Article
Marine & Freshwater Biology
Qingchuan Chou, Anders Nielsen, Tobias K. Andersen, Fenjuan Hu, Weiyu Chen, Te Cao, Leyi Ni, Martin Sondergaard, Liselotte S. Johansson, Erik Jeppesen, Dennis Trolle
Summary: The study used a sophisticated model to quantify the impacts of extreme summer warming on a temperate Danish lake. Results showed that with increasing summer heat wave frequencies, there will be changes in the lake’s ecosystem state, such as a decrease in summer surface mean TN and an increase in summer surface mean TP and Chl.-a. The study suggests that compliance with existing legislation, such as EU's Water Framework Directive, will become increasingly challenging in future scenarios with increased temperatures and more frequent heatwaves.
Article
Green & Sustainable Science & Technology
Xiaoxin Zhang, Yujun Yi, Ying Yang, Hongxi Liu, Zhifeng Yang
Summary: This study quantified the total phosphorus loading to Lake Baiyangdian in northern China and assessed future trends and trophic state implications. Results show that under different socioeconomic scenarios, TP loading will increase only in the fragmentation scenario by 2050, mainly due to animal manure discharge. It is crucial to avoid eutrophication and restore oligotrophic state by reducing direct discharge of animal manure and increasing TP removal rates, especially in rural areas.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Biodiversity Conservation
Alena S. Gsell, Sven Teurlincx, Rita Adrian, Annette B. G. Janssen
Summary: Shallow lakes often experience sudden shifts between clear and turbid states, posing a challenge for lake managers. Early-warning indicators (EWIs) have been effective in theoretical models but less so in real-world data, suggesting a need for better measurement strategies. This study uses simulated data to test the effect of different sampling intervals on the detection of EWIs, and suggests high-frequency measurements of easily measurable variables or integrated approaches for lake managers.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Qingchuan Chou, Anders Nielsen, Tobias K. Andersen, Fenjuan Hu, Weiyu Chen, Xiaolin Zhang, Te Cao, Leyi Ni, Erik Jeppesen, Dennis Trolle
Summary: This study assessed the impacts of external nutrient loading on a reservoir in China using a complex model and found that strict control of external nutrient loading is crucial for maintaining good water quality.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Ecology
Chen Zhang, Zixuan Zhu, Maria Spoljar, Natalia Kuczynska-Kippen, Tvrtko Drazina, Matija Cvetnic, Miroslaw Mleczek
Summary: This study constructed a one-dimensional lake ecology model to evaluate the dynamic effects of zooplankton in small water bodies under warming climates. Results showed that warming led to a decline in zooplankton biomass in Northern European lakes, while nutrient input had a significant impact on zooplankton biomass.
ECOLOGICAL MODELLING
(2022)
Article
Multidisciplinary Sciences
Shufang Song, Lu Wang
Summary: Global sensitivity analysis is an important tool to evaluate the influence of input variables across their distribution range. The novel global sensitivity measure based on probability weighted moments provides more information and can be accurately estimated, showing clear advantages in various numerical and engineering examples.
Article
Chemistry, Multidisciplinary
Xingyu Li, Ying Lei, Lijun Liu
Summary: The study presents a computationally efficient MII analysis method to investigate uncertain parameters in the seismic demands of bridges, utilizing several sampling points and their weights to obtain statistical moments and employing the shifted generalized lognormal distribution method to estimate probability density functions. The proposed method allows for estimation of uncertain parameters with just several nonlinear time history analyses at point-estimate sampling points, providing results comparable to Monte Carlo simulation.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Bo Qin, Xiangzhen Kong, Rong Wang, Yanjie Zhao, Xiangdong Yang
Summary: This study used paleolimnological records and modeling to evaluate the recovery time of Lake Taibai in China under different nutrient reduction and climate change scenarios. Results indicated that lake restoration would take 10-20 years, and global warming would impede the effectiveness of nutrient reduction and decrease vegetation restoration levels.
