Review
Fisheries
Zhixin Liu, Jiayi Xu, Mingzhe Liu, Zhengtong Yin, Xuan Liu, Lirong Yin, Wenfeng Zheng
Summary: Currently, many cities are dealing with serious water resource issues caused by urbanization. Remote sensing and geostatistics have been widely used in urban water resource monitoring with the advancements in technology. The aim of this study is to review the application of remote sensing and geostatistics in monitoring urban water resources and discuss their further development. The research methods involve bibliometric analysis of existing literature in this field, and exploration of the use of remote sensing and geostatistics in improving urban water resource monitoring capacity. The study concludes that remote sensing and geostatistics can greatly enhance the monitoring capacity of urban water resources, leading to more efficient utilization.
MARINE AND FRESHWATER RESEARCH
(2023)
Article
Fisheries
Xiaolei Zhu, Ziyi Xu, Zhixin Liu, Mingzhe Liu, Zhengtong Yin, Lirong Yin, Wenfeng Zheng
Summary: This study evaluates the impact of large-scale dam construction on regional precipitation, and finds that dam construction increases the precipitation values.
MARINE AND FRESHWATER RESEARCH
(2023)
Article
Environmental Sciences
Hongren Shen, Bryan A. Tolson, Juliane Mai
Summary: This study empirically assesses how different data splitting methods influence post-validation model testing period performance in hydrological modeling. The findings suggest that calibrating to older data and then validating models on newer data produces inferior model testing period performance, while calibrating to the full available data and skipping model validation is the most robust split-sample decision. The experimental findings remain consistent across different factors and strongly support revising the traditional split-sample approach in hydrological modeling.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Chuanjun Zhan, Zhenxue Dai, Mohamad Reza Soltanian, Felipe P. J. de Barros
Summary: Reliable characterization of subsurface structures is crucial for earth sciences and related applications. Data assimilation-based identification frameworks, coupled with non-isothermal flow and transport simulations, can accurately estimate subsurface structures using available observations. Results show that including dynamic observations improves structure identification and reduces uncertainty. Furthermore, the deep learning-based framework outperforms stochastic methods in accurately identifying subsurface structures.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Bryn Stewart, James B. Shanley, James W. Kirchner, David Norris, Thomas Adler, Caitlin Bristol, Adrian A. Harpold, Julia N. Perdrial, Donna M. Rizzo, Gary Sterle, Kristen L. Underwood, Hang Wen, Li Li
Summary: The shallow and deep hypothesis suggests that stream CQ relationships are influenced by source waters from different depths. This study provides evidence supporting this hypothesis by analyzing soil water, groundwater, and streamwater chemistry at two monitored sites. The findings indicate that solutes at different depths exhibit different concentration patterns with increasing discharge, consistent with the hypothesis.
WATER RESOURCES RESEARCH
(2022)
Article
Limnology
Marc Picheral, Camille Catalano, Denis Brousseau, Herve Claustre, Laurent Coppola, Edouard Leymarie, Jerome Coindat, Fabio Dias, Sylvain Fevre, Lionel Guidi, Jean Olivier Irisson, Louis Legendre, Fabien Lombard, Laurent Mortier, Christophe Penkerch, Andreas Rogge, Catherine Schmechtig, Simon Thibault, Thierry Tixier, Anya Waite, Lars Stemmann
Summary: Autonomous and cabled ocean platforms are transforming our understanding of marine systems by providing 4D monitoring of the water column beyond the reach of ship-based surveys. The new UVP6 camera is capable of monitoring large particulate matter and plankton on autonomous platforms, providing data of comparable quality to larger sensors.
LIMNOLOGY AND OCEANOGRAPHY-METHODS
(2022)
Article
Limnology
Cayelan C. Carey, Whitney M. Woelmer, Mary E. Lofton, Renato J. Figueiredo, Bethany J. Bookout, Rachel S. Corrigan, Vahid Daneshmand, Alexandria G. Hounshell, Dexter W. Howard, Abigail S. L. Lewis, Ryan P. McClure, Heather L. Wander, Nicole K. Ward, R. Quinn Thomas
Summary: Short-term ecological forecasts with quantified uncertainty have the potential to improve lake and reservoir management by helping managers make decisions today to prevent or mitigate future water quality issues. Developing and running forecasting systems requires integrating interdisciplinary expertise to ensure forecasts are embedded into decision-making workflows.
