Article
Environmental Sciences
Julian Campo
Summary: Temperature has an impact on both erosion and carbon cycling in the soil. Recent studies have shown that with warming, the amount of soil organic carbon lost due to erosion increases, while the preservation of deposited carbon decreases, resulting in an overall increase in the carbon sink in croplands.
NATURE CLIMATE CHANGE
(2023)
Article
Biodiversity Conservation
Malte Lessmann, Gerard H. Ros, Madaline D. Young, Wim de Vries
Summary: By combining global meta-analytical results on improved management practices with spatially explicit data, the estimated global carbon sequestration potential varies from 0.28 to 0.68 Gt C yr(-1) assuming maximum complementarity among all measures. Realistically, the estimate ranges from 0.28 to 0.43 Gt C yr(-1), highlighting regional differences in carbon sequestration potential due to varying yield gaps, SOC levels, and current practices.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Soil Science
Cara Mathers, Christopher K. Black, Brian D. Segal, Ram B. Gurung, Yao Zhang, Mark J. Easter, Stephen Williams, Melissa Motew, Eleanor E. Campbell, Charles D. Brummitt, Keith Paustian, Ashok A. Kumar
Summary: Regenerative soil management practices increase soil organic carbon and can be used in carbon offset programs. The DayCent-CR model has been validated and calibrated for use in estimating soil organic carbon changes across different crops and practices.
Article
Environmental Sciences
Mengmeng Xie, Tianyu Zhang, Shasha Liu, Ziping Liu, Zhongqiang Wang
Summary: This study investigated the effects of long-term straw return on soil organic carbon (SOC) and soil inorganic carbon (SIC) sequestration in maize planting cropland in Northeastern China. The results showed that SOC contents increased while SIC contents decreased in the soil profile following long-term straw return. The subsoil layer had the highest increase in SOC and SIC stock, indicating the importance of the subsoil layer in promoting carbon sequestration in croplands.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Agronomy
Chunqiao Zhao, Xincun Hou, Qiang Guo, Yuesen Yue, Juying Wu, Yawei Cao, Qinghai Wang, Cui Li, Zhengang Wang, Xifeng Fan
Summary: Long-term conversion to unfertilized switchgrass can improve soil properties in northern China without causing soil depletion.
Article
Soil Science
Xavier Dupla, Karine Gondret, Ophelie Sauzet, Eric Verrecchia, Pascal Boivin
Summary: The study reveals a significant decrease in SOC content in western Switzerland's cropland topsoil, with most areas showing a linear increase in SOC content change rates. This trend is attributed to Swiss agri-environmental schemes and the adoption of minimum tillage, conservation agriculture, and multi-species cover crops.
Article
Soil Science
Xiuxiu Li, Jun Huang, Chenchen Qu, Wenli Chen, Chengrong Chen, Peng Cai, Qiaoyun Huang
Summary: This study investigated the accumulation patterns and controlling factors of microbial residues in croplands in eastern China by measuring amino sugars. The results showed that fungal-derived glucosamine accumulated more in cooler and drier sites, while bacterial-derived muramic acid had no obvious pattern. Iron and aluminum oxides primarily explained the variation in fungal-derived glucosamine, while pH and C/N ratio played a central role in the accumulation of bacterial-derived muramic acid.
Article
Environmental Studies
Jim Jordahl, Marshall Mcdaniel, Bradley A. Miller, Michael Thompson, Sebastian Villarino, Lisa A. Schulte
Summary: The restoration of soil organic matter is crucial for sustainable crop production and ecosystem services. Long-term studies conducted in Iowa, USA, revealed that strip-tillage and no-tillage practices increased soil organic carbon (SOC), while more intensive tillage methods led to SOC losses. Conversion of cropland to perennial grassland also increased SOC. However, the effects of diversifying crop rotations and supplementing synthetic fertilizer with animal manure on SOC were inconsistent.
Article
Environmental Sciences
Tom Broeg, Michael Blaschek, Steffen Seitz, Ruhollah Taghizadeh-Mehrjardi, Simone Zepp, Thomas Scholten
Summary: This study tests the transferability of soil organic carbon (SOC) models for cropland soils using five different types of covariates. The results show that satellite and combined models are transferable, but their accuracy declines. Additionally, mixed-data models significantly improve the accuracies of satellite, terrain, and combined models, while they have no effect on climate models and decrease the models based on soil covariates.
