Article
Forestry
Sarah Fischer, Joe Greet, Christopher J. Walsh, Jane A. Catford
Summary: The study demonstrates that redirecting floods can promote seedling growth and increase survival rates, with different species having varying requirements for flooding and soil moisture. Therefore, variable flooding and drying patterns are essential for creating recruitment niches for different riparian plant species.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Forestry
Joe Greet, Sarah Fischer, Christopher J. Walsh, Michael J. Sammonds, Jane A. Catford
Summary: Restoring river-floodplain reconnection can promote the maintenance and recruitment of riparian trees, but achieving widespread tree recruitment may require complementary works such as clearing understorey vegetation and direct seeding or planting.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Plant Sciences
Xin-Sheng Chen, Ying Huang, Yun-He Cai, Zhi-Yong Hou, Zheng-Miao Deng, Feng Li, Ye-Ai Zou, Yong-Hong Xie
Summary: Both seed and bud banks are important for the recruitment and maintenance of macrophyte communities. Seed banks mainly consist of annual species and a few perennials, while bud banks are composed of dominant perennials. Bud banks regulate the demography of dominant perennials, while seed banks contribute to the recruitment and dispersal of annual species. Therefore, the bud banks of dominant perennial species should be widely used in wetland restoration and management.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Forestry
Krishna P. Poudel, Samantha C. Avery, Joshua J. Granger
Summary: The growth and production potential of a tree is closely related to its crown dimensions, with nonlinear models such as exponential, Weibull, and Richards functions often used for prediction. A new study found that using a generalized linear model for predicting crown ratio can result in slightly smaller errors compared to other models.
Article
Geography, Physical
Derek K. Gibson, Broxton W. Bird, Harvie J. Pollard, Cameron A. Nealy, Robert C. Barr, Jaime Escobar
Summary: The study investigated flood frequencies on the lower Ohio River during the late Holocene, finding that the Medieval Climate Anomaly and Little Ice Age impacted flood frequencies in the region, while land clearing in the early 19th century decoupled flood frequencies from this relationship.
QUATERNARY SCIENCE REVIEWS
(2022)
Article
Biodiversity Conservation
A. C. Pereira, G. R. Colli
Summary: This study assessed the effects of human-modified landscapes on the body condition of Caiman crocodilus in the Araguaia floodplain. The results showed that caimans had better body condition in anthropogenic habitats, while wetland cohesion negatively affected their body condition. Caimans can adapt to human-modified landscapes, but it is important to incorporate natural and semi-natural habitat patches.
ANIMAL CONSERVATION
(2023)
Article
Ecology
Marie R. Keatley, Leon J. Bren, Irene L. Hudson
Summary: The River Red-gum and Black Box trees in the Barmah forest of Victoria have different flowering behaviors influenced by flooding, with Black Box showing more consistent and intense flowering than River Red-gum. Flooding frequency and duration impact flowering intensity differently for the two species, with Black Box benefiting more from shorter inundation periods.
Article
Environmental Sciences
Molly Van Appledorn, Nathan R. De Jager, Jason J. Rohweder
Summary: This study reveals spatial gradients in inundation dynamics, showing that characterizing such diversity is important for testing hypotheses, developing models, and informing management actions.
RIVER RESEARCH AND APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Shicheng Li, James Yang
Summary: This study develops an improved water-level prediction framework by coupling machine learning models with ensemble algorithms. The ensemble models generally enhance the prediction efficiency and accurately capture extreme values. The models based on the boosting algorithm perform the best and also show good performance in multi-step-ahead forecasts.
ENGINEERING WITH COMPUTERS
(2023)
Article
Ecology
Maria Diaz-Redondo, Francisco M. Cortes, Beatriz Molina, Javier Alvarez-Rodriguez
Summary: This study conducted a historical analysis of river-floodplain dynamics in a specific section of the Duero River upstream of Zamora, Spain, identifying a system with high stability and anthropization levels, as well as an imbalance of natural trajectories. It suggests the need for nature-based solutions to reactivate rejuvenation processes and promote a more resilient system, which could serve as a basis for process-based restoration practice in other river-floodplain systems.
