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  • Abyssal zone.  (1)
  • Deep sea  (1)
  • Kermadec Trench  (1)
  • Vulnerable marine ecosystems  (1)
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  • 1
    Online Resource
    Online Resource
    Newark :John Wiley & Sons, Incorporated,
    Keywords: Abyssal zone. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (747 pages)
    Edition: 1st ed.
    ISBN: 9781118332481
    Language: English
    Note: Intro -- Title Page -- Table of Contents -- Contributors -- Foreword -- Preface -- Origin and scope of the book -- Structure of Biological Sampling in the Deep Sea -- Acknowledgements -- References -- Chapter 1: Deep-Sea Benthic Habitats -- 1.1 Introduction -- 1.2 Ecosystem and habitat diversity in the deep sea -- 1.3 Conclusions -- Acknowledgements -- References -- Chapter 2: Deep-Sea Fauna -- 2.1 Introduction -- 2.2 Life forms -- 2.3 Life habits -- 2.4 Adaptations -- 2.5 Spatial distribution patterns -- 2.6 Temporal patterns -- 2.7 Concluding remarks -- Acknowledgements -- References -- Chapter 3: Survey and Sampling Design -- 3.1 Introduction -- 3.2 General survey design -- 3.3 Case studies -- 3.4 Concluding remarks -- References -- Chapter 4: Environmental Sampling -- 4.1 Introduction -- 4.2 Conductivity, temperature and depth -- 4.3 Acoustic Doppler current profilers -- 4.4 Particulate organic matter -- 4.5 Sampling strategies -- 4.6 Future outlook and summary -- Acknowledgements -- References -- Chapter 5: Benthic Habitat Mapping -- 5.1 Introduction -- 5.2 Habitat - what do we mean? -- 5.3 Acquisition of remote-sensed data -- 5.4 Key elements of survey design for habitat mapping -- 5.5 Data processing, categorization and map generation -- 5.6 Acquisition of ground-truth data -- 5.7 Synthesis -- Acknowledgements -- References -- Chapter 6: Deep-Sea Zooplankton Sampling -- 6.1 Introduction -- 6.2 General considerations in deep-sea zooplankton sampling -- 6.3 Examples of zooplankton samplers used in deep-sea studies -- 6.4 Sampling operations -- 6.5 Environmental impact of sampling operations -- Acknowledgements -- References -- Chapter 7: Trawls -- 7.1 Introduction -- 7.2 General description of gear types -- 7.3 Sampling operations -- 7.4 Dealing with rough seafloor -- 7.5 Evaluation of trawl gear performance. , 7.6 Sample sorting and processing -- 7.7 Interpretation of data -- 7.8 Environmental impact considerations -- Acknowledgements -- Appendix 7.1 Net, ground gear and rigging plans for a typical rough-bottom trawl used both commercially and for research on seamounts in the southern hemisphere (Reproduced with permission of NIWA) -- Appendix 7.2 Details of a beam trawl design used by CEFAS in European waters (CEFAS. Reproduced with permission) -- Appendix 7.3 Flow diagram of Scanmar sensor use from the International Bottom Trawl Survey Manual (Reproduced with permission. ICES, 2010) -- References -- Chapter 8: Longlines -- 8.1 General introduction -- 8.2 Gear description, specifications and modifications -- 8.3 Sampling operations -- 8.4 Measurements, metrics and data considerations -- 8.5 Comparisons with other methods that sample fishes -- Acknowledgements -- Appendix 8.1 Characteristics of some longline component materials -- References -- Chapter 9: Epibenthic Sledges -- 9.1 Introduction -- 9.2 Description of dredge and sledge types, specifications and modifications -- 9.3 Sampling operations: how to choose and use a sledge -- 9.4 Sample sorting and processing -- 9.5 Interpretation of data -- 9.6 Concluding remarks -- Acknowledgements -- References -- Chapter 10: Corers and Grabs -- 10.1 Introduction -- 10.2 Description of gear types -- 10.3 Sampling operations -- 10.4 Sample processing -- 10.5 Data interpretation -- References -- Chapter 11: Landers -- 11.1 Introduction -- 11.2 Experimental design -- 11.3 Interpretation of data -- 11.4 Future developments -- Acknowledgements -- References -- Chapter 12: Towed Cameras -- 12.1 Introduction -- 12.2 Towed camera systems -- 12.3 Fundamentals of towed camera imaging systems -- 12.4 Deployment and survey design -- 12.5 Management of images and metadata -- 12.6 Data extraction and analysis. , 12.7 Methods reporting -- 12.8 Summary -- Acknowledgements -- References -- Chapter 13: Submersibles and Remotely Operated Vehicles -- 13.1 Introduction -- 13.2 General descriptions of submersibles and