Article
Geosciences, Multidisciplinary
Junfei Lv, Jia Shi, Zi Wang, Yumei Peng, Xiang Wang
Summary: The effects of erosion and deposition on SOC pools and OC-mineral interactions were investigated in an agricultural Mollisol landscape. Results showed that deposition promoted OC interactions with minerals and increased the stability of SOC. Depositional sites had the highest capacity for OC sequestration, indicating their importance in stabilizing soil OC.
Article
Environmental Sciences
Somil Swarnkar, Shivam Tripathi, Rajiv Sinha
Summary: The Himalayan basins are characterized by severe soil erosion rates, which are exacerbated by unsustainable agricultural activities, impacting the overall hydro-geomorphic regime of river basins. Research findings demonstrate that a significant portion of sediment production in the Ganga and Kosi basins comes from the mountainous regions, with a large proportion of sediment accommodation in the alluvial plains of the Kosi Basin.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Evan A. Thaler, Isaac J. Larsen, Qian Yu
Summary: Soil erosion in agricultural landscapes, particularly in the Corn Belt of the midwestern United States, has led to a significant loss of A-horizon soil, affecting crop yields and causing economic losses. This research reveals that tillage-induced erosion plays a crucial role in soil loss, which has been significantly underestimated by previous soil survey-based methods. Models used to assess nationwide soil loss trends in the United States do not simulate tillage erosion, highlighting the need for improved erosion prediction and management strategies.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Environmental Sciences
Yongfei Gao, Pengyuan Yang
Summary: Soil water repellency (SWR) in grassland soils can lead to erosion and degradation. This study examined the temporal and spatial distribution of SWR in Inner Mongolia grassland soils and identified the physical-chemical properties that contribute to SWR. The results showed that SWR was correlated with hydrophobic matter content, particle size, and soil moisture. The study emphasized the importance of considering SWR in reducing the risk of soil erosion and degradation in grasslands.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Lili Yao, A. Sankarasubramanian, Dingbao Wang
Summary: This study evaluates the impacts of climate and landscape characteristics on long-term baseflow using various indices and functions. The results show that storage capacity has a significant impact on baseflow indices, with different sensitivities in arid and humid regions, while the shape parameter plays a role in different ways in different regions.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Marie Spohn, Stefan Holzheu
Summary: The study reveals that soil CO2 concentration increases linearly with depth in desert soil, showing a diel oscillation that decreases with soil depth as well as a hysteretic relationship between topsoil CO2 concentration and air/soil temperature. Thermal convective venting is likely responsible for the observed dynamics, suggesting a significant control of temperature differences on gas exchange within soil systems.
Article
Environmental Sciences
Zhihan Yang, Xinrui Luo, Yuehong Shi, Tao Zhou, Ke Luo, Yunsen Lai, Peng Yu, Liang Liu, Alexander Olchev, Ben Bond-Lamberty, Dalei Hao, Jinshi Jian, Shaohui Fan, Chunju Cai, Xiaolu Tang
Summary: This study used a machine learning approach to predict the temperature sensitivity (Q10) of soil respiration at a 1 km resolution across China. The results showed that Q10 varied from 1.54 to 4.17, with a weighted average of 2.52. Soil organic carbon was identified as the most important driving factor for Q10, and the spatial and temporal variations were influenced by different environmental factors.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Soil Science
Tingyu Hou, Timothy R. Filley, Yanan Tong, Benjamin Abban, Sarmistha Singh, A. N. Thanos Papanicolaou, Kenneth M. Wacha, Christopher G. Wilson, Indrajeet Chaubey
Summary: This study highlights the importance of tillage practices on soil erosion and organic matter loss, with contour tillage enhancing organic carbon content and reducing decomposition, while controlling the movement of particles; however, parallel tillage orientation can result in higher sediment mobilization.
SOIL & TILLAGE RESEARCH
(2021)
Article
Biodiversity Conservation
David Emde, Kirsten D. Hannam, Ilka Most, Louise M. Nelson, Melanie D. Jones
Summary: The study found that irrigated agriculture can increase soil organic carbon (SOC) stocks, with the greatest increase observed in semi-arid regions at shallow soil depths. The impact of irrigation on SOC varies by climate and soil texture, with sprinkler irrigated sites showing an increase in SOC while drip irrigated sites showing a decrease.