RESTORATION ECOLOGY
(2021)
Article
Ecology
Nipa Chaki, Michael Reid, Daryl L. Nielsen
Summary: Several studies suggest that flood history is important for microcrustacean egg bank composition and hatching responses. This study found that flood duration influences hatching patterns and microcrustacean abundance, with variation by sites, depth, and inundation duration. Changes in flood duration could impact microcrustacean assemblages and trophic interactions in temporary floodplain wetlands.
FRESHWATER BIOLOGY
(2021)
Article
Ecology
Alejandra Zamora-Figueroa, Ismael Hernandez-Valencia, Nora Malaver
Summary: This study examined the relationship between microbial activity and soil physico-chemical characteristics at different seasons and locations in the Mapire River floodplain. The results show that soil clay content determines the spatial gradient, while moisture and total organic carbon determine the temporal gradient. Microbial activity plays a crucial role in phosphorus dynamics. Despite the complex interactions between biotic and abiotic factors, microbial communities are able to respond to changes in the soil environment and maintain their activity.
Article
Environmental Sciences
Atefeh Nouraki, Mohammad Alavi, Mona Golabi, Mohammad Albaji
Summary: Different machine learning models were used to predict TDS, SAR, and TH in the Karun River system, with random forest regression showing the best performance for TDS, support vector regression for SAR, and multiple linear regression for TH. The study proved the effectiveness of the machine learning models in accurately estimating water quality in the river system.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Environmental
Harald Neidhardt, Sebastian Rudischer, Elisabeth Eiche, Magnus Schneider, Emiliano Stopelli, Vu T. Duyen, Pham T. K. Trang, Pham H. Viet, Thomas Neumann, Michael Berg
Summary: This study found that the majority of PO43- and As in groundwater sediments in the Red River Delta of Vietnam are structurally bound in layers of Fe(III)-(oxyhydr)oxide precipitates, indicating their formation represents a dominant immobilisation mechanism. Competitive sorption between PO43- and As largely depends on the presence of Fe(III)-(oxyhydr)oxides, and ongoing redox processes may decrease competition for sorption sites between the two.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Geosciences, Multidisciplinary
Metin Sarigol, Okan Mert Katipoglu
Summary: Flood routing calculations are crucial for estimating downstream floods and minimizing damages. This research utilized machine learning algorithms to train daily flood data and measure their prediction success in flood routing analysis. Various models were trained with daily average flood hydrograph data, and the success of the algorithms was compared using statistical criteria and visual comparisons. The analysis revealed that the ANFIS model, dividing inputs into subsets and using trim membership function, showed promising results in flood routing, proving the potential for preventing loss of life and property with limited flow data.
Article
Ecology
Catherine E. Lovelock, Maria F. Adame, Jennifer Bradley, Sabine Dittmann, Valerie Hagger, Sharyn M. Hickey, Lindsay B. Hutley, Alice Jones, Jeffrey J. Kelleway, Paul S. Lavery, Peter Macreadie, Damien T. Maher, Soraya McGinley, Alice McGlashan, Sarah Perry, Luke Mosley, Kerrylee Rogers, James Z. Sippo
Summary: The restoration of coastal wetlands has the potential to provide climate change mitigation and adaptation benefits, support biodiversity, and offer additional ecosystem services. Developing rigorous methods for quantifying blue carbon sequestration during restoration is crucial.
RESTORATION ECOLOGY
(2022)
Article
Environmental Studies
Silvia Serrao-Neumann, Pazit Taygfeld, Emma F. Asbridge, Brendan Mackey, Kerrylee Rogers, Darryl Low Choy
Summary: Human agency is crucial in addressing environmental change, but there is a need to overcome structural barriers. By harnessing the temporal and projective attributes of human agency, social actors can exert influence over the future and create solutions. However, relying solely on scenario planning and adaptation pathways planning may not be sufficient to overturn structural barriers in the short-term.