JOURNAL OF PALEOLIMNOLOGY
(2022)
Article
Environmental Sciences
Chunqi Shen, Qian Liao, Harvey A. Bootsma, Brenda Moraska Lafrancois
Summary: The invasion of dreissenid mussels has had a significant impact on the physical environment and nutrient cycling of the Great Lakes, leading to the resurgence of filamentous green algae. The deposition of sloughed algae deteriorates water quality, pollutes recreational beaches, and contributes to avian botulism outbreaks. A model was developed to track the transport of algae fragments and determine their fate. The model revealed that the primary deposition sites were at mid-depth locations, with Platte Bay's shoreline beach being particularly vulnerable to fouling.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Agronomy
Liguo Zhou, Xiang Zhang, Yiping Zhang, Qinghai Song, Sai Tay Zar Myo, Ruiwu Zhou, Youxing Lin, Yuntong Liu, Kechen Bai, Palingamoorthy Gnanamoorthy, D. Balasubramanian
Summary: Studies have shown that tropical rainforests are sensitive to drought, resulting in decreased photosynthetic capacity and increased mortality. However, research on the impact of occasional droughts is insufficient as rainforests tend to recover within a few years. In a study conducted on the Xishuangbanna rainforest in Asia, extensive damage was observed after six years of drought treatment. The carbon pool of plants decreased significantly, while soil carbon accumulated. Drought also reduced the number of seedlings per unit area. The results suggest that the long-term impact of drought on rainforests is significant, highlighting the need to reassess the long-term drought sensitivity of forest ecosystems.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Biodiversity Conservation
Haiwei Fu, Yudi Yan
Summary: The Mountain-River-Forest-Cropland-Lake-Grassland System Project has improved the ecological environment along the Yangtze River. This study quantified the effects of the project using ecosystem services value and analyzed the variation of ecosystem services value in different downtown areas of Xianning City over the years 2000, 2010, and 2020. The results showed that the project led to increased forest, grassland, wetland, and water body areas, while cropland and built-up areas decreased in downtown Jiayu.
ECOLOGICAL INDICATORS
(2023)
Article
Computer Science, Interdisciplinary Applications
Pierre Derennes, Jerome Morio, Florian Simatos
Summary: This paper focuses on the estimation of failure probability in rare event analysis. It provides a common estimation scheme of two complementary moment independent sensitivity measures to improve the understanding of the system's rare event. Numerical applications demonstrate the effectiveness of the proposed estimation procedure.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Ecology
Can Zhang, Xiangzhen Kong, Bin Xue, Cheng Zhao, Suzanne McGowan, Qi Lin, Ke Zhang, Ji Shen
Summary: This study investigates the impact of large-scale forest restoration and soil erosion reduction on the ecological dynamics of a strategically chosen alpine lake from the Loess Plateau in northern China. The results show that despite a decline in nutrient levels, the lake ecosystem has experienced significant shifts since 2000, characterized by increased algal proliferation and community changes. The study emphasizes the unexpected algal proliferation when nutrient levels decline and calls for the consideration of other compound factors.
FRESHWATER BIOLOGY
(2023)
Article
Energy & Fuels
Sinan Xiao, Timothy Praditia, Sergey Oladyshkin, Wolfgang Nowak
Summary: Global sensitivity analysis is conducted to identify the impact of uncertain parameters on the outputs of a thermochemical energy storage model, aiming to better understand predictive uncertainties and streamline uncertainty quantification efforts.
Article
Environmental Sciences
Liru Yang, Yongxiang Liu, Wei Yang, Xiaolong Su, Qinmu Shen
Summary: This study proposes a parameter estimation method based on the origin moment derivative, which can achieve 100% estimation efficiency, improve estimation accuracy, and avoid the situation where the estimated value of the shape parameter is less than 0. The same method can also be applied to estimate parameters in other two-parameter models, such as log-normal and Weibull distributions.
Article
Marine & Freshwater Biology
Inge Christensen, Lisbeth Kjaereby Pedersen, Martin Sondergaard, Torben L. Lauridsen, Sh Tserenpil, Katherine Richardson, Cihelio A. Amorim, Juan Pablo Pacheco, Erik Jeppesen
Summary: This study provides experimental evidence for the significant grazing effect of zooplankton on phytoplankton in brackish lakes, especially at low fish density and salinities below 8 parts per thousand. However, grazing in summer was generally low in most lakes, likely due to high predation pressure on zooplankton.
Article
Environmental Sciences
Han Yang, Mu Xu, Liqing Wang, Xianyun Wang, Erik Jeppesen, Wei Zhang
Summary: Comprehensive studies on the effects of physical and chemical variables, including heavy metals, antibiotics, and microorganisms, on antibiotic resistance genes are rare. This study assessed the spatial distribution of sediment ARGs and identified key variables affecting their abundance. The findings provide new insights into the occurrence and transmission of antibiotic resistance.