Article
Environmental Sciences
Shijie Jiang, Yi Zheng, Chao Wang, Vladan Babovic
Summary: This study demonstrates the potential of interpretive deep learning in gaining scientific insights in hydrological modeling. By using two interpretation methods, the study reveals the different flood-inducing mechanisms learned by LSTM-based runoff models and how the LSTM network behaves in emulating different types of floods. It provides a new perspective for understanding hydrological processes and extremes and demonstrates the prospect of artificial intelligence-assisted scientific discovery in the future.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Liang-Chi Wang, Yu-Min Chou, Huei-Fen Chen, Yuan-Pin Chang, Hong-Wei Chiang, Tien-Nan Yang, Liang-Jian Shiau, Yue-Gau Chen
Summary: The study reconstructs the late Holocene paleoenvironment and paleo-typhoon records in eastern Taiwan using sediment cores from two lakes. It shows an increase in East Asia summer monsoon strength since 1600 years ago and evidence of changes in land use over the past 200 years. Both lake records suggest an increase in typhoon intensity during the early and late Little Ice Ages.
JOURNAL OF PALEOLIMNOLOGY
(2022)
Article
Limnology
Patricia M. Glibert, Aditee Mitra
Summary: The emerging research on mixoplankton is reshaping our understanding of material and energy flow in the ocean, and has wide-ranging impacts on marine ecosystems and sustainability. As our knowledge of marine microbes and their interactions increases, traditional linear models of microbial interactions are being replaced by more complex and interconnected models.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Letter
Limnology
Robert Ladwig, Linnea A. Rock, Hilary A. Dugan
Summary: Anthropogenic freshwater salinization affects lake stratification and spring mixing, delaying the mixing process and increasing water column stability, which has significant implications for oxygenation of bottom waters, biogeochemistry, and lake habitability.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Limnology
Mariana Meerhoff, Joachim Audet, Thomas A. Davidson, Luc De Meester, Sabine Hilt, Sarian Kosten, Zhengwen Liu, Nestor Mazzeo, Hans Paerl, Marten Scheffer, Erik Jeppesen
Summary: This article summarizes the latest advancements in the understanding of the interaction between eutrophication and climate change, with a focus on shallow lakes. Climate change can influence nutrient loading and impact biotic communities, leading to increased eutrophication and the emission of greenhouse gases. The article also highlights the potential feedback among eutrophication, cyanobacterial blooms, and climate change.
Article
Limnology
Danielle A. Greco, Shelley E. Arnott, Isabelle B. Fournier, Brandon S. Schamp
Summary: Increasing chloride concentrations pose a threat to freshwater zooplankton, and current water quality guidelines do not adequately protect these organisms. Nutrient context may influence the response of phytoplankton and protists.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Environmental Sciences
Kun Zhang, Xin Li, Donghai Zheng, Ling Zhang, Gaofeng Zhu
Summary: This study proposes a comprehensive framework to estimate global irrigation water use (IWU) by integrating multiple satellite observations. The results show that the integrated IWU estimate outperforms individual satellite observations, but there is a general underestimation of IWU globally. Further efforts are needed to improve the accuracy of global IWU estimation by producing high-quality and finer spatiotemporal resolution satellite-based products.
