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  • Arctic Ocean  (23)
  • American Geophysical Union  (20)
  • Anchorage, AK : Audubon Alaska  (3)
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  • 1
    Unknown
    Anchorage, AK : Audubon Alaska
    Keywords: Arctic Ocean ; Alaska ; ecology
    Description / Table of Contents: Introduction 2 --- Physical Setting 6 --- Topography 8 --- Geologic Setting: Glaciers & Karst 11 --- Air Temperature 14 --- Precipitation 18 --- Snow 22 --- Watersheds & Value Comparison Units (VCUs) 27 --- Biological Setting 32 --- Biogeographic Provinces 34 --- Wetlands 39 --- Estuaries 41 --- Land Cover & Forest Vegetation 44 --- Old-growth & Second-growth Forest 51 --- Core Areas of High Biological Value 57 --- Index of Cumulative Ecological Risk 60 --- Anadromous Fish 66 --- Anadromous Fish Habitat 68 --- King (Chinook) Salmon 73 --- Red (Sockeye) Salmon 76 --- Silver (Coho) Salmon 79 --- Pink (Humpy) Salmon 82 --- Chum (Dog) Salmon 85 --- Steelhead Trout 88 --- Dolly Varden 91 --- Coastal Cutthroat Trout 95 --- Eulachon 99 --- Birds 108 --- Bird Species Richness 110 --- Important Bird Areas (IBAs) 114 --- Marine Bird Colonies 117 --- Marbled Murrelet 120 --- Kittlitz’s Murrelet 123 --- Shorebirds 126 --- Prince of Wales Spruce Grouse 129 --- Queen Charlotte Goshawk 132 --- Bald Eagle 135 --- Mammals 142 --- Mammal Species Richness 144 --- Northern Flying Squirrel 147 --- Sitka Black-tailed Deer 150 --- Alexander Archipelago Wolf 155 --- Brown Bear 160 --- Black Bear 164 --- Human Uses 174 --- Land Ownership 176 --- Transportation and Energy Infrastructure 180 --- Community Subsistence Use 187 --- Timber 191 --- Metals Mining 195 --- Sport and Commercial Fishing 201 --- Land Use Designations 206 --- Conservation Area Design for Southeast Alaska 211 --- Tongass 77 Watersheds 214 --- Conservation Summary 222
    Pages: Online-Ressource (223 Seiten) , Illustrationen, Diagramme, Karten
    Language: English
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  • 2
    Keywords: Arctic Ocean ; Alaska ; ecology
    Description / Table of Contents: Chapter 1: Introduction 2 --- 1.1 Introduction 2 --- 1.2 A Closer Look: Kawerak’s Contribution of Traditional Knowledge 7 --- Map 1.1 Regional Overview 12 --- Chapter 2: Physical Setting 14 --- 2.1 Ocean Currents 16 --- Map 2.1 Ocean Currents 20 --- 2.2 Sea Ice 22 --- Map 2.2a Sea Ice Advance 26 --- Map 2.2b Sea Ice Retreat 28 --- 2.3 Climate 30 --- Maps 2.3a–p Climate 36 --- 2.4 A Closer Look: Bering Sea Weather 38 --- Chapter 3: Biological Setting 42 --- 3.1 Primary Productivity 44 --- Map 3.1 Primary Productivity 46 --- 3.2 Zooplankton 48 --- Map 3.2 Zooplankton 50 --- 3.3 Benthic Biomass 52 --- Map 3.3 Benthic Biomass 56 --- 3.4 Snow and Tanner Crabs 58 --- Map 3.4 Snow Crab 62 --- 3.5 Red King Crab 64 --- Map 3.5 Red King Crab 67 --- Chapter 4: Fishes 72 --- 4.1 Forage Fish Assemblages 74 --- Map 4.1.1 Osmerids 78 --- Map 4.1.2 Pacific Herring 80 --- 4.2 Walleye Pollock 82 --- Map 4.2 Walleye Pollock 84 --- 4.3 North Pacific Cods 85 --- Map 4.3 North Pacific Cods 88 --- 4.4 Atka Mackerel 90 --- Map 4.4 Atka Mackerel 92 --- 4.5 Yellowfin Sole 94 --- Map 4.5 Yellowfin Sole 96 --- 4.6 Pacific Halibut 98 --- Map 4.6 Pacific Halibut 100 --- 4.7 Pacific Salmon 101 --- Map 4.7 Pacific Salmon 104 --- Chapter 