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Articles 1 - 8 of 8

Full-Text Articles in Physical Sciences and Mathematics

A Framework For Characterising And Evaluating The Effectiveness Of Environmental Modelling, Serena H. Hamilton, Baihua Fu, Joseph H.A. Guillaume, Jennifer Badham, Sondoss Elsawah, Patricia Gober, Randall J. Hunt, Takuya Iwanaga, Anthony J. Jakeman, Daniel P. Ames, Allan Curtis, Mary C. Hill, Suzanne A. Pierce, Fateme Zare Aug 2019

A Framework For Characterising And Evaluating The Effectiveness Of Environmental Modelling, Serena H. Hamilton, Baihua Fu, Joseph H.A. Guillaume, Jennifer Badham, Sondoss Elsawah, Patricia Gober, Randall J. Hunt, Takuya Iwanaga, Anthony J. Jakeman, Daniel P. Ames, Allan Curtis, Mary C. Hill, Suzanne A. Pierce, Fateme Zare

Research outputs 2014 to 2021

Environmental modelling is transitioning from the traditional paradigm that focuses on the model and its quantitative performance to a more holistic paradigm that recognises successful model-based outcomes are closely tied to undertaking modelling as a social process, not just as a technical procedure. This paper redefines evaluation as a multi-dimensional and multi-perspective concept, and proposes a more complete framework for identifying and measuring the effectiveness of modelling that serves the new paradigm. Under this framework, evaluation considers a broader set of success criteria, and emphasises the importance of contextual factors in determining the relevance and outcome of the criteria. These …


Toward Collaborative Open Data Science In Metabolomics Using Jupyter Notebooks And Cloud Computing, Kevin M. Mendez, Leighton Pritchard, Stacey N. Reinke, David I. Broadhurst Jan 2019

Toward Collaborative Open Data Science In Metabolomics Using Jupyter Notebooks And Cloud Computing, Kevin M. Mendez, Leighton Pritchard, Stacey N. Reinke, David I. Broadhurst

Research outputs 2014 to 2021

Background

A lack of transparency and reporting standards in the scientific community has led to increasing and widespread concerns relating to reproduction and integrity of results. As an omics science, which generates vast amounts of data and relies heavily on data science for deriving biological meaning, metabolomics is highly vulnerable to irreproducibility. The metabolomics community has made substantial efforts to align with FAIR data standards by promoting open data formats, data repositories, online spectral libraries, and metabolite databases. Open data analysis platforms also exist; however, they tend to be inflexible and rely on the user to adequately report their methods …


Australian Vegetated Coastal Ecosystems As Global Hotspots For Climate Change Mitigation, Oscar Serrano, Catherine E. Lovelock, Trisha B. Atwood, Peter I. Macreadie, Robert Canto, Stuart Phinn, Ariane Arias-Ortiz, Le Bai, Jeff Baldock, Camila Bedulli, Paul Carnell, Rod M. Connolly, Paul Donaldson, Alba Esteban, Carolyn J. Ewers Lewis, Bradley D. Eyre, Matthew A. Hayes, Pierre Horwitz, Lindsay B. Hutley, Christopher R. J. Kavazos, Jeffrey J. Kelleway, Gary A. Kendrick, Kieryn Kilminster, Anna Lafratta, Shing Lee, Paul S. Lavery, Damien T. Maher, Núria Marbà, Pere Masque, Miguel A. Mateo, Richard Mount, Peter J. Ralph, Chris Roelfsema, Mohammad Rozaimi, Radhiyah Ruhon, Cristian Salinas, Jimena Samper-Villarreal, Jonathan Sanderman, Christian J. Sanders, Isaac Santos, Chris Sharples, Andrew D. L. Steven, Toni Cannard, Stacey M. Trevathan-Tackett, Carlos M. Duarte Jan 2019

Australian Vegetated Coastal Ecosystems As Global Hotspots For Climate Change Mitigation, Oscar Serrano, Catherine E. Lovelock, Trisha B. Atwood, Peter I. Macreadie, Robert Canto, Stuart Phinn, Ariane Arias-Ortiz, Le Bai, Jeff Baldock, Camila Bedulli, Paul Carnell, Rod M. Connolly, Paul Donaldson, Alba Esteban, Carolyn J. Ewers Lewis, Bradley D. Eyre, Matthew A. Hayes, Pierre Horwitz, Lindsay B. Hutley, Christopher R. J. Kavazos, Jeffrey J. Kelleway, Gary A. Kendrick, Kieryn Kilminster, Anna Lafratta, Shing Lee, Paul S. Lavery, Damien T. Maher, Núria Marbà, Pere Masque, Miguel A. Mateo, Richard Mount, Peter J. Ralph, Chris Roelfsema, Mohammad Rozaimi, Radhiyah Ruhon, Cristian Salinas, Jimena Samper-Villarreal, Jonathan Sanderman, Christian J. Sanders, Isaac Santos, Chris Sharples, Andrew D. L. Steven, Toni Cannard, Stacey M. Trevathan-Tackett, Carlos M. Duarte

Research outputs 2014 to 2021

Policies aiming to preserve vegetated coastal ecosystems (VCE; tidal marshes, mangroves and seagrasses) to mitigate greenhouse gas emissions require national assessments of blue carbon resources. Here, we present organic carbon (C) storage in VCE across Australian climate regions and estimate potential annual CO2 emission benefits of VCE conservation and restoration. Australia contributes 5–11% of the C stored in VCE globally (70–185 Tg C in aboveground biomass, and 1,055–1,540 Tg C in the upper 1 m of soils). Potential CO2 emissions from current VCE losses are estimated at 2.1–3.1 Tg CO2-e yr-1, increasing annual CO …


The Export Flux Of Particulate Organic Carbon Derived From 210po/210pb Disequilibria Along The North Atlantic Geotraces Ga01 Transect: Geovide Cruise, Yi Tang, Nolwenn Lemaitre, Maxi Castrillejo, Montserrat Roca-Martí, Pere Masqué, Gillian Stewart Jan 2019

The Export Flux Of Particulate Organic Carbon Derived From 210po/210pb Disequilibria Along The North Atlantic Geotraces Ga01 Transect: Geovide Cruise, Yi Tang, Nolwenn Lemaitre, Maxi Castrillejo, Montserrat Roca-Martí, Pere Masqué, Gillian Stewart

Research outputs 2014 to 2021

The disequilibrium between 210Po activity and 210Pb activity in seawater samples was determined along the GEOTRACES GA01 transect in the North Atlantic during the GEOVIDE cruise (May-June 2014). A steady-state model was used to quantify vertical export of particulate 210Po. Vertical advection was incorporated into one version of the model using time-averaged vertical velocity, which had substantial variance. This resulted in large uncertainties for the 210Po export flux in this model, suggesting that those calculations of 210Po export fluxes should be used with great care. Despite the large uncertainties, there is no question that the deficits of 210Po in the …


Synthesis Report: Defining Thresholds And Indicators Of Primary Producer Response To Dredging-Related Pressures: Report Of Theme 5 Prepared For The Dredging Science Node, Paul Lavery, Kathryn Mcmahon, John Statton, Mat Vanderklift, Simone Strydom, Gary Kendrick Jan 2019

Synthesis Report: Defining Thresholds And Indicators Of Primary Producer Response To Dredging-Related Pressures: Report Of Theme 5 Prepared For The Dredging Science Node, Paul Lavery, Kathryn Mcmahon, John Statton, Mat Vanderklift, Simone Strydom, Gary Kendrick

Research outputs 2014 to 2021

Seagrasses form a small component of a diverse group of organisms termed ‘benthic primary producers’. Benthic primary producers are organisms that grow on the sea-bed that obtain some or all of their energy needs from photosynthesis. This includes animals such as scleractinian corals and some sponges that host microscopic intercellular algae, coralline and turf algae, and the larger seaweeds such as the kelps and sargassum. Seagrasses are marine flowering plants, more closely related to land plants than seaweeds and algae. Seagrasses live mostly in soft sediments, and can be found from the shallow intertidal zone through to a depth of …


Modeling Organic Carbon Accumulation Rates And Residence Times In Coastal Vegetated Ecosystems, E. Fay Belshe, Jose Sanjuan, Carmen Leiva-Dueñas, Nerea Piñeiro-Juncal, Oscar Serrano, Paul Lavery, Miguel Angel Mateo Jan 2019

Modeling Organic Carbon Accumulation Rates And Residence Times In Coastal Vegetated Ecosystems, E. Fay Belshe, Jose Sanjuan, Carmen Leiva-Dueñas, Nerea Piñeiro-Juncal, Oscar Serrano, Paul Lavery, Miguel Angel Mateo

Research outputs 2014 to 2021

Coastal vegetated “blue carbon” ecosystems can store large quantities of organic carbon (OC) within their soils; however, the importance of these sinks for climate change mitigation depends on the OC accumulation rate (CAR) and residence time. Here we evaluate how two modeling approaches, a Bayesian age-depth model alone or in combination with a two-pool OC model, aid in our understanding of the time lines of OC within seagrass soils. Fitting these models to data from Posidonia oceanica soil cores, we show that age-depth models provided reasonable CAR estimates but resulted in a 22% higher estimation of OC burial rates when …


Seagrass Soil Archives Reveal Centennial-Scale Metal Smelter Contamination While Acting As Natural Filters, Anna Lafratta, O Serrano, Pere Masque, Miguel Mateo, Milena Fernandes, Sam Gaylard, Paul Lavery Jan 2019

Seagrass Soil Archives Reveal Centennial-Scale Metal Smelter Contamination While Acting As Natural Filters, Anna Lafratta, O Serrano, Pere Masque, Miguel Mateo, Milena Fernandes, Sam Gaylard, Paul Lavery

Research outputs 2014 to 2021

The upper Spencer Gulf in South Australia hosts the world's largest single stream Pb-Zn smelter, which has caused environmental and health issues related to elevated metal concentrations in the surrounding environment. The area also has extensive seagrass meadows, occupying >4000 km2. We reconstructed the fluxes of heavy metals over the last ~3000 years through a multi-parameter study of the soil archives formed by the seagrass Posidonia australis. Pb, Zn and Cd concentrations increased up to 9-fold following the onset of smelter operations in the 1880s, and the stable Pb isotopic signatures confirmed the smelter has been the main …


Effective Plant Discrimination Based On The Combination Of Local Binary Pattern Operators And Multiclass Support Vector Machine Methods, Vi N T Le, Beniamin Apopei, Kamal Alameh Jan 2019

Effective Plant Discrimination Based On The Combination Of Local Binary Pattern Operators And Multiclass Support Vector Machine Methods, Vi N T Le, Beniamin Apopei, Kamal Alameh

Research outputs 2014 to 2021

Accurate crop and weed discrimination plays a critical role in addressing the challenges of weed management in agriculture. The use of herbicides is currently the most common approach to weed control. However, herbicide resistant plants have long been recognised as a major concern due to the excessive use of herbicides. Effective weed detection techniques can reduce the cost of weed management and improve crop quality and yield. A computationally efficient and robust plant classification algorithm is developed and applied to the classification of three crops: Brassica napus (canola), Zea mays (maize/corn), and radish. The developed algorithm is based on the …