Interactions of the Totten Glacier with the Southern Ocean through multiple glacial cycles (IN2017-V01): Post-survey report

The authors wish to thank the CSIRO Marine National Facility (MNF) for its support in the form of sea time on RV Investigator, support personnel, scientific equipment and data management. All data and samples acquired on the voyage are made publicly available in accordance with MNF Policy. All raw and processed data acquired by MNF equipment on MNF voyages will be archived by MNF data support staff in the enduring CSIRO Data Access Portal, https://data.csiro.au. Metadata records will be made publicly available at http://www.marlin.csiro.au. Processed data and data products will be made publicly available through Data Trawler http://www.cmar.csiro.au/data/trawler/index.cfm, the MNF web data access tool http://www.cmar.csiro.au/data/underway/, and/or from national or world data centres most suitable for the dissemination of particular data types.Other Australian Program Support Smaller projects have attracted funding to support research activities post-cruise these include the following: 1. Australian and New Zealand IODP Committee (ANZIC) Special Analytical Support Grant. Project Title: Using ancient phytoplankton communities and genes to illuminate future ocean responses. Researchers involved: L. Armand, L. Armbrecht, M. Ostrowski, & S. George. 2. Australian Antarctic Division Australian Antarctic Science Grant (#4320). Project Title: Characterising East Antarctic seabed habitats. Researchers involved: Post, A.L., & Smith, J. 3. Australian Antarctic Division Australian Antarctic Science Grant (#4419). Project Title: Response of the Totten Glacier to past climate warming. Researchers involved: Noble, T., Armand, L., Chase, Z., & Halpin, J.The Sabrina Sea Floor Survey was a major marine geoscience expedition to the Antarctic margin which took place between 14 January and 7 March 2017. It sailed on the Australian Marine National Facility vessel RV Investigator. This document describes survey activities, data collected on the ship and important metadata. Some preliminary results are included and the location of samples and data sets reported for future use. The report also provides information on data ownership and acknowledgement for future use and publication. It is intended as an aid to future research and use of results and has not been rigorously edited and peer-reviewed.Australian Research Council (DP170100557), Australian Antarctic Science Grant Program (AAS #4333), Italian Antarctic program support PNRA TYTAN Project (PdR 14_00119), Spanish Ministry of Economy and Competitivity (MINECO) (CTM2015-60451-C2-1-P & CTM2015-60451-C2-2-P), United States National Science Foundation's Polar Program - Antarctic Integrated System Science. #1143834, 1143836, 1143837, 1143843, 1313826

Psychological responses to the proximity of climate change

A frequent suggestion to increase individuals’ willingness to take action on climate change and to support relevant policies is to highlight its proximal consequences. However, previous studies that have tested this proximising approach have not revealed the expected positive effects on individual action and support for addressing climate change. We present three lines of psychological reasoning that provide compelling arguments as to why highlighting proximal impacts of climate change might not be as effective a way to increase individual mitigation and adaptation efforts as is often assumed. Our contextualisation of the proximising approach within established psychological research suggests that, depending on the particular theoretical perspective one takes to this issue, and on specific individual characteristics suggested by these perspectives, proximising can bring about the intended positive effects, can have no (visible) effect, or can even backfire. Thus, the effects of proximising are much more complex than is commonly assumed. Revealing this complexity contributes to a refined theoretical understanding of the role psychological distance plays in the context of climate change and opens up further avenues for future research and for interventions

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

The use of shape, appearance and the dynamics of clouds for satellite image interpretation

