated with live roots of the existing plant community. Approximately 10mL of porewater was expelled into a 25mL polytetrafluoroethylene (PTFE) vial for field determination of salinity and redox, while 500 μL of porewater was subsampled into an additional vial containing 12mL of 2% Zinc Acetate solution as a fixative for sulfide analysis later in the lab. Porewater salinity was determined in the field using a Thermo Scientific Orion Star A329 Portable Multiparameter Meter with DuraProbe conductivity cell, while redox potential was obtained using a platinum electrode (Thermo Fisher Scientific, Waltham, MA). Zinc acetate fixed samples were stored at 4oC in the laboratory for analysis of sulfide content (mM) using Cline’s [36] colorimetric analysis and a LaMotte SmartSpec (Chestertown, MD, USA) spectrophotometer.

Root biomass assessment.

In 2024, peat cores were exhumed from each of the 74 plots to a depth of 20 cm using a 1m Eijkelkamp (TM) gouge auger with 30 mm diameter bore for analysis of root biomass. Cores were wrapped in aluminum foil and placed in Ziploc® bags in the field and promptly stored in the laboratory at 4oC until processing. To determine root biomass, cores were sectioned into ten segments by depth every 2 cm. Although 20 cm cores were exhumed, the terminus of some cores was incomplete when examined in the lab (i.e., full volume of the base of the core was partially missing). As a result, the bottom ~2 cm was removed to ensure full core volume for all analyses, resulting in a final core length of 18 cm. Each segment was placed in a stainless steel 1.00 mm sieve and rinsed with water to separate the roots and rhizomes from other organic and inorganic peat core constituents. The resulting organic material was sorted as live or dead and placed into pre-weighed tin weighing boats and dried at 45oC for 2–3 days until mass was consistent between measurements and dry weight (g) was recorded. Live root density (mg/cm3) was calculated from the dry weight of the live roots/rhizomes divided by the volume of the 2 cm core section (r = 1.5 cm). Areal root biomass (g/m2) was determined by summing all belowground biomass (live/dead) and dividing by area (r = 0.015 m).

Statistical analyses

Data were managed in MS Excel and analyzed and graphed using R 4.5.2 scripts [37]. When original and parametrically transformed data did not meet the assumptions of normality and homoscedasticity, aligned rank transformations (ART) were used, otherwise parametric tests were performed. Unlike standard rank transformation that simply ranks the response variable and does not properly take interactions into account, ART first aligns the data with respect to the effect being tested prior to ranking. Where interactive effects may be present, type III tests (mixed effects) were run to account for the interactive effects. To explore significant differences when present, estimated marginal means were used and the Tukey method was applied to adjust p-values for family-wise error across four or three group comparisons. For all tests, a significance level of α = 0.05 was used.

Prior to analysis, percent cover of all vascular plants within a plot was summed and converted from percentages to proportions. To compensate for plots with 0 or 100% total vascular plant coverage, proportions were transformed using (y(n-1)+0.5)/n, where y was the proportion and n was the total number of plots visited across all years and sediment thicknesses [38]. The proportions were then analyzed using a beta regression model with a logit link function [39] where year (2018, 2019, and 2024), sediment thickness (Control, 0–2 cm, 2–4 cm, and 4–6 cm), and the interaction of the two were fixed effects, with the reference being control treatments in 2018. To obtain total vascular percent cover by year or sediment thickness, data were back-transformed using estimated marginal means. An ART for factorial models [40] with a type III Anova (mixed effects), where plot was the random variable, was used to investigate the main and interactive effects of the fixed variables year (vegetation height: 2019 and 2024; porewater chemistry: 2018, 2019, and 2024) and sediment thicknesses (Control, 0–2, 2–4, 4–6) on vegetation height, as well as the porewater chemistry parameters: salinity, sulfide concentration, and redox.

To assess the main and interactive effects of year and sediment thickness on species richness, a generalized linear mixed model with a Conway-Maxwell-Poisson distribution was used to account for underdispersion in the count data [41]. A type III Wald chi-square test was run to test for statistical significance where year (2018, 2019, and 2024) and sediment thickness were fixed effects and plot was the random effect to account for repeated measurements over the years. To ensure assumptions were met, simulation-based residual plots and dispersion were tested using the DHARMa package [42].

