Article
Environmental Sciences
Yuki Hiruta, Lu Gao, Shuichi Ashina
Summary: The demand for electricity affects the future climate through greenhouse gas emissions, while climate change impacts electricity demand by changing the need for heating and cooling. Developing reliable temperature response functions (TRFs) is crucial for improving future climate projections and assessing the impact of climate change on energy systems. However, determining TRFs is challenging due to the complex interactions between multiple factors affecting electricity demand. This study proposes a novel method using comprehensive modeling of electricity demand fluctuations to obtain reliable TRFs.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Angel Lopez-Oriona, Jose A. Vilar
Summary: This study proposes a novel approach to measure dissimilarity between multivariate time series, developing a reliable clustering procedure capable of effectively distinguishing high-level dependence structures. Extensive simulation research and real data applications have demonstrated that the proposed method outperforms other alternatives, showing computational efficiency and robustness.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Geosciences, Multidisciplinary
Flavio Lehner, Sloan Coats
Summary: Many aspects of climate change scale linearly with global warming, but non-linear changes are possible in the context of hydroclimate. The uncertainty in climate model responses to anthropogenic factors such as greenhouse gases and aerosols can impact regional hydroclimate projections as global temperatures stabilize.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Geun-Hyeok Hong, Kwang-Hyeon Chang, Hye-Ji Oh, Yerim Choi, Sarang Han, Hyun-Gi Jeong
Summary: By analyzing the seasonal, trend, and random components derived from the classical decomposition method of zooplankton abundance and related environmental factors, this study provided more precise results and higher explanatory power for the correlations between rotifer communities and environmental factors. Results demonstrated that the explanatory power of redundancy analysis was higher when using the three time series components than when using undecomposed abundance data.
Article
Environmental Sciences
K. G. Kiran, V. V. Srinivas
Summary: This article introduces two novel methodologies based on random/regression forests for regional flood frequency analysis using partial duration series. The use of partial duration series offers advantages compared to annual maximum series. Through Monte-Carlo simulation experiments and a study on over 1,000 watersheds in the United States, the potential of these methodologies relative to other techniques is demonstrated.
WATER RESOURCES RESEARCH
(2021)
Article
Multidisciplinary Sciences
Axel Wismueller, Adora M. Dsouza, M. Ali Vosoughi, Anas Abidin
Summary: The study introduces a new method, lsNGC, that can identify causal relationships from limited observational data without explicit a priori assumptions of functional interdependence between component time series.
SCIENTIFIC REPORTS
(2021)
Article
Fisheries
Ryan C. Grow, Kyle D. Zimmer, Jennifer L. Cruise, Simon K. Emms, Loren M. Miller, Brian R. Herwig, David F. Staples, Angela R. Tipp, Greta M. Gerdes, Peter C. Jacobson
Summary: Cisco populations are affected by climate change and lake eutrophication, resulting in changes in habitat use, genetic diversity, diets, and isotopic niche. The study highlights the importance of water temperature and dissolved oxygen in influencing cisco behavior and biology. Understanding these responses can help in predicting the impacts of climate change and eutrophication on other cold-water species.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2022)
Article
Multidisciplinary Sciences
Ravi Kumar Guntu, Ankit Agarwal
Summary: The study investigates the historical variations of compound dry and hot extremes and compound wet and cold extremes during the Indian summer monsoon period. Results show an increase or decrease in the frequency of compound extremes in specific regions of India in recent years.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Multidisciplinary
Alina Barbulescu
Summary: In this study, the evolution of temperature series in the Dobrogea region, Romania, was investigated using different statistical tests. The results showed increasing trends in minimum and maximum temperatures in the region. Two algorithms proposed by the author were used to select representative series at the regional scale, and these series performed well compared to the series from the ROCADA database.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Ibor Sabas, Alexandre Miro, Jaume Piera, Jordi Catalan, Lluis Camarero, Teresa Buchaca, Marc Ventura
Summary: Thermal variables play a crucial role in biological processes in lakes and ponds, with factors like altitude, lake area, and catchment morphology impacting temperature variations. Statistical models developed in the study were used to scale up thermic conditions across the whole set of lakes and ponds in the Pyrenees.
Article
Engineering, Environmental
Seyyed M. H. Abtahi, Ojaswi Aryal, Niveen S. Ismail
Summary: Our study found that both food abundance, food type, and temperature have significant impacts on the clearance rate of zooplankton in removing E. coli, with a significant interaction between temperature and food abundance. This highlights the importance of studying multiple environmental variables when considering the contributions of zooplankton in filtration.
ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Yawen Chen, Fengqian Ding, Linbo Zhai
Summary: This paper proposes a novel graph neural network model for multivariate time series prediction. The model extracts time-domain features at different time scales using empirical modal decomposition, constructs associations between nodes using multi-head attention mechanism and graph convolutional neural network, and achieves accurate prediction for multivariate time series.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Xianli Wu, Huchang Liao, Ming Tang
Summary: With the increasing popularity of Internet-related techniques, decision-making problems with large-scale alternatives from multiple online platforms have become hot topics. This study introduces a multivariate time-series-based decision-making method to solve the problem, and demonstrates its effectiveness through real ratings collected from film-review websites.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Ecology
Carolina Blefari Batista, Isaac Passos de Lima, Marcos Robalinho Lima
Summary: Environmental and spatial factors are important predictors of beta diversity patterns, but the scale of analysis affects the outcomes. This study showed that beta diversity patterns in bat species composition change with scale, highlighting the importance of analyzing beta diversity at different scales to understand the influence of environmental dissimilarity on species distribution patterns across geographical space.
JOURNAL OF BIOGEOGRAPHY
(2021)
Article
Computer Science, Artificial Intelligence
Yunbo Tang, Dan Chen, Yiping Zuo, Xiaoqiang Lu, Rajiv Ranjan, Albert Y. Y. Zomaya, Quanming Yao, Xiaoli Li
Summary: Multivariate time series data represent the evolving processes of the system(s) under examination in a multi-view manner. Factorization methods have the potential for analyzing such data by constructing structural features and correlating different attributes. However, challenges arise in deriving factors due to the scattered distribution and interferences/outliers in the data. The Enhanced Bayesian Factorization approach addresses these challenges through variant scale partitioning, hierarchical Bayesian model for tensor factorization, and Bayesian unification model.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Biodiversity Conservation
Chloe Vagnon, Franck Cattaneo, Jean Guillard, Victor Frossard
Summary: Identifying the trophic attributes of cooccurring invaders is essential for understanding and managing their impacts. This study used an allometric niche model to predict the trophic attributes of two invasive species in Lake Bourget, France. Both invaders were found to compete for resources and exert predatory pressure on resident species, highlighting the need for management actions.
BIOLOGICAL INVASIONS
(2022)
Article
Fisheries
Arthur Blanluet, Sven Gastauer, Franck Cattaneo, Chloe Goulon, David Grimardias, Jean Guillard
Summary: With the increasing demand for hydroelectric energy, there is a significant rise in the number of reservoirs worldwide. These reservoirs, constructed on uncut forests, often have many trees submerged in the water, hindering fish assessments. To address this issue, researchers have developed a method to discriminate fish schools from immersed trees in reservoirs.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2022)
Article
Fisheries
Chloe Vagnon, Simon Bazin, Franck Cattaneo, Chloe Goulon, Jean Guillard, Victor Frossard
Summary: The European catfish (Silurus glanis) in large peri-alpine lakes primarily relies on littoral resources but also consumes prey from pelagic and deep benthic habitats. Individual diet variations are mostly reflected in stomach contents, supporting opportunistic trophic behavior. Body size has minimal impact on the catfish's diet, indicating that ontogeny does not strongly shape its feeding habits. This study highlights the feeding plasticity of the European catfish and its ability to exploit resources from different habitats in peri-alpine lakes.
ECOLOGY OF FRESHWATER FISH
(2022)
Article
Fisheries
Clement Rautureau, Chloe Goulon, Jean Guillard
Summary: Fishery acoustics is a reliable method commonly used in scientific studies and monitoring surveys. The EK60 and EK80 echo-sounders from Simrad have been widely used in Europe. This study tested the hypothesis that there were no statistically significant differences in target strength (TS) recorded by the EK60 and EK80 systems. While some differences were found, they were not large enough to affect fish density for management or research purposes. Therefore, switching from the EK60 to the EK80 for lake ecosystem research and monitoring is feasible.
FISHERIES RESEARCH
(2022)
Article
Environmental Sciences
Patrice Brehmer, Marc Soria, Viviane David, Pablo Ivan Caballero Pinzon, Pascal Bach, Ndague Diogoul, Jean Guillard
Summary: High-resolution multibeam sonar can estimate the movements of pelagic fish schools at short range. By calculating a Straightness Index, we can quantify the proportion of actively migrating fish schools compared to those residing in lagoon channels. This enhances our understanding of fish school displacements and migration processes, which are crucial for understanding ecosystem functioning.
