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  • ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Climate change; cold-water corals; Deep-sea; File format; File name; File size; fisheries; fishes; habitat suitability modelling; octocorals; scleractinians; species distribution models; Uniform resource locator/link to file; vulnerable marine ecosystems  (1)
  • Abundance; Bermuda_humpback_whale_demographic_survey; Bermuda, Atlantic Ocean; cetacean; humpback whale; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Megaptera novaeangliae; Model; Time series  (1)
  • Biodiversity  (1)
  • Climate change  (1)
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Keywords
Years
  • 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: 2024-03-11
    Description: We used environmental niche modelling along with the best available species occurrence data and environmental parameters to model habitat suitability for key cold-water coral and commercially important deep-sea fish species under present-day (1951-2000) environmental conditions and to forecast changes under severe, high emissions future (2081-2100) climate projections (RCP8.5 scenario) for the North Atlantic Ocean (from 18°N to 76°N and 36°E to 98°W). The VME indicator taxa included Lophelia pertusa , Madrepora oculata, Desmophyllum dianthus, Acanela arbuscula, Acanthogorgia armata, and Paragorgia arborea. The six deep-sea fish species selected were: Coryphaenoides rupestris, Gadus morhua, blackbelly Helicolenus dactylopterus, Hippoglossoides platessoides, Reinhardtius hippoglossoides, and Sebastes mentella. We used an ensemble modelling approach employing three widely-used modelling methods: the Maxent maximum entropy model, Generalized Additive Models, and Random Forest. This dataset contains: 1) Predicted habitat suitability index under present-day (1951-2000) and future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean, using an ensemble modelling approach.  2) Climate-induced changes in the suitable habitat of twelve deep-sea species in the North Atlantic Ocean, as determined by binary maps built with an ensemble modelling approach and the 10-percentile training presence logistic (10th percentile) threshold. 3) Forecasted present-day suitable habitat loss (value=-1), gain (value=1), and acting as climate refugia (value=2) areas under future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean. Areas were identified from binary maps built with an ensemble modelling approach and two thresholds: 10-percentile training presence logistic threshold (10th percentile) and maximum sensitivity and specificity (MSS). Refugia areas are those areas predicted as suitable both under present-day and future conditions. All predictions were projected with the Albers equal-area conical projection centred in the middle of the study area. The grid cell resolution is of 3x3 km.
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Climate change; cold-water corals; Deep-sea; File format; File name; File size; fisheries; fishes; habitat suitability modelling; octocorals; scleractinians; species distribution models; Uniform resource locator/link to file; vulnerable marine ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 384 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-04-20
    Description: Modelled demographic parameters of North Atlantic humpback whales (Megaptera novaeangliae) visiting Bermuda are provided for every year from 2011 to 2010. The data set was constructed to determine abundance and abundance trends of humpback whales visiting Bermuda, a migratory stopover. Photographs of the ventral side of humpback whale tail flukes were taken during dedicated vessel-based surveys between December and May each year between 2010 and 2020, and were daily whenever possible (weather-permitting). Surveys followed a haphazard regime to maximize encounters with whales and focused spatially on the southwestern Bermuda Platform and the Challenger Bank seamount*. Surveys were conducted in closing mode; whales were approached and photographed on detection, and a focal follow was conducted at each encounter. Images of suitable quality were used for individual photo-identification via scarring patterns and coloration (Calambokidis et al., 2001). The resulting catalogue was used to construct annual sighting histories for each identifiable animal. Annual demographic parameters, including abundance, were reconstructed from sighting histories using capture-recapture (CR) methods. A Cormack-Jolly-Seber (CJS) model (Lebreton et al., 1992) was fit through maximum likelihood estimation to estimate annual apparent survival (Φ) and detection probability (p). The final model specification was informed by goodness-of-fit tests and AICc. To account for variable annual effort, p was linked to modified annual survey effort (based on number of survey days) via logistic regression (resulting in a different p value for each year). To account for transient animals that only visit the study area once, Φ was stratified into survival following the first sighting (Φ0) and survival following subsequent sightings (Φ1+). From the output of this CJS model, the following parameters were derived: annual rate of transience (T), number of transient animals (NT), number of non-transient animals (NR) and total abundance (Ntot). Ntot was calculated using a modified Horvitz-Thompson estimator (Horvitz and Thompson, 1952). T was calculated based on survival estimates and the observed number of newly sighted animals and re-sighted animals each year. NT and NR were calculated using T and Ntot. Confidence intervals (95%) for all parameters were derived using a stratified bootstrap approach (1000 replicates).
    Keywords: Abundance; Bermuda_humpback_whale_demographic_survey; Bermuda, Atlantic Ocean; cetacean; humpback whale; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Megaptera novaeangliae; Model; Time series
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 18.4 kBytes
    Location Call Number Limitation Availability
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