To investigate the main and interactive effects of sediment thickness at different depths on live root biomass, a general linearized mixed model with Tweedie distribution and a log link function was used, due to the data having zeros and being right-skewed, where “core” was set as the random effect [43]. The effects of sediment thickness on areal root biomass were then analyzed using a one-way ANOVA. Cores were only taken in 2024, so year was not a factor.

Results

Vegetation

Our plots included a total of six plant species that were found in each year studied (2018, 2019, & 2014): Spartina alterniflora (predominantly short-form), S. patens, Distichlis spicata, Salicornia depressa, Limonium nashii, and Suaeda maritima, with Atriplex patula appearing in 2024 (S1 Table). From 2018 to 2019, control treatments experienced a significant decline in total vascular plant percent cover from 83.9% to 67.2% (z = 2.513, p = 0.032) with little change (+1.6%) from 2019 to 2024 (68.8%; z = −0.202, p = 0.978). The overall decline from 2018 to 2024 in control treatments was only marginally significant (z = 2.312, p = 0.054). With the addition of sediment from the storm in 2018, vascular plant percent cover was significantly lower in both 2–4 cm (63.6%; z = 3.177, p = 0.008) and 4–6 cm (53.7%; z = 3.227, p = 0.007) sediment thickness plots, but not significantly lower in 0–2 cm treatments (70.2%; z = 2.338, p = 0.090) when compared to control treatments. In 2019 and 2024, no significant differences were noted between any sediment thickness treatments (2019: p > 0.473; 2024: p > 0.952). Although covered with sediment in 2018, all sediment addition plots rebounded within a year and appeared to retain their plant cover through 2024 (Fig 2).

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Fig 2. Total vascular plant percent cover by sediment thickness for years studied.

Details on individual species cover can be found in S1 Table.

https://doi.org/10.1371/journal.pone.0357442.g002

Vegetation height, only measured in 2019 and 2024, did not appear to be significantly impacted by sediment thickness (F3, 70 = 0.739, p = 0.532, Fig 3A) or year (F1, 70 = 1.538, p = 0.219), with no interaction found between year and sediment thickness (F3, 70 = 0.930, p = 0.431). Although an additional species was found in 2024 (A. patula), no significant change in species richness (Fig 3B) was noted for year (x22 = 2.332, p = 0.312), different sediment thicknesses (x22 = 0.617, p = 0.892), or the interactive effect of year and thickness (x22 = 11.438, p = 0.076). Although not significant (p > 0.05), mean species richness dropped marginally from 2.66 ± 0.12 in 2018, to 2.23 ± 0.13 in 2019, and remained relatively unchanged from 2019 to 2024 (2.20 ± 0.12).

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Fig 3. (A) Vegetation height (cm) and (B) Species richness per plot by sediment thickness (control, 0-2 cm, 2-4 cm, 4-6 cm) for years studied.

https://doi.org/10.1371/journal.pone.0357442.g003

Porewater

No interactive effects appeared in the analysis of salinity levels (F6,138 = 0.685, p = 0.662), but year pooled over sediment thickness (F2,138 = 107.660, p < 0.001; Table 1; Fig 4A) and sediment thickness pooled over years (F3,69 = 3.551, p = 0.019) had significant effects. Salinity significantly decreased from 2018 to 2019 (t138 = 9.195, p < 0.001) and again from 2019 to 2024 (t138 = 5.306, p < 0.001). Additionally, plots that received 0–2 cm sediment had significantly higher salinity than control plots (t69 = −2.828, p = 0.031) and marginally higher salinity than 2–4 cm plots (t69 = 2.639, p = 0.049). Interactive effects of year and sediment thickness appeared for both redox potential (F6,138 = 2.550, p = 0.023) and sulfide concentration (F6,136 = 3.076, p = 0.007). The interactive effect for redox was driven by the drop in redox at 0–2 cm sediment thickness plots from 2018 to 2024 (t115 = 6.178, p < 0.001; Fig 4B; Table 1) whereas redox remained relatively stable throughout the years for other sediment thicknesses (p > 0.113). The interactive effects for sulfides were again primarily driven by changes to sulfides in the 0–2 cm sediment thickness plots where sulfides increased significantly from 2018 to 2024 (t136 = −3.485, p = 0.031) and from 2019 to 2024 (t136 = −6.022, p < 0.001; Fig 4C; Table 1). Additionally, in 2024, sulfides in-0–2 cm sediment thickness plots were significantly higher than sulfides in both 2–4 cm sediment thickness (t106 = −3.748, p = 0.015) and control plots (t 106 = −3.578, p = 0.025) in 2019. The only other significant difference noted for sulfides was in 2–4 cm sediment thickness plots between 2018 and 2019 (t 136 = 4.103, p = 0.004).