JOURNAL OF ENVIRONMENTAL SCIENCES
(2023)
Article
Environmental Sciences
John Boyle, Madeleine Moyle, Martin Sondergaard, Erik Jeppesen
Summary: A study found that the Sediment-Inferred lake-water Total Phosphorous (SI-TP) mass balance model can successfully reconstruct long-term mean lake-water total phosphorus (TP) concentrations in lakes with dominant external phosphorus supply. However, its applicability in lakes with high internal phosphorus loading, where sediment diagenesis degrades the sediment phosphorus record, has not been demonstrated. The study tested the SI-TP model in Lake Sobygaard in Denmark, which has high internal P loading, and observed sediment degradation. The resulting SI-TP record was similar to the monitored TP values, indicating the model's potential for wider application in lakes with high internal P loading.
JOURNAL OF PALEOLIMNOLOGY
(2023)
Article
Environmental Sciences
Adrian Lopez-Ballesteros, Dennis Trolle, Raghavan Srinivasan, Javier Senent-Aparicio
Summary: Coastal lagoons, such as the Mar Menor in Spain, are highly vulnerable to pollution from human activities. This study used the SWAT model to analyze potential solutions for the environmental degradation of the Mar Menor lagoon. The combination of best management practices, including vegetative filter strips and contour farming, showed the most effective results in reducing nutrient and sediment loads.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Agronomy
Camilla Geels, Steen Gyldenkaerne, Tavs Nyord, Hans Estrup Andersen, Eugenio Molina-Navarro, Dennis Trolle, Hans Thodsen, Jesper L. Bak, Maria Theresia Konrad, Berit Hasler, Kaj M. Hansen, Jesper H. Christensen, Karen Timmermann
Summary: Manure acidification is introduced to reduce NH3 emissions and protect environments, but if fertilizer application rate is not adjusted, it may lead to nitrogen leaching and harm to ecosystems.
Article
Engineering, Environmental
Xiangzhen Kong, Maria Determann, Tobias Kuhlmann Andersen, Carolina Cerqueira Barbosa, Tallent Dadi, Annette B. G. Janssen, Ma. Cristina Paule-Mercado, Diego Guimaraes Florencio Pujoni, Martin Schultze, Karsten Rinke
Summary: Phosphorus (P) precipitation is an effective method to mitigate lake eutrophication, but it can lead to re-eutrophication and harmful algal blooms. The role of lake warming and its synergistic effects with internal loading have been understudied.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Marine & Freshwater Biology
Erik Jeppesen, Thomas A. Davidson, Mariana Meerhoff, Luc De Meester, Ivan Gonzalez-Bergonzoni, Nicolas Vidal, Hartmut Arndt, Klaus Juergens, Ruben Sommaruga, Korhan Ozkan, Torben L. Lauridsen, Sh Tserenpil
Summary: With the retreat of glaciers, new ponds and lakes are formed, which become more productive as vegetation develops. Our study in West Greenland found that older lakes had higher nutrient concentrations and organic matter content, as well as higher biomass and richness of certain aquatic organisms. The food web in the older lakes was more complex, with a longer food chain and higher taxonomic diversity, suggesting a succession process following glacial retreat.
Article
Environmental Sciences
Arely Ramirez-Garcia, Erik Jeppesen, Rodrigo Moncayo-Estrada, Norman Mercado-Silva, Omar Dominguez-Dominguez
Summary: Analyses of trophic structure and feeding habits provide insight into biotic and abiotic interactions in lake ecosystems. This study conducted a comprehensive analysis of the diet and trophic structure of fish in Lake Zacapu in central Mexico. The results show that fish primarily consume aquatic macroinvertebrates and exhibit a low trophic position. The study also found that diet overlap is greater between native species. The findings contribute to our understanding of trophic interactions and highlight the ecological importance of this subtropical lake.
Article
Environmental Sciences
Andreas S. Berthelsen, Katrine Raundrup, Peter Gronkjaer, Erik Jeppesen, Torben L. Lauridsen
Summary: This study aimed to investigate the impact of habitat and lake morphometry on the trophic position of Arctic char in food webs. The dietary preferences of landlocked Arctic char populations in two west Greenland lakes were studied using stomach content and stable isotope analyses. The results showed that smaller char in Badeso lake consumed less littoral macroinvertebrates compared to those in Langeso lake. The larger char in both lakes primarily fed on piscivorous diet.
