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  • Atlantic_Areas_Cetaceans_Humans; Atlantic Ocean; Bermuda; Binary Object; Binary Object (File Size); Binary Object (Media Type); cetaceans; Conservation; Family; File content; Horizontal datum; iAtlantic; Infraorder; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Obtained from Geographic Information System (GIS); Particularly Sensitive Sea Area; Raster cell size; Reference in WoRMS; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Vertical datum  (1)
  • Benthos  (1)
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  • 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 Elementa Science of the Anthropocene 5 (2017): 4, doi:10.1525/elementa.203.
    Description: The deep sea encompasses the largest ecosystems on Earth. Although poorly known, deep seafloor ecosystems provide services that are vitally important to the entire ocean and biosphere. Rising atmospheric greenhouse gases are bringing about significant changes in the environmental properties of the ocean realm in terms of water column oxygenation, temperature, pH and food supply, with concomitant impacts on deep-sea ecosystems. Projections suggest that abyssal (3000–6000 m) ocean temperatures could increase by 1°C over the next 84 years, while abyssal seafloor habitats under areas of deep-water formation may experience reductions in water column oxygen concentrations by as much as 0.03 mL L–1 by 2100. Bathyal depths (200–3000 m) worldwide will undergo the most significant reductions in pH in all oceans by the year 2100 (0.29 to 0.37 pH units). O2 concentrations will also decline in the bathyal NE Pacific and Southern Oceans, with losses up to 3.7% or more, especially at intermediate depths. Another important environmental parameter, the flux of particulate organic matter to the seafloor, is likely to decline significantly in most oceans, most notably in the abyssal and bathyal Indian Ocean where it is predicted to decrease by 40–55% by the end of the century. Unfortunately, how these major changes will affect deep-seafloor ecosystems is, in some cases, very poorly understood. In this paper, we provide a detailed overview of the impacts of these changing environmental parameters on deep-seafloor ecosystems that will most likely be seen by 2100 in continental margin, abyssal and polar settings. We also consider how these changes may combine with other anthropogenic stressors (e.g., fishing, mineral mining, oil and gas extraction) to further impact deep-seafloor ecosystems and discuss the possible societal implications. 
    Description: A.K. Sweetman D.O.B. Jones and R. Danovaro acknowledge funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement 603418 (MIDAS), and the European Union Horizon 2020 research and innovation programme under grant agreement 689518 (MERCES). L.-A. Henry and J.M. Roberts acknowledge funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 678760 (ATLAS).
    Keywords: Deep-sea ; Climate change ; Ecosystem functioning ; Biodiversity ; Benthos
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-04-20
    Description: These data aim to evaluate the spatial overlap between human activities and the key areas utilised by cetaceans within Bermuda's Exclusive Economic Zone (EEZ). Raster and vector layers were collated through online sources and engaging with those working on Bermuda's Marine Spatial Plan. Human use layers include the key regions for shipping, fishing, and tourism operations. Novel shapefiles of cetacean distribution were generated using the participatory Geographic Information System (GIS) platform 'SeaSketch'. Eight experts from three industries (research, whale-watching, and charter boating) contributed to the dataset and created layers based on 〉20 years knowledge of where Bermuda's cetaceans are distributed. Layers of four cetacean species were generated: humpback whales (Megaptera novaeangliae), bottlenose dolphins (Tursiops truncatus), Cuvier's beaked whales (Ziphius cavirostrus) and sperm whales (Physeter macrocephalus). For the humpback whales, four merged shapefiles exist demonstrating the key areas for various behaviours and/or habitats that have been observed. These include shallow areas between reefs (known as sand holes) where humpbacks are often observed, and areas where they have been observed singing, resting, and engaging in active behaviours. A total overlap of all gathered cetacean layers exists in a raster format to highlight the most diverse regions in Bermuda. Free online data sources of cetacean migrations sightings are also included, which date between 1785-2022. Online data from the World Bank shows the global densities of Automatic Identification System (AIS) signals from various vessels between Jan-2015 and Feb-2021. A proximity analysis was done on this raster within the cetacean layers to show whether shipping concentrations are high within key cetacean areas and thus cause a significant threat. This information was gathered to analyse whether the International Maritime Organization (IMO) could implement a Particularly Sensitive Sea Area (PSSA) to regulate vessel traffic. The dataset was created using QGIS version 3.22.8 Białowieża under Work Package 3 of the EU H2020 project 'iAtlantic'.
    Keywords: Atlantic_Areas_Cetaceans_Humans; Atlantic Ocean; Bermuda; Binary Object; Binary Object (File Size); Binary Object (Media Type); cetaceans; Conservation; Family; File content; Horizontal datum; iAtlantic; Infraorder; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Obtained from Geographic Information System (GIS); Particularly Sensitive Sea Area; Raster cell size; Reference in WoRMS; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 653 data points
    Location Call Number Limitation Availability
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