Article
Forestry
Maria Eugenia Priano, Felix Zorita, Carmen Trasar-Cepeda
Summary: This study determined the changes in soil respiration brought about by afforestation in a temperate-humid region and identified the variables that explain the observed changes. The results showed that soil organic C content was an important factor for the significant differences in soil respiration between paired plots, and soil temperature mainly influenced soil respiration, except during the summer period where soil moisture fluctuations played a role. This finding suggests that growing pasture crops on high quality land can prevent soil nutrient loss and improve the greenhouse gas balance.
Article
Environmental Sciences
Enze Xie, Xiu Zhang, Fangyi Lu, Yuxuan Peng, Yongcun Zhao
Summary: This study investigated the changes in soil organic carbon (SOC) in a rapidly urbanizing area in southern Jiangsu Province, China. The results showed that SOC changed significantly over different time periods, with an increase from 1980 to 2000 and a decrease from 2000 to 2015. The study also found that 60% of the study area experienced a significant increase in SOC content over the entire 35-year period. These findings highlight the importance of balancing agricultural development and urbanization processes to maintain SOC levels.
LAND DEGRADATION & DEVELOPMENT
(2022)
Article
Environmental Sciences
Fangzheng Chen, Puyu Feng, Matthew Tom Harrison, Bin Wang, Ke Liu, Chenxia Zhang, Kelin Hu
Summary: Using machine learning methods, we investigated the impact of environmental variables on soil organic carbon (SOC) stocks and sequestration in cropland. The results showed that areas with high SOC stocks were located in low-altitude and water-sufficient regions. Soil properties regulated by elevation and precipitation had direct and indirect effects on SOC stocks. Our modeling approach can be applied to other regions and provide insights for mitigating cropland soil carbon loss under climate emergency conditions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Biodiversity Conservation
Ranran Zhou, Yuan Liu, Jennifer A. J. Dungait, Amit Kumar, Jinsong Wang, Lisa K. Tiemann, Fusuo Zhang, Yakov Kuzyakov, Jing Tian
Summary: A meta-analysis of 481 paired measurements from cropland soils showed that cropland management practices significantly influence microbial necromass accumulation and its contribution to soil organic carbon (SOC). Nitrogen fertilization, cover crops, no or reduced tillage, manure, and straw amendment all increased microbial necromass accumulation. The optimal conditions for microbial necromass accumulation and its contribution to SOC sequestration require site-specific management.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Agriculture, Multidisciplinary
Zhiyuan Yao, Chuanxiong Huang, Huiling Hu, Tao Wang, Yulong Li, Xiaoming Sune, Sina Adl, Bo Zhu
Summary: Enhancing soil organic carbon levels through improved fertilization strategies is important for soil health and sustainable crop production. This study found that the relative abundance of organisms from higher trophic levels and increased network complexity in the soil micro-food webs are vital contributors to effective SOC accumulation.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Environmental Sciences
Aiwen Li, Yuanyuan Zhang, Chengji Li, Qian Deng, Hongyan Fang, Tianfei Dai, Chaoping Chen, Jingting Wang, Zemeng Fan, Wenjiao Shi, Bin Zhao, Qi Tao, Rong Huang, Yiding Li, Wei Zhou, Deyong Wu, Dagang Yuan, John P. Wilson, Qiquan Li
Summary: This study evaluated the effects of warming on cropland soil organic carbon (SOC) by analyzing soil samples collected in the Sichuan Basin of China. The results showed that mean SOC content increased after warming, with larger increments observed under drier conditions. The study highlights the importance of water management and environmental-specific mechanisms for understanding the soil carbon-climate feedback.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Soil Science
Luis R. S. Taveira, David C. Weindorf, Michele D. De Menezes, Teotonio Soares de Carvalho, Paulo Emilio F. Da Motta, Anita Fernanda dos Santos Teixeira, Nilton Curi
Summary: The study aimed to adapt land use capability to farming systems with low and intermediate levels of technology, using erosion data as the main indicator. Comparing the current and adapted criteria in different regions showed changes in the spatial distribution of land use capability classes, with the correspondence between land use/management and erosion maps improving significantly with the adapted criteria.
