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  • Ecology  (3,330)
  • 2020-2023  (15)
  • 2020-2022  (3,315)
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  • 1
    Publication Date: 2022-10-31
    Description: Dataset: Linear growth and competitive ability of PAC, Tables 1 and 2
    Description: Interactions of scleractinian corals with Peyssonnelid Algal Crusts were recorded at two sites and depth in Great Lameshur Bay, St. John, USVI. Since PAC in St. John is more abundant in shallow (3–5 m) versus deep (5–9 m) water, surveys were designed to contrast PAC between depths (3 and 9 meters). The first categorization of coral-PAC interactions at the Cabritte Horn and Tektite sites was August 2019, and the re-categorization was January 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/836304
    Description: NSF Division of Environmental Biology (NSF DEB) DEB-1350146, NSF Division of Ocean Sciences (NSF OCE) OCE-1756678
    Keywords: Macroalgae ; Scleractinia ; Ecology ; Competition
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Coral reefs in the US Virgin Islands
    Description: These data describe the results of surveys of coral reefs at 10 m depth at 12 sites around St. Thomas and St. John, US Virgin Islands from 2011-2021 (up to 4 surveys). These results will be published in Edmunds & Smith (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/872285
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019992
    Description: 2022-04-30
    Keywords: Coral reef ; Ecology ; Time series ; US Virgin Islands
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Linear growth and competitive ability of PAC, Figure 3
    Description: Growth rate of Peyssonnelid Algal Crusts was measured using terracotta settlement tiles at five sites across Lameshur Bay, St. John, USVI. Unglazed terracotta tiles (15 × 15 × 1 cm) originally were deployed to measure coral recruitment, and photographs of the tiles were re-purposed to provide an additional measure of the planar growth of PAC. Years for which photographs of settlement tiles were available to be analyzed for growth rate include 2009, 2011-2012, and 2014-2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/836164
    Description: NSF Division of Environmental Biology (NSF DEB) DEB-1350146, NSF Division of Ocean Sciences (NSF OCE) OCE-1756678
    Keywords: Macroalgae ; Scleractinia ; Ecology ; Competition
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Linear growth and competitive ability of PAC, Figure 2a
    Description: Percent cover of Peyssonnelid Algal Crusts was measured at two sites and depths in Great Lameshur Bay, St. John, USVI in July and August 2019. These sites (Cabritte Horn and Tektite) were selected because the abundance of PAC has been measured in these locations since 2015. Peyssonnelid Algal Crust was surveyed in quadrats placed at random positions along transects positioned haphazardly along the 3 meter and 9 meter isobaths. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/836071
    Description: NSF Division of Environmental Biology (NSF DEB) DEB-1350146, NSF Division of Ocean Sciences (NSF OCE) OCE-1756678
    Keywords: Macroalgae ; Scleractinia ; Ecology ; Competition
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Linear growth and competitive ability of PAC, Figure 2b
    Description: The growth rate of Peyssonnelid Algal Crusts was measured at two sites (Cabritte Horn and Tektite) and two depths (3 and 9 meters) in Great Lameshur Bay, St. John, USVI. The growth rate of the PAC margin (micrometer/day) was calculated using the number of days between when the tag was initially deployed to mark the margin of PAC in August 2019 to when the margin was re-measured again in January 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/836097
    Description: NSF Division of Environmental Biology (NSF DEB) DEB-1350146, NSF Division of Ocean Sciences (NSF OCE) OCE-1756381
    Keywords: Macroalgae ; Scleractinia ; Ecology ; Competition
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
    Publication Date: 2022-10-26
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Marlow, J., Anderson, R., Reysenbach, A.-L., Seewald, J., Shank, T., Teske, A., Wanless, V., & Soule, S. New opportunities and untapped scientific potential in the abyssal ocean. Frontiers in Marine Science, 8, (2022): 798943, https://doi.org/10.3389./fmars.2021.798943
    Description: The abyssal ocean covers more than half of the Earth’s surface, yet remains understudied and underappreciated. In this Perspectives article, we mark the occasion of the Deep Submergence Vehicle Alvin’s increased depth range (from 4500 to 6500 m) to highlight the scientific potential of the abyssal seafloor. From a geologic perspective, ultra-slow spreading mid-ocean ridges, Petit Spot volcanism, transform faults, and subduction zones put the full life cycle of oceanic crust on display in the abyss, revealing constructive and destructive forces over wide ranges in time and space. Geochemically, the abyssal pressure regime influences the solubility of constituents such as silica and carbonate, and extremely high-temperature fluid-rock reactions in the shallow subsurface lead to distinctive and potentially unique geochemical profiles. Microbial residents range from low-abundance, low-energy communities on the abyssal plains to fast growing thermophiles at hydrothermal vents. Given its spatial extent and position as an intermediate zone between coastal and deep hadal settings, the abyss represents a lynchpin in global-scale processes such as nutrient and energy flux, population structure, and biogeographic diversity. Taken together, the abyssal ocean contributes critical ecosystem services while facing acute and diffuse anthropogenic threats from deep-sea mining, pollution, and climate change.
