67 research outputs found

    Carbonate sediments from Maui bay (coral coast, Fiji) reflect importance of coral reef conservation

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    This study describes the origin and characteristics of unconsolidated coral reef sediments from Maui Bay (Coral Coast, Viti Levu Island, Fiji), a site declared under customary law as Marine Protected Area (MPA) by traditional owners in Tagaqe village since the year 2000. Sediment samples were collected from fve transect lines and analysed in the laboratory through drying process and sieving to fractional sizes. The results show that sediments from Maui Bay MPA are composed of very coarse sand (mean sediment size of 1.5 mm) mostly constituted of coral fragments (e.g. Seriatopora spp. and Porites spp.; coral fragments in ≥50% of grains) followed by other smaller particles of calcareous organisms (foraminifera and molluscs, 10–36% of the grains). As expected, siliciclastic sediments are most abundant near the mouth of a creek which brings in sediments from the mountainous hinterland. A comparison of Maui Bay with a non-protected fringing reef with very similar bathymetry at Tabua Sands (qualitative data) along the Coral Coast shows that the non-protected site is rich in brown algae with mostly dead corals. The darkish colour and smell of rotten eggs emanating from sediments collected at Tabua Sands suggests anoxic conditions at shallow sediment depth. This is in contrast to the clean white sediments encountered at Maui Bay indicating healthier coral reefs, which shows the importance and success of protection measures implemented here

    A simulation interface designed for improved user interaction and learning in water quality modelling software

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    Traditional simulation software that supports management decisions is configured and run by experienced scientists. However, it is often criticised for its lack of interactivity, not only in the application of decisions but also in the display of results. This paper presents the simulation interface of software with management strategy evaluation capabilities and its capacity to enable resource managers to learn about water quality management as evaluated in a workshop setting. The software ‘MSE Tool’ is not intended to produce definitive real-world advice but provides a test-bed for managers to interactively design strategies and explore the complexities inherent to water quality management using a simple, yet effective, user interface. MSE Tool has been used in a pilot application that simulated the effects of management strategies applied in catchments and their effects on riverine, estuarine and marine water quality in South East Queensland, Australia. The approach and the software are suitable for reuse in other management strategy evaluation projects

    Climate change adaptation strategies to support Australia's estuarine and coastal marine ecosystems

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    Scientists from James Cook University, CSIRO and Griffith University collaborated to develop a process for planning Climate Change Adaptation actions to support the resilience and productivity of Australia's estuarine and coastal marine ecosystems into the future. This 3 year project involved extensive review of Climate Change Adaptation strategies from across the world and evaluated their usefulness under Australian conditions through reviewing case studies, through interviews with workers from all levels of science and management from across Australia, and by reviewing modelling tools and using advanced qualitative modelling. The project was developed in response to the threats to the fisheries values, biodiversity and ecosystem functions posed by Climate Change on Australia’s estuarine and coastal marine ecosystems that are already heavily impacted by changes in land and water use. This was undertaken in the recognition that large-scale strategy thinking was necessary for a country with a great diversity of estuary and coastal marine ecosystems, plant and animal assemblages, climates, and region-specific threats and matters of contention. The project developed a set of general principles to help direct estuarine and coastal adaptation strategies whatever the particular situation – to help guide, but not constrain, the development of informed adaptation policies, plans and actions

    Climate change adaptation strategies to support Australia's estuarine and coastal marine ecosystems

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    Scientists from James Cook University, CSIRO and Griffith University collaborated to develop a process for planning Climate Change Adaptation actions to support the resilience and productivity of Australia's estuarine and coastal marine ecosystems into the future. This 3 year project involved extensive review of Climate Change Adaptation strategies from across the world and evaluated their usefulness under Australian conditions through reviewing case studies, through interviews with workers from all levels of science and management from across Australia, and by reviewing modelling tools and using advanced qualitative modelling. The project was developed in response to the threats to the fisheries values, biodiversity and ecosystem functions posed by Climate Change on Australia’s estuarine and coastal marine ecosystems that are already heavily impacted by changes in land and water use. This was undertaken in the recognition that large-scale strategy thinking was necessary for a country with a great diversity of estuary and coastal marine ecosystems, plant and animal assemblages, climates, and region-specific threats and matters of contention. The project developed a set of general principles to help direct estuarine and coastal adaptation strategies whatever the particular situation – to help guide, but not constrain, the development of informed adaptation policies, plans and actions

    Climate change impacts on the coral reefs of the UK Overseas Territory of the Pitcairn Islands: Resilience and adaptation considerations

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    The coral reefs of the Pitcairn Islands are in one of the most remote areas of the Pacific Ocean, and yet they are exposed to the impacts of anthropogenic climate change. The Pitcairn Islands Marine Protected Area was designated in 2016 and is one of the largest in the world, but the marine environment around these highly isolated islands remains poorly documented. Evidence collated here indicates that while the Pitcairn Islands' reefs have thus far been relatively sheltered from the effect of warming sea temperatures, there is substantial risk of future coral decalcification due to ocean acidification. The projected acceleration in the rate of sea level rise, and the reefs' exposure to risks from distant ocean swells and cold-water intrusions, add further uncertainty as to whether these islands and their reefs will continue to adapt and persist into the future. Coordinated action within the context of the Pitcairn Islands Marine Protected Area can help enhance the resilience of the reefs in the Pitcairn Islands. Options include management of other human pressures, control of invasive species and active reef interventions. More research, however, is needed in order to better assess what are the most appropriate and feasible options to protect these reefs

