Article
Geosciences, Multidisciplinary
Lionel Savignan, Alexandre Lee, Alexandra Coynel, Stephanie Jalabert, Stephane Faucher, Gaetane Lespes, Philippe Chery
Summary: The study analyzed 356 samples from the south-western region of France to determine the spatial distribution and origin of six trace elements in soils. It found that the element arsenic has dual anthropogenic and geogenic origins, while cadmium is mainly geogenic and associated with Jurassic limestone bedrock.
Article
Geochemistry & Geophysics
Jose A. Guartan, Xavier Emery
Summary: Spatial analysis and interpretation of lithological and geochemical sampling information is essential in mineral prospecting and initial geological-mining exploration. This study compared two geostatistical approaches for the spatial prediction of lithological classes in mineral prospecting, with the plurigaussian modeling approach outperforming the cokriging approach in accuracy and consistency, providing valuable insights for mineral prospectivity mapping.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2021)
Article
Environmental Sciences
Joanna Swidwa-Urbanska, Jorge Batlle-Sales
Summary: The study proposes a data quality-oriented approach to sampling design for urban soil health investigation and risk assessment. Analysis of heavy metals in Krowoderski park in Cracow reveals concentrations below legal upper tolerance levels, but categorizes the park as medium to highly polluted overall.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Luman Li, Liping Lei, Hao Song, Zhaocheng Zeng, Zhonghua He
Summary: Methane is an important greenhouse gas contributing to global warming, and a study has developed a mapping dataset using GOSAT observations to understand the spatiotemporal variations of methane concentrations. The dataset provides insights into the characteristics and driving factors of methane variation and detects a reduction in methane during the COVID-19 lockdown in China.
Article
Environmental Sciences
Thangavelu Arumugam, Sapna Kinattinkara, Drisya Nambron, Sampathkumar Velusamy, Manoj Shanmugamoorthy, T. Pradeep, P. Mageshkumar
Summary: This study used GIS-based geostatistics and multivariate analysis to estimate the spatial variability of soil physico-chemical characteristics in Sultan Batheri Block, Wayanad district. A total of 32 soil samples were collected and analyzed using standard analytical techniques. The results showed high variation in soil organic carbon and low variation in electrical conductivity. Principal component analysis and correlation coefficient matrix analysis revealed the interrelationships among soil properties. Spatial distribution of soil characteristics was developed using inverse distance weighting and kriging methods, which exhibited high accuracy according to cross-validation tests. The levels of nitrogen and phosphorus in the study area were found to be ideal, indicating no contamination risk.
Article
Environmental Sciences
Abdelhamid Bradai, Ibrahim Yahiaoui, Abdelkader Douaoui, Mohamed Amine Abdennour, Aminjon Gulakhmadov, Xi Chen
Summary: This study presents a reliable method combining multivariate analysis and geostatistical modeling to assess groundwater irrigation resources in the Western Middle Cheliff region of Algeria. By analyzing water samples and soil properties, this study found that geological processes, human activities, and agricultural activities have an impact on groundwater quality.
Article
Multidisciplinary Sciences
Samer Alomar, Seyed Ahmad Mireei, Abbas Hemmat, Amin Allah Masoumi, Hossein Khademi
Summary: This study utilized Vis-NIR spectroscopy with CCD and InGaAs spectrometers, using PLS and ANN techniques to accurately predict physicochemical characteristics of calcareous topsoil. The results showed that InGaAs spectrometer data was crucial for achieving the best predictions, while CCD device also provided acceptable predictions for certain soil properties. Variability mapping based on the best predictive models showed promising results for site-specific soil management.
SCIENTIFIC REPORTS
(2022)
Article
Geosciences, Multidisciplinary
Lionel Savignan, Stephane Faucher, Stephanie Jalabert, Alexandre Lee, Gaetane Lespes, Philippe Chery
Summary: This study analyzes samples from the Soil Quality Measurement Network in southwestern France to determine the spatial distribution and origin of silver in the soils. The results show a range of silver concentration in the soils and correlations with other metals and distance to mining sites. Cokriging is used to estimate the spatial distribution of silver, and it improves the quality of interpolation compared to ordinary kriging.
Article
Agronomy
Francisco J. Moral, Abelardo Garcia-Martin, Francisco J. Rebollo, Maria A. Rozas, Luis L. Paniagua
Summary: The study used three models to estimate winter chilling accumulation in mainland Spain, showing a high correlation in the results obtained. Elevation and latitude were found to be closely related to chilling hours, enabling their use as auxiliary variables for more accurate estimations at unsampled locations. The spatial patterns of chill accumulation are crucial for selecting appropriate fruit trees and cultivars, and quantile maps can be used for areas with a high probability of meeting chilling requirements.
