Article
Agriculture, Multidisciplinary
Mengqi Duan, Xiangyun Song, Xinwei Liu, Dejie Cui, Xiaoguang Zhang
Summary: This study compared different extraction methods and analyzed the effects of feature fusion on digital soil mapping. The fusion of multi-temporal features and texture features was found to effectively improve accuracies of soil type mapping, providing a new idea for improving the accuracy of digital soil mapping.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Environmental Sciences
J. Padarian, U. Stockmann, B. Minasny, A. B. McBratney
Summary: Soils globally are facing threats, with declining soil productivity and health. Soil organic carbon (SOC) plays a crucial role in ensuring food, soil, water, and energy security, as well as biodiversity protection. A semi-mechanistic model based on a worldwide soil database is introduced to monitor SOC stocks at a global scale. The study found that from 2001 to 2020, landcover change led to annual losses of 1.9 Pg SOC, with the tropic and sub-tropic regions experiencing the largest losses.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Sanaz Zare, Ali Abtahi, Seyed Rashid Fallah Shamsi, Philippe Lagacherie
Summary: This study fills the gap in comparing and developing methods for integrating new sources of soil data for DSM by mapping electrical conductivities using real measurements and EM38MK2 measurements. The results show the utility of EM38MK2 data as surrogate input data for mapping soil salinity, with regression co-kriging identified as the best integration method. The impact of EM38MK2 data on performance gains increases as the sizes of real soil salinity measurements decrease, indicating a promising way to tackle constraints of DSM in areas where soil sensing as alternative data is accessible.
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
Yiming Xu, Youquan Tan, Amr Abd-Elrahman, Tengfei Fan, Qingpu Wang
Summary: This study used image fusion techniques to improve the prediction accuracy of SOC models. The fusion of S2 and L8 bands had a stronger effect on enhancing the prediction accuracy compared with the fusion of panchromatic and MS L8 bands.
Article
Soil Science
Long Guo, Peng Fu, Tiezhu Shi, Yiyun Chen, Chen Zeng, Haitao Zhang, Shanqin Wang
Summary: The study highlights the importance of soil organic carbon content for agricultural field management and carbon fluxes understanding. It explores the use of time series of remote sensing images for estimating SOC. Results show the feasibility of mapping SOC in low-relief areas using time series images, with factors like satellite parameters significantly affecting the accuracy of predictions.
SOIL & TILLAGE RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Qiqi Cao, Junran Li, Guan Wang, Dong Wang, Zhiming Xin, Huijie Xiao, Kebin Zhang
Summary: This study analyzed the spatial distribution and influencing factors of soil organic carbon (SOC) and total nitrogen (TN) stocks to the depth of 3 m in a desert oasis ecotone of northwestern China. The results showed that SOC and TN stocks in nabkha dunes were generally higher than in bare sand dunes, and with the extension of cultivation years, the top 0.4 m depths saw significant increases in both SOC and TN stocks on croplands.
Article
Soil Science
Cedrick Nguemezi, Paul Tematio, Francis B. T. Silatsa, Martin Yemefack
Summary: The study assessed the spatial distribution and temporal decline of soil organic carbon in the Tombel area of Southwest Cameroon over 32 years, revealing a rapid expansion of agricultural and built-up areas leading to a decrease in total soil organic carbon. Results indicated that climatic and terrain attributes were the most important predictors of soil organic carbon distribution.
SOIL & TILLAGE RESEARCH
(2021)
Article
Soil Science
Nicolas Augusto Rosin, Jose A. M. Dematte, Raul Roberto Poppiel, Nelida E. Q. Silvero, Heidy S. Rodriguez-Albarracin, Jorge Tadeu Fim Rosas, Lucas Tadeu Greschuk, Henrique Bellinaso, Budiman Minasny, Cecile Gomez, Jose Marques Junior, Kathleen Fernandes
Summary: Minerals are crucial for soil functions and addressing global issues. Soil spectroscopy is a useful tool to measure mineral abundance. This study used spectral data and digital soil mapping techniques to estimate the abundance of minerals in Brazil. The predictions were validated and found to be accurate, revealing the spatial distribution of mineral abundances at a finer resolution than existing maps.
