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  • 11
    Publication Date: 2022-10-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Levin, L. A., Bett, B. J., Gates, A. R., Heimbach, P., Howe, B. M., Janssen, F., McCurdy, A., Ruhl, H. A., Snelgrove, P., Stocks, K., I., Bailey, D., Baumann-Pickering, S., Beaverson, C., Benfield, M. C., Booth, D. J., Carreiro-Silva, M., Colaco, A., Eble, M. C., Fowler, A. M., Gjerde, K. M., Jones, D. O. B., Katsumata, K., Kelley, D., Le Bris, N., Leonardi, A. P., Lejzerowicz, F., Macreadie, P., I., McLean, D., Meitz, F., Morato, T., Netburn, A., Pawlowski, J., Smith, C. R., Sun, S., Uchida, H., Vardaro, M. F., Venkatesan, R., & Weller, R. A. Global observing needs in the deep ocean. Frontiers in Marine Science, 6, (2019):241, doi: 10.3389/fmars.2019.00241.
    Description: The deep ocean below 200 m water depth is the least observed, but largest habitat on our planet by volume and area. Over 150 years of exploration has revealed that this dynamic system provides critical climate regulation, houses a wealth of energy, mineral, and biological resources, and represents a vast repository of biological diversity. A long history of deep-ocean exploration and observation led to the initial concept for the Deep-Ocean Observing Strategy (DOOS), under the auspices of the Global Ocean Observing System (GOOS). Here we discuss the scientific need for globally integrated deep-ocean observing, its status, and the key scientific questions and societal mandates driving observing requirements over the next decade. We consider the Essential Ocean Variables (EOVs) needed to address deep-ocean challenges within the physical, biogeochemical, and biological/ecosystem sciences according to the Framework for Ocean Observing (FOO), and map these onto scientific questions. Opportunities for new and expanded synergies among deep-ocean stakeholders are discussed, including academic-industry partnerships with the oil and gas, mining, cable and fishing industries, the ocean exploration and mapping community, and biodiversity conservation initiatives. Future deep-ocean observing will benefit from the greater integration across traditional disciplines and sectors, achieved through demonstration projects and facilitated reuse and repurposing of existing deep-sea data efforts. We highlight examples of existing and emerging deep-sea methods and technologies, noting key challenges associated with data volume, preservation, standardization, and accessibility. Emerging technologies relevant to deep-ocean sustainability and the blue economy include novel genomics approaches, imaging technologies, and ultra-deep hydrographic measurements. Capacity building will be necessary to integrate capabilities into programs and projects at a global scale. Progress can be facilitated by Open Science and Findable, Accessible, Interoperable, Reusable (FAIR) data principles and converge on agreed to data standards, practices, vocabularies, and registries. We envision expansion of the deep-ocean observing community to embrace the participation of academia, industry, NGOs, national governments, international governmental organizations, and the public at large in order to unlock critical knowledge contained in the deep ocean over coming decades, and to realize the mutual benefits of thoughtful deep-ocean observing for all elements of a sustainable ocean.
    Description: Preparation of this manuscript was supported by NNX16AJ87A (NASA) Consortium for Ocean Leadership, Sub-Award No. SA16-33. AC was supported by FCT-Investigador contract (IF/00029/2014/CP1230/CT0002). LL was supported by a NASA subaward from the Consortium for Ocean Leadership. AG and HR were supported by Horizon 2020, EU Project “EMSO Link” grant ID 731036. AG, BB, DJ, and HR contributions were supported by the UK Natural Environment Research Council Climate Linked Atlantic Section Science project (NE/R015953/1). JP was funded by the Swiss Network for International Studies, and the Swiss National Science Foundation (grant 31003A_179125). TM was supported by Program Investigador FCT (IF/01194/2013), IFCT Exploratory Project (IF/01194/2013/CP1199/CT0002), H2020 Atlas project (GA 678760), and the H2020 MERCES project (GA 689518). This is PMEL contribution number 4965.