Article
Green & Sustainable Science & Technology
Antonio-Juan Collados-Lara, Leticia Baena-Ruiz, David Pulido-Velazquez, Eulogio Pardo-Iguzquiza
Summary: The study investigates the variability of wind energy resources in Granada Province, Spain, using an optimal mapping of ground wind speeds and comparing different interpolation methods. This is the first comprehensive analysis conducted at such a large spatial and long-time scale, providing valuable insights for determining optimal locations for wind energy facilities.
Article
Physics, Fluids & Plasmas
Lucas J. Stanek, Shaunak D. Bopardikar, Michael S. Murillo
Summary: This study presents a multifidelity Gaussian-process regression framework for combining physical data from multiple sources at different fidelities. By varying low-and high-fidelity data sources, the prediction quality can be qualitatively changed in regions lacking high-fidelity data, with increased confidence in the predictions. Additionally, strategies for sampling high-fidelity data can reduce regression errors.
Article
Agronomy
Antonio Lopez-Castaneda, Joel Zavala-Cruz, David Jesus Palma-Lopez, Joaquin Alberto Rincon-Ramirez, Francisco Bautista
Summary: This study aims to create a digital map of soil fertility based on soil profile information for precise management of amendments and fertilizers. By analyzing the relationship between soil properties and geographic space, the best spatial models for soil fertility, including CEC, pH, Ca, Mg, Na, and K, were obtained, resulting in a map of soil fertility classes.
Article
Engineering, Environmental
Sara M. Defratyka, Jean-Daniel Paris, Camille Yver-Kwok, Julianne M. Fernandez, Piotr Korben, Philippe Bousquet
Summary: Megacities are significant sources of methane emissions due to their large and complex infrastructures. This study focuses on mobile measurements of methane in Paris to quantify these emissions, identifying 90 potential leaks primarily from natural gas distribution networks, sewage systems, and building furnaces. Results show that Paris has a total estimated CH4 emission rate of 5000 L/min (190 t/yr) with the largest contribution from gas leaks (56%), suggesting that targeted efforts to reduce emissions should focus on the natural gas distribution network, sewage system, and building furnaces.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Remote Sensing
Luis Fernando Chimelo Ruiz, Jose Alexandre Melo Dematte, Jose Lucas Safanelli, Rodnei Rizzo, Nelida E. Q. Silvero, Nicolas Augusto Rosin, Lucas Rabelo Campos
Summary: This study used PlanetScope satellite constellations to develop Synthetic Soil Image (SYSI) and successfully predicted soil clay content. With high spatial and temporal resolution, the SYSI-Planet provided accurate soil analysis and mapping, enhancing precise agricultural management.
REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Tiezhu Shi, Xianjun Hu, Long Guo, Fenzheng Su, Wei Tu, Zhongwen Hu, Huizeng Liu, Chao Yang, Jingzhe Wang, Jie Zhang, Guofeng Wu
Summary: The study successfully mapped the spatial patterns of Zn in urban topsoil using multisource geospatial data and a machine learning method by extracting data related to geology, relief, and vegetation. The key environmental covariates such as urban functional type, geology, NDVI, elevation, slope, and aspect were identified, and random forest and geographically weighted regression models were employed to model and map Zn concentrations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Noura Slimani, Juan Jose Jimenez, Eric Guilbert, Moncef Boumaiz, Jean Thioulouse
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2020)
Article
Ecology
Battle Karimi, Jean Villerd, Samuel Dequiedt, Sebastien Terrat, Nicolas Chemidlin-Prevost Boure, Christophe Djemiel, Melanie Lelievre, Julie Tripied, Virginie Nowak, Nicolas P. A. Saby, Antonio Bispo, Claudy Jolivet, Dominique Arrouays, Patrick Wincker, Corinne Cruaud, Lionel Ranjard
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2020)
Article
Biotechnology & Applied Microbiology
Myriam Chiaruzzi, Alexia Barbry, Anaelle Muggeo, Anne Tristan, Isaline Jacquemond, Cedric Badiou, Laurence Cluzeau, Sabine Bourdeau, Thibaut Durand, Astrid Engelmann, Dorian Bosquet, Michele Bes, Claire Prigent-Combaret, Jean Thioulouse, Daniel Muller, Gerard Lina
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
(2020)
Article
Geosciences, Multidisciplinary
Siobhan Staunton, Nicolas P. A. Saby, Dominique Arrouays, Herve Quiquampoix
Article
Soil Science
Cecile Gomez, Tiphaine Chevallier, Patricia Moulin, Imane Bouferra, Kaouther Hmaidi, Dominique Arrouays, Claudy Jolivet, Bernard G. Barthes
Article
Ecology
Mylene Hugoni, Naoise Nunan, Jean Thioulouse, Audrey Dubost, Danis Abrouk, Jean M. F. Martins, Deborah Goffner, Claire Prigent-Combaret, Genevieve Grundmann
Summary: Research has shown that there are differences in bacterial composition at the small scale among different soils, with one soil exhibiting a satellite distribution mode and the other three showing bimodal distributions. Multiple core taxa were found across the four soils, with 8 OTUs common to all four sites. These results highlight the importance of analyzing small-scale spatial distribution for understanding ecosystem functioning.