ENVIRONMENTAL POLICY AND GOVERNANCE
(2023)
Article
Forestry
Seftiawan Samsu Rijal, Tien Dat Pham, Salma Noer'Aulia, Muhammad Ikbal Putera, Neil Saintilan
Summary: This study used novel Extreme Gradient Boosting (XGB) and Genetic Algorithm (GA) analyses to estimate mangrove Above-Ground Carbon (AGC) in Loh Buaya, Komodo National Park, Indonesia, by integrating multiple sources of remote sensing data. The hybrid XGB-GA model outperformed other machine learning models and provided reliable estimates of mangrove AGC, which can be valuable for global carbon accounting in tropical mangrove ecosystems.
Article
Multidisciplinary Sciences
Shanshan Song, Yali Ding, Wei Li, Yuchen Meng, Jian Zhou, Ruikun Gou, Conghe Zhang, Shengbin Ye, Neil Saintilan, Ken W. Krauss, Stephen Crooks, Shuguo Lv, Guanghui Lin
Summary: Blue carbon benefit has not been compared between mangrove reforestation and afforestation pathways at the global scale. This study shows that mangrove reforestation has a greater carbon storage potential per hectare than afforestation, mainly due to favorable intertidal positioning, higher nitrogen availability, and lower salinity. Reforestation of deforested mangrove regions worldwide could lead to a global uptake of 671.5-688.8 Tg CO2-eq over a 40-year period, 60% more than afforesting the same global area on marginal tidal flats.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
Marcelle Lock, Neil Saintilan, Iris van Duren, Andrew Skidmore
Summary: The Australian New South Wales Estuary health assessment and biodiversity monitoring program has set state-wide targets for estuary health. In this study, the use of remote sensing derived data for monitoring water quality indicators in selected lakes along the coast was investigated. The results showed that the remote sensing products were partly successful in predicting chlorophyll a concentration and water clarity, but varied across years and lakes. It is likely that the physical differences between the systems influence the algorithm's output, suggesting the need for a tailored monitoring approach.
Article
Geosciences, Multidisciplinary
Tien Dat Pham, Nam Thang Ha, Neil Saintilan, Andrew Skidmore, Duong Cao Phan, Nga Nhu Le, Hung Luu Viet, Wataru Takeuchi, Daniel A. Friess
Summary: Blue carbon ecosystems, including mangroves, seagrasses, and saltmarshes, are highly productive habitats and are crucial for climate change mitigation and adaptation. However, quantifying blue carbon stocks using remote sensing faces challenges such as cloud coverage and limitations of sensors. Recent advances in multispectral and SAR imagery, LiDAR data, and machine learning techniques offer opportunities to quantify blue carbon. Nevertheless, atmospheric correction, data dimensionality, and the limitations of training samples remain as major difficulties in accurately estimating blue carbon stocks.
EARTH-SCIENCE REVIEWS
(2023)
Article
Food Science & Technology
Jasmin C. Martino, Jagoda Crawford, Patricia Gadd, Jesmond Sammut, Neil Saintilan, Debashish Mazumder
Summary: Elemental profiling is a powerful tool for authenticating food origins, but its adoption is hindered by analytical delays and inaccessibility. We evaluated a handheld XRF scanner as a rapid approach for discerning prawn provenance in Australia. Our results showed that harvest site had the biggest influence, and raw samples were better suited for provenance determinations. Machine learning classification models demonstrated high accuracies, showing the practicality of this technology for provenance in supply chains.
Review
Fisheries
T. P. Stelling-Wood, P. E. Gribben, G. Birch, M. J. Bishop, C. Blount, D. J. Booth, C. Brown, E. Bruce, A. B. Bugnot, M. Byrne, R. G. Creese, K. A. Dafforn, J. Dahlenburg, M. A. Doblin, T. E. Fellowes, A. M. Fowler, M. C. Gibbs, W. Glamore, T. M. Glasby, A. C. Hay, B. Kelaher, N. A. Knott, A. W. D. Larkum, L. M. Parker, E. M. Marzinelli, M. Mayer-Pinto, B. Morgan, S. A. Murray, M. J. Rees, P. M. Ross, M. Roughan, N. Saintilan, E. Scanes, J. R. Seymour, N. Schaefer, I. M. Suthers, M. D. Taylor, J. E. Williamson, A. Vila Concejo, R. J. Whittington, W. F. Figueira
Summary: By systematically reviewing published literature and traditional ecological knowledge, this review highlights the extensive amount of knowledge that exists for Gamay, but also identifies key gaps that need to be filled for effective management.
