Article
Limnology
Qitao Xiao, Hongtao Duan, Boqiang Qin, Zhenghua Hu, Mi Zhang, Tianci Qi, Xuhui Lee
Summary: Eutrophication contributes to CO2 variability by affecting nutrient concentrations, while temperature influences CO2 seasonality by stimulating primary production. Future research should focus on understanding the interactive effects of warming and eutrophication on CO2 emissions.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Fisheries
Dong Xu, Dongfeng Zhu, Youhua Deng, Qirui Sun, Junzhe Ma, Fang Liu
Summary: This study established an evaluation model for the "Happy River Index" using the analytic hierarchy process, and evaluated the main rivers in six regions of Shaoxing City. The results showed that the rivers in Shangyu District, Yuecheng District, and Xinchang County were in a very good state, with total scores of 89, 87, and 85 respectively. The rivers in Zhuji City, Shengzhou City, and Keqiao District had relatively poor states compared to the first three regions, with total scores of 82, 80, and 75 respectively.
MARINE AND FRESHWATER RESEARCH
(2023)
Review
Environmental Sciences
Alissa M. White, W. Payton Gardner, Adrian A. Borsa, Donald F. Argus, Hilary R. Martens
Summary: Hydrogeodesy is the analysis of terrestrial water distribution and movement using measurements of Earth's shape, orientation, and gravitational field. This paper provides a review of the current state of hydrogeodesy, with a specific focus on GNSS measurements of hydrologic loading. The paper discusses how GNSS position time series can be used to estimate terrestrial water storage across different time scales and improve drought characterization. The authors also propose methods to strengthen collaboration between geodesists and hydrologists and suggest pressing questions in hydrology that GNSS can help answer.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Mohammed Bensharada, Richard Telford, Ben Stern, Vince Gaffney
Summary: Thermogravimetric analysis (TGA) and loss on ignition (LOI) are commonly used techniques to determine organic and carbonate content in sediment samples. TGA is more efficient and provides accurate data with sample masses of 30-50 mg. Comparison through an unpaired t-test showed that TGA can replace LOI and has several advantages.
JOURNAL OF PALEOLIMNOLOGY
(2022)
Article
Limnology
Kateri R. Salk, Jason J. Venkiteswaran, Raoul-Marie Couture, Scott N. Higgins, Michael J. Paterson, Sherry L. Schiff
Summary: Research suggests that successful lake management efforts should take into account the effects of climate change on phytoplankton blooms, not just nutrient reductions.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Environmental Sciences
Junda Ren, Adam Point, Sadjad Fakouri Baygi, Sujan Fernando, Philip K. Hopke, Thomas M. Holsen, Brian Lantry, Brian Weidel, Bernard S. Crimmins
Summary: This study investigated the distribution of PFAS in the Laurentian Great Lakes using stable isotope enrichment, fatty acid profiles, and PFAS measurement in various species. The results showed that PFAS concentrations in the studied organisms were lower than previously reported. Deepwater sculpin had the highest PFAS concentration, indicating a potential source of PFAS from the offshore benthic zone or sediment. The study also found that hydrophobicity significantly influenced the bioaccumulation of PFAS in the food web.