    Description: We would like to thank the National Science Foundation for their support through grants NSF 2009117 and 2129431 to SAS.
    Keywords: Abyssal ocean ; Geochemistry ; Microbiology ; Geology ; Ecology
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
    Publication Date: 2022-10-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Weber, L., Armenteros, M., Soule, M. K., Longnecker, K., Kujawinski, E. B., & Apprill, A. Extracellular reef metabolites across the protected Jardines de la Reina, Cuba Reef System. Frontiers in Marine Science, 7, (2020): 582161, https://doi.org/10.3389/fmars.2020.582161.
    Description: Coral reef ecosystems are incredibly diverse marine biomes that rely on nutrient cycling by microorganisms to sustain high productivity in generally oligotrophic regions of the ocean. Understanding the composition of extracellular reef metabolites in seawater, the small organic molecules that serve as the currency for microorganisms, may provide insight into benthic-pelagic coupling as well as the complexity of nutrient cycling in coral reef ecosystems. Jardines de la Reina (JR), Cuba is an ideal environment to examine extracellular metabolites across protected and high-quality reefs. Here, we used liquid chromatography mass spectrometry (LC-MS) to quantify specific known metabolites of interest (targeted metabolomics approach) and to survey trends in metabolite feature composition (untargeted metabolomics approach) from surface and reef depth (6 – 14 m) seawater overlying nine forereef sites in JR. We found that untargeted metabolite feature composition was surprisingly similar between reef depth and surface seawater, corresponding with other biogeochemical and physicochemical measurements and suggesting that environmental conditions were largely homogenous across forereefs within JR. Additionally, we quantified 32 of 53 detected metabolites using the targeted approach, including amino acids, nucleosides, vitamins, and other metabolic intermediates. Two of the quantified metabolites, riboflavin and xanthosine, displayed interesting trends by depth. Riboflavin concentrations were higher in reef depth compared to surface seawater, suggesting that riboflavin may be produced by reef organisms at depth and degraded in the surface through photochemical oxidation. Xanthosine concentrations were significantly higher in surface reef seawater. 5′-methylthioadenosine (MTA) concentrations increased significantly within the central region of the archipelago, displaying biogeographic patterns that warrant further investigation. Here we lay the groundwork for future investigations of variations in metabolite composition across reefs, sources and sinks of reef metabolites, and changes in metabolites over environmental, temporal, and reef health gradients.
    Description: This work was supported by the Dalio Foundation (now “OceanX”) and the National Science Foundation (OCE-1736288) (award to Amy Apprill). The mass spectrometry samples were analyzed at the WHOI FT-MS Users’ Facility with instrumentation funded by the National Science Foundation (grant OCE-1058448 to EK and MK) and the Simons Foundation (Award ID #509042, EK). Lastly, a portion of the publication fees was supported by the Massachusetts Institute of Technology (MIT) Open Access Article Publication Subvention fund from MIT Libraries.