    Keywords: Deep sea ; Ocean observation ; Blue economy ; Essential ocean variables ; Biodiversity ; Ocean sensors
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 12
    Publication Date: 2022-05-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Lebrato, M., Garbe-Schönberg, D., Müller, M. N., Blanco-Ameijeiras, S., Feely, R. A., Lorenzoni, L., Molinero, J. C., Bremer, K., Jones, D. O. B., Iglesias-Rodriguez, D., Greeley, D., Lamare, M. D., Paulmier, A., Graco, M., Cartes, J., Barcelos E Ramos, J., de Lara, A., Sanchez-Leal, R., Jimenez, P., Paparazzo, F. E., Hartman, S. E., Westernströer, U., Küter, M., Benavides, R., da Silva, A. F., Bell, S., Payne, C., Olafsdottir, S., Robinson, K., Jantunen, L. M., Korablev, A., Webster, R. J., Jones, E. M., Gilg, O., Bailly du Bois, P., Beldowski, J., Ashjian, C., Yahia, N. D., Twining, B., Chen, X. G., Tseng, L. C., Hwang, J. S., Dahms, H. U., & Oschlies, A. Global variability in seawater Mg:Ca and Sr:Ca ratios in the modern ocean. Proceedings of the National Academy of Sciences of the United States of America, 117(36), (2020): 22281-22292, doi:10.1073/pnas.1918943117.
    Description: Seawater Mg:Ca and Sr:Ca ratios are biogeochemical parameters reflecting the Earth–ocean–atmosphere dynamic exchange of elements. The ratios’ dependence on the environment and organisms' biology facilitates their application in marine sciences. Here, we present a measured single-laboratory dataset, combined with previous data, to test the assumption of limited seawater Mg:Ca and Sr:Ca variability across marine environments globally. High variability was found in open-ocean upwelling and polar regions, shelves/neritic and river-influenced areas, where seawater Mg:Ca and Sr:Ca ratios range from ∼4.40 to 6.40 mmol:mol and ∼6.95 to 9.80 mmol:mol, respectively. Open-ocean seawater Mg:Ca is semiconservative (∼4.90 to 5.30 mol:mol), while Sr:Ca is more variable and nonconservative (∼7.70 to 8.80 mmol:mol); both ratios are nonconservative in coastal seas. Further, the Ca, Mg, and Sr elemental fluxes are connected to large total alkalinity deviations from International Association for the Physical Sciences of the Oceans (IAPSO) standard values. Because there is significant modern seawater Mg:Ca and Sr:Ca ratios variability across marine environments we cannot absolutely assume that fossil archives using taxa-specific proxies reflect true global seawater chemistry but rather taxa- and process-specific ecosystem variations, reflecting regional conditions. This variability could reconcile secular seawater Mg:Ca and Sr:Ca ratio reconstructions using different taxa and techniques by assuming an error of 1 to 1.50 mol:mol, and 1 to 1.90 mmol:mol, respectively. The modern ratios’ variability is similar to the reconstructed rise over 20 Ma (Neogene Period), nurturing the question of seminonconservative behavior of Ca, Mg, and Sr over modern Earth geological history with an overlooked environmental effect.
    Description: We thank the researchers, staff, students, and volunteers in all the expeditions around the world for their contributions. One anonymous referee and Bernhard Peucker-Ehenbrink, Woods Hole Oceanographic Institution, contributed significantly to the final version of the manuscript. This study was developed under a grant from the Federal Ministry of Education and Research to D.G.-S. under contract 03F0722A, by the Kiel Cluster of Excellence “The Future Ocean” (D1067/87) to A.O. and M.L., and by the “European project on Ocean Acidification” (European Community’s Seventh Framework Programme FP7/2007-2013, grant agreement 211384) to A.O. and M.L. Additional funding was provided from project DOSMARES CTM2010-21810-C03-02, by the UK Natural Environment Research Council, to the National Oceanography Centre. This is Pacific Marine Environmental Laboratory contribution number 5046.