WATER RESOURCES RESEARCH
(2022)
Article
Limnology
Dan A. Smale, Albert Pessarrodona, Nathan King, Pippa J. Moore
Summary: Kelp forests are highly productive ecosystems, with high detritus release rates leading to over 98% export potential, which can potentially shape distant benthic communities and play a significant role in the coastal carbon cycle.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Limnology
Marie-Pier Hebert, Celia C. Symons, Miguel Canedo-Arguelles, Shelley E. Arnott, Alison M. Derry, Vincent Fugere, William D. Hintz, Stephanie J. Melles, Louis Astorg, Henry K. Baker, Jennifer A. Brentrup, Amy L. Downing, Zeynep Ersoy, Carmen Espinosa, Jaclyn M. Franceschini, Angelina T. Giorgio, Norman Gobeler, Derek K. Gray, Danielle Greco, Emily Hassal, Mercedes Huynh, Samuel Hylander, Kacie L. Jonasen, Andrea Kirkwood, Silke Langenheder, Ola Langvall, Hjalmar Laudon, Lovisa Lind, Maria Lundgren, Alexandra McClymont, Lorenzo Proia, Rick A. Relyea, James A. Rusak, Matthew S. Schuler, Catherine L. Searle, Jonathan B. Shurin, Christopher F. Steiner, Maren Striebel, Simon Thibodeau, Pablo Urrutia Cordero, Lidia Vendrell-Puigmitja, Gesa A. Weyhenmeyer, Beatrix E. Beisner
Summary: This study conducted a large-scale mesocosm experiment across multiple sites in North America and Europe to investigate the response of lake zooplankton communities to varying chloride concentrations. The findings suggest that crustaceans are more sensitive to elevated chloride levels than rotifers, and that there is a consistent decrease in abundance and taxon richness with increasing salinity across different taxonomic groups. However, functional diversity shows a weaker loss compared to taxonomic diversity.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Limnology
Emma R. Moffett, Henry K. Baker, Christine C. Bonadonna, Jonathan B. Shurin, Celia C. Symons
Summary: Road salt runoff causes salinization of freshwaters, with significant impacts on aquatic species. The experiment revealed that salt addition increased zooplankton biomass and reduced phytoplankton biomass. Zooplankton showed a salt-limited response at low ionic concentrations, and salinity primarily affected phytoplankton biomass through top-down regulation by grazers.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Limnology
Daniel J. Coleman, Mark Schuerch, Stijn Temmerman, Glenn Guntenspergen, Christopher G. Smith, Matthew L. Kirwan
Summary: This study combines data from marshes along the U.S. Atlantic Coast and around the world to show that 70% of variability in marsh accretion rates can be explained by suspended sediment concentration and tidal range. The results help bridge the gap between models and measurements and confirm that sediment supply is the key determinant of wetland vulnerability at continental scales.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2022)
Article
Environmental Sciences
Wenxiang Xu, Kaixing Zhang, Yufeng Zhang, Jinyang Jiang
Summary: In this study, the influence of the geometrical and topological configurations of particles on the pore tortuosity and permeability of granular-porous media is investigated. A relaxation iteration scheme and a direction-guided rapidly exploring random tree algorithm are developed to study the effects of particle shape, fineness, and size distribution on the random packing fraction of particles. By comparing with experimental, theoretical, and numerical results, the proposed methods accurately predict the tortuosity and permeability. Furthermore, the impact of particle packing fraction, shape, fineness, and size distribution on the pore tortuosity and permeability is evaluated. The results have important implications for various scientific disciplines, including the properties of rocks, sandstones, and soils, as well as the design of ultra-high performance concrete.
WATER RESOURCES RESEARCH
(2022)
Article
Limnology
Mary Ann Moran, Frank X. Ferrer-Gonzalez, He Fu, Brent Nowinski, Malin Olofsson, McKenzie A. Powers, Jeremy E. Schreier, William F. Schroer, Christa B. Smith, Mario Uchimiya
Summary: Microbes in the surface ocean play a crucial role in releasing, consuming, and exchanging labile metabolites at short time scales. However, the details of this process in the global carbon cycle are not well understood due to methodological challenges. A new compilation of published data suggests that approximately half of the ocean's net primary production is processed through the labile dissolved organic carbon (DOC) pool, with contributions from living phytoplankton, dead and dying phytoplankton, and heterotrophic microbes and mesoplankton.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
