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  • Ice algae  (1)
  • ensemble model  (1)
  • 1
    Publication Date: 2022-05-25
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of Geophysical Research: Biogeosciences 122 (2017): 1529–1548, doi:10.1002/2016JG003668.
    Description: During the Norwegian young sea ICE expedition (N-ICE2015) from January to June 2015 the pack ice in the Arctic Ocean north of Svalbard was studied during four drifts between 83° and 80°N. This pack ice consisted of a mix of second year, first year, and young ice. The physical properties and ice algal community composition was investigated in the three different ice types during the winter-spring-summer transition. Our results indicate that algae remaining in sea ice that survived the summer melt season are subsequently trapped in the upper layers of the ice column during winter and may function as an algal seed repository. Once the connectivity in the entire ice column is established, as a result of temperature-driven increase in ice porosity during spring, algae in the upper parts of the ice are able to migrate toward the bottom and initiate the ice algal spring bloom. Furthermore, this algal repository might seed the bloom in younger ice formed in adjacent leads. This mechanism was studied in detail for the dominant ice diatom Nitzschia frigida. The proposed seeding mechanism may be compromised due to the disappearance of older ice in the anticipated regime shift toward a seasonally ice-free Arctic Ocean.
    Description: Norwegian Research Council Grant Number: 244646; Norwegian Ministry of Climate and Environment Grant Number: N-ICE; Norwegian Research Council Grant Number: 221961; Norwegian Ministry of Foreign Affairs Grant Number: ID Arctic; Norwegian Ministry of Foreign Affairs and Ministry of Climate and Environment, Norway; Polish-Norwegian Research Program Grant Number: Pol-Nor/197511/40/2013; Research Council of Norway project STASIS Grant Number: 221961; Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Canada Foundation for Innovation Investment in Science Fund; Research Council of Norway project Boom or Bust Grant Number: 244646; Centre of Ice, Climate and Ecosystems
    Keywords: Ice algae ; Arctic ; Sea ice ; N-ICE ; Multiyear ice ; Seeding
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 2
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Goldsmit, J., Schlegel, R. W., Filbee-Dexter, K., MacGregor, K. A., Johnson, L. E., Mundy, C. J., Savoie, A. M., McKindsey, C. W., Howland, K. L., & Archambault, P. Kelp in the Eastern Canadian Arctic: current and future predictions of habitat suitability and cover. Frontiers in Marine Science, 18, (2021): 742209. https://doi.org/10.3389/fmars.2021.742209
    Description: Climate change is transforming marine ecosystems through the expansion and contraction of species’ ranges. Sea ice loss and warming temperatures are expected to expand habitat availability for macroalgae along long stretches of Arctic coastlines. To better understand the current distribution of kelp forests in the Eastern Canadian Arctic, kelps were sampled along the coasts for species identifications and percent cover. The sampling effort was supplemented with occurrence records from global biodiversity databases, searches in the literature, and museum records. Environmental information and occurrence records were used to develop ensemble models for predicting habitat suitability and a Random Forest model to predict kelp cover for the dominant kelp species in the region – Agarum clathratum, Alaria esculenta, and Laminariaceae species (Laminaria solidungula and Saccharina latissima). Ice thickness, sea temperature and salinity explained the highest percentage of kelp distribution. Both modeling approaches showed that the current extent of arctic kelps is potentially much greater than the available records suggest. These modeling approaches were projected into the future using predicted environmental data for 2050 and 2100 based on the most extreme emission scenario (RCP 8.5). The models agreed that predicted distribution of kelp in the Eastern Canadian Arctic is likely to expand to more northern locations under future emissions scenarios, with the exception of the endemic arctic kelp L. solidungula, which is more likely to lose a significant proportion of suitable habitat. However, there were differences among species regarding predicted cover for both current and future projections. Notwithstanding model-specific variation, it is evident that kelps are widespread throughout the area and likely contribute significantly to the functioning of current Arctic ecosystems. Our results emphasize the importance of kelp in Arctic ecosystems and the underestimation of their potential distribution there.
    Description: This work was supported by ArcticNet (P101 ArcticKelp), Fisheries and Oceans Canada Arctic Climate Change Adaptation Strategy, Arctic Science and Aquatic Invasive Species Monitoring and Research Funds, the Natural Sciences and Engineering Research Council (NSERC), NRCan Polar Continental Shelf Program Support, Canadian Aquatic Invasive Species Network (CAISN), the Nunavut Marine Region Wildlife Management Board (NWMB), Quebec-Ocean, and the Ocean Frontier Institute through an award from the Canada First Research Excellence Fund, the Marine Environmental Observation, Prediction and Response Network of Centres of Excellence’s (MEOPAR-NCE) Southampton Island Marine Ecosystem Project, and the Belmont Forum–BiodivERsA’s De-icing of Arctic Coasts: critical or new opportunities for marine biodiversity and Ecosystem Services (ACCES). KF-D was supported by the Australian Research Council (DE190100692).
    Keywords: Laminariales ; polar ; ensemble model ; species distribution model (SDM) ; climate change ; shallow subtidal benthic
    Repository Name: Woods Hole Open Access Server
    Type: Article
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