SOIL USE AND MANAGEMENT
(2021)
Article
Horticulture
Wentai Zhang, Jiandong Sheng, Zheng Li, David C. Weindorf, Guiqing Hu, Junwei Xuan, Hongmei Zhao
Summary: In northwest China, drip irrigation is more effective than rainwater harvesting in improving apple yield, especially with the use of plastic film mulching. Additionally, optimized drip irrigation methods can significantly enhance water use efficiency.
SCIENTIA HORTICULTURAE
(2021)
Article
Soil Science
Sergio H. G. Silva, David C. Weindorf, Wilson M. Faria, Leandro C. Pinto, Michele D. Menezes, Luiz R. G. Guilherme, Nilton Curi
Summary: The study used proximal soil sensor data and terrain variables to predict soil classes, finding that combining the five most important covariates at different spatial resolutions improved soil map quality. The key influencing factors in soil mapping were magnetic susceptibility, iron, and titanium.
Article
Plant Sciences
Camila Silva Borges, R. Ruby Antonieta Vega, Somsubhra Chakraborty, David C. Weindorf, Guilherme Lopes, Luiz Roberto Guimaraes Guilherme, Nilton Curi, Bin Li, Bruno Teixeira Ribeiro
Summary: This study used a pocket-sized sensor to obtain the color of plant leaves and evaluated its performance by comparing it with the SPAD index. The results showed that the NixTM Pro color sensor was effective in differentiating crops and predicting the SPAD index. The ENET regression algorithm performed best in most crops. Overall, the NixTM Pro color sensor is a fast, sensitive, and easy method for obtaining leaf color.
JOURNAL OF PLANT PHYSIOLOGY
(2022)
Article
Geosciences, Multidisciplinary
Anita Fernanda dos Santos Teixeira, Renata Andrade, Marcelo Mancini, Sergio Henrique Godinho Silva, David C. Weindorf, Somsubhra Chakraborty, Luiz Roberto Guimaraes Guilherme, Nilton Curi
Summary: This study evaluated the use of different sensors and auxiliary variables to predict soil properties. The results showed that the combination of multiple sensors provided the best predictions, but pXRF alone achieved similar accuracies. NixProTM contributed significantly to the prediction of SOM and CEC, while pXRF and Vis-NIR produced the best results for most variables. Soil-order-specific models improved predictions for Ultisols, but soil parent material and horizon had little effect on the models. Categorical predictions improved accuracy, especially for pH in A horizons of Ultisols using pXRF + Vis-NIR data.
JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
(2022)
Article
Soil Science
Renata Andrade, Marcelo Mancini, Anita Fernanda dos Santos Teixeira, Sergio Henrique Godinho Silva, David C. Weindorf, Somsubhra Chakraborty, Luiz Roberto Guimaraes Guilherme, Nilton Curi
Summary: This study evaluated the use of proximal sensor data via random forest algorithm for predicting soil particle size fractions and soil textural classes in tropical regions. The results showed that pXRF data were crucial for accurate soil texture prediction. The use of proximal sensors can provide rapid and accurate assessment of soil texture, supporting agronomic and environmental strategies in Brazilian conditions.
Article
Agronomy
Luiza Maria Pereira Pierangeli, Sergio Henrique Godinho Silva, Anita Fernanda dos Santos Teixeira, Marcelo Mancini, Renata Andrade, Michele Duarte de Menezes, Joao Jose Marques, David C. Weindorf, Nilton Curi
Summary: This study evaluated the contribution of proximal and remotely sensed data in predicting soil texture and available micronutrient contents. The results showed that portable X-ray fluorescence (pXRF) data played a key role in achieving the best predictions.