GLOBAL CHANGE BIOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Jelle Houben, Dennis Langelaan, Luc Brinkman, Henk Huinink, Hartmut R. Fischer, Olaf C. G. Adan
Summary: This work investigates the relation between mobility and metastability under pure water vapor vacuum conditions. The study shows that mobility is a prerequisite for the nucleation of K2CO3. It is also found that the metastable zone is a consequence of the energy barrier for nucleation and the low ion mobility at low vapor pressures.
CRYSTAL GROWTH & DESIGN
(2022)
Article
Environmental Sciences
Jiaying He, Dong Chen, Liza Jenkins, Tatiana Loboda
Summary: Tundra ecosystems contain high soil organic carbon levels, with wildfires impacting soil properties and ecosystem functioning. Short-lived tundra fires may not significantly consume organic soil layers, leading to potential overestimations of soil organic carbon stock and fire impacts. Repeated fires could result in greater loss of soil organic carbon, with soil moisture and temperature affected by wildfire in tussock tundra over decades.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Ecology
Vilde L. Haukenes, Johan Asplund, Lisa Asgard, Jorund Rolstad, Ken Olaf Storaunet, Mikael Ohlson
Summary: Fires in boreal forests release significant amounts of organically bound carbon and convert some of the burnt organic matter into charcoal, which acts as a long-term stable carbon pool. The proportion of charcoal carbon in the forest floor varies spatially, with greater concentrations found in deeper and denser soils. Historical fire frequency and current vegetation differences do not appear to influence the proportion of charcoal carbon.
Article
Environmental Sciences
Eric W. Slessarev, Oliver A. Chadwick, Noah W. Sokol, Erin E. Nuccio, Jennifer Pett-Ridge
Summary: This study shows that rock weathering can influence the abundance of poorly crystalline minerals and organic carbon in soil, but this influence is limited by weathering rates and climatic conditions in geographic regions. The geological source in soil has a certain impact on organic carbon storage.
Article
Microbiology
Katherine I. Naasko, Daniel Naylor, Emily B. Graham, Sneha P. Couvillion, Robert Danczak, Nikola Tolic, Carrie Nicora, Steven Fransen, Haiying Tao, Kirsten S. Hofmockel, Janet K. Jansson
Summary: Climate change leads to increased drought and loss of soil organic carbon. Calcareous soils can help mitigate these losses. This study examined the impact of irrigation and perennial plants on deep soil carbon chemistry in an unfertilized calcareous soil. The results showed that soil microbial community composition was more affected by irrigation and plant cover, while metabolomes, lipidomes, and proteomes varied with soil depth.
Article
Geosciences, Multidisciplinary
Ningning Zhang, Shihao Huang, Heng Lei, Xinzhe Lei, Puling Liu, Jiakun Yan
Summary: This study investigated the changes in soil properties in restoration areas following coal mining in Heidaigou open-pit coal mine of Northwest China. The results showed that soil organic matter and organic acid content increased with increasing restoration age, while total phosphorus content remained unchanged. Alkali-hydrolyzable nitrogen was significantly correlated with available phosphorus, acetic acid, soil organic matter, and pH. These findings provide theoretical support for improving soil quality and restoration in coal dam areas.
Article
Soil Science
Alexandre M. J-C Wadoux, Alessandro Samuel-Rosa, Laura Poggio, Vera Leatitia Mulder
EUROPEAN JOURNAL OF SOIL SCIENCE
(2020)
Article
Soil Science
Marc Voltz, Dominique Arrouays, Antonio Bispo, Philippe Lagacherie, Bertrand Laroche, Blandine Lemercier, Anne Richer-de-Forges, Joelle Sauter, Nathalie Schnebelen
Article
Geosciences, Multidisciplinary
Songchao Chen, Anne C. Richer-de-Forges, Vera Leatitia Mulder, Guillaume Martelet, Thomas Loiseau, Sebastien Lehmann, Dominique Arrouays
Summary: The study tested the prediction of loess thickness (TOL) by coupling a large soil dataset and environmental covariates. Using recursive feature elimination for variable selection and quantile regression forests for spatial modeling, the models showed good performance with reasonable prediction uncertainty. Airborne gamma-ray radiometric data and Sentinel 2 products were identified as important variables for the prediction of TOL.