MARINE AND FRESHWATER RESEARCH
(2023)
Article
Biology
Sarah Hamylton, Jeff Kelleway, Kerrylee Rogers, Roger McLean, Zachary Nagel Tynan, Oxana Repina
Summary: Undocumented mangrove forest expansion has been observed in the Howick Group islands in the northern Great Barrier Reef, possibly in response to changing environmental controls. Our study reveals the globally dynamic response of mangrove distribution and forest structure to environmental change.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Food Science & Technology
Karthik Gopi, Debashish Mazumder, Jagoda Crawford, Patricia Gadd, Carol V. V. Tadros, Armand Atanacio, Neil Saintilan, Jesmond Sammut
Summary: As demand for seafood increases, so does seafood fraud. This study presents the development of a database using isotopic and elemental fingerprints of the black tiger prawn to determine its provenance. The models built using the database achieved over 80% accuracy in determining the origin of the prawn. The scalability of the database allows for the inclusion of additional regions, species, or methodologies, providing a valuable tool to combat fraudulent seafood labeling.
Article
Food Science & Technology
Nondita Malo, Debashish Mazumder, Jagoda Crawford, Patricia Gadd, Karthik Gopi, Neil Saintilan, Jesmond Sammut
Summary: Seafood elemental profiling (SEP) is a useful method for analyzing elements in seafood to determine their origin and quality. Traditional methods have limitations, but portable handheld X-ray fluorescence (pXRF) analysis shows promise as an alternative. This study demonstrates the potential of pXRF for industry-level analysis, but further improvements are needed for instrument calibration to account for factors that can affect the results.
Editorial Material
Green & Sustainable Science & Technology
Kerrylee Rogers
Summary: This passage discusses how humans and mangroves adapt to conditions caused by subsidence and relative sea-level rise, emphasizing the importance of quantifying adaptation responses for characterizing spatial variation and informing coastal planning.
NATURE SUSTAINABILITY
(2023)
Article
Environmental Sciences
Li Wen, Tanya J. Mason, Shawn Ryan, Joanne E. Ling, Neil Saintilan, Jose Rodriguez
Summary: This study investigates the long-term condition dynamics of six vegetation communities in the Macquarie Marshes using a time series of Enhanced Vegetation Index derived from Landsat imagery. The results show that the EVI is a useful metric for monitoring wetland condition and its response to climatic and hydrological drivers. Wetland communities are responsive to river flow and seasonality, while terrestrial communities are responsive to climate and seasonality. There is no long-term trend of declining condition, but an increase in condition variability towards the end of the time series requires continued monitoring.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Yu Gao, Jiquan Chen, Neil Saintilan, Bin Zhao, Zutao Ouyang, Tingting Zhang, Haiqiang Guo, Yingying Hao, Feng Zhao, Jianyi Liu, Sikai Wang, Ping Zhuang
Summary: This study investigates the lateral hydrological carbon flux for an estuarine marsh over the course of a year. The results show a significant correlation between imported and exported dissolved organic carbon and dissolved inorganic carbon, but not for particulate organic carbon. The marsh appears to be a net exporter of dissolved organic carbon and dissolved inorganic carbon, but a net sink of particulate organic carbon. The findings highlight the importance of lateral hydrological inflows/outflows in wetland carbon budgets, especially in the meta-ecosystem framework.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Fisheries
Kerrylee Rogers, Kirti K. Lal, Emma F. Asbridge, Patrick G. Dwyer
Summary: This study provides a preliminary consideration for tidal restoration of coastal wetlands in New South Wales, Australia. Multiple potential sites were identified using a pixel-based approach. Decision-makers should take into account the opportunity to increase blue carbon and its associated co-benefits when managing in-stream drainage and flood mitigation infrastructure.
MARINE AND FRESHWATER RESEARCH
(2023)