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Table 1. Porewater metrics for each plot type over years with mean ± standard error.

https://doi.org/10.1371/journal.pone.0357442.t001

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Fig 4. Salinity (A), redox potential (B), and sulfide concentrations (C) for sediment thicknesses over the years studied.

https://doi.org/10.1371/journal.pone.0357442.g004

Cores

Areal root biomass in 2024 did not significantly differ between sediment thicknesses (F3, 70 = 1.768, p = 0.161; Fig 5A). However, live root density over depth for the different sediment thicknesses was subject to an interactive effect (x224 = 86.21, p < 0.001; S2 Table; Fig 5B). When estimated marginal means were examined to compare sediment thicknesses by depth, we found no difference between sediment thickness within the first 4 cm, but after 4 cm, the live root biomass in the 0–2 cm sediment thickness plots dropped significantly by over 40% from 2–4 cm sediment thickness plots (z = −2.818, p = 0.025) and, at the 6–8 cm depth, the 0–2 cm sediment thickness plots remained significantly lower than the 2–4 cm (z = −2.946, p = 0.017) and 4–6 cm (z = −2.710, p = 0.034) sediment thickness plots (S2 Table; Fig 5B). For all other sediment depths, the 0–2 cm sediment thickness continued to have significantly lower live root biomass than the 2–4 cm treatment (at 8–10 cm: z = −3.749, p = 0.001; at 10–12 cm: z = −3.091, p = 0.012; at 12–14 cm: z = −4.322, p = 0.001, at 14–16 cm: z = −4.329, p < 0.001; at 16–18 cm: z = −4.128, p < 0.001) and the 4–6 cm treatment (at 8–10 cm depth: z = −3.734, p = 0.001; at 10–12 cm depth: z = −3.513; p = 0.003; at 12–14 cm: z = −3.907, p = 0.001; at 14–16 cm: z = −3.485, p = 0.003; at 16–18 cm: z = −3.550, p = 0.002). Over all depths, no significant difference was seen between the two greater sediment thicknesses (2–4 cm and 4–6 cm) or between those two thicknesses and controls. However, after 12 cm and for all deeper depths, control plots exhibited significantly more biomass than the 0–2 cm sediment thickness plots (at 12–14 cm: z = 2.795, p = 0.027; at 14–16 cm: z = 2.976, p = 0.016, at 16–18 cm: z = 2.655, p = 0.040).

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Fig 5. (A) Areal biomass (B) Live root density over depth for each sediment thickness type.

https://doi.org/10.1371/journal.pone.0357442.g005

Discussion

Vegetation responses indicate no long-term negative effects

Sediment deposition events may have short-term, negative effects on vegetation by burying shoots, reducing light availability, altering porewater chemistry, and/or limiting gas exchange [31,44,45], however our study found no long-term negative effects on plant communities. While plant cover [15] and species richness (this study) decreased in the first growing season after the storm (2018–2019; Fig 2), both metrics were not significantly different from control plots thereafter (from 2019 and 2024). In addition, there were no differences in vegetation height and belowground biomass over medium time scales, between 2019–2024 (Fig 3A-B). This immediate, short-term decline has been observed in other studies as well. For example, in a study where ~23 mm of dredged material was sprayed onto a marsh in coastal Louisiana, measurements made immediately (~3 weeks) following treatment revealed diminished stem counts in S. alterniflora, but then largely recovered by the following year [46]. Payne et al. [24] observed fewer stems in S. patens two months after experimental units were amended with 10 cm sand when compared to controls, suggesting this high marsh species is less adapted to porewater conditions that may result from sediment deposition [11,47]. Sediment additions of 7 and 14 cm in Raposa et al. [26] resulted in early reductions in percent cover in both low and high marsh habitat but by the end of three years found that there was no difference in TLP versus control plots, demonstrating plant growth following sedimentation. Likewise, Puchkoff & Lawrence [25] observed 89% fewer stems in sediment treated plots (+5, + 10, and +15 cm) controls but found that sediment thicknesses of 5–7 cm resulted in similar vegetation to controls after one growing season. Despite these initial early reductions, plant communities seemed to transition into a period of sustained regrowth, possibly driven by root production [22] or enhanced nutrient delivery [31,43], following the immediate stress of sediment burial. This is supported by our results, where both vegetation height and species richness were the same between controls, 0–2 cm, 2–4 cm, and 4–6 cm between 2019 and 2024, following the initial negative response in year one.

