Study of the potential for existing bathythermic string drifters

Evaluation report on the use of subsurface temperature buoy data and on their ability to provide suitable measurements in the ocean boundary laye

AtlantOS Deliverable 3.8: OceanSITES Networking Report

During the course of AtlantOS, our ability to provide biogeochemical (BGC) time series and Eulerian data which is of sufficient quality and quantity to approach basin-scale capacity has improved in a major way in some areas but has declined or not progressed in others. Indeed, the increased coordination achieved through AtlantOS has both increased our capacity to collectively further a basin-scale operation, and revealed new challenges in implementation. These outcomes are synthesised in this report to improve future planning for Eulerian capacities in BGC observation. Areas of significant progress 1. Development of capacity for emerging BGC variables 2. Establishment of a system for developing “Best practice” recording. 3. Transatlantic MOU with Canada 4. Data management and dissemination The ways to address the areas in which progress has not been made are conceptually simple but practically demanding. In all cases this needs to be carried out at the global scale and therefore under the auspices of OceanSITES. A coherent system which can provide data of sufficient quality and quantity to address societal needs cannot be achieved in isolation by any one Nation state or by Europe and must not be restricted by discipline. It will become self-evident that such an integrated approach will lead to a system which performs at a much higher level than the sum of its component parts. With continuous pressure from the European Commission, further and additional support from member states, continuing political and scientific dialogue with South Atlantic countries and strong management encouragement at all levels, the establishment of an effective eulerian observatory network is anticipated within the coming decade

Essential Ocean Variables for Biogeochemical Observations

Ocean biogeochemical (BGC) processes are fundamental for several key ocean ecosystem functions and services. For example, carbon dioxide uptake and storage by chemical uptake and biological fixation in combination with transport to depth remove anthropogenic carbon from the atmosphere and counteract global warming. Another important example would be nutrient regeneration from organic matter remineralization that sustains ocean productivity and, hence, also seafood supply. Although many BGC processes are rooted in surface waters where primary productivity and ocean / atmosphere exchange takes place, the deep ocean contributes strongly to the cycling and sequestration of elements. Without a consideration of organic particle attenuation in the deep pelagic and rates of remineralization and accumulation at the vast deep seafloor, the efficiency of the biological carbon pump and the recycling of nutrients – and potential effects of global change – can hardly be quantified. Considering the relevance of the deep ocean, the Deep Ocean Observing Strategy ‘DOOS’ is revising the Essential Ocean Variables (EOVs) specified by the Global Ocean Observing System (GOOS) with a deep ocean perspective. The DOOS community recognized, that most GOOS BGC EOVs are also relevant for deep ocean observations. However, the bottom of the sea requires more attention to assess its contribution to ocean BGC. ‘Seafloor labile organic matter’ and ‘seafloor respiration’ are candidates for additional EOVs beyond the GOOS EOVs ‘oxygen’ and ‘particulate matter’. Online questionnaires are prepared to facilitate an expert revision of GOOS BGC EOVs in order to make specific suggestions for modifications to the responsible GOOS panel. The revision includes the target phenomena and spatiotemporal scales, the observing platforms and networks considered relevant, and the requirements of observations. This contribution introduces the revision approach and invites experts to take part

EU-FP7 MIDAS: Introduction to WP10 (New monitoring technologies)

WP10 aims to identify and refine monitoring technologies to assess mining impacts on deep-sea ecosystems - ahead of mining (baseline studies), concurrent to mining and after exploration is finished. Established and cutting edge monitoring technologies will be compiled and assessed, and selected technologies will be tested and demonstrated. WP10 is truly cross-cutting and will, in close cooperation with WPs 1-6, compile key monitoring targets to characterize the physical impact, the response of the ecosystem, as well as potential and actual recovery. Knowledge from WP1 and WP2 will be incorporated in order to identify physico-chemical characteristics and spatial scales of mining impacts for the different resources and habitats. Results obtained in WP3 and 5 will be crucial to select environmental conditions, organisms, and processes that need to be monitored in order to not miss ecosystem components of particular importance and sensitivity. Exchange of knowledge with WP4 and 6 will make sure that monitoring provides the information needed to minimize impacts by proper mining strategies and to successfully detect deterioration and recovery of deep-sea faunal communities. The combination of partners from industry and academia will make the full range of existing methodology available and allow to come up with monitoring technologies that suit impacts of industrial mining gear and prerequisites for routine monitoring by industry. Along this line WP10 will focus on technologies that are fast and cost efficient, i.e., require a minimum need for scientific expertise and efforts and encompass the full pipeline from the sample and data collection to the provision of comprehensible products (e.g., maps and metrics). Suggested monitoring solutions will be evaluated with regard to industrial practices (WP7) and transferred to WP8 and 9 to contribute to the development of protocols, standards, and guidelines. During the kick-off meeting a preliminary collection of existing deep sea ecosystem monitoring technologies and expertise at WP10 partner institutions will be presented and extended to the entire consortium. This is the first step towards the compilation, assessment, and gap analysis of monitoring technologies in research and industry (D10.1). Future WP10 tasks focusing on habitat mapping and monitoring of ecosystem functions and biodiversity will be introduced. Finally we will collect technologies and upcoming cruises that are available to carry out monitoring tests and demonstrations