Article
Soil Science
Thomas Loiseau, Dominique Arrouays, Anne C. Richer-de-Forges, Philippe Lagacherie, Christophe Ducommun, Budiman Minasny
Summary: The study found that with increasing density of observations, ordinary kriging (OK) may perform as well or even better than quantile random forest (QRF), depending on particle-size distribution. For silt prediction, OK was systematically better than QRF. However, the prediction intervals were much larger for OK than for QRF, and OK did not seem to estimate uncertainty correctly.
Article
Geosciences, Multidisciplinary
Anne C. Richer-de-Forges, Dominique Arrouays, Songchao Chen, Mercedes Roman Dobarco, Zamir Libohova, Pierre Roudier, Budiman Minasny, Hocine Bourennane
Summary: This study investigated the differences between field texture classes estimated by hand-feel and soil texture determined from laboratory analysis, and identified factors contributing to these differences. The study demonstrated the value of hand-feel texture in expanding soil texture database and supporting the expansion of the national database to inform soil water retention properties.
Review
Soil Science
Songchao Chen, Dominique Arrouays, Vera Leatitia Mulder, Laura Poggio, Budiman Minasny, Pierre Roudier, Zamir Libohova, Philippe Lagacherie, Zhou Shi, Jacqueline Hannam, Jeroen Meersmans, Anne C. Richer-de-Forges, Christian Walter
Summary: Digital soil mapping (DSM) is increasingly used to deliver soil information efficiently. Research shows that while the number of DSM publications continues to grow exponentially, the majority focus on applications rather than methodology, with a particular emphasis on the mandatory soil properties for global soil mapping.
Article
Soil Science
Anne C. Richer-De-Forges, Dominique Arrouays, Laura Poggio, Songchao Chen, Marine Lacoste, Budiman Minasny, Zamir Libohova, Pierre Roudier, Vera L. Mulder, Herve Nedelec, Guillaume Martelet, Blandine Lemercier, Philippe Lagacherie, Hocine Bourennane
Summary: Digital maps of soil properties are now widely accessible and there is a need to provide tools to communicate map uncertainty and assess reliability of digital soil mapping (DSM) products at local scales. This study evaluated the performance of various published DSM products for soil texture prediction in Central France using hand-feel soil texture data. The results showed that the prediction accuracy increased from global to regional predictions, providing a simple evaluation method to determine the suitability of DSM products at local scales and the need for more accurate predictions.
Review
Environmental Sciences
Emmanuelle Vaudour, Asa Gholizadeh, Fabio Castaldi, Mohammadmehdi Saberioon, Lubos Boruvka, Diego Urbina-Salazar, Youssef Fouad, Dominique Arrouays, Anne C. Richer-de-Forges, James Biney, Johanna Wetterlind, Bas Van Wesemael
Summary: This review paper focuses on the satellite-based spectral approaches for assessing soil organic carbon (SOC) in various geographical contexts. Most studies have been conducted in temperate croplands in Europe, China, and North America, with dry combustion and wet oxidation being the commonly used methods for SOC determination. The findings suggest that satellite-derived SOC spectral models, particularly under bare soil conditions, have the potential for further investigations. However, there is a need for future research on deep learning methods, performance evaluations, and uncertainty analysis of spatial model predictions.
Article
Soil Science
Blandine Lemercier, Philippe Lagacherie, Julien Amelin, Joelle Sauter, Pascal Pichelin, Anne C. Richer-de-Forges, Dominique Arrouays
Summary: This study evaluated three different scales of digital soil mapping products in various regions of France. The ability to predict soil properties improved as the scale of the DSM product became more localized. However, none of the tested products were able to accurately predict at the smallest scale.