ROVs -- 13.3 Submersible and ROV sample collection gear -- 13.4 Submersible and ROV sample storage gear -- 13.5 Other gear used during submersible and ROV sampling -- 13.6 Submersible and ROV sampling operations -- 13.7 Submersible and ROV sample processing -- Acknowledgements -- References -- Chapter 14: Seafloor Observatories -- 14.1 Introduction -- 14.2 Planning an observatory system -- 14.3 Cabled observatories -- 14.4 Autonomous observatories -- 14.5 Data processing, management and archiving -- 14.6 Outreach for seafloor observatories -- 14.7 The future -- Acknowledgments -- References -- Chapter 15: Sorting, Recording, Preservation and Storage of Biological Samples -- 15.1 Introduction -- 15.2 Pre-voyage preparation -- 15.3 Sorting -- 15.4 Preservation -- 15.5 Sample labelling and recording -- 15.6 Photographing specimens -- 15.7 Sample storage and transport -- Acknowledgements -- Appendix 15.1 Example of forms that help sorting staff with consistent taxonomic identification, recording, and preservation standards -- Appendix 15.2 Shipping of samples in ethanol or formalin -- Appendix 15.3 Recommendations for the completion of a shipping letter (adapted from the Australian Quarantine and Inspection Service, AQIS) for shipping ethanol by air -- References -- Chapter 16: Information Management Strategies for Deep-Sea Biology -- 16.1 Introduction -- 16.2 General information management considerations -- 16.3 Considerations for specific data types -- 16.4 Conclusions -- Acknowledgements -- References -- Chapter 17: Data Analysis Considerations -- 17.1 Introduction -- 17.2 Hypotheses - what is your question?. , 17.3 Faunal data - what type of data do you have? -- 17.4 Environmental data - what should you use? -- 17.5 Sampling biases - how can you account for them? -- 17.6 Stratification and covariance - how can you partition out main effects? -- 17.7 Interpretation - how can you make the best sense of your results? -- References -- Chapter 18: Application of Biological Studies to Governance and Management of the Deep Sea -- 18.1 Introduction -- 18.2 What is managed and who are the managers? -- 18.3 The role of science -- 18.4 Management approaches and needs -- 18.5 Case studies -- 18.6 Biological studies at the science-policy interface -- Acknowledgements -- References -- Chapter 19: The Future of Biological Sampling in the Deep Sea -- 19.1 Introduction -- 19.2 Data collection -- 19.3 Data management -- 19.4 Data analysis -- 19.5 Future motivations for sampling -- Acknowledgements -- Glossary -- Index -- Supplemental Images -- End User License Agreement.
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  • 2
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2013. This is the author's version of the work. It is posted here by permission of Elsevier for personal use, not for redistribution. The definitive version was published in Marine Policy 49 (2014):146-154, doi:10.1016/j.marpol.2013.11.017.
    Description: The United Nations General Assembly in 2006 and 2009 adopted resolutions that call for the identification and protection of vulnerable marine ecosystems (VMEs) from significant adverse impacts of bottom fishing. While general criteria have been produced, there are no guidelines or protocols that elaborate on the process from initial identification through to the protection of VMEs. Here, based upon an expert review of existing practices, a 10-step framework is proposed: 1) Comparatively assess potential VME indicator taxa and habitats in a region; 2) determine VME thresholds; 3) consider areas already known for their ecological importance; 4) compile information on the distributions of likely VME taxa and habitats, as well as related environmental data; 5) develop predictive distribution models for VME indicator taxa and habitats; 6) compile known or likely fishing impacts; 7) produce a predicted VME naturalness distribution (areas of low cumulative impacts); 8) identify areas of higher value to user groups; 9) conduct management strategy evaluations to produce trade-off scenarios; 10) review and re-iterate, until spatial management scenarios are developed that fulfil international obligations and regional conservation and management objectives. To date, regional progress has been piecemeal and incremental. The proposed 10-step framework combines these various experiences into a systematic approach.
