Article
Marine & Freshwater Biology
Chris Roelfsema, Eva M. Kovacs, Julie Vercelloni, Kathryn Markey, Alberto Rodriguez-Ramirez, Sebastian Lopez-Marcano, Manuel Gonzalez-Rivero, Ove Hoegh-Guldberg, Stuart R. Phinn
Summary: Monitoring coral cover at different spatial scales revealed varying trends, with higher cover on reef slopes compared to reef flats. Different sites also showed variable coral cover trajectories, suggesting the importance of examining sites distributed across different geomorphic zones for accurate assessment of coral decline or recovery.
Article
Environmental Sciences
Chris M. Roelfsema, Mitchell B. Lyons, Carolina Castro-Sanguino, Eva M. Kovacs, David Callaghan, Magnus Wettle, Kathryn Markey, Rodney Borrego-Acevedo, Paul Tudman, Meredith Roe, Emma Kennedy, Manuel Gonzalez-Rivero, Nicholas Murray, Stuart R. Phinn
Summary: The geomorphic and benthic composition of Australia's Great Barrier Reef are understudied, but crucial for understanding disturbance impacts and recovery potential. Through new research methods and high-resolution maps, there is now a more comprehensive understanding of the spatial extent and ecological characteristics of the Great Barrier Reef.
Article
Environmental Sciences
Jenny Fong, Peter A. Todd
Summary: The study reveals that interactions between corals and macroalgae vary greatly across sites and seasons, with different coral species showing varying effects on macroalgae. It is important to consider seasonal fluctuations of macroalgae for understanding their overall long-term impacts.
MARINE POLLUTION BULLETIN
(2021)
Article
Biodiversity Conservation
Hillary A. Smith, Stella E. Fulton, Ian M. Mcleod, Cathie A. Page, David G. Bourne
Summary: Manual removal of macroalgae can promote the recovery of inshore coral reefs and improve the composition of benthic reef organisms.
JOURNAL OF APPLIED ECOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Wenhui Zhao, Yi Huang, Steven Siems, Michael Manton
Summary: The study revealed a significant negative correlation between total cloud cover anomaly (TCCA) and lagged sea surface temperature anomaly (SSTA) in the Great Barrier Reef region, which is greater in magnitude and spatial extent compared to the SSTA-ENSO correlation. This suggests that local-scale reduced cloud cover plays a crucial role in the formation of warm shallow water and occurrence of thermal coral bleaching events in the region.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geology
Tara R. Clark, George Roff, Tess Chapman, Hannah Markham-Summers, Nicholas M. Hammerman, Faye Liu, Yuexing Feng, John M. Pandolfi, Jian-xin Zhao
Summary: The overall status of many reefs in the Great Barrier Reef is uncertain due to the lack of detailed broad-scale studies. The relative role of various threats in impacting individual reefs is generally unclear. A novel approach using uranium-thorium dating of dead corals was adopted to reconstruct historical disturbance events at Rib and Davies Reefs, providing a reliable benchmark to assess recovery and monitor coral communities effectively.
Article
Fisheries
Morgan S. Pratchett, Ciemon F. Caballes, Jean-Paul A. Hobbs, Joseph D. DiBattista, Brock Bergseth, Peter Waldie, Curtis Champion, Samuel P. Mc Cormack, Andrew S. Hoey
Summary: This study explored the variation in physiological condition of common coral trout on Australia's Great Barrier Reef after severe mass bleaching and coral loss. The results showed that fish condition was largely influenced by fish size and varied with latitude, while there was no apparent effect of recent coral bleaching on the physiological condition of the fish. However, further changes to the environmental conditions and reef habitat may impact these important fisheries species.
Article
Multidisciplinary Sciences
Emma V. Kennedy, Chris M. Roelfsema, Mitchell B. Lyons, Eva M. Kovacs, Rodney Borrego-Acevedo, Meredith Roe, Stuart R. Phinn, Kirk Larsen, Nicholas J. Murray, Doddy Yuwono, Jeremy Wolff, Paul Tudman
Summary: Improved high-resolution global mapping can benefit coral reef management and conservation. The Reef Cover classification system bridges the gap between earth observation data and geo-ecological knowledge of reefs, maximizing applicability at global scales while maintaining relevance and accuracy at local scales. Case studies demonstrate the scientific and conservation benefits of using Reef Cover for detailed mapping and management in different regions.
Article
Ecology
Hillary A. Smith, Dylan A. Brown, Chaitanya Arjunwadkar, Stella E. Fulton, Taylor Whitman, Bambang Hermanto, Elissa Mastroianni, Neil Mattocks, Adam K. Smith, Peter L. Harrison, Lisa Bostrom-Einarsson, Ian M. McLeod, David G. Bourne
Summary: Removing macroalgae may be an effective intervention to boost recruitment and facilitate recovery on degraded tropical coral reefs.