5: Birds 110 --- 5.1 Marine Bird Colonies 112 --- Map 5.1.1 Marine Bird Colonies 116 --- Maps 5.1.2a–d Foraging Guilds 118 --- 5.2 Important Bird Areas 120 --- Map 5.2 Important Bird Areas 122 --- 5.3 A Closer Look: Bird Density and Survey Effort 124 --- Map 5.3.1 Annual Bird Density 124 --- Map 5.3.2 Bird Survey Effort 124 --- Maps 5.3.3a–d Seasonal Bird Density 125 --- Marine Waterbirds --- 5.4 Eiders 126 --- Map 5.4.1 King Eider 132 --- Map 5.4.2 Spectacled Eider 134 --- Map 5.4.3 Steller’s Eider 136 --- Map 5.4.4 Common Eider 138 --- 5.5 Long-tailed Duck 140 --- Map 5.5 Long-tailed Duck 144 --- 5.6 Loons 146 --- Map 5.6.1 Yellow-billed Loon 150 --- Map 5.6.2 Red-throated Loon 152 --- 5.7 Red-faced Cormorant 154 --- Map 5.7 Red-faced Cormorant 156 --- 5.8 Phalaropes 157 --- Map 5.8.1 Red-necked Phalarope 160 --- Map 5.8.2 Red Phalarope 160 --- 5.9 Aleutian Tern 161 --- Map 5.9 Aleutian Tern 163 --- 5.10 Kittiwakes 164 --- Map 5.10.1 Red-legged Kittwake 167 --- Map 5.10.2 Black-legged Kittwake 167 --- 5.11 Ivory Gull 168 --- Map 5.11 Ivory Gull 170 --- Seabirds --- 5.12 Murres 171 --- Map 5.12.1 Common Murre 174 --- Map 5.12.2 Thick-billed Murre 174 --- Map 5.12.3 Total Murres 175 --- 5.13 Puffins 176 --- Map 5.13.1 Horned Puffin 179 --- Map 5.13.2 Tufted Puffin 179 --- 5.14 Auklets 180 --- Map 5.14.1 Parakeet Auklet 186 --- Map 5.14.2 Crested Auklet 186 --- Map 5.14.3 Whiskered Auklet 187 --- Map 5.14.4 Least Auklet 187 --- 5.15 Short-tailed Albatross 188 --- Map 5.15 Short-tailed Albatross 190 --- 5.16 Shearwaters 191 --- Map 5.16 Short-tailed / Sooty Shearwater 194 --- Chapter 6: Mammals 204 --- 6.1 Polar Bear 206 --- Maps 6.1a–d Polar Bear Seasonal Distribution 212 --- Pinnipeds --- 6.2 Pacific Walrus 214 --- Map 6.2a Pacific Walrus Summer / Fall 220 --- Map 6.2b Pacific Walrus Winter / Spring 222 --- 6.3 Ice Seals 224 --- Map 6.3.1 Bearded Seal 230 --- Map 6.3.2 Ribbon Seal 230 --- Map 6.3.3 Ringed Seal 231 --- Map 6.3.4 Spotted Seal 231 --- 6.4 Steller Sea Lion 232 --- Map 6.4 Steller Sea Lion 234 --- 6.5 Northern Fur Seal 236 --- Map 6.5 Northern Fur Seal 238 --- Cetaceans --- 6.6 Beluga Whale 240 --- Map 6.6.1 Beluga Whale Stocks 243 --- Map 6.6.2 Beluga Whale 244 --- 6.7 Bowhead Whale 246 --- Maps 6.7a–d Bowhead Whale Seasonal Distribution 250 --- 6.8 Gray Whale 252 --- Map 6.8 Gray Whale 254 --- 6.9 Humpback Whale 255 --- Map 6.9 Humpback Whale 257 --- Chapter 7: Human Uses 266 --- 7.1 A Closer Look: Historical Perspective 268 --- 7.2 Transportation and Energy Infrastructure 270 --- Map 7.2 Transportation and Energy Infrastructure 274 --- 7.3 Petroleum Exploration and Development 276 --- Map 7.3 Petroleum Exploration and Development 282 --- 7.4 A Closer Look: Artificial Islands 284 --- 7.5 Vessel Traffic 285 --- Map 7.5.1 Vessel Density 288 --- Map 7.5.2 Vessel Traffic Patterns 290 --- Maps 7.5.3a–m Vessel Traffic by Month 292 --- 7.6 A Closer Look: Unimak Pass and Bering Strait Vessel Traffic 294 --- 7.7 Fisheries Management Conservation Areas 296 --- Map 7.7 Fisheries Management Conservation Areas 298 --- 7.8 Subsistence 300 --- Maps 7.8.1a–g Subsistence Harvest Areas by Species 306 --- Map 7.8.2 Reported Subsistence Harvest 310 --- 7.9 A Closer Look: The Legal Framework for US Arctic Marine Resource Protection 312 --- 7.10 Conservation Areas 314 --- Map 7.10 Conservation Areas 318 --- Chapter 8: Conservation Summary 326