    Description: The New Zealand Ministry of Science and Innovation (now known as the Ministry of Business, Innovation and Employment) provided funding for the workshop
    Keywords: High seas ; Vulnerable marine ecosystems ; Systematic conservation planning ; ABNJ ; VME ; RFMO
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
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  • 3
    Publication Date: 2022-05-25
    Description: © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Deep Sea Research Part I: Oceanographic Research Papers 100 (2015): 21-33, doi:10.1016/j.dsr.2015.01.010.
    Description: Most of our knowledge about deep-sea habitats is limited to bathyal (200–3000 m) and abyssal depths (3000–6000 m), while relatively little is known about the hadal zone (6000–11,000 m). The basic paradigm for the distribution of deep seafloor biomass suggests that the reduction in biomass and average body size of benthic animals along depth gradients is mainly related to surface productivity and remineralisation of sinking particulate organic carbon with depth. However, there is evidence that this pattern is somewhat reversed in hadal trenches by the funnelling of organic sediments, which would result in increased food availability along the axis of the trenches and towards their deeper regions. Therefore, despite the extreme hydrostatic pressure and remoteness from the pelagic food supply, it is hypothesized that biomass can increase with depth in hadal trenches. We developed a numerical model of gravitational lateral sediment transport along the seafloor as a function of slope, using the Kermadec Trench, near New Zealand, as a test environment. We propose that local topography (at a scale of tens of kilometres) and trench shape can be used to provide useful estimates of local accumulation of food and, therefore, patterns of benthic biomass. Orientation and steepness of local slopes are the drivers of organic sediment accumulation in the model, which result in higher biomass along the axis of the trench, especially in the deepest spots, and lower biomass on the slopes, from which most sediment is removed. The model outputs for the Kermadec Trench are in agreement with observations suggesting the occurrence of a funnelling effect and substantial spatial variability in biomass inside a trench. Further trench surveys will be needed to determine the degree to which seafloor currents are important compared with the gravity-driven transport modelled here. These outputs can also benefit future hadal investigations by highlighting areas of potential biological interest, on which to focus sampling effort. Comprehensive exploration of hadal trenches will, in turn, provide datasets for improving the model parameters and increasing predictive power.
    Description: MCI would also like to thank the University of Southampton, the Natural Environment Research Council (NERC, grant number NEW332003) and the Institute of Marine Engineering, Science & Technology (IMarEST), for supporting his research towards a PhD. We are grateful for the support provided by the National Science Foundation (OCE-1131620 to TMS, JCD, and PHY) to the Hadal Ecosystem Studies (HADES) project to which this paper forms a contribution. Support also came from the Natural Environment Research Council (NERC) and its Marine Environmental Mapping Programme (MAREMAP).
    Keywords: Hadal ecology ; Sediment ; Gravitational transport ; Topography ; Benthic biomass ; Kermadec Trench
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 4
    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 Howell, K. L., Hilario, A., Allcock, A. L., Bailey, D. M., Baker, M., Clark, M. R., Colaco, A., Copley, J., Cordes, E. E., Danovaro, R., Dissanayake, A., Escobar, E., Esquete, P., Gallagher, A. J., Gates, A. R., Gaudron, S. M., German, C. R., Gjerde, K. M., Higgs, N. D., Le Bris, N., Levin, L. A., Manea, E., McClain, C., Menot, L., Mestre, N. C., Metaxas, A., Milligan, R. J., Muthumbi, A. W. N., Narayanaswamy, B. E., Ramalho, S. P., Ramirez-Llodra, E., Robson, L. M., Rogers, A. D., Sellanes, J., Sigwart, J. D., Sink, K., Snelgrove, P. V. R., Stefanoudis, P., V., Sumida, P. Y., Taylor, M. L., Thurber, A. R., Vieira, R. P., Watanabe, H. K., Woodall, L. C., & Xavier, J. R. A blueprint for an inclusive, global deep-sea ocean decade field program. Frontiers in Marine Science, 7, (2020): 584861, doi:10.3389/fmars.2020.584861.
    Description: The ocean plays a crucial role in the functioning of the Earth System and in the provision of vital goods and services. The United Nations (UN) declared 2021–2030 as the UN Decade of Ocean Science for Sustainable Development. The Roadmap for the Ocean Decade aims to achieve six critical societal outcomes (SOs) by 2030, through the pursuit of four objectives (Os). It specifically recognizes the scarcity of biological data for deep-sea biomes, and challenges the global scientific community to conduct research to advance understanding of deep-sea ecosystems to inform sustainable management. In this paper, we map four key scientific questions identified by the academic community to the Ocean Decade SOs: (i) What is the diversity of life in the deep ocean? (ii) How are populations and habitats connected? (iii) What is the role of living organisms in ecosystem function and service provision? and (iv) How do species, communities, and ecosystems respond to disturbance? We then consider the design of a global-scale program to address these questions by reviewing key drivers of ecological pattern and process. We recommend using the following criteria to stratify a global survey design: biogeographic region, depth, horizontal distance, substrate type, high and low climate hazard, fished/unfished, near/far from sources of pollution, licensed/protected from industry activities. We consider both spatial and temporal surveys, and emphasize new biological data collection that prioritizes southern and polar latitudes, deeper (〉 2000 m) depths, and midwater environments. We provide guidance on observational, experimental, and monitoring needs for different benthic and pelagic ecosystems. We then review recent efforts to standardize biological data and specimen collection and archiving, making “sampling design to knowledge application” recommendations in the context of a new global program. We also review and comment on needs, and recommend actions, to develop capacity in deep-sea research; and the role of inclusivity - from accessing indigenous and local knowledge to the sharing of technologies - as part of such a global program. We discuss the concept of a new global deep-sea biological research program ‘Challenger 150,’ highlighting what it could deliver for the Ocean Decade and UN Sustainable Development Goal 14.
    Description: Development of this paper was supported by funding from the Scientific Committee on Oceanic Research (SCOR) awarded to KH and AH as working group 159 co-chairs. KH, BN, and KS are supported by the UKRI funded One Ocean Hub NE/S008950/1. AH work is supported by the CESAM (UIDP/50017/2020 + 1432 UIDB/50017/2020) that is funded by Fundação para a Ciência e a Tecnologia (FCT)/MCTES through national funds. AA is supported by Science Foundation Ireland and the Marine Institute under the Investigators Program Grant Number SFI/15/IA/3100 co-funded under the European Regional Development Fund 2014–2020. AC is supported through the FunAzores -ACORES 01-0145-FEDER-000123 grant and by FCT through strategic project UID/05634/2020 and FCT and Direção-Geral de Politica do Mar (DGPM) through the project Mining2/2017/005. PE is funded by national funds (OE), through FCT in the scope of the framework contract foreseen in the numbers 4, 5 and 6 of the article 23, of the Decree-Law 57/2016, of August 29, changed by Law 57/2017, of July 19. SG research is supported by CNRS funds. CG is supported by an Independent Study Award and the Investment in Science Fund at WHOI. KG gratefully acknowledges support from Synchronicity Earth. LL is funded by the NOAA Office of Ocean Exploration and Research (NA19OAR0110305) and the US National Science Foundation (OCE 1634172). NM is supported by FCT and DGPM, through the project Mining2/2017/001 and the FCT grants CEECIND/00526/2017, UIDB/00350/2020 + UIDP/00350/2020. SR is funded by the FCTgrant CEECIND/00758/2017. JS is supported by ANID FONDECYT #1181153 and ANID Millennium Science Initiative Program #NC120030. JX research is funded by the European Union’s Horizon 2020 research and innovation program through the SponGES project (grant agreement no. 679849) and further supported by national funds through FCT within the scope of UIDB/04423/2020 and UIDP/04423/2020. The Natural Sciences and Engineering Council of Canada supports AM and PVRS. MB and the Deep-Ocean Stewardship Initiative are supported by Arcadia - A charitable fund of Lisbet Rausing and Peter Baldwin. BN work is supported by the NERC funded Arctic PRIZE NE/P006302/1.
    Keywords: Deep sea ; Blue economy ; Ocean Decade ; Biodivercity ; Essential ocean variables
    Repository Name: Woods Hole Open Access Server
    Type: Article
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