Article
Multidisciplinary Sciences
Zefang Shen, R. A. Viscarra Rossel
Summary: A method for automatically tuning one-dimensional CNNs was proposed to optimize hyperparameters and improve model performance, demonstrating better results and faster convergence compared to random search. The optimal model produced the most accurate estimates of soil organic carbon content, with hyperparameters critically affecting model performance.
SCIENTIFIC REPORTS
(2021)
Article
Soil Science
Xiaohan Mo, Mengke Wang, Yinghui Wang, Xunwen Chen, Ang Zhang, Hui Zeng, Yan Zheng, Deliang Kong, Junjian Wang
Summary: Rhizosheaths are aggregated, sheath-like soils that physically adhere to root surface, and they have distinct soil organic carbon (SOC) signatures from rhizosphere soils of non-rhizosheath forming plants. The molecular characteristics of rhizosheath SOC, including more root inputs of labile substrates and relatively recalcitrant compounds, as well as its temporal dynamics, suggest a critical role of rhizosheath in shaping the rhizosphere microenvironment and regulating SOC cycling.
SOIL BIOLOGY & BIOCHEMISTRY
(2022)
Article
Geosciences, Multidisciplinary
Zi-Qiang Yuan, Xiao-Jin Jiang
Summary: Through redundancy analysis of Tibetan alpine meadows, this study identified key factors and interactions driving soil SOC and N contents, emphasizing the importance of considering the covariation of vegetation and soil when evaluating SOC and N dynamics.
Article
Environmental Sciences
Simone Zepp, Uta Heiden, Martin Bachmann, Martin Wiesmeier, Michael Steininger, Bas van Wesemael
Summary: This research utilized Earth Observation data to conduct composite mapping of soil in Bavaria, Germany over multiple years, estimating soil organic carbon (SOC) content using different machine learning algorithms, and successfully predicting SOC content using the Random Forest (RF) model.
Article
Agriculture, Multidisciplinary
Janine Moll-Mielewczik, Sonja G. Keel, Andreas Gubler
Summary: Long-term monitoring of soil organic carbon (SOC) content and stocks is crucial for climate change and carbon sequestration. Field data and models are used to report changes in SOC stocks and validate models. This study presents SOC measurements from 1985 to 2014 in Swiss grassland sites and compares them with predictions from the RothC model. While there was no general trend in measured data, the model showed a good fit in two-thirds of the cases.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Soil Science
Meng Guo, Bo Zhao, Yangxue Wen, Jingjing Hu, Amin Dou, Zhiwei Zhang, Junpeng Rui, Wenjin Li, Qiang Wang, Jianxiao Zhu
Summary: SOC quality plays a primary role in the elevational pattern of CO2-C release in Tibetan alpine grassland. The proportion of stable SOC fractions in larger initial SOC stocks is higher, which could be the potential mechanism behind lower soil CO2-C release.
Article
Environmental Sciences
Xixi Liu, Zhongya Yan, Jianping Wang
Summary: Visible and near-infrared (vis-NIR) reflectance spectroscopy is a convenient, rapid, and effective method for monitoring soil organic matter (SOM) content. However, its accuracy is affected by factors such as soil moisture. This study investigated the synchronized dewatering measured-value fuzzification (SDMF) method to reduce the effect of soil moisture during vis-NIR modeling, and achieved improved estimation accuracy.
JOURNAL OF APPLIED REMOTE SENSING
(2023)
Article
Soil Science
Asa Gholizadeh, Raphael A. Viscarra Rossel, Mohammadmehdi Saberioon, Lubos Boruvka, Josef Kratina, Lenka Pavlu
Summary: This study evaluates the potential of vis-NIR spectroscopy for classifying and predicting the SOC concentration of organic and mineral horizons in forests of the Czech Republic. Results show that vis-NIR spectroscopy can effectively characterize the highly variable SOC concentration of forest soil horizons in Czech Republic.