Article
Environmental Sciences
Amanda Jo Zimmerman, Danira Garcia Gutierrez, Negar Shaghaghi, Aakriti Sharma, Amrika Deonarine, Gautier Landrot, David C. Weindorf, Matthew G. Siebecker
Summary: This study systematically investigates the mobility of arsenic-enriched titanium dioxide water treatment residuals (TiO2 WTRs), and finds that a significant portion of arsenic can be extracted when exposed to phosphate solutions. Macroscopic desorption experiments and X-ray absorption spectroscopy (XAS) confirm the formation of inner-sphere bonds between arsenic and TiO2 particles. Additionally, incubation experiments reveal the reduction of arsenic(V) to arsenic(III) in solution. The high mobility of arsenic and the potential for reduction present important risks, particularly in agriculturally important areas where waste products are not properly managed.
ENVIRONMENTAL POLLUTION
(2023)
Article
Soil Science
Shubhadip Dasgupta, Santonu Debnath, Ayan Das, Asim Biswas, David C. Weindorf, Bin Li, Arvind Kumar Shukla, Shreya Das, Sushanta Saha, Somsubhra Chakraborty
Summary: This study produced digital soil maps of available Zn, Cu, Fe, and Mn using soil samples from the Indo-Gangetic Plain of India, and compared the prediction accuracy of 14 machine learning approaches. A hybrid ensemble model was found to outperform all other models and was used to produce micronutrient maps. The study also explored the relationship between soil micronutrient concentration and grain micronutrient concentration, and developed models to predict grain Zn and Fe content based on soil concentrations.
Article
Geosciences, Multidisciplinary
Luiza Maria Pereira Pierangeli, Sergio Henrique Godinho Silva, Anita Fernanda dos Santos Teixeira, Marcelo Mancini, Renata Andrade, Michele Duarte de Menezes, Mona-Liza C. Sirbescu, Joao Jose Marques, David C. Weindorf, Nilton Curi
Summary: This study aimed to predict the parent material (PM) of soils using proximal sensors and random forest algorithm. The predictive models were successfully created and validated for three different PMs in an experimental farm. The map built based on B horizon data showed better accuracy compared to the one built from A horizon samples.
JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
(2023)
Article
Chemistry, Analytical
V. Lavanya, Anshuman Nayak, Shubhadip Dasgupta, Saroj Urkude, Subhadip Dey, Asim Biswas, Bin Li, David C. Weindorf, Somsubhra Chakraborty
Summary: This research introduces a smartphone-integrated imaging device that can detect nitrate (NO3-) and phosphate (PO43-) in soil and water samples. The device uses a low-cost smartphone with a digital camera to capture color photographs of the test solutions. It utilizes standard colorimetric methods to quantify the concentrations of NO3- and PO43- in soil and water samples. The results obtained from the device are comparable to laboratory-grade spectrophotometer data, and it offers a portable solution for measuring these concentrations without the need for expensive equipment.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Analytical
Veerabhadrappa Lavanya, Anshuman Nayak, Partha Deb Roy, Shubhadip Dasgupta, Subhadip Dey, Bin Li, David C. Weindorf, Somsubhra Chakraborty
Summary: A novel chromotropic acid-based color development method was proposed for quick estimation of soil nitrate (NO3-) in this study. By analyzing the mean Value (V) component of the sample's image, a 3D printed device integrated with the rear-end camera of a smartphone and a stand-alone application called SMART NP provided instant predictions of soil NO3- levels. The device exhibited good reliability with a % bias of 0.9% and a precision of 1.95%.
Article
Chemistry, Analytical
Shubin Zhou, Qiuming Cheng, David C. Weindorf, Biying Yang, Zhaoxian Yuan, Jie Yang
Summary: This research explores the feasibility of using portable X-ray fluorescence spectrometry to quantify trace element concentrations in organic materials and establishes calibration and regression models for matrix effect correction and concentration prediction.
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
(2022)
Article
Soil Science
Lindsey Slaughter, Sanjit Deb, Somsubhra Chakraborty, Bin Li, Noura Bakr, Bryanna Edwards, David Weindorf
Summary: This study aimed to evaluate differences in soil properties between pastures and explore their relationship with producer-led sustainable management practices, providing data support for soil health monitoring and resource management.
REVISTA BRASILEIRA DE CIENCIA DO SOLO
(2021)