    Pages: Online-Ressource (332 Seiten) , Illustrationen, Diagramme, Karten
    Edition: 2nd edition
    Language: English
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  • 3
    Unknown
    Anchorage, AK : Audubon Alaska
    Keywords: Arctic Ocean ; Alaska ; ecology
    Description / Table of Contents: In July 2016, Audubon Alaska completed a long-term effort to integrate the best available science into a series of maps highlighting key resources within Alaska's Western Arctic. The resulting publication, the Ecological Atlas of Alaska's Western Arctic, helps the reader explore the land­scape and better understand the overlap of wildlife, people, and development to inform conservation and management.
    Pages: Online-Ressource (71 Seiten) , Illustrationen, Diagramme, Karten
    Edition: 3rd edition
    Language: English
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  • 4
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2004. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 109 (2004): C04008, doi:10.1029/2001JC001248.
    Description: Observations of the ocean, atmosphere, and ice made by Ice-Ocean Environmental Buoys indicate that mixing events reaching the depth of the halocline have occurred in various regions in the Arctic Ocean. Our analysis suggests that these mixing events were mechanically forced by intense storms moving across the buoy sites. In this study, we analyzed these mixing events in the context of storm developments that occurred in the Beaufort Sea and in the general area just north of Fram Strait, two areas with quite different hydrographic structures. The Beaufort Sea is strongly influenced by inflow of Pacific water through Bering Strait, while the area north of Fram Strait is directly affected by the inflow of warm and salty North Atlantic water. Our analyses of the basin-wide evolution of the surface pressure and geostrophic wind fields indicate that the characteristics of the storms could be very different. The buoy-observed mixing occurred only in the spring and winter seasons when the stratification was relatively weak. This indicates the importance of stratification, although the mixing itself was mechanically driven. We also analyze the distribution of storms, both the long-term climatology and the patterns for each year in the past 2 decades. The frequency of storms is also shown to be correlated (but not strongly) to Arctic Oscillation indices. This study indicates that the formation of new ice that leads to brine rejection is unlikely the mechanism that results in the type of mixing that could overturn the halocline. On the other hand, synoptic-scale storms can force mixing deep enough to the halocline and thermocline layer. Despite a very stable stratification associated with the Arctic halocline, the warm subsurface thermocline water is not always insulated from the mixed layer.
    Description: This study has been supported by the NASA Cryospheric Science Program and the International Arctic Reseach Center. We benefited from discussion with Dr. A. Proshutinsky. D. Walsh wishes to thank the Frontier Research System for Global Change for their support. The IOEB program was supported by ONR High-Latitude Dynamics Program and Japan Marine Science and Technology Center (JAMSTEC).
    Keywords: Arctic Ocean ; Mixing ; Storm ; Upper ocean
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2011. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 116 (2011): C00D03, doi:10.1029/2011JC006975.
    Description: Data collected by an autonomous ice-based observatory that drifted into the Eurasian Basin between April and November 2010 indicate that the upper ocean was appreciably fresher than in 2007 and 2008. Sea ice and snowmelt over the course of the 2010 drift amounted to an input of less than 0.5 m of liquid freshwater to the ocean (comparable to the freshening by melting estimated for those previous years), while the observed change in upper-ocean salinity over the melt period implies a freshwater gain of about 0.7 m. Results of a wind-driven ocean model corroborate the observations of freshening and suggest that unusually fresh surface waters observed in parts of the Eurasian Basin in 2010 may have been due to the spreading of anomalously fresh water previously residing in the Beaufort Gyre. This flux is likely associated with a 2009 shift in the large-scale atmospheric circulation to a significant reduction in strength of the anticyclonic Beaufort Gyre and the Transpolar Drift Stream.
    Description: This work was funded by the National Science Foundation Office of Polar Programs Arctic Sciences Section under awards ARC‐0519899, ARC‐0856479, and ARC‐ 0806306.
    Keywords: Arctic Ocean ; Circulation ; Fresh water
    Repository Name: Woods Hole Open Access Server
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  • 6
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2004. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 109 (2004): C03002, doi:10.1029/2003JC001962.
    Description: Pathways of Pacific Water flowing from the North Pacific Ocean through Bering Strait and across the Chukchi Sea are investigated using a two-dimensional barotropic model. In the no-wind case, the flow is driven only by a prescribed steady northward flow of 0.8 Sv through Bering Strait. The resulting steady state circulation consists of a broad northeasterly flow, basically following the topography, with a few areas of intensified currents. About half of the inflow travels northwest through Hope Valley, while the other half turns somewhat toward the northeast along the Alaskan coast. The flow through Hope Valley is intensified as it passes through Herald Canyon, but much of this flow escapes the canyon to move eastward, joining the flow in the broad valley between Herald and Hanna Shoals, another area of slightly intensified currents. There is a confluence of nearly all of the flow along the Alaskan coast west of Pt. Barrow to create a very strong and narrow coastal jet that follows the shelf topography eastward onto the Beaufort shelf. Thus in this no-wind case, nearly all of the Pacific Water entering the Chukchi Sea eventually ends up flowing eastward along the narrow Beaufort shelf, with no discernable flow across the shelf edge toward the interior Canada Basin. Travel times for water parcels to move from Bering Strait to Pt. Barrow vary tremendously according to the path taken; e.g., less than 6 months along the Alaskan coast, but about 30 months along the westernmost path through Herald Canyon. This flow field is relatively insensitive to idealized wind-forcing when the winds are from the south, west or north, in which cases the shelf transports tend to be intensified. However, strong northeasterly to easterly winds are able to completely reverse the flows along the Beaufort shelf and the Alaskan coast, and force most of the throughflow in a more northerly direction across the Chukchi Sea shelf edge, potentially supplying the surface waters of the interior Canada Basin with Pacific Water. The entire shelf circulation reacts promptly to changing wind conditions, with a response time of ~2–3 days. The intense coastal jet between Icy Cape and Pt. Barrow implies that dense water formed here from winter coastal polynyas may be quickly swept away along the coast. In contrast, there is a relatively quiet nearshore region to the west, between Cape Lisburne and Icy Cape, where dense water may accumulate much longer and continue to become denser before it is carried across the shelf.
    Description: Financial support was provided to PW by the Postdoctoral Scholar Program at the Woods Hole Oceanographic Institution (WHOI), the Swedish Foundation for International Cooperation in Research and Higher Education (STINT), and the J. Seward Johnson Fund. Funding for DCC came through a grant from the Coastal Ocean Institute at WHOI.
    Keywords: Arctic Ocean ; Pacific Water ; Chukchi Sea
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2007. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 112 (2007): C04S01, doi:10.1029/2006JC004017.