JOURNAL OF GREAT LAKES RESEARCH
(2022)
Letter
Limnology
Thomas J. Browning, Xin Liu, Ruifeng Zhang, Zuozhu Wen, Jing Liu, Yaqian Zhou, Feipeng Xu, Yihua Cai, Kuanbo Zhou, Zhimian Cao, Yuanli Zhu, Dalin Shi, Eric P. Achterberg, Minhan Dai
Summary: Experimental results from the Philippine Sea indicate a gradient from nitrogen limitation in the north to nitrogen-iron co-limitation in the south, driving different phytoplankton growth responses. This large-scale phytoplankton response gradient is hypothesized to be climate sensitive and potentially important for regulating the distribution of predatory fish.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2022)
Article
Environmental Sciences
Sungwook Wi, Scott Steinschneider
Summary: This study examines the impact of warming on future streamflow projections by training deep learning models and process models in watersheds in California. The results suggest that using process model outputs as additional input features can lead to more realistic streamflow projections with LSTM models, depending on the accuracy of the process models.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Alexander Y. Karatayev, Lyubov E. Burlakova, Knut Mehler, Ashley K. Elgin, Lars G. Rudstam, James M. Watkins, Molly Wick
Summary: We conducted a study on the changes in dreissenid populations and predation by round goby in Lake Ontario over a period of three decades. The study found that dreissenid populations peaked in 2003 and then declined at depths less than 90 meters but continued to increase at deeper depths until 2018. The overall density of dreissenids in the lake also increased from 2008 to 2018, along with the average mussel lengths and biomass. The study also estimated the density of round goby in 2018 and examined its impact on mussel populations based on feeding rates. Despite indications of round goby affecting mussel recruitment, no decline in dreissenid density was found in the nearshore and mid-depth ranges where round goby has been abundant since 2005. These findings suggest that the ecological effects of dreissenid mussels are likely to persist in Lake Ontario.
JOURNAL OF GREAT LAKES RESEARCH
(2022)
Article
Environmental Sciences
D. Koutsoyiannis, A. Montanari
Summary: This study presents a new method for simulating and predicting hydrologic variables with uncertainty assessment. The method is able to infer the probability distribution of the prediction without strong hypotheses on the statistical characterization of the prediction error and transparently uses observations. This method bridges the gaps between deterministic and stochastic models, as well as between rigorous theory and innovative data usage.
WATER RESOURCES RESEARCH
(2022)
Review
Engineering, Environmental
Shreerang D. Datar, Rupali Mane, Neetu Jha
Summary: Capacitive deionization is an emerging electrochemical technique for water desalination, with extensive research being conducted on architectures and materials to enhance electrosorption performance. Asymmetric architectures with faradaic materials are found to have superior performance compared to symmetric architectures. Faradaic materials also outperform carbon-based materials. Customization of architectures and materials allows for selectivity of target components and heavy metal removal. Factors such as synthesis procedures, additives, operational modes, and fouling can affect electrosorption performance. Further research is needed to fully understand and improve the performance of capacitive deionization.
WATER ENVIRONMENT RESEARCH
(2022)
Article
Environmental Sciences
Shujie Cheng, Lei Cheng, Shujing Qin, Lu Zhang, Pan Liu, Liu Liu, Zhicheng Xu, Qilin Wang
Summary: This study utilized machine learning methods to model the hydrological partitioning parameter omega and identified the primary control factors using interpretability approaches. The research findings demonstrated regional variations in the controls of catchment properties on hydrological partitioning in Australia.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Jiehao Zhang, Yulong Zhang, Ge Sun, Conghe Song, Jiangfeng Li, Lu Hao, Ning Liu
Summary: Rapid global vegetation greening has accelerated the hydrological cycle and increased the risk of water resource shortage. The study highlights the close connection between land cover dynamics and hydrological cycle under climate variability in the Yangtze River Basin.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Wenting Yang, Di Long, Bridget R. Scanlon, Peter Burek, Caijin Zhang, Zhongying Han, James J. Butler, Yun Pan, Xiaohui Lei, Yoshihide Wada
Summary: The North China Plain has experienced groundwater overexploitation due to rapid socio-economic development and irrigation demand. The operation of the South-to-North Water Diversion Project has provided an opportunity to sustain groundwater resources. This study used a high-resolution model to simulate and project groundwater storage in the region, and found that water diversion and reductions in water use could increase groundwater storage.