Giant Slalom: Analysis of Course Setting, Steepness and Performance of Different Age Groups - A Pilot Study

Introduction: Giant slalom is the core discipline of alpine skiing, and each race has its own specific course and terrain characteristics. These variations may explain differences in the speed and time per turn profiles, which are essential for performance development and injury prevention. This study aims to address the differences in course setting and steepness of the different course sections (flat-medium-steep) and compare them to the performance parameters among young (U12, U14, U16) and older (U18, U21, elite) male athletes. Methods: The study examined a total sample size of 57 male athletes; 7 from elite level, 11 from U21, 13 from U18, 6 from U16, 13 from U14, and 7 from U12. The athletes wore a portable global navigation satellite system (GNSS) sensor to extract performance parameters. The course profiles and gate positions of nine runs were measured with differential GNSS. The runs were divided into flat, medium and steep sections. From the performance parameters (speed, time per turn, etc.) and the course setting variables, the mean value per section was calculated and used for the further analysis. Results: In total, 192 run sections from 88 runs were recorded and analyzed. Comparisons between course settings in young and older classes showed no significant differences. However, the turning angles and horizontal gate distances were smaller in flat sections. Average speed (49.77 vs. 65.33 km/h) and time per turn (1.74 vs. 1.41 s) differed significantly between young and U21/elite categories. In medium terrain sections U21 and elite athletes spent more time in the gliding phase compared to all other athletes. Discussion: It seems to be a reasonable that, given similar course setting and steepness, speed increases concurrently with the technical and tactical skills of the athlete. Moreover, the finding that the elite athletes spent more time in the gliding phase could be crucial for understanding technique and performance development in young athletes

Impact of preservation method and storage period on ribosomal metabarcoding of marine microbes: Implications for remote automated samplings

Automated sampling technologies can enhance the temporal and spatial resolution of marine microbial observations, particularly in remote and inaccessible areas. A critical aspect of automated microbiome sampling is the preservation of nucleic acids over long-term autosampler deployments. Understanding the impact of preservation method on microbial metabarcoding is essential for implementing genomic observatories into existing infrastructure, and for establishing best practices for the regional and global synthesis of data. The present study evaluates the effect of two preservatives commonly used in autosampler deployments (mercuric chloride and formalin) and two extraction kits (PowerWater and NucleoSpin) on amplicon sequencing of 16S and 18S rRNA gene over 50 weeks of sample storage. Our results suggest the combination of mercuric chloride preservation and PowerWater extraction as most adequate for 16S and 18S rRNA gene amplicon-sequencing from the same seawater sample. This approach provides consistent information on species richness, diversity and community composition in comparison to control samples (nonfixed, filtered and frozen) when stored up to 50 weeks at in situ temperature. Preservation affects the recovery of certain taxa, with specific OTUs becoming overrepresented (SAR11 and diatoms) or underrepresented (Colwellia and pico-eukaryotes) after preservation. In case eukaryotic sequence information is the sole target, formalin preservation and NucleoSpin extraction performed best. Our study contributes to the design of long-term autonomous microbial observations in remote ocean areas, allowing cross-comparison of microbiome dynamics across sampling devices (e.g., water and particle samplers) and marine realms

Effects of a deep-sea mining experiment on seafloor microbial communities and functions after 26 years

Future supplies of rare minerals for global industries with high-tech products may depend on deep-sea mining. However, environmental standards for seafloor integrity and recovery from environmental impacts are missing. We revisited the only midsize deep-sea disturbance and recolonization experiment carried out in 1989 in the Peru Basin nodule field to compare habitat integrity, remineralization rates, and carbon flow with undisturbed sites. Plough tracks were still visible, indicating sites where sediment was either removed or compacted. Locally, microbial activity was reduced up to fourfold in the affected areas. Microbial cell numbers were reduced by ~50% in fresh “tracks” and by <30% in the old tracks. Growth estimates suggest that microbially mediated biogeochemical functions need over 50 years to return to undisturbed levels. This study contributes to developing environmental standards for deep-sea mining while addressing limits to maintaining and recovering ecological integrity during large-scale nodule mining