Article
Fisheries
Chloe Vagnon, Franck Cattaneo, Chloe Goulon, Jean Guillard, Victor Frossard
Summary: This study assessed the vulnerability of whitefish to European catfish invasion in peri-Alpine lakes and found that the catfish effectively consumed whitefish, with young individuals being the most vulnerable. These findings suggest that the European catfish may pose a growing threat to whitefish in the context of global change.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2022)
Article
Fisheries
Michal Tuser, Jean Guillard, Atle Rustadbakken, Thomas Mehner
Summary: This study systematically evaluated the correspondence between fish length data obtained from vertical hydroacoustics and gillnetting in seven European natural lakes. The results showed a good agreement in the continuous size distributions obtained by both methods and their correlation with lake depth and mean air temperature. This supports the application of vertical hydroacoustics in acquiring size structure of fish communities in lakes, although further research on specific methodological details is needed.
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
(2022)
Article
Ecology
Chloe Vagnon, Rudolf P. Rohr, Louis-Felix Bersier, Franck Cattaneo, Jean Guillard, Victor Frossard
Summary: The impacts of invasive species on resident communities are difficult to quantify, but a combination of niche and population dynamic models can provide insights. This study used this approach to assess the ecological consequences of an invasive apex predator in lake food webs. The results showed changes in resident species abundances and highlighted the importance of indirect effects.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2022)
Article
Marine & Freshwater Biology
Emilie Realis-Doyelle, Nathalie Cottin, Martin Daufresne, Emmanuel Naffrechoux, Stephane Reynaud, Jean Guillard
Summary: This study aimed to investigate the effects of PCB pollution on the Arctic char population and explore how increased water temperature could magnify the effects of PCB. The results showed that co-exposure to increased temperature and maternal PCB contamination influenced biodemographic, physiological, and behavioural parameters, with the effects highly dependent on the developmental stage. Based on the pace-of-life syndrome theory, a continuum of life traits that may reflect potential physiological and behavioural modifications in response to these concurrent stressors is highlighted.
AQUATIC TOXICOLOGY
(2023)
Article
Environmental Studies
Hilaire Drouineau, Fabien Moullec, Didier Gascuel, Francis Laloe, Sterenn Lucas, Nicolas Bez, Patrice Guillotreau, Jerome Guitton, Pierre-Yves Hernvann, Martin Huret, Sigrid Lehuta, Marc Leopold, Stephanie Mahevas, Marianne Robert, Mathieu Woillez, Youen Vermard
Summary: Since the 1980s, the Common Fisheries Policy (CFP) has been criticized for its lack of protection for fishermen and ecosystems. The recent initiative led by French fishery scientists highlights the need for transparency, consultation, and urgency in the Mediterranean Sea. Scientists propose an ecosystem approach to fisheries and emphasize the importance of considering climate change in the reform of CFP.
Article
Multidisciplinary Sciences
Azenor Le Quinio, Eric De Oliveira, Alexandre Girard, Jean Guillard, Jean-Marc Roussel, Fabrice Zaoui, Francois Martignac
Summary: Acoustic cameras are being increasingly used in monitoring diadromous fish populations, but identifying anguilliform fish automatically from the data is challenging. This study developed a computer vision-based method to automatically detect, identify, and count anguilliform fish using data from multiple models of acoustic cameras. Promising results were obtained for large eels, with over 75% being successfully identified, but the detection rate for smaller eels was only 42%, with the best performance observed at detection ranges of 4-9 m. Despite the need for improvements, the cross-camera method shows promise for automatically detecting and counting large eels in long-term monitoring studies in complex environments.
Article
Geosciences, Multidisciplinary
Olivia Desgue-Itier, Laura Melo Vieira Soares, Orlane Anneville, Damien Bouffard, Vincent Chanudet, Pierre Alain Danis, Isabelle Domaizon, Jean Guillard, Theo Mazure, Najwa Sharaf, Frederic Soulignac, Viet Tran-Khac, Brigitte Vincon-Leite, Jean-Philippe Jenny
Summary: The long-term effects of climate change on lakes globally include substantial changes in thermal regime and oxygen solubility, which can alter ecosystem processes, habitats, and substance concentrations. Although long-term model projections of climate change effects on lakes have been developed, they are rarely compared with multi-decade observations. Additionally, global-scale forcing parameters in lake models have limitations that require significant downscaling. In this study, the effects of climate change on thermal regime and oxygen solubility were analyzed in the four largest French peri-alpine lakes over a period of 1850-2100. The results indicate a critical alteration in lake thermal and oxygen conditions in the coming decades and underscore the need for better integration of long-term lake observatories data and lake models to anticipate climate effects on lake thermal regimes and habitats.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Correction
Environmental Sciences
A. Wuest, D. Bouffard, J. Guillard, B. W. Ibelings, S. Lavanchy, M. -E. Perga, N. Pasche
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2022)