WATER RESOURCES RESEARCH
(2022)
Article
Limnology
Sujay S. Kaushal, Paul M. Mayer, Gene E. Likens, Jenna E. Reimer, Carly M. Maas, Megan A. Rippy, Stanley B. Grant, Ian Hart, Ryan M. Utz, Ruth R. Shatkay, Barret M. Wessel, Christine E. Maietta, Michael L. Pace, Shuiwang Duan, Walter L. Boger, Alexis M. Yaculak, Joseph G. Galella, Kelsey L. Wood, Carol J. Morel, William Nguyen, Shane Elizabeth C. Querubin, Rebecca A. Sukert, Anna Lowien, Alyssa Wellman Houde, Anais Roussel, Andrew J. Houston, Ari Cacopardo, Cristy Ho, Haley Talbot-Wendlandt, Jacob M. Widmer, Jairus Slagle, James A. Bader, Jeng Hann Chong, Jenna Wollney, Jordan Kim, Lauren Shepherd, Matthew T. Wilfong, Megan Houlihan, Nathan Sedghi, Rebecca Butcher, Sona Chaudhary, William D. Becker
Summary: The severity and recovery chances of freshwater salinization syndrome (FSS) are influenced by various factors, including human activities, geology, flowpaths, climate, and time. These factors drive the spread of FSS across ecosystems in different stages, leading to failures in systems-level functions.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Review
Limnology
Eric C. Orenstein, Sakina-Dorothee Ayata, Frederic Maps, Erica C. Becker, Fabio Benedetti, Tristan Biard, Thibault de Garidel-Thoron, Jeffrey S. Ellen, Filippo Ferrario, Sarah L. C. Giering, Tamar Guy-Haim, Laura Hoebeke, Morten Hvitfeldt Iversen, Thomas Kiorboe, Jean-Francois Lalonde, Arancha Lana, Martin Laviale, Fabien Lombard, Tom Lorimer, Severine Martini, Albin Meyer, Klas Ove Moeller, Barbara Niehoff, Mark D. Ohman, Cedric Pradalier, Jean-Baptiste Romagnan, Simon-Martin Schroeder, Virginie Sonnet, Heidi M. Sosik, Lars S. Stemmann, Michiel Stock, Tuba Terbiyik-Kurt, Nerea Valcarcel-Perez, Laure Vilgrain, Guillaume Wacquet, Anya M. Waite, Jean-Olivier Irisson
Summary: Plankton imaging systems, supported by automated classification and analysis, have enhanced the ability of ecologists to observe aquatic ecosystems. These systems enable the collection of imaging data at unprecedented levels of spatial and temporal resolution, allowing for reliable tracking of plankton populations. Additionally, the individual images themselves contain valuable information on functional traits, which can be extracted using machine learning and computer vision techniques for further analysis and novel studies.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Environmental Sciences
Ariele Zanfei, Bruno M. Brentan, Andrea Menapace, Maurizio Righetti, Manuel Herrera
Summary: This paper proposes a novel graph convolutional recurrent neural network (GCRNN) for short-term water demand forecasting, which can capture the dependence among different water demand time series in both spatial and temporal aspects. The GCRNN outperforms the LSTM in the fault test, showing its ability to generate accurate and reliable predictions.
WATER RESOURCES RESEARCH
(2022)
Article
Limnology
Cindy Paquette, Irene Gregory-Eaves, Beatrix E. Beisner
Summary: Canada has a fragmented understanding of the ecological status of its lakes, which are home to many bioindicators called zooplankton. Factors like lake morphometry and water quality significantly influence the diversity and composition of zooplankton communities. The effect of environmental drivers on zooplankton varies across different continental watersheds in Canada.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Limnology
Maciej T. Tomczak, Barbel Mueller-Karulis, Thorsten Blenckner, Eva Ehrnsten, Margit Eero, Bo Gustafsson, Alf Norkko, Saskia A. Otto, Karen Timmermann, Christoph Humborg
Summary: This study analyzed the historical changes and ecological regime shifts in the Baltic Sea ecosystem. The research found that the Baltic Sea ecosystem shifted from a benthic to pelagic-dominated state in the long term, with productivity, climate, and hydrography having a significant impact on the food web functioning.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Limnology
Catherine E. Lovelock, M. Fernanda Adame, Don W. Butler, Jeffrey J. Kelleway, Sabine Dittmann, Benedikt Fest, Karen J. King, Peter Macreadie, Katherine Mitchell, Mark Newnham, Anne Ola, Christopher J. Owers, Nina Welti
Summary: The study found that data from natural mangroves can be used to estimate carbon accumulation during mangrove restoration. Modeling mangrove biomass and soil carbon accumulation allows for predictions in heterogeneous project sites.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