In addition to aboveground plant communities, there was no significant difference in belowground biomass when comparing the different sediment thicknesses to controls (Fig 5A). This is likely because sediment addition helps to build the marsh platform, which may improve soil aeration and encourage root proliferation. Collectively, these changes may improve porewater conditions that support plant productivity and uptake of carbon dioxide [48,49]. Our results are consistent with previous work suggesting that sediment addition allows for the formation of new root and rhizomes as a result of rapid expansion into empty space [22,50], demonstrating the importance of belowground biomass growth as a mechanism for plant recovery in response to burial [51]. Payne et al. [24], for instance, found that total biomass and root mass were not impacted by 10 cm of added sand to either S. alterniflora or S. patens, and Puchkoff & Lawrence [25] observed a 149% increase in root density in response to 5–7 cm of sediment addition. Similarly, Cheng et al. [30] found that live root density was ~ 3x higher in soils where a sediment slurry was added relative to the control six years later, attributing this pattern to nutrient limitation. Given root growth seems to be an important mechanism of plant recovery in response to sediment deposition, we argue that monitoring belowground biomass and overall root growth will be an important consideration in assessing coastal wetland resilience.

In other regions of the U.S., there has been strong evidence for positive responses by vegetation to sediment addition. In a mesocosm experiment in Virginia, USA, S. alterniflora total biomass increased by up to 120% with an optimal burial depth of 5–10 cm [51], slightly greater than thicknesses observed in our study. S. alterniflora primary productivity increased by 20–60% in response to hurricane-induced sedimentation of ~5–10 cm in Louisiana [48] and aboveground plant biomass increased by ~50% following a 3–8 cm deposition in two marshes in the Mississippi River deltaic basins as a result of Hurricane Katrina [52]. In the Gulf of Mexico, a sediment slurry addition led to increased soil fertility and plant growth [43], and in Louisiana, areas that received up to 60 cm (47–94 kg m2) of sediment exhibited significant increases in leaf area, aboveground biomass, number of new culms, and transpiration rates approximately two years following when compared to non-sediment controls [53]. Although we did not detect clear positive responses in the plant community after six years, the fact that all plots exhibited comparable plant height, richness, and belowground biomass suggests that sediment addition did not hinder vegetation recovery in this New England salt marsh and that longer time scales (>15 years) could be required to understand any beneficial effects that emerge, as is common in restored wetlands [18,29,54,55].

Porewater chemistry

Sediment deposition beyond optimal depths [51] has the potential to disrupt porewater chemistry by limiting oxygen diffusion into the rooting zone, thus enhancing anerobic metabolic activity and promoting short-term accumulation of reduced compounds such as sulfides and ammonium that may inhibit plant growth and uptake of essential nutrients [44,45,56,57]. However, our results did not show evidence of these negative shifts, suggesting that the sediment additions resulting from storm deposition did not exceed the system’s capacity to maintain stable porewater chemistry. Throughout our six-year study, porewater salinity decreased significantly from 2018 to 2024, with 0–2 cm exhibiting the highest salinities when compared to 2–4 cm and the control plots (Fig 4A). Small increases in elevation (cm scale) resulting from sediment deposition may have reduced flooding and improved drainage, as observed in other studies [31,43], resulting in lower salinity. However, because salinity declined consistently across all treatments over time, this downward trend is more likely a result of landscape-scale hydrologic conditions and high precipitation during our time of sampling in 2024 [58]. Salinity was highest in the 0–2 cm range potentially because the sediment inputs were insufficient to alter elevation or drainage and may have even facilitated increased evaporation or salt accumulation near the surface of the marsh platform. This pattern coincided with elevated sulfide and lower redox potential relative to the other sediment thicknesses, suggesting that very thin sediment deposits may provide limited benefits to porewater chemistry. Prior studies have similarly found that responses to sediment addition can be thickness-dependent, with thinner deposits producing smaller improvements in elevation, drainage, and redox conditions than moderate sediment additions [17]. However, increases in sulfide concentrations over time may also reflect the recovery of a more natural salt marsh community. Greater plant productivity and organic matter inputs stimulate sulfate reduction, which produces sulfide along with other microbial metabolic byproducts [59]. The decline in sulfide concentrations in the 2–4 cm plots from 2018–2019 may reflect these processes. For example, sediment deposition or freshwater inputs can increase iron availability, promoting the precipitation of dissolved sulfide, thereby lowering sulfide concentrations following sediment burial [60,61]. Overall, these results suggest that sediment deposition did not adversely affect porewater chemistry and rather, may have helped to re-establish typical geochemical conditions of a natural New England salt marsh.

Conclusion

We leveraged a region-wide, natural experiment triggered by Winter Storm Grayson, which deposited a layer of spatially heterogeneous sediment across portions of the Great Marsh estuary on the North Shore of Massachusetts, USA. We evaluated vegetation and edaphic responses to sediment delivery over a medium-term (> 5 year) time scale [15] and treated this storm-driven sediment deposition as an analog for thin-layer elevation supplementation to show sediment additions can 1) increase or maintain high-marsh vegetation cover without suppressing plant height, 2) improve porewater conditions associated with flooding stress and anoxia, and 3) sustain or enhance belowground live root density across the upper 20 cm and particularly the active 0–10 cm zone, which is most critical for peat accretion and shear strength. We also showed that live root density was greatest in the 2–4 and 4–6 sediment thickness ranges, which suggests there may be an optimal range for maximizing plant recovery and enhancing marsh resilience [51]. Overall, our results suggest that sediment inputs, even when spatially patchy, can supplement elevation without negatively impacting vegetation and may instead promote belowground biomass stabilization and marsh recovery at the landscape scale.

Supporting information

S1 Table. Percent cover (mean ± standard error) by species in different plot type over the years.

https://doi.org/10.1371/journal.pone.0357442.s001

(DOCX)

S2 Table. Pairwise comparisons for live root biomass (mg/cm3) over depth.

https://doi.org/10.1371/journal.pone.0357442.s002

(DOCX)

Acknowledgments

This work could not have been completed without the contributions of Peter Phippen of the Merrimack Valley Planning Commission and Geoffrey Walker, Selectman for the Town of Newbury, who were instrumental in first making us aware of the scale and extent of the natural sediment event. Similarly, we are grateful to Nancy Pau of the United States Fish and Wildlife Service’s Parker River National Wildlife Refuge and Russ Hopping of The Trustees of Reservations for their cooperation and access to our study sites. We also thank the many graduate students (Reece Ciampitti, Gabrielle Jarrett, Marjorie Mednikova, Alexandria Sangermano, Sadi Tanvir) and undergraduate students (Mitchell Norris, Alex Marshall, Lila Wilkins) who have contributed to this effort in both field and laboratory tasks. Finally, we thank Laura Hajdukiewicz at Brooks School for coordinating high school summer volunteers (Gage Blevins and Jill Hamilton) through the Students at the Forefront Program, and Emelie Foster at the University of Georgia for supporting the REU interns. Published as Scientific Contribution Number 592 from the Jackson Estuarine Laboratory and School of Marine Science and Ocean Engineering at the University of New Hampshire.

References

  1. 1. Chmura GL, Anisfeld SC, Cahoon DR, Lynch JC. Global carbon sequestration in tidal, saline wetland soils. Global Biogeochemical Cycles. 2003;17(4).
  2. 2. Barbier EB. Valuing the storm protection service of estuarine and coastal ecosystems. Ecosyst Serv. 2015;11:32–8.
  3. 3. Costanza R, Anderson SJ, Sutton P, Mulder K, Mulder O, Kubiszewski I, et al. The global value of coastal wetlands for storm protection. Global Environmental Change. 2021;70:102328.
  4. 4. Fagherazzi S, Mariotti G, Leonardi N, Canestrelli A, Nardin W, Kearney WS. Salt Marsh Dynamics in a Period of Accelerated Sea Level Rise. JGR Earth Surface. 2020;125(8).
  5. 5. Leonardi N, Carnacina I, Donatelli C, Ganju NK, Plater AJ, Schuerch M, et al. Dynamic interactions between coastal storms and salt marshes: A review. Geomorphology. 2018;301:92–107.
  6. 6. Morris JT, Sundareshwar PV, Nietch CT, Kjerfve B, Cahoon DR. Responses of coastal wetlands to rising sea levels. Ecology. 2002;83:2869–77.
  7. 7. Nyman JA, Walters RJ, Delaune RD, Patrick WH Jr. Marsh vertical accretion via vegetative growth. Estuarine, Coastal and Shelf Science. 2006;69(3–4):370–80.
  8. 8. Redfield AC. Development of a New England Salt Marsh. Ecol Monogr. 1972;42:201–37.
  9. 9. Baumann RH, Day JW Jr, Miller CA. Mississippi deltaic wetland survival: sedimentation versus coastal submergence. Science. 1984;224(4653):1093–5. pmid:17735245
  10. 10. Mendelssohn IA, McKee KL, Patrick WH Jr. Oxygen Deficiency in Spartina alterniflora Roots: Metabolic Adaptation to Anoxia. Science. 1981;214(4519):439–41. pmid:17730244
  11. 11. Mendelssohn IA, McKee KL. Spartina alterniflora die-back in Louisiana: Time-course investigation of soil waterlogging effects. J Ecol. 1988;76:509.
  12. 12. Orson P, Panageotou W, Leatherman SP. Response of tidal salt marshes of the U.S. Atlantic and Gulf Coasts to rising sea levels. J Coast Res. 1985;1(1):29–37.
  13. 13. Reed DJ, Cahoon DR. The relationship between marsh surface topography, hydroperiod, and growth of Spartina alterniflora in a deteriorating Louisiana salt marsh. J Coast Res. 1992;8(1):77–87.
  14. 14. FitzGerald DM, Hughes ZJ, Georgiou IY, Black S, Novak A. Enhanced, climate‐driven sedimentation on salt marshes. Geophysical Research Letters. 2020;47:e2019GL086737.
  15. 15. Moore GE, Burdick DM, Routhier MR, Novak AB, Payne AR. Effects of a large-scale, natural sediment deposition event on plant cover in a Massachusetts salt marsh. PLoS One. 2021;16(1):e0245564. pmid:33481899
  16. 16. Pannozzo N, Leonardi N, Carnacina I, Smedley RK. Storm sediment contribution to salt marsh accretion and expansion. Geomorphology. 2023;430:108670.
  17. 17. Croft AL, Leonard LA, Alphin TD, Cahoon LB, Posey MH. The effects of thin layer sand renourishment on tidal marsh processes: Masonboro Island, North Carolina. Estuaries and Coasts. 2006;29(5):737–50.
  18. 18. Raposa KB, Bradley M, Chaffee C, Ernst N, Ferguson W, Kutcher TE, et al. Laying it on thick: Ecosystem effects of sediment placement on a microtidal Rhode Island salt marsh. Front Environ Sci. 2022;10. pmid:36507471
  19. 19. Thorne KM, Freeman CM, Rosencranz JA, Ganju NK, Guntenspergen GR. Thin-layer sediment addition to an existing salt marsh to combat sea-level rise and improve endangered species habitat in California, USA. Ecological Engineering. 2019;136:197–208.
  20. 20. VanZomeren CM, Berkowitz JF, Piercy CD, White JR. Restoring a degraded marsh using thin layer sediment placement: short term effects on soil physical and biogeochemical properties. Ecol Eng. 2018;20:61–7.
  21. 21. Berkowitz J, Piercy C, Welp T, VanZomeren C. Thin layer placement: technical definition for U.S. Army Corps of Engineers applications. Publ U S Army Eng Res Dev Cent. 2019.
  22. 22. Wilbur P. Managing dredged material via thin-layer disposal in coastal marshes. US Army Engineer Waterways Experiment Station. 1993. https://apps.dtic.mil/sti/tr/pdf/ADA292996.pdf
  23. 23. Davis J, Currin C, Mushegian N. Effective use of thin layer sediment application in Spartina alterniflora marshes is guided by elevation-biomass relationship. Ecol Eng. 2022;177:106566.
  24. 24. Payne AR, Burdick DM, Moore GE, Wigand C. Short-Term Effects of Thin-Layer Sand Placement on Salt Marsh Grasses: A Marsh Organ Field Experiment. J Coast Res. 2021;37(4):771–8. pmid:35957657
  25. 25. Puchkoff AL, Lawrence BA. Experimental sediment addition in salt-marsh management: Plant-soil carbon dynamics in southern New England. Ecol Eng. 2022;175:106495.
  26. 26. Raposa KB, Woolfolk A, Endris CA, Fountain MC, Moore G, Tyrrell M, et al. Evaluating Thin-Layer Sediment Placement as a Tool for Enhancing Tidal Marsh Resilience: a Coordinated Experiment Across Eight US National Estuarine Research Reserves. Estuaries and Coasts. 2023;46(3):595–615.
  27. 27. VanZomeren C, Piercy C. Thin layer placement of sediments for restoring ecological function to submerging salt marshes: a quantitative review of scientific literature. Publ U S Army Eng Res Dev Cent. 2020.
  28. 28. Kirwan ML, Megonigal JP. Tidal wetland stability in the face of human impacts and sea-level rise. Nature. 2013;504(7478):53–60. pmid:24305148
  29. 29. Stagg CL, Mendelssohn IA. Controls on resilience and stability in a sediment-subsidized salt marsh. Ecol Appl. 2011;21(5):1731–44. pmid:21830714
  30. 30. Cheng JZ, Berkowitz JF, White JR. Trajectory of coastal wetland soil physical and microbial properties 6 years after thin layer placement sediment amendment. Front Ecol Evol. 2025;13:1605785.
  31. 31. Slocum MG, Mendelssohn IA, Kuhn NL. Effects of sediment slurry enrichment on salt marsh rehabilitation: Plant and soil responses over seven years. Estuaries. 2005;28(4):519–28.
  32. 32. Harris BD, Ostojic A, Tedesco LP, VanDerSys K, Bailey S, Shawler JL. Wetland elevation change following beneficial use of dredged material nourishment. Front Ecol Evol. 2025;13:1518759.
  33. 33. Fard E, Brown LN, Ambrose RF, Whitcraft C, Thorne KM, Kemnitz NJ, et al. Increasing Salt Marsh Elevation Using Sediment Augmentation: Critical Insights from Surface Sediments and Sediment Cores. Environ Manage. 2024;73(3):614–33. pmid:37910218
  34. 34. Portnoy JW, Giblin AE. Biogeochemical effects of seawater restoration to diked salt marshes. Ecol Appl. 1997;7(3):1054–63.
  35. 35. Portnoy JW, Giblin AE. Effects of historic tidal restrictions on salt marsh sediment chemistry. Biogeochemistry. 1997;36(3):275–303.
  36. 36. Cline JD. Spectrophotometric determination of hydrogen sulfide in natural waters. Limnol Oceanogr. 1969;14(3):454–8.
  37. 37. R Core Team. R: A Language and Environment for Statistical Computing. 2024. https://www.R-project.org/
  38. 38. Smithson M, Verkuilen J. A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. Psychol Methods. 2006;11(1):54–71. pmid:16594767
  39. 39. Geissinger EA, Khoo CLL, Richmond IC, Faulkner SJM, Schneider DC. A case for beta regression in the natural sciences. Ecosphere. 2022;13(2).
  40. 40. Wobbrock JO, Findlater L, Gergle D, Higgins JJ. The aligned rank transform for nonparametric factorial analyses using only anova procedures. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2011. 143–6. https://doi.org/10.1145/1978942.1978963