    Description: This research is supported by the National Science Foundation Office of Polar Programs under cooperative agreements (OPP-0002239 and OPP-0327664) with the International Arctic Research Center, University of Alaska Fairbanks.
    Keywords: Modeling ; Arctic Ocean ; Dynamics
    Repository Name: Woods Hole Open Access Server
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2011. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 116 (2011): C00D04, doi:10.1029/2010JC006688.
    Description: A sea ice model was developed by converting the Community Ice Code (CICE) into an unstructured-grid, finite-volume version (named UG-CICE). The governing equations were discretized with flux forms over control volumes in the computational domain configured with nonoverlapped triangular meshes in the horizontal and solved using a second-order accurate finite-volume solver. Implementing UG-CICE into the Arctic Ocean finite-volume community ocean model provides a new unstructured-grid, MPI-parallelized model system to resolve the ice-ocean interaction dynamics that frequently occur over complex irregular coastal geometries and steep bottom slopes. UG-CICE was first validated for three benchmark test problems to ensure its capability of repeating the ice dynamics features found in CICE and then for sea ice simulation in the Arctic Ocean under climatologic forcing conditions. The model-data comparison results demonstrate that UG-CICE is robust enough to simulate the seasonal variability of the sea ice concentration, ice coverage, and ice drifting in the Arctic Ocean and adjacent coastal regions.
    Description: This work was supported by the NSF Arctic Program for projects with grant numbers of ARC0712903, ARC0732084, and ARC0804029. The Arctic Ocean Model Intercomparison Project (AOMIP) has provided an important guidance for model improvements and ocean studies under coordinated experiments activities. We would like to thank AOMIP PI Proshutinsky for his valuable suggestions and comments on the ice dynamics. His contribution is supported by ARC0800400 and ARC0712848. The development of FVCOM was supported by the Massachusetts Marine Fisheries Institute NOAA grants DOC/NOAA/ NA04NMF4720332 and DOC/NOAA/NA05NMF4721131; the NSF Ocean Science Program for projects of OCE‐0234545, OCE‐0227679, OCE‐ 0606928, OCE‐0712903, OCE‐0726851, and OCE‐0814505; MIT Sea Grant funds (2006‐RC‐103 and 2010‐R/RC‐116); and NOAA NERACOOS Program for the UMASS team. G. Gao was also supported by the Chinese NSF Arctic Ocean grant under contract 40476007. C. Chen’s contribution was also supported by Shanghai Ocean University International Cooperation Program (A‐2302‐10‐0003), the Program of Science and Technology Commission of Shanghai Municipality (09320503700), the Leading Academic Discipline Project of Shanghai Municipal Education Commission (J50702), and Zhi jiang Scholar and 111 project funds of the State Key Laboratory for Estuarine and Coastal Research, East China Normal University (ECNU).
    Keywords: Arctic Ocean ; Finite-volume ; Sea ice modeling ; Unstructured-grid
    Repository Name: Woods Hole Open Access Server
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  • 9
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2018. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research-Oceans, 123(11), (2018): 7983-8003. doi:10.1029/2018JC014298.
    Description: A melt pond (MP) distribution equation has been developed and incorporated into the Marginal Ice‐Zone Modeling and Assimilation System to simulate Arctic MPs and sea ice over 1979–2016. The equation differs from previous MP models and yet benefits from previous studies for MP parameterizations as well as a range of observations for model calibration. Model results show higher magnitude of MP volume per unit ice area and area fraction in most of the Canada Basin and the East Siberian Sea and lower magnitude in the central Arctic. This is consistent with Moderate Resolution Imaging Spectroradiometer observations, evaluated with Measurements of Earth Data for Environmental Analysis (MEDEA) data, and closely related to top ice melt per unit ice area. The model simulates a decrease in the total Arctic sea ice volume and area, owing to a strong increase in bottom and lateral ice melt. The sea ice decline leads to a strong decrease in the total MP volume and area. However, the Arctic‐averaged MP volume per unit ice area and area fraction show weak, statistically insignificant downward trends, which is linked to the fact that MP water drainage per unit ice area is increasing. It is also linked to the fact that MP volume and area decrease relatively faster than ice area. This suggests that overall the actual MP conditions on ice have changed little in the past decades as the ice cover is retreating in response to Arctic warming, thus consistent with the Moderate Resolution Imaging Spectroradiometer observations that show no clear trend in MP area fraction over 2000–2011.