Article
Environmental Sciences
Thomas Boll, Seyda Erdogan, Ummuhan Aslan Bicki, Nur Filiz, Arda Ozen, Eti Ester Levi, Sandra Brucet, Erik Jeppesen, Meryem Beklioglu
Summary: This study explored the key variables controlling size diversity, geometric mean length and number of size classes in fish communities in Turkish lakes, and investigated their relationships with taxonomic diversity and richness. The results showed that size diversity and the number of sizes were strongly related to taxonomic diversity and richness. Fish size diversity decreased with annual precipitation, while the number of size classes increased with lake area but decreased with salinity. Geometric mean length of fish decreased with nitrogen and increased with altitude. The inter-relatedness between the number of size classes and lake area suggests an increase in fish niches with increasing ecosystem size, while fish are smaller and have fewer size classes in lakes with higher salinity. The study concludes that size measures provide valuable information on lake fish diversity, complementing traditional taxonomic measures.
Article
Environmental Sciences
Mustafa Korkmaz, Fatih Mangit, Ilayda Dumlupinar, Mehmet Arda Colak, Mustafa Berkay Akpinar, Meltem Koru, Juan Pablo Pacheco, Arely Ramirez-Garcia, Gueltekin Yilmaz, Cihelio Alves Amorim, Ibrahim Kaan Ozgencil, Deniz Innal, Sedat Vahdet Yerli, Korhan Ozkan, Zuhal Akyurek, Meryem Beklioglu, Erik Jeppesen
Summary: Climate change is causing significant impact on freshwater ecosystems, especially in semi-arid and arid regions like the Central Anatolian Ecoregion (CAE) in Turkiye. A study on endemic fish species in CAE predicted that half of the species will lose suitable habitats by 2081-2100 under high emissions scenario, while some species may benefit from climate warming. Human activities, such as water abstraction and pollution, are already threatening the endemic fish populations in CAE, and climate change is expected to worsen these threats. Regular monitoring and protection from anthropogenic stressors are essential for conserving these endemic freshwater fishes under climate change.
Article
Environmental Sciences
Jonathan P. Lewis, David B. Ryves, Martin Sondergaard, Torben Linding Lauridsen, Lisolette Sander Johansson, Sh. Tserenpil, Peter Rasmussen, Erik Jeppesen
Summary: Many northwest European lake systems are being affected by eutrophication and poor management strategies. This study examines the environmental changes in Kilen, a brackish lake in Denmark, using paleolimnological data and environmental monitoring data from the past 100 years. The findings show that the lake has been nutrient-rich, with eutrophication peaking in the late 1990s. The study emphasizes the importance of reducing nutrient loads to ensure long-term recovery of the lake.
Article
Environmental Sciences
Rosemberg Fernandes Menezes, Jens-Christian Svenning, Hui Fu, Luc De Meester, Torben Linding Lauridsen, Martin Sondergaard, Jose Maria Conde-Porcuna, Erik Jeppesen
Summary: The beta diversity of lakes is influenced by natural factors, dispersal constraints, and human disturbances. Fish beta diversity tends to increase towards lower latitudes and is higher in less disturbed lakes at a local scale. However, environmental disturbances can impact these patterns due to community homogenization or heterogenization. Factors such as geographic distance and climate variability are the main drivers of fish community change across latitude, but the rate of change varies between lake types. Local factors like turbidity, lake size, and presence of exotic species also have varying effects on beta diversity across regions.
Editorial Material
Environmental Sciences
Erik Jeppesen, Meryem Beklioglu, Egor Zadereev
Article
Environmental Sciences
Korhan Ozkan, Mustafa Korkmaz, Cihelio Alves Amorim, Gultekin Yilmaz, Meltem Koru, Yasemin Can, Juan Pablo Pacheco, Vildan Acar, Mehmet Arda Colak, Gul Canan Yavuz, Lucia Cabrera-Lamanna, Onat Arikan, Oyku Tanriverdi, Serhat Ertugrul, Irem Gamze Arik, Hande Nesli, Ilker H. Tunur, Burak Kuyumcu, Zuhal Akyurek, Can Ozen, Meryem Beklioglu, Erik Jeppesen
Summary: Salinization of freshwater ecosystems caused by climate change and water abstraction for agriculture is a major challenge. Understanding how aquatic ecosystems respond to salinization is crucial for climate change adaptation, especially in arid areas. Experimental mesocosm facilities were established in Turkey to examine the effects of salinization and climate change on shallow lake ecosystems. The experiments showed that salinization, modulated by climate, significantly impacted the structure and function of lake ecosystems. The design of the mesocosm facilities, basic results, and recommendations for conducting mesocosm experiments under saline/hypersaline conditions are presented.
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)