Article
Soil Science
Yi Xiao, Jie Xue, Xianglin Zhang, Nan Wang, Yongsheng Hong, Yefeng Jiang, Yin Zhou, Hongfen Teng, Bifeng Hu, Emanuele Lugato, Anne C. Richer-de-Forges, Dominique Arrouays, Zhou Shi, Songchao Chen
Summary: This study evaluated the potential of machine learning methods in predicting mineral-associated organic carbon (MAOC) in soil. The results showed that machine learning-based predictive models can accurately predict MAOC, and the use of feature selection methods can optimize model performance and simplify model structure. Additionally, the study found that model ensemble methods can improve the accuracy and robustness of predictive models.
Article
Soil Science
Patricia Ortega-Ramirez, Valerie Pot, Patricia Laville, Steffen Schlueter, David Arturo Amor-Quiroz, Dalila Hadjar, Arnaud Mazurier, Marine Lacoste, Chloe Caurel, Valerie Pouteau, Claire Chenu, Isabelle Basile-Doelsch, Catherine Henault, Patricia Garnier
Summary: In this study, we proposed an indicator, IdPOM-air, based on the morphology of soil micro-structure to predict N2O emissions. The results showed that the spatial distributions of particulate organic matter (POM) and air-filled pores were key factors in determining N2O emissions in the soil cores.
Article
Soil Science
Xianglin Zhang, Songchao Chen, Jie Xue, Nan Wang, Yi Xiao, Qianqian Chen, Yongsheng Hong, Yin Zhou, Hongfen Teng, Bifeng Hu, Zhiqing Zhuo, Wenjun Ji, Yuanfang Huang, Yuxuan Gou, Anne C. Richer-de-Forges, Dominique Arrouays, Zhou Shi
Summary: In order to support decision-making for maintaining limited soil resources, the use of digital soil mapping (DSM) is crucial in obtaining spatially explicit soil information. Among various methods, modified greedy feature selection (MGFS) outperforms Boruta, recursive feature elimination (RFE), and variance inflation factor (VIF) analysis in terms of model parsimony and computation efficiency. The application of MGFS in mapping soil organic carbon density (SOCD) in Northeast and North China showed that it selected a more parsimonious model with better performance and lower global uncertainty compared to other methods. MGFS has great potential in fine-resolution soil mapping practices, especially for studies involving heavy computation on a large scale.
Article
Environmental Sciences
Diego Urbina-Salazar, Emmanuelle Vaudour, Anne C. Richer-de-Forges, Songchao Chen, Guillaume Martelet, Nicolas Baghdadi, Dominique Arrouays
Summary: This study presents a reliable method for mapping soil organic carbon (SOC) content over wide regions by using Sentinel-2 (S2) temporal mosaics of bare soil and soil moisture products, along with other environmental covariates. The models using all the covariates showed the best performance, and the results provided valuable information on the spatial variability of SOC.
Review
Environmental Sciences
Anne C. Richer-de-Forges, Qianqian Chen, Nicolas Baghdadi, Songchao Chen, Cecile Gomez, Stephane Jacquemoud, Guillaume Martelet, Vera L. Mulder, Diego Urbina-Salazar, Emmanuelle Vaudour, Marie Weiss, Jean-Pierre Wigneron, Dominique Arrouays
Summary: Soils are a finite resource facing threats due to human activities, making it necessary to map and monitor them to prevent degradation. The development of digital soil mapping (DSM) approaches, supported by remote sensing (RS) data, has allowed for high-resolution mapping of soils and assessing changes over time. French (inter)national research has played a significant role in pioneering the use of RS imagery in DSM.
Article
Environmental Sciences
Diego Urbina-Salazar, Emmanuelle Vaudour, Nicolas Baghdadi, Eric Ceschia, Anne C. Richer-de-Forges, Sebastien Lehmann, Dominique Arrouays
Summary: Soil organic carbon (SOC) content is crucial for crop development and growth, as well as for mitigating greenhouse gas emissions. This study investigated the influence of various factors on SOC content prediction over croplands in southwestern France using remote sensing techniques.