    The GULLS project: a comparison of vulnerabilities across selected ocean hotspots and implications for adaptation to global change

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    The GULLS project, `Global learning for local solutions: Reducing vulnerability of marine-dependent coastal communities' has been underway since October 2014. The project has been investigating six regional `hotspots': marine areas experiencing rapid warming. These are south-east Australia, Brazil, India, Solomon Islands, South Africa, and the Mozambique Channel and Madagascar. Rapid warming could be expected to have social, cultural and economic impacts that could affect these countries in different ways and may already be doing so. GULLS has focused on contributing to assessing and reducing the vulnerability of coastal communities and other stakeholders dependent on marine resources and to facilitate adaptation to climate change and variability through an integrated and trans-disciplinary approach. It includes participants from Australia, Brazil, India, Madagascar, New Zealand, South Africa, the United Kingdom and the United States of America. The research programme has been divided into six inter-linked components: ocean models, biological and ecological sensitivity analyses, system models, social vulnerability, policy mapping, and communication and education. This presentation will provide a brief overview of each of these components and describe the benefits that have resulted from the collaborative and transdisciplinary approach of GULLS. Following the standard vulnerability elements of exposure, sensitivity and adaptive capacity, the vulnerabilities of coastal communities and other stakeholders dependent on marine resources in the five hotspots will be compared using a set of indicators derived and populated from results of the research programme. The implications of similarities and differences between the hotspots for adaptation planning and options will be described

    Governance mapping: a framework for assessing the adaptive capacity of marine resource governance to environmental change

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    Marine social-ecological systems are influenced by the way humans interact with their environment, and external forces, which change and re-shape the environment. In many regions, exploitation of marine resources and climate change are two of the primary drivers shifting the abundance and distribution of marine living resources, with negative effects on marine-dependent communities. Governance systems determine ‘who’ makes decisions, ‘what’ are their powers and responsibilities, and ‘how’ they are exercised. Understanding the connections between the actors comprising governance systems and influences between governance and the environment is therefore critical to support successful transitions to novel forms of governance required to deal with environmental changes. The paper provides an analytical framework with a practical example from Vanuatu, for mapping and assessment of the governance system providing for management of coral reef fish resources. The framework enables a rapid analysis of governance systems to identify factors that can encourage, or hinder, the adaptation of communities to changes in abundance or availability of marine resources

    DOGS: Reaction-Driven de novo Design of Bioactive Compounds

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    We present a computational method for the reaction-based de novo design of drug-like molecules. The software DOGS (Design of Genuine Structures) features a ligand-based strategy for automated ‘in silico’ assembly of potentially novel bioactive compounds. The quality of the designed compounds is assessed by a graph kernel method measuring their similarity to known bioactive reference ligands in terms of structural and pharmacophoric features. We implemented a deterministic compound construction procedure that explicitly considers compound synthesizability, based on a compilation of 25'144 readily available synthetic building blocks and 58 established reaction principles. This enables the software to suggest a synthesis route for each designed compound. Two prospective case studies are presented together with details on the algorithm and its implementation. De novo designed ligand candidates for the human histamine H4 receptor and γ-secretase were synthesized as suggested by the software. The computational approach proved to be suitable for scaffold-hopping from known ligands to novel chemotypes, and for generating bioactive molecules with drug-like properties

    BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

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    Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License

    The Eleventh and Twelfth Data Releases of the Sloan Digital Sky Survey: Final Data from SDSS-III

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    The third generation of the Sloan Digital Sky Survey (SDSS-III) took data from 2008 to 2014 using the original SDSS wide-field imager, the original and an upgraded multi-object fiber-fed optical spectrograph, a new near-infrared high-resolution spectrograph, and a novel optical interferometer. All of the data from SDSS-III are now made public. In particular, this paper describes Data Release 11 (DR11) including all data acquired through 2013 July, and Data Release 12 (DR12) adding data acquired through 2014 July (including all data included in previous data releases), marking the end of SDSS-III observing. Relative to our previous public release (DR10), DR12 adds one million new spectra of galaxies and quasars from the Baryon Oscillation Spectroscopic Survey (BOSS) over an additional 3000 deg2 of sky, more than triples the number of H-band spectra of stars as part of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE), and includes repeated accurate radial velocity measurements of 5500 stars from the Multi-object APO Radial Velocity Exoplanet Large-area Survey (MARVELS). The APOGEE outputs now include the measured abundances of 15 different elements for each star. In total, SDSS-III added 5200 deg2 of ugriz imaging; 155,520 spectra of 138,099 stars as part of the Sloan Exploration of Galactic Understanding and Evolution 2 (SEGUE-2) survey; 2,497,484 BOSS spectra of 1,372,737 galaxies, 294,512 quasars, and 247,216 stars over 9376 deg2; 618,080 APOGEE spectra of 156,593 stars; and 197,040 MARVELS spectra of 5513 stars. Since its first light in 1998, SDSS has imaged over 1/3 of the Celestial sphere in five bands and obtained over five million astronomical spectra. © 2015. The American Astronomical Society
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