    Keywords: global ; seawater ; Mg:Ca ; Sr:Ca ; biogeochemistry
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 13
    Publication Date: 2023-03-27
    Description: These data list the fish counts and densities observed using time-lapse cameras at the two DELOS observatory platforms, located at 1400 m water depth on the Angolan continental margin between February 2009 and July 2016. Timelapse photographs were captured from both the "Near Field" (NF; 7.90°S, 12.14°E) and "Far Field" (FF; 7.95°S, 12.28°E) DELOS observatories using a Kongsberg OE14-208 5.1 megapixel digital camera and a Kongsberg OE11-242 flash. Where appropriate: Fish counts are listed as no. individuals observed per photograph. Fish densities are listed as no. individuals observed per photograph, per calendar month, and multiplied by 1000. The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed. Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
    Keywords: benthic observatory; Deep-ocean Environmental Long-term Observatory System; Deep sea; DELOS; Time series
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 14
    Publication Date: 2023-11-08
    Description: The data are counts of megafaunal specimens in seabed photographs captured with a Teledyne Gavia autonomous underwater vehicle deployed from the RRS James Cook in May 2019 at a site in UK sector of the Central North Sea (Connelly, 2019), as part of the Strategies for Environmental Monitoring of Marine Carbon Capture and Storage (STEMM-CCS) project. The seabed photographs were captured using a GRAS-14S5M-C camera with a Tamron TAM 23FM08-L lens mounted to the Gavia autonomous underwater vehicle. The camera captured photographs at a temporal frequency of 1.875 frames per second, a resolution of 1280 x 960 pixels, and at a target altitude of 2 m above the seafloor. Overlapping photos were removed. Megafaunal specimens (〉1 cm) in the non-overlapping images were detected using the MAIA machine learning algorithm in BIIGLE. The potential specimens detected using this method were reviewed to remove false positives and classified into morphotypes manually. Counts by morphotype, latitude and longitude (in degrees), camera altitude (m above seafloor) and seabed area (m2) are provided for each photo. The following additional unchecked raw data are also provided: date, time, AUV mission number, and AUV heading, pitch, and roll. Acknowledgements We thank the crew and operators of the RRS James Cook and the Gavia autonomous underwater vehicle. The project was funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 654462.
    Keywords: Actiniaria indeterminata; Aphrodita aculeata; Area; Asterias rubens; Astropecten irregularis; Autonomous underwater vehicle (Gavia); AUV; Bolocera tuediae; Cancer pagurus; Counting; DATE/TIME; Device type; Dive number; Eledone cirrhosa; Event label; fish; Fish; Heading; HEIGHT above ground; Hippasteria phrygiana; Image number/name; James Cook; JC180; JC180_AUV-5; JC180_AUV-7; JC180_AUV-8; LATITUDE; LONGITUDE; megafauna; Metridium senile; Myxine glutinosa; Nephrops; Nephrops norvegicus; North Sea; Pagurus sp.; Pennatula phosphorea; Pitch angle; Porifera; Resolution; Roll angle; seabed photograph; Spatangoida; STEMM-CCS; Strategies for Environmental Monitoring of Marine Carbon Capture and Storage; Unknown
    Type: Dataset
    Format: text/tab-separated-values, 80342 data points
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  • 15
    Publication Date: 2023-11-08
    Keywords: benthic observatory; Date; Date/Time local; Day of the year; Days, cumulated; Deep-ocean Environmental Long-term Observatory System; Deep sea; DELOS; DELOS_B; Fish; Image number/name; Monitoring station; MONS; South Atlantic Ocean; Time series
    Type: Dataset
    Format: text/tab-separated-values, 35514 data points
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  • 16
    Publication Date: 2023-11-03
    Keywords: Area/locality; benthic observatory; Bythitidae; DATE/TIME; Deep-ocean Environmental Long-term Observatory System; Deep sea; DELOS; DELOS_A; DELOS_B; Event label; Fish indeterminata; Halosauridae; Ipnopidae; Liparidae; Macrouridae; Monitoring station; MONS; Month; Moridae; Ophidiidae; Rajidae; Sample ID; South Atlantic Ocean; Squalidae; Synaphobranchidae; Time series; Type; Year of imagery; Zoarcidae
    Type: Dataset
    Format: text/tab-separated-values, 3080 data points
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  • 17
    Publication Date: 2023-11-08
    Keywords: benthic observatory; Date; Date/Time local; Day of the year; Days, cumulated; Deep-ocean Environmental Long-term Observatory System; Deep sea; DELOS; DELOS_A; Fish; Image number/name; Monitoring station; MONS; South Atlantic Ocean; Time series
    Type: Dataset
    Format: text/tab-separated-values, 40698 data points
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  • 18
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    PANGAEA
    In:  Supplement to: Taboada, Sergi; Riesgo, Ana; Wiklund, Helena; Paterson, Gordon L J; Koutsouveli, Vasiliki; Santodomingo, Nadia; Dale, Andrew C; Smith, Craig R; Jones, Daniel O B; Dahlgren, Thomas G; Glover, Adrian G (2018): Implications of population connectivity studies for the design of marine protected areas in the deep sea: An example of a demosponge from the Clarion-Clipperton Zone. Molecular Ecology, 27(23), 4657-4679, https://doi.org/10.1111/mec.14888
    Publication Date: 2024-05-18
    Description: The excel file has two spread-sheets: (i) "Microsatellites-4Areas" including the information of the 11 microsatellites used in the paper for the four different areas we investigated; (ii) "Microsatellites-30Populations" including the information of the 11 microsatellites used in the paper for the 30 different populations we investigated. In the two spread-sheets we include the following columns: "Number of individual" from 1 to 168; "Area" with the names of the areas or populations for every individual; "Sample Code" with the name of the sample used in the paper; "1Ple, 3Ple, 11Ple, 13Ple, 12Ple, 14Ple, 16Ple, 5Ple, 19Ple, 10Ple, and 2Ple" the name of each of the 11 microsatellites gentotyped in our study. In addition to that, we provide a small summary of the "Number of microsatellites", "Number of Individuals", "Number of Areas", "Number of Populations", and "N of individuals per area and population".