Article
Geosciences, Multidisciplinary
Yassine Bouslihim, Aicha Rochdi, Rachid Aboutayeb, Namira El Amrani-Paaza, Abdelhalim Miftah, Lahcen Hssaini
Summary: Soil aggregate stability (SAS) is a critical parameter of soil quality, and its mapping using adapted random forest algorithm can accurately predict erosion hotspots. The model built in this study showed high accuracy in mapping different mean weight diameter (MWD) tests as an index of SAS, with organic matter, topography, and geology being the most important parameters for spatial prediction. Additionally, the generated maps can help identify areas of less stable soils for quality improvement measures.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Environmental Sciences
Jie Lian, Xiangwen Gong, Xinyuan Wang, Xuyang Wang, Xueyong Zhao, Xin Li, Na Su, Yuqiang Li
Summary: The agropastoral ecotone in northern China is crucial for controlling desertification, and digital maps of soil organic carbon (SOC) stocks are needed to support land degradation neutrality. This study improved the accuracy of SOC prediction in a fragmented desertification landscape by collecting field data and low-altitude aerial images, and using regression kriging. The results provide valuable soil information for policymakers in determining the future status of land degradation.
Article
Environmental Studies
Marco Bascietto, Enrico Santangelo, Claudio Beni
Summary: The study found a significant correlation between the soil colloidal status and the relative quantity of Ca2+ ions in the exchange complex with NDVI variability in wheat cultivation fields, while no relationship emerged between NDVI and soil macronutrients concentration. Therefore, rational soil fertility management requires integrating NDVI data with the overall soil physical/chemical status.
Article
Soil Science
Tongtong Xu, Man Xu, Minna Zhang, Mike Letnic, Jianyong Wang, Ling Wang
Summary: Simulated N deposition in degraded saline-alkaline grasslands has spatial effects on soil organic carbon stocks. N addition decreases species richness and increases microbial C:N ratio, accelerating soil carbon decomposition and reducing SOC stocks in lightly degraded patches. Increased global N deposition does not restore natural soil carbon, and may further deteriorate soil carbon sequestration in certain degraded patches.
Article
Soil Science
Haithem Bahri, Damien Raclot, Meriem Barbouchi, Philippe Lagacherie, Mohamed Annabi
Summary: Better understanding of the quantity and spatial distribution of soil organic carbon (SOC) stock is important for soil quality management, agriculture, and carbon storage decisions. This study proposes a Digital Soil Mapping (DSM) approach to map SOC stocks in Tunisian topsoils. Results show a revised assessment of SOC stock in Tunisian territory, with an average of 2.53 kg/m2 in the first 30 cm of soil profile. The SOC stock map outperforms global DSM products and can serve as a benchmark for land use and climate changes. Improving the quality and quantity of soil profile observations is crucial for future SOC mapping.
Article
Forestry
Yangzhou Xiang, Ying Liu, Xuejiao Yue, Bin Yao, Leiyi Zhang, Ji He, Yang Luo, Xiuyue Xu, Jizhang Zong
Summary: The study found that afforestation with Robinia pseudoacacia significantly increased soil organic carbon and total nitrogen stocks, with the increase increasing with plantation age and altitude, but decreasing with factors such as mean annual temperature, slope gradients, soil depth, soil clay content, initial SOC content, and initial STN content. Among four kinds of biotic and abiotic factors, plantation attributes made the greatest contributions to the variance in the response size of SOC and STN stocks.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Soil Science
Shuai Wang, Qianlai Zhuang, Shuhai Jia, Xinxin Jin, Qiubing Wang
Article
Engineering, Civil
Xinxin Jin, Shuai Wang, Na Yu, Hongtao Zou, Jing An, Yuling Zhang, Jingkuan Wang, Yulong Zhang
JOURNAL OF HYDