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                    "firstName": "L.",
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            "abstractNote": "The transport and retention of freshwater in estuaries affect habitat, water quality, and biogeochemical cycles. This study implemented a numerical hydrodynamic and particle tracking model to understand the variability in freshwater transport and retention in the Kaktovik Lagoon chain, a series of connected Beaufort Sea back-barrier estuaries in Arctic Alaska. Specifically, the Regional Ocean Modeling System (ROMS) was implemented for the peak open water season of 2019. Salinity and the transport of Lagrangian tracers released at river mouths were analyzed during six periods over late July into September, characterized by different winds, shelf currents, and river discharge. Modeled lagoon currents and freshwater transport oscillated primarily in the along-shore direction, consistent with east-west winds and shelf currents. Across the lagoon chain, freshwater was preferentially retained in more protected lagoons and in deeper regions of the estuary, whereas lagoons with greater connectivity to the shelf experienced more rapid loss to other regions of the chain or export to the shelf. Depending on winds, shelf currents, and river discharge, about 30-87% of the total freshwater tracers were exported from the lagoon chain within three days, with the fastest export during periods of westward transport. Uncertainties in forcings condition the results, with river-discharge uncertainty alone altering export by up to ∼10% and half-life by up to ∼2.4 days. Despite this uncertainty, the results demonstrate that freshwater retention is favored in more protected and deeper regions and when winds and shelf currents are weak.",
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                    "firstName": "Kristina D.",
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            "abstractNote": "In contrast to temperate systems, Arctic lagoons that span the Alaska Beaufort Sea coast face extreme seasonality. Nine months of ice cover up to ~1.7 m thick is followed by a spring thaw that introduces an enormous pulse of freshwater, nutrients, and organic matter into these lagoons over a relatively brief 2-3-week period. Prokaryotic communities link these subsidies to lagoon food webs through nutrient uptake, heterotrophic production, and other biogeochemical processes, but little is known about how the genomic capabilities of these communities respond to seasonal variability. Replicate water samples from two lagoons and one coastal site near Kaktovik, AK were collected in April (full ice cover), June (ice break up), and August (open water) to represent winter, spring, and summer respectively. Samples were size fractionated to distinguish free-living and particle-attached microbial communities. Multivariate analysis of metagenomes indicated that seasonal variability in gene abundances was greater than variability between size fractions and sites, and that June differed significantly from the other months. Spring (June) gene abundances reflected the high input of watershed-sourced nutrients and organic matter via spring thaw, featuring indicator genes for denitrification possibly linked to greater organic carbon availability, and genes for processing phytoplankton-derived organic matter associated with spring blooms. Summer featured fewer indicator genes, but had increased abundances of anoxygenic photosynthesis genes, possibly associated with elevated light availability. Winter (April) gene abundances suggested low energy inputs and autotrophic bacterial metabolism, featuring indicator genes for chemoautotrophic carbon fixation, methane metabolism, and nitrification. Winter indicator genes for nitrification belonged to Thaumarchaeota and Nitrosomonadales, suggesting these organisms play an important role in oxidizing ammonium during the under-ice period. This study shows that high latitude estuarine microbial assemblages shift metabolic capabilities as they change phylogenetic composition between these extreme seasons, providing evidence that these communities may be resilient to large hydrological events in a rapidly changing Arctic.",
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                    "firstName": "Christina",
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            "abstractNote": "Seasonal hydrographic fluctuations may impart strong abiotic control on community structure in nearshore Arctic ecosystems, but the effects may be overcome by propagule delivery and recruitment. We compared spatial differences in benthic community structure to environmental factors (temperature, salinity, current speed, underwater light) and static habitat attributes (depth, distance from river inputs) in a shallow High Arctic kelp bed in the Beaufort Sea. Spatial and temporal patterns of recruitment and community development were observed to assess the timescale and trajectory of community development. Foliose red algae (47-79%), prostrate kelps (2-19%), and crustose coralline algae (0-19%) dominated the epilithic community. Strong spatial distinctions among sites included a positive correlation between cover by crustose coralline algae and distance to river inputs. We found no significant relationships between environmental factors and functional groups. Differences between early-successional and established benthic communities indicated that slow growth rates result in prolonged community development, augmented by strong abiotic control over local community structure. Growth and post-recruitment mortality determine crustose coralline algae and invertebrate prevalence in the established community, while kelp seem to be largely recruitment-limited. On scales >1 m, community structure depends on bathymetry and exposure to freshwater intrusion. Colonization rates (means of 3.3-69.9 ind. 100 cm-1 year-1 per site) were much lower than studies in other Arctic kelp habitats, and likely reflect the nature of a truly High Arctic environment. Our results suggest that community development in the nearshore Beaufort Sea occurs over decades, and is affected by combinations of recruitment limitation, primary disturbance, and seasonal abiotic stressors. While seasonality exerts strong influence on Arctic systems, static habitat characteristics connect seasonal variability to benthic ecosystem structure by integrating abiotic conditions over timescales longer than most ecological studies.",
            "publicationTitle": "Frontiers in Marine Science",
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                    "creatorType": "author",
                    "firstName": "M. Bayani",
                    "lastName": "Cardenas"
                }
            ],
            "abstractNote": "Abstract\n            \n              Fresh submarine groundwater discharge (FSGD) can deliver significant fluxes of water and solutes from land to sea. In the Arctic, which accounts for ∼34% of coastlines globally, direct observations and knowledge of FSGD are scarce. Through integration of observations and process‐based models, we found that regardless of ice‐bonded permafrost depth at the shore, summer SGD flow dynamics along portions of the Beaufort Sea coast of Alaska are similar to those in lower latitudes. Calculated summer FSGD fluxes in the Arctic are generally higher relative to low latitudes. The FSGD organic carbon and nitrogen fluxes are likely larger than summer riverine input. The FSGD also has very high CO\n              2\n              making it a potentially significant source of inorganic carbon. Thus, the biogeochemistry of Arctic coastal waters is potentially influenced by groundwater inputs during summer. These water and solute fluxes will likely increase as coastal permafrost across the Arctic thaws.\n            \n          , \n            Plain Language Summary\n            Groundwater flows from land to sea, transporting freshwater, organic matter, nutrients, and other solutes that impact coastal ecosystems. However, along coasts of the rapidly‐warming Arctic, there is limited knowledge regarding how much fresh groundwater enters the ocean. Using field observations and numerical models, we show that groundwater flowing from tundra in northern coastal Alaska carries large amounts of freshwater, organic matter, and carbon dioxide to the Arctic lagoons during summer. These inputs are likely significant to coastal biogeochemical cycling and marine food webs. Groundwater discharge and the associated transport of dissolved materials are expected to increase due to longer periods of above‐zero temperatures that thaw frozen soils below the tundra.\n          , \n            Key Points\n            \n              \n                \n                  Summer fresh submarine groundwater discharge (FSGD) to the Alaskan Beaufort Sea is only 3%–7% of rivers but carries as much organic matter\n                \n                \n                  Summer FSGD delivers a median of 116 (interquartile range: 35–405) and 6 (2–21) kg/d per km dissolved organic carbon and nitrogen\n                \n                \n                  \n                    Fresh groundwater at the beach of Simpson Lagoon (SL) has a median PCO\n                    2\n                    of ∼33,000 μatm implying substantial CO\n                    2\n                    flux",
            "publicationTitle": "Geophysical Research Letters",
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            "date": "2024-11-28",
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            "partTitle": "",
            "pages": "e2024GL109142",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Geophysical Research Letters",
            "DOI": "10.1029/2024GL109142",
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            "title": "Barrier islands influence the assimilation of terrestrial energy in nearshore fishes",
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                    "creatorType": "author",
                    "firstName": "Ashley E.",
                    "lastName": "Stanek"
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                    "creatorType": "author",
                    "firstName": "Vanessa R.",
                    "lastName": "von Biela"
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                    "lastName": "Laske"
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                    "lastName": "Taylor"
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                    "creatorType": "author",
                    "firstName": "Kenneth H.",
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            "abstractNote": "We examined the relative importance of landscape features on estuarine fish trophic structure and dependence on terrestrial organic matter (OMterr) in four barrier island lagoon systems along the Alaskan Beaufort Sea coast. Our study compared two relatively large lagoon systems characterized by high river discharge and relatively free ocean water exchanges (central region near Prudhoe Bay, Alaska) with two highly protected lagoons characterized by low river discharge and limited exchange with ocean waters (eastern region near Kaktovik, Alaska). We hypothesized that freshwater discharge would be a strong determinant of food web structure for both resident marine and diadromous fishes if more discharge increases availability of OMterr relative to lagoons with limited or no river inputs. To consider differences in trophic characteristics in fishes between study regions, we estimated community-wide measures of trophic structure (hereafter, community metrics) and the relative use of OMterr from mixing models using stable isotope composition (δ13C and δ15N; muscle tissue) among 12 species and identified the influences of region and body size. Fish captured in lagoons well protected by barrier islands had more distinct and diverse isotopic niches relative to those in more exposed lagoons based on community metrics. The use of OMterr by nearshore fishes in both regions was substantial and was >50% for diadromous species. Between regions, OMterr use differed in 6 of the 8 species considered but was not consistently higher in one region. The relative importance of OMterr varied with fish size in 7 of 10 species considered, with more OMterr used by smaller individuals. This work highlights the importance of OMterr to Arctic fishes and fisheries, some of which are of subsistence importance, even when feeding grounds are primarily marine. We propose that landscape features, particularly barrier islands, play an important role in structuring nearshore food webs. Barrier islands may provide a previously undocumented ecosystem service of increasing food web complexity, which may promote system resilience.",
            "publicationTitle": "Estuarine, Coastal and Shelf Science",
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            "itemType": "journalArticle",
            "title": "Wind-driven Circulation Impacts Water Quality and pCO2 Over an Estuarine Gradient in an Arctic Lagoon",
            "creators": [
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                    "creatorType": "author",
                    "firstName": "Alina",
                    "lastName": "Spera"
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                    "lastName": "Peterson"
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                    "creatorType": "author",
                    "firstName": "Vanessa",
                    "lastName": "Lougheed"
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            ],
            "abstractNote": "Arctic carbon (C) budgets typically exclude estuarine and coastal CO2 dynamics despite evidence that these systems can be a source of atmospheric CO2, unlike the shelf waters and the open ocean. High frequency measurements of Arctic coastal pCO2 are limited but needed to understand C cycling responses to interacting influences of terrestrial and oceanic inputs. We measured continuous pCO2 and estimated CO2 fluxes during three open water seasons at five sites across an Arctic estuary, including three shallow sites (≤ 1 m), and two deep sites (> 2 m). During the open water season, wind-driven currents controlled the distribution of terrestrial and marine materials, which influenced spatial and temporal patterns - both daily and interannual - in lagoon water quality. Lagoon waters generally had undersaturated pCO₂ relative to the atmosphere, particularly at the deeper sites. pCO₂ increased or reached saturation at all sites when wind-driven circulation enhanced terrestrial influence that led to warmer, fresher conditions with elevated light attenuation and higher apparent oxygen utilization. On average, two shallow sites were sources of CO2 to the atmosphere, potentially due to their proximity to eroding coastal bluffs, inputs from an intermediate-sized river, and wind driven resuspension events. Continuous measurements and high spatial coverage are important to detect and scale CO2 fluxes across the open water season in the Arctic nearshore zone, especially those draining understudied, smaller watersheds.",
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            "pages": "49",
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            "DOI": "10.1007/s12237-025-01662-6",
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            "title": "Landscape Controls River Continuum Dissolved Organic Carbon in Northeastern Alaska",
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                    "creatorType": "author",
                    "firstName": "C. T.",
                    "lastName": "Connolly"
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                {
                    "creatorType": "author",
                    "firstName": "J. C.",
                    "lastName": "Koch"
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                {
                    "creatorType": "author",
                    "firstName": "J. W.",
                    "lastName": "McClelland"
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                    "firstName": "M. A.",
                    "lastName": "Rawlins"
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                    "creatorType": "author",
                    "firstName": "M.",
                    "lastName": "Repasch"
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            ],
            "abstractNote": "Rivers draining continuous permafrost landscapes on the North Slope of Alaska span from the mountains to the coast, integrating gradients in vegetation, soil organic matter, and hydrologic flow. We investigated how these landscape transitions influence dissolved organic carbon (DOC) concentrations, radiocarbon ages, and export along the river continuum over seasonal timeframes in northeastern Alaska. Water samples were collected from the Canning River and its tributaries from the spring freshet through late summer via multiple campaigns during 2011–2024. A simulation from the Permafrost Water Balance Model (PWBM) estimated terrain-specific contributions to freshwater and DOC export. River DOC concentrations peaked during the spring and declined in summer, with episodic increases linked to summer rainfall. Summer river DOC concentrations from the Brooks Range remained low (0.41–0.64 mg C L−1) but increased downstream (0.5–3.0 mg C L−1), becoming younger from the mountains (805 yBP) to the river delta (525 yBP) as flow from DOC-enriched streams draining the foothills (6–18 mg C L−1; Modern yBP) entered the Canning. The PWBM simulation revealed that while the mountains dominate the Canning's annual (90%) and spring-summer (88%–93%) freshwater export, the foothills disproportionately influence its annual (56%) and spring-summer (44%–58%) DOC export. DOC yields from the coastal plain were also high but had little influence due to its small contributing area. Our findings highlight the outsized role of the foothills in modulating river-integrated DOC export to coastal ecosystems. Considering the impact of these landscapes on carbon source and runoff will aid in anticipating future DOC fluxes from Arctic rivers.",
            "publicationTitle": "Water Resources Research",
            "publisher": "",
            "place": "",
            "date": "2026",
            "volume": "62",
            "issue": "9",
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            "partTitle": "",
            "pages": "e2025WR042358",
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            "rights": "© 2026 The Author(s). Water Resources Research published by Wiley Periodicals LLC on behalf of American Geophysical Union. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.",
            "extra": "https://doi.org/10.6073/pasta/543de845044f3fc573b919b57d190a83",
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            "title": "Time-Varying Hydroclimatic and Oceanic Controls on Arctic Submarine Groundwater Discharge Inferred Using Explainable AI",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Cansu",
                    "lastName": "Demir"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jesus D.",
                    "lastName": "Gomez-Velez"
                },
                {
                    "creatorType": "author",
                    "firstName": "Julia",
                    "lastName": "Guimond"
                },
                {
                    "creatorType": "author",
                    "firstName": "James W.",
                    "lastName": "McClelland"
                },
                {
                    "creatorType": "author",
                    "firstName": "Matthew A.",
                    "lastName": "Charette"
                },
                {
                    "creatorType": "author",
                    "firstName": "M.",
                    "lastName": "Bayani Cardenas"
                }
            ],
            "abstractNote": "Submarine groundwater discharge (SGD), an important component of coastal water and nutrient budgets, is challenging to monitor and predict in the Arctic given the remoteness and harsh conditions. Here, we used explainable artificial intelligence to quantify the time-varying importance of hydroclimatic and oceanic drivers of SGD at an Arctic beach from the early thaw period to late summer. Deep learning models were trained on in situ observations and reanalysis data, and feature contributions to model prediction were quantified using SHAP (Shapley Additive Explanations). We learned the following: potential evaporation is the dominant control on groundwater storage and SGD over seasonal scales; winds regulate short-term groundwater levels and intermediate-term discharge; soil temperature modulates groundwater storage via thaw-driven processes; and precipitation is important for short-term groundwater flushing and seasonal-scale storage. These insights on the scale-dependent SGD controls establish a framework for hindcasting and forecasting groundwater dynamics in remote Arctic environments.",
            "publicationTitle": "Geophysical Research Letters",
            "publisher": "",
            "place": "",
            "date": "2026",
            "volume": "53",
            "issue": "15",
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            "partTitle": "",
            "pages": "e2026GL123641",
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            "accessDate": "2026-07-30T15:21:42Z",
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            "PMCID": "",
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            "archive": "",
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            "language": "en",
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                    "creatorType": "author",
                    "firstName": "Harshavardhini",
                    "lastName": "Bagavathyraj"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sergio",
                    "lastName": "Vargas Zesati"
                },
                {
                    "creatorType": "author",
                    "firstName": "Olac",
                    "lastName": "Fuentes"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sasha",
                    "lastName": "Peterson"
                },
                {
                    "creatorType": "author",
                    "firstName": "Craig E.",
                    "lastName": "Tweedie"
                }
            ],
            "abstractNote": "The Arctic coastline spans multiple countries, supports Indigenous livelihoods, and plays a vital role in the Arctic system. Rapid climate change is accelerating permafrost thaw, sea-level rise, and coastal erosion, underscoring the need for decision making to be informed by accurate delineation of tundra shoreline (instantaneous water line) and bluff edge (vegetation–slope boundary) position and change trends. To address this need, we compared two image segmentation approaches for mapping Arctic land and water interfaces from high-resolution satellite imagery. (1) U-Net, a supervised convolutional neural network trained on expert-annotated scenes, and (2) Differentiable Feature Clustering (DifFeat), an unsupervised model applied in a minimally supervised manner via expert-guided cluster selection. The shoreline and bluff edge boundaries were derived from the segmented land and water masks using an automated interface extraction approach. DifFeat achieved higher segmentation accuracy, with IoU values of 0.95 (water) and 0.92 (land), compared to U-Net’s 0.58 and 0.50, respectively. U-Net produced reliable results and benefited from infrared and vegetation spectral indices, but required extensive annotation and showed limited generalization to UAV imagery. DifFeat achieved superior results without manual annotation, reducing the dependence on labeled data and completing training 99.87% faster than U-Net. These findings highlight the complementary strengths of supervised and semi-supervised models for Arctic coastal mapping, with DifFeat offering a scalable, label-efficient solution for long-term coastal-change monitoring. Future work will integrate elevation data to further improve bluff edge feature detection.",
            "publicationTitle": "Frontiers in Environmental Science",
            "publisher": "Frontiers",
            "place": "",
            "date": "2026-01-21",
            "volume": "13",
            "issue": "",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Front. Environ. Sci.",
            "DOI": "10.3389/fenvs.2025.1657984",
            "citationKey": "",
            "url": "https://doi.org/10.3389/fenvs.2025.1657984",
            "accessDate": "2026-01-22T16:03:03Z",
            "PMID": "",
            "PMCID": "",
            "ISSN": "2296-665X",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "English",
            "libraryCatalog": "Frontiers",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "LTER-BLE"
                },
                {
                    "tag": "Supported"
                },
                {
                    "tag": "U-Net",
                    "type": 1
                },
                {
                    "tag": "bluff edge",
                    "type": 1
                },
                {
                    "tag": "deep learning",
                    "type": 1
                },
                {
                    "tag": "differentiable feature clustering",
                    "type": 1
                },
                {
                    "tag": "satellite imagery",
                    "type": 1
                },
                {
                    "tag": "segmentation",
                    "type": 1
                },
                {
                    "tag": "shoreline",
                    "type": 1
                },
                {
                    "tag": "unsupervised learning",
                    "type": 1
                }
            ],
            "collections": [
                "IJ4K8DFH",
                "KHTHLKB5"
            ],
            "relations": {},
            "dateAdded": "2026-01-22T16:03:03Z",
            "dateModified": "2026-01-22T16:27:57Z"
        }
    }
]