  41. 41. Sellers KF, Borle SG. The COM-Poisson model for count data: a survey of methods and applications. Appl Stoch Model Bus Ind. 2012;28:104–16.
  42. 42. Hartig F. DHARMa: Residual diagnostics for hierarchical (multi-level/mixed) regression models. 2024.
  43. 43. Gilchrist R. Regression models for data with a non-zero probability of a zero response. Communications in Statistics - Theory and Methods. 2000;29(9–10):1987–2003.
  44. 44. DeLaune RD, Pezeshki SR, Pardue JH, Whitcomb JH, Patrick Jr. WH. Some influences of sediment addition to a deteriorating salt marsh in the Mississippi River deltaic plain: a pilot study. J Coast Res. 1990;6(1):181–8.
  45. 45. Mendelssohn IA, Kuhn NL. Sediment subsidy: effects on soil–plant responses in a rapidly submerging coastal salt marsh. Ecol Eng. 2003;21:115–28.
  46. 46. Ford MA, Cahoon DR, Lynch JC. Restoring marsh elevation in a rapidly subsiding salt marsh by thin-layer deposition of dredged material. Ecol Eng. 1999;12(3–4):189–205.
  47. 47. Gleason ML, Zieman JC. Influence of tidal inundation on internal oxygen supply of Spartina alterniflora and Spartina patens. Estuarine, Coastal and Shelf Science. 1981;13(1):47–57.
  48. 48. Baustian JJ, Mendelssohn IA. Hurricane-Induced Sedimentation Improves Marsh Resilience and Vegetation Vigor under High Rates of Relative Sea Level Rise. Wetlands. 2015;35(4):795–802.
  49. 49. Stagg CL, Mendelssohn IA. Restoring ecological function to a submerged salt marsh. Restoration Ecology. 2010;18(1):10–7.
  50. 50. Cahoon DR, McKee KL, Morris JT. How Plants Influence Resilience of Salt Marsh and Mangrove Wetlands to Sea-Level Rise. Estuaries and Coasts. 2020;44(4):883–98.
  51. 51. Walters DC, Kirwan ML. Optimal hurricane overwash thickness for maximizing marsh resilience to sea level rise. Ecol Evol. 2016;6(9):2948–56. pmid:27069590
  52. 52. McKee KL, Cherry JA. Hurricane Katrina sediment slowed elevation loss in subsiding brackish marshes of the Mississippi River delta. Wetlands. 2009;29(1):2–15.
  53. 53. Pezeshki SR, DeLaune RD, Pardue JH. Sediment addition enhances transpiration and growth of Spartina alterniflora in deteriorating Louisiana Gulf Coast salt marshes. Wet Ecol Manage. 1992;1:185–9.
  54. 54. Berkowitz JF. Quantifying Functional Increases Across a Large-Scale Wetland Restoration Chronosequence. Wetlands. 2018;39(3):559–73.
  55. 55. McAtee KJ, Thorne KM, Whitcraft CR. Short-term impact of sediment addition on plants and invertebrates in a southern California salt marsh. PLoS One. 2020;15(11):e0240597. pmid:33151998
  56. 56. Bradley PM, Morris JT. Influence of oxygen and sulfide concentration on nitrogen uptake kinetics in Spartina alterniflora. Ecol. 1990;71(1):282–7.
  57. 57. Howes BL, Howarth RW, Teal JM, Valiela I. Oxidation-reduction potentials in a salt marsh: spatial patterns and interactions with primary production. Limnol Oceanogr. 1981;26(2):350–60.
  58. 58. U.S. Geological Survey. Precipitation Data. https://www.usgs.gov/data/precipitation-data. 2025. Accessed 2025 November 26.
  59. 59. Howarth RW, Teal JM. Sulfate reduction in a New England salt marsh. Limnol Oceanogr. 1979;24(6):999–1013.
  60. 60. Luther III GW, Ferdelman TG, Kostka JE, Tsamakis EJ, Church TM. Temporal and spatial variability of reduced sulfur species (FeS2, S2O3 2−) and porewater parameters in salt marsh sediments. Biogeochem. 1991;14:57–88.
  61. 61. Berkowitz JF, VanZomeren CM. Evaluation of iron sulfide soil formation following coastal marsh restoration – observations from three case studies report. U S Army Eng Res Dev Cent. 2020. https://apps-dtic-mil.unh.idm.oclc.org/sti/tr/pdf/AD1090082.pdf