    Description: We gratefully acknowledge the support of the NASA Cryosphere Program (grants NNX15AG68G, NNX17AD27G, and NNX14AH61G), the Office of Naval Research (N00014‐12‐1‐0112), the NSF Office of Polar Programs (PLR‐1416920, PLR‐1603259, PLR‐1602521, and ARC‐1203425), and the Department of Homeland Security (DHS, 2014‐ST‐061‐ML‐0002). The DHS grant is coordinated through the Arctic Domain Awareness Center (ADAC), a DHS Center of Excellence, which conducts maritime research and development for the Arctic region. The views and conclusions in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the DHS. MODIS‐derived MP area data are available at https://icdc.cen.uni‐hamburg.de/1/daten/cryosphere/arctic‐meltponds.html. MP area fraction statistics derived from MEDEA images are available from http://psc.apl.uw.edu/melt‐pond‐data/. Sea ice thickness and snow observations are available at http://psc.apl.washington.edu/sea_ice_cdr. CFS forcing data used to drive MIZMAS are available at https://www.ncdc.noaa.gov/data‐access/model‐data/model‐datasets/climate‐forecast‐system‐version2‐cfsv2.
    Description: 2019-04-18
    Keywords: Arctic Ocean ; sea ice ; melt ponds ; numerical modeling ; climate variability
    Repository Name: Woods Hole Open Access Server
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  • 10
    Publication Date: 2023-02-28
    Description: Author Posting. © American Geophysical Union, 2022. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Global Biogeochemical Cycles 36(8), (2022): e2022GB007320, https://doi.org/10.1029/2022GB007320.
    Description: Biogeochemical cycles in the Arctic Ocean are sensitive to the transport of materials from continental shelves into central basins by sea ice. However, it is difficult to assess the net effect of this supply mechanism due to the spatial heterogeneity of sea ice content. Manganese (Mn) is a micronutrient and tracer which integrates source fluctuations in space and time while retaining seasonal variability. The Arctic Ocean surface Mn maximum is attributed to freshwater, but studies struggle to distinguish sea ice and river contributions. Informed by observations from 2009 IPY and 2015 Canadian GEOTRACES cruises, we developed a three-dimensional dissolved Mn model within a 1/12° coupled ocean-ice model centered on the Canada Basin and the Canadian Arctic Archipelago (CAA). Simulations from 2002 to 2019 indicate that annually, 87%–93% of Mn contributed to the Canada Basin upper ocean is released by sea ice, while rivers, although locally significant, contribute only 2.2%–8.5%. Downstream, sea ice provides 34% of Mn transported from Parry Channel into Baffin Bay. While rivers are often considered the main source of Mn, our findings suggest that in the Canada Basin they are less important than sea ice. However, within the shelf-dominated CAA, both rivers and sediment resuspension are important. Climate-induced disruption of the transpolar drift may reduce the Canada Basin Mn maximum and supply downstream. Other micronutrients found in sediments, such as Fe, may be similarly affected. These results highlight the vulnerability of the biogeochemical supply mechanisms in the Arctic Ocean and the subpolar seas to climatic changes.
    Description: This work was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) Climate Change and Atmospheric Research Grant: GEOTRACES (RGPCC 433848-12) and VITALS (RGPCC 433898), an NSERC Discovery Grant (RGPIN-2016-03865) to SEA, and by the University of British Columbia through a four year fellowship to BR. Computing resources were provided by Compute Canada (RRG 2648 RAC 2019, RRG 2969 RAC 2020, and RRG 1541 RAC 2021).
    Keywords: GEOTRACES ; Arctic Ocean ; Trace elements ; Canadian Arctic Archipelago ; Ocean modeling ; Micronutrients
    Repository Name: Woods Hole Open Access Server
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