Atmospheric processes are manifested through the formation and dispersal of clouds and cloud patterns. Consequently, clouds are of great importance to weather forecasting. The ability to study cloud patterns over wide areas and in regions where meteorological data is sparse has led to the development of subjective techniques, that use conceptual models, to analyse the cloud cover contained in satellite images. These conceptual models describe the shape, appearance and dynamics of clouds and cloud patterns and are able to provide an abundance of information about the current and future meteorological situation. Automatic interpretation techniques, however, typically rely on data sources other than satellite images to understand atmospheric processes.In this research a new approach to satellite image interpretation, based on adaptive segmentation techniques and a neural network matching method, has been developed. The approach generates shape, appearance and dynamics characteristics of cloud features identified in satellite images at three spatial scales. These characteristics are combined in an holistic analysis to provide a detailed interpretation of the meteorological situation. Several key advantages are offered by this approach over current methods for automatic satellite image interpretation. Firstly, no data sources in addition to satellite images are required. Secondly, characteristics which quantify the shape, appearance and dynamics of small-scale cloud features are presented in the context of large-scale cloud features, and thirdly, dynamics characteristics of small-scale convective cloud features are able to model the lifecycles of these features.Applied to real satellite images, the interpretations based on the holistic analysis of cloud shape, appearance and dynamics characteristics were shown to be in agreement with the actual meteorological situations. The use of adaptive segmentation and matching methods allowed the key cloud features to be identified, described and matched over image sequences automatically. Subsequent interpretations and forecasts based on this information can be made automatically using intelligent processing techniques.</p

Towards Quantitative Microbiome Community Profiling Using Internal Standards

An inherent issue in high-throughput rRNA gene tag sequencing microbiome surveys is that they provide compositional data in relative abundances. This often leads to spurious correlations, making the interpretation of relationships to biogeochemical rates challenging. To overcome this issue, we quantitatively estimated the abundance of microorganisms by spiking in known amounts of internal DNA standards. Using a 3-year sample set of diverse microbial communities from the Western Antarctica Peninsula, we demonstrated that the internal standard method yielded community profiles and taxon cooccurrence patterns substantially different from those derived using relative abundances. We found that the method provided results consistent with the traditional CHEMTAX analysis of pigments and total bacterial counts by flow cytometry. Using the internal standard method, we also showed that chloroplast 16S rRNA gene data in microbial surveys can be used to estimate abundances of certain eukaryotic phototrophs such as cryptophytes and diatoms. In Phaeocystis, scatter in the 16S/18S rRNA gene ratio may be explained by physiological adaptation to environmental conditions. We conclude that the internal standard method, when applied to rRNA gene microbial community profiling, is quantitative and that its application will substantially improve our understanding of microbial ecosystems. IMPORTANCE High-throughput-sequencing-based marine microbiome profiling is rapidly expanding and changing how we study the oceans. Although powerful, the technique is not fully quantitative; it provides taxon counts only in relative abundances. In order to address this issue, we present a method to quantitatively estimate microbial abundances per unit volume of seawater filtered by spiking known amounts of internal DNA standards into each sample. We validated this method by comparing the calculated abundances to other independent estimates, including chemical markers (pigments) and total bacterial cell counts by flow cytometry. The internal standard approach allows us to quantitatively estimate and compare marine microbial community profiles, with important implications for linking environmental microbiomes to quantitative processes such as metabolic and biogeochemical rates

Effect of the pollutants lead, zinc, hexadecane and octocosane on total growth and shell growth in the Akoya pearl oyster, Pinctada imbricata

Pearl oysters (Pinctada imbricata) were held in the laboratory and exposed to various levels of the heavy metals lead and zinc and the aliphatic hydrocarbons hexadecane and octacosane for 2 months. Individual oysters were followed over the course of the experiment, allowing specific calculation of total oyster growth (wet weight) and shell growth. Significant reductions in total oyster growth were observed when oysters were exposed to high concentrations (270μg L^-1) of either zinc or lead. Exposure to the aliphatic hydrocarbons had no effect on total oyster growth. High concentrations of lead completely halted shell growth, the first demonstration of pollutant induced cessation of biomineralization in pearl oysters. Conversely, exposure to moderate levels of lead and the long-chain hydrocarbon octacosane resulted in significant increases in shell width growth. The results from this study indicate that P. imbricata is relatively tolerant of the selected pollutants and could be deployed within a remediative context in moderately polluted coastal areas