Article
Soil Science
Dominique Arrouays, Anne C. Richer-de-Forges, Florence Helies, Vera Leatitia Mulder, Nicolas P. A. Saby, Songchao Chen, Manuel P. Martin, Mercedes Roman Dobarco, Stephane Follain, Claudy Jolivet, Bertrand Laroche, Thomas Loiseau, Isabelle Cousin, Marine Lacoste, Lionel Ranjard, Benoit Toutain, Christine Le Bas, Thomas Eglin, Marion Bardy, Veronique Antoni, Jeroen Meersmans, Celine Ratie, Antonio Bispo
Article
Evolutionary Biology
Jean Thioulouse, Sabrina Renaud, Anne-Beatrice Dufour, Stephane Dray
Summary: Recent papers have highlighted issues with between-group Principal Component Analysis (bgPCA), such as inflated and artificial differences between groups, which can be circumvented using cross-validation. The ade4 package for R statistical software provides tools and functions for computing bgPCA, testing significant group presence, performing cross-validation, and avoiding spurious groups. Validating this approach with real data and random numbers tables shows its effectiveness in various experimental and numerical conditions, with potential to extend to other multivariate analysis methods.
EVOLUTIONARY BIOLOGY
(2021)
Article
Limnology
Noura Slimani, Eric Guilbert, James C. White, Matthew J. Hill, Paul J. Wood, Moncef Boumaiza, Jean Thioulouse
Summary: Heteropteran communities in the Mediterranean region of Tunisia were studied in terms of their diversity, distribution, and environmental influences. The research found that Heteropterans were most abundant in spring and summer, correlated with favorable conditions for benthic aquatic fauna. The longitudinal spatial organization of Heteropteran communities was linked to gradients of mineralization and oxygen concentrations. River catchments with riparian forest cover had higher diversity and presence of endemic and rare species. Aquatic vegetation and water quality were identified as important factors in driving the variability of Heteropterans. These findings have implications for the management and conservation of freshwater biodiversity in Northern Africa.
Article
Microbiology
Christophe Djemiel, Samuel Dequiedt, Arthur Bailly, Julie Tripied, Melanie Lelievre, Walid Horrigue, Claudy Jolivet, Antonio Bispo, Nicolas Saby, Matthieu Vale, Pierre-Alain Maron, Lionel Ranjard, Sebastien Terrat
Summary: Soils are essential reservoirs of biological diversity, hosting a wide range of microorganisms. This study investigated the fungal:bacterial (F:B) ratio in French soils and found that it is heterogeneously distributed and affected by soil characteristics and land management. The pH, organic carbon content, and carbon:nitrogen ratio were identified as the main drivers of F:B ratios. These findings enhance our understanding of soil microbial communities and suggest that F:B ratio could be used as a bioindicator of soil status.
Article
Soil Science
Alexandre M. J. -C. Wadoux, Nicolas P. A. Saby, Manuel P. Martin
Summary: Understanding the controlling factors of soil organic carbon (SOC) stock variation is important for both scientific understanding of terrestrial carbon balance and supporting policies on carbon storage in soils for mitigating climate change. This study developed a statistical method using machine learning models and environmental covariates to analyze SOC stock variation. The results showed that vegetation and topography were the main drivers of SOC stock variation in mainland France, but the importance of covariates varied across locations and carbon-landscape zones. The use of Shapley values provided valuable insights into the factors influencing SOC stock variation and the mechanisms driving soil carbon sequestration potential.
Article
Soil Science
Claire Froger, Nicolas P. A. Saby, Claudy C. Jolivet, Line Boulonne, Giovanni Caria, Xavier Freulon, Chantal de Fouquet, Helene Roussel, Franck Marot, Antonio Bispo
Summary: The study focused on PAHs concentrations in 2154 soils in France, revealing higher levels near industrial areas and major cities. PAH molecular diagnostic ratios supported the historical origin of PAHs in the northern part of France related to significant emissions during the industrial period of 1850-1950 in Europe. Furthermore, a health risk assessment for the residential population showed a low total lifetime cancer risk.
Article
Geosciences, Multidisciplinary
Virginie Moreaux, Simon Martel, Alexandre Bosc, Delphine Picart, David Achat, Christophe Moisy, Raphael Aussenac, Christophe Chipeaux, Jean-Marc Bonnefond, Soisick Figueres, Pierre Trichetl, Remi Vezy, Vincent Badeau, Bernard Longdoz, Andre Granier, Olivier Roupsard, Manuel Nicolas, Kim Pilegaard, Giorgio Matteucci, Claudy Jolivet, Andrew T. Black, Olivier Picard, Denis Loustau
GEOSCIENTIFIC MODEL DEVELOPMENT
(2020)
Article
Agriculture, Dairy & Animal Science
R. Perronne, B. Amiaud, G. Benquey, J. Bloor, P. Choler, C. Jolivee, C. Violle, J. Pottier