    Keywords: Metabolomics ; Coral reefs ; Microorganisms ; Ecology ; DOM cycling
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 8
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    Bay of Bengal Large Marine Ecosystem Project (BOBLME) | Phuket, Thailand
    In:  http://aquaticcommons.org/id/eprint/19148 | 17435 | 2016-01-08 11:53:29 | 19148 | Bay of Bengal Large Marine Ecosystem Project (BOBLME)
    Publication Date: 2022-08-02
    Description: The goals of the workshop were to: present verified data, draft a report containing visual descriptors and information on the structure and function of BOBLME ecosystems; identify information gaps and transboundary issues and develop capacity of national scientists on data integration techniques.
    Description: FAO
    Description: Bay of Bengal Large Marine Ecosystem Project (BOBLME)
    Description: The Bay of Bengal Large Marine Ecosystem Project (BOBLME) was supported by the Global Environment Facility, the Food and Agriculture Organisation of the United Nations, the governments of Norway and Sweden. The project was executed by the Food and Agriculture Organisation of the United Nations.
    Keywords: Ecology ; Information Management ; Bay of Bengal ; ecosystems ; data integration techniques ; transboundary issues
    Repository Name: AquaDocs
    Type: monograph
    Format: application/pdf
    Format: application/pdf
    Format: 70
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  • 9
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    Bay of Bengal Large Marine Ecosystem Project (BOBLME) | Phuket, Thailand
    In:  http://aquaticcommons.org/id/eprint/19203 | 17435 | 2016-01-08 11:19:47 | 19203 | Bay of Bengal Large Marine Ecosystem Project (BOBLME)
    Publication Date: 2022-08-02
    Description: The workshop's aim was to consolidate and validate the information collected by the CSIRO project during the first regional ecosystem characterisation workshop held in February. This information includes; descriptions of broad scale biophysical drivers of ecological systems in the region; and descriptive narratives and illustrations of each ecosystem sub-region in the Bay of Bengal.
    Description: FAO
    Description: Bay of Bengal Large Marine Ecosystem Project (BOBLME)
    Description: The Bay of Bengal Large Marine Ecosystem Project (BOBLME) was supported by the Global Environment Facility, the Food and Agriculture Organisation of the United Nations, the governments of Norway and Sweden. The project was executed by the Food and Agriculture Organisation of the United Nations.
    Keywords: Ecology ; Information Management ; Bay of Bengal ; ecosystem characterisation ; biophysical drivers ; CSIRO
    Repository Name: AquaDocs
    Type: monograph
    Format: application/pdf
    Format: application/pdf
    Format: 16
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  • 10
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    Bay of Bengal Large Marine Ecosystem Project (BOBLME) | Phuket, Thailand
    In:  http://aquaticcommons.org/id/eprint/19204 | 17435 | 2016-01-08 11:45:26 | 19204 | Bay of Bengal Large Marine Ecosystem Project (BOBLME)
    Publication Date: 2022-08-02
    Description: The workshop's objective was to provide information to improve a regional Ecopath with Ecoism (EwE) model.The workshop described the basis and principles underlying the software, encompassing the basics of Ecopath to Ecospace, economics and management strategy evaluation.
    Description: FAO
    Description: Bay of Bengal Large Marine Ecosystem Project (BOBLME)
    Description: The Bay of Bengal Large Marine Ecosystem Project (BOBLME) was supported by the Global Environment Facility, the Food and Agriculture Organisation of the United Nations, the governments of Norway and Sweden. The project was executed by the Food and Agriculture Organisation of the United Nations.
    Keywords: Ecology ; Information Management ; Bay of Bengal ; Ecopath with Ecoism (EwE) ; software ; economics
    Repository Name: AquaDocs
    Type: monograph
    Format: application/pdf
    Format: application/pdf
    Format: 39
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