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 89.7 kBytes
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  • 19
    Publication Date: 2017-05-09
    Description: Anthropogenic litter is present in all marine habitats, from beaches to the most remote points in the oceans. On the seafloor, marine litter, particularly plastic, can accumulate in high densities with deleterious consequences for its inhabitants. Yet, because of the high cost involved with sampling the seafloor, no large-scale assessment of distribution patterns was available to date. Here, we present data on litter distribution and density collected during 588 video and trawl surveys across 32 sites in European waters. We found litter to be present in the deepest areas and at locations as remote from land as the Charlie-Gibbs Fracture Zone across the Mid-Atlantic Ridge. The highest litter density occurs in submarine canyons, whilst the lowest density can be found on continental shelves and on ocean ridges. Plastic was the most prevalent litter item found on the seafloor. Litter from fishing activities (derelict fishing lines and nets) was particularly common on seamounts, banks, mounds and ocean ridges. Our results highlight the extent of the problem and the need for action to prevent increasing accumulation of litter in marine environments.
    Type: Article , PeerReviewed
    Format: text
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  • 20
    Publication Date: 2021-02-08
    Description: Future deep-sea mining for polymetallic nodules in abyssal plains will negatively impact the benthic ecosystem, but it is largely unclear whether this ecosystem will be able to recover from mining disturbance and if so, to what extent and at what timescale. During the "DISturbance and reCOLonization" (DISCOL) experiment, a total of 22% of the seafloor within a 10.8km2 circular area of the nodule-rich seafloor in the Peru Basin (SE Pacific) was ploughed in 1989 to bury nodules and mix the surface sediment. This area was revisited 0.1, 0.5, 3, 7, and 26 years after the disturbance to assess macrofauna, invertebrate megafauna and fish density and diversity. We used this unique abyssal faunal time series to develop carbon-based food web models for each point in the time series using the linear inverse modeling approach for sediments subjected to two disturbance levels: (1) outside the plough tracks; not directly disturbed by plough, but probably suffered from additional sedimentation; and (2) inside the plough tracks. Total faunal carbon stock was always higher outside plough tracks compared with inside plough tracks. After 26 years, the carbon stock inside the plough tracks was 54% of the carbon stock outside plough tracks. Deposit feeders were least affected by the disturbance, with modeled respiration, external predation, and excretion rates being reduced by only 2.6% inside plough tracks compared with outside plough tracks after 26 years. In contrast, the respiration rate of filter and suspension feeders was 79.5% lower in the plough tracks after 26 years. The "total system throughput" (T..), i.e., the total sum of modeled carbon flows in the food web, was higher throughout the time series outside plough tracks compared with the corresponding inside plough tracks area and was lowest inside plough tracks directly after the disturbance (8.63 × 10−3±1.58 × 10−5mmolCm−2d−1). Even 26 years after the DISCOL disturbance, the discrepancy of T.. between outside and inside plough tracks was still 56%. Hence, C cycling within the faunal compartments of an abyssal plain ecosystem remains reduced 26 years after physical disturbance, and a longer period is required for the system to recover from such a small-scale sediment disturbance experiment.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: archive
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