Review
Environmental Studies
Vasileios Tsolis, Pantelis Barouchas
Summary: This literature review examines the assessment of biochar quality and its impact on soil properties through diffuse reflectance spectroscopy. Biochar, produced from biomass pyrolysis, is known for its positive effects on soil fertility and carbon sequestration. The review emphasizes the need for systematic research on biochar stability and highlights the potential of diffuse reflectance spectroscopy for analyzing soil-biochar interactions.
Article
Environmental Sciences
Sheng Wang, Kaiyu Guan, Chenhui Zhang, DoKyoung Lee, Andrew J. Margenot, Yufeng Ge, Jian Peng, Wang Zhou, Qu Zhou, Yizhi Huang
Summary: Soil organic carbon (SOC) is an important variable for soil functioning, ecosystem services, and global carbon cycles. This study evaluated the performance of different machine learning algorithms and spectral data preprocessing methods in predicting SOC concentration using a large soil spectral library. The study also simulated airborne and spaceborne remote sensing data to assess their potential in estimating surface SOC concentration. The results showed that the Long Short-Term Memory (LSTM) algorithm achieved the best predictive performance, and the shortwave infrared was found to be vital for monitoring surface SOC using remote sensing sensors. The study highlights the high accuracy of LSTM with hyperspectral/multispectral data in quantifying surface SOC concentration and the potential of upcoming satellite missions for global soil carbon monitoring.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Soil Science
Jiwei Li, Zhouping Shangguan, Lei Deng
Summary: Grazing exclusion is an effective strategy for recovering degraded grasslands and increasing carbon accumulation. This study investigated the response of soil organic carbon (SOC) and its components to grazing exclusion during long-term succession, revealing that grazing exclusion duration and soil depth significantly affected the contents of SOC, free particulate organic carbon (fPOC), occluded particulate organic carbon (oPOC), and mineral-associated organic carbon (MOC). The findings suggest that grazing exclusion can promote SOC accumulation and contribute to SOC formation in both topsoil and subsoil.
SOIL & TILLAGE RESEARCH
(2022)
Article
Biodiversity Conservation
Yuan Yao, Junda Chen, Fei Li, Mingwei Sun, Xuechen Yang, Gui Wang, Jianying Ma, Wei Sun
Summary: Grassland degradation leads to the loss of soil organic carbon, and the degree of degradation is negatively correlated with organic carbon content. Plant biomass reduction, decrease in soil aggregate quality, and decrease in exchangeable cation content are the main factors influencing soil organic carbon loss during degradation. Grassland degradation also leads to an increase in microbial carbon use efficiency. Stabilization mechanisms linked to chemical stabilization by polyvalent cations and soil aggregation are the most important controlling factors on soil organic carbon content during grassland degradation.
ECOLOGICAL INDICATORS
(2022)
Article
Geography, Physical
A. J. Gibson, G. R. Hancock, D. C. Verdon-Kidd, C. Martinez, T. Wells
Summary: The study reveals that soil organic carbon concentrations are highest in Southeast Australia, but may decrease in the future due to the extension of arid climate conditions. Temperature, elevation, and vegetation index are identified as the significant drivers of SOC concentrations.
GLOBAL AND PLANETARY CHANGE
(2021)
Article
Geosciences, Multidisciplinary
Zhouchang Yu, Wei Zhang, Yushu Liu, Ling Cao, Yongfei Bai, Xiaopin Xin, Yi Zhou, Zhiguo Xie, Tianming Hu, Peizhi Yang
Summary: Establishment of artificial grassland and abandoned farmland are effective measures to increase soil carbon sequestration and mitigate global warming. However, the differences in carbon sequestration efficiency and mechanisms between the two methods at different times and soil depths are still unclear.
Article
Ecology
Yankun Zhu, Haihua Shen, Yinping Feng, He Li, Damilare Stephen Akinyemi, Huifeng Hu, Jingyun Fang
Summary: Shrub encroachment can lead to changes in soil aggregates and associated organic carbon, with varying effects at different soil depths and in different grassland types. Determining the size structure of soil aggregates and their relation to carbon content is necessary for accurately predicting SOC dynamics with shrub encroachment.