RESTORATION ECOLOGY
(2022)
Article
Multidisciplinary Sciences
Ian M. McLeod, Margaux Y. Hein, Russ Babcock, Line Bay, David G. Bourne, Nathan Cook, Christopher Doropoulos, Mark Gibbs, Peter Harrison, Stewart Lockie, Madeleine J. H. van Oppen, Neil Mattocks, Cathie A. Page, Carly J. Randall, Adam Smith, Hillary A. Smith, David J. Suggett, Bruce Taylor, Karen J. Vella, David Wachenfeld, Lisa Bostrom-Einarsson
Summary: Australia has been implementing innovative intervention and restoration actions to address the decline in coral cover in its reefs. This article outlines the various approaches taken, including in-water programs, research to enhance coral resilience, and investigations into socio-economic perspectives. The progress in coral restoration in Australia demonstrates the increasing urgency to confront the coral reef crisis and the development of new tools for reef management.
Article
Oceanography
Lorna Howlett, Emma F. Camp, John Edmondson, Jenny Edmondson, Taryn Agius, Russell Hosp, Philip Coulthard, Steve Edmondson, David J. Suggett
Summary: Coral propagation through nurseries and out-planting practices has increased globally to improve stakeholder-led stewardship for local reef site health. The tourism industry in the Great Barrier Reef implemented coral propagation after back-to-back bleaching events, overcoming cost-efficiency limitations through the Coral Nurture Program (CNP) partnership model. Success of CNP relies on collaboration between researchers and operators, utilizing complementary expertise and resources for continual improvement. This study examines the CNP activity to evaluate how collective propagation by tourism operators and research validation can enhance site stewardship on the Great Barrier Reef.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Jessica A. Benthuysen, Grant A. Smith, Claire M. Spillman, Craig R. Steinberg
Summary: The 2020 marine heatwave in the Great Barrier Reef and Coral Sea caused mass coral bleaching, with sea surface temperature anomalies exceeding +2 degrees C across broad regions. While the model predictions generally agreed with observations in the first week, it failed to capture the development phase and end of the heatwave. Subseasonal variability due to weather systems affected the accuracy of predicting the event's duration and intensity.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Multidisciplinary Sciences
Cheng-Han Tsai, Hugh P. A. Sweatman, Loic M. Thibaut, Sean R. Connolly
Summary: This study analyzed time series data of reef fish assemblages from the Great Barrier Reef and found that increased volatility in coral cover decreases the temporal stability of fish relative abundances, a transformation that cannot be detected from static measures of biodiversity.
Article
Environmental Sciences
Esther Fischer, Graham Jones
Summary: Short-term stress experiments were conducted on the staghorn coral Acropora intermedia with dissolved inorganic phosphorus (DIP) and tripolyphosphate (TPP) under low and elevated seawater temperatures. The study found that natural stresses and added substances at high temperatures had significant impacts on the coral's stress indicators.
MARINE POLLUTION BULLETIN
(2021)
Article
Marine & Freshwater Biology
Zoe T. Richards, David J. Juszkiewicz, Anne Hoggett
Summary: The analysis of 44 years of coral distribution records in the Lizard Island reef system reveals persistence of some species and potential risks of local extinction or range reduction for others. The biodiversity surveys from 2011 to 2020 show fluctuations in species diversity, with significant declines followed by recovery during this period.
Article
Fisheries
Alastair R. Harborne, David P. Kochan, Melanie M. Esch, Robert Y. Fidler, Matthew D. Mitchell, Drew W. Butkowski, Manuel Gonzalez-Rivero
Summary: This study examines the space use of the graysby fish on patch reefs in the Florida Keys. The authors find that larger graysby fish are more active and have larger home ranges. The time spent in preferred microhabitats is positively correlated with the height of carbonate structures. Additionally, the waiting times of graysby fish exhibit bursty patterns.
JOURNAL OF FISH BIOLOGY
(2022)
Article
Environmental Sciences
Eva M. Kovacs, Chris Roelfsema, James Udy, Simon Baltais, Mitchell Lyons, Stuart Phinn
Summary: The authors developed a machine learning and cloud processing protocol to map seagrass meadows in Moreton Bay, Australia. By incorporating field-survey data, satellite imagery, and a bathymetric layer, they trained a random forest classifier to accurately map seagrass presence/absence. The method proved effective and generated a bay-wide map.
Article
Agronomy
Chunyue Niu, William Woodgate, Stuart R. Phinn, Chris M. Roelfsema, Yanjun Su
Summary: This study explores the physics-based relationship between biophysical properties of mangroves, tidal height, and their spectral values. By extending a canopy reflectance model (CRM), the impact of woody material on mangrove spectra was analyzed and simulated. The results showed that a higher proportion of woody material reduces the canopy reflectance in the near infrared region and increases it in the shortwave infrared region.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Len J. McKenzie, Lucas A. Langlois, Chris M. Roelfsema
Summary: Seagrass meadows are a crucial ecosystem for the Great Barrier Reef World Heritage Area. Traditional field-based mapping methods have been commonly used, with limited adoption of remote sensing and emerging technologies. By utilizing machine-learning and deep-learning techniques, more accurate and efficient seagrass mapping approaches have been developed, particularly in challenging habitats.
Article
Environmental Sciences
Kathryn McMahon, Kieryn Kilminster, Robert Canto, Chris Roelfsema, Mitchell Lyons, Gary A. Kendrick, Michelle Waycott, James Udy
Summary: This study conducted a cumulative risk analysis of seagrass habitat associated with the Australian continent and identified multiple threats, with nutrient and sediment pollution posing significant risks. The study highlights the danger of focusing management on a single strategy and emphasizes the importance of considering future threats in risk assessment.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Ecology
E. M. P. Madin, K. Precoda, C. M. Roelfsema, A. Suan
Summary: Halos are globally ubiquitous ecological phenomena that affect the functioning and health of coral reef ecosystems. Understanding the mechanisms governing halo formation and maintenance may enable their use as proxies for species interactions.
AMERICAN NATURALIST
(2022)
Article
Computer Science, Cybernetics
Haifeng Shen, Othman Asiry, M. Ali Babar, Tomasz Bednarz
Summary: Attention Deficit Hyperactivity Disorder (ADHD) is a common neurobiological condition that affects children, leading to short attention span and negative impact on academic performance. This study proposes a novel gaze-based visual attentive interface using different text color schemes to extend ADHD children's attention span. The results show that using color schemes significantly improves children's performance, with highlighting being the most effective. This finding highlights the potential of a gaze-based attentive interface with adaptive color schemes for extending ADHD children's attention span.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2023)
Article
Statistics & Probability
Edgar Santos-Fernandez, Julie Vercelloni, Aiden Price, Grace Heron, Bryce Christensen, Erin E. E. Peterson, Kerrie Mengersen
Summary: Crowdsourcing methods are used to produce scientific information by non-experts, which is becoming increasingly important in many fields. However, concerns about the validity of these data often limit their usefulness. This paper focuses on the use of citizen science data in addressing complex challenges in environmental conservation and proposes a Bayesian model to analyze and account for participants' abilities. The model improves the accuracy of the classification tasks and shows the potential of citizen science in answering challenging ecological questions.
INTERNATIONAL STATISTICAL REVIEW
(2023)
Editorial Material
Multidisciplinary Sciences
Joshua J. J. Bon, Adam Bretherton, Katie Buchhorn, Susanna Cramb, Christopher Drovandi, Conor Hassan, Adrianne L. L. Jenner, Helen J. J. Mayfield, James M. M. McGree, Kerrie Mengersen, Aiden Price, Robert Salomone, Edgar Santos-Fernandez, Julie Vercelloni, Xiaoyu Wang
Summary: Bayesian approaches have become an essential part of statisticians and data scientists' toolkit, offering numerous benefits in areas such as intelligent data collection, new data sources, federated analysis, inference for implicit models, model transfer, and purposeful software products. This article is part of the theme issue "Bayesian inference: challenges, perspectives, and prospects".
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Chemistry, Analytical
Bernd Ploderer, Damien Clark, Ross Brown, Joel Harman, Peter A. Lazzarini, Jaap J. Van Netten
Summary: People with DFUs need to consistently perform self-care to promote healing, but it can be difficult to detect improvements. To address this, a mobile app called MyFootCare was developed to self-monitor DFU healing progression. The study evaluates the engagement and perceived value of MyFootCare over 3 months for people with plantar DFUs. Results showed that most participants found MyFootCare valuable for monitoring progress and reflecting on self-care events, but engagement varied due to facilitators and barriers. Further improvements and clinical outcome testing are needed.
Article
Multidisciplinary Sciences
Abhishek Varghese, Edgar Santos-Fernandez, Francesco Denti, Antonietta Mira, Kerrie Mengersen
Summary: We present a novel global perspective on the relationships between COVID-19 datasets, including growth rates of cases and deaths and a government response index. Our findings suggest that COVID-19 data dynamics can be captured by a few important variables, projecting onto low-dimensional manifolds without significant information loss. Spatial autocorrelation in the intrinsic dimension distribution is identified worldwide, with high-income countries more likely to lie on low-dimensional manifolds due to factors such as aging populations and comorbidities. The temporal stratification of the dataset allows for a detailed examination of the intrinsic dimension throughout the pandemic.
SCIENTIFIC REPORTS
(2023)
Article
Biodiversity Conservation
Julie Vercelloni, Chris Roelfsema, Eva M. Kovacs, Manuel Gonzalez-Rivero, Matthew T. Moores, Murray Logan, Kerrie Mengersen
Summary: Understanding the fine-scale heterogeneity of coral dynamics and its implications for assessing coral recovery at larger spatial scales is crucial. This study developed a spatio-temporal statistical model to estimate and predict coral recovery patterns. The results revealed that coral community recoveries were influenced by different habitats and factors at a fine scale.
Article
Marine & Freshwater Biology
Catherine J. S. Kim, Chris Roelfsema, Sophie Dove, Ove Hoegh-Guldberg
Summary: El Nino Southern Oscillation global coral bleaching events are increasing in frequency, with variations in severity. This project in Timor-Leste aimed to assess reef and coral health, and explore the impact of water quality and climate-related changes. The study found significant differences between in situ temperature and remotely sensed sea surface temperature, and identified natural and anthropogenic factors contributing to changes in coral cover.
OCEANS-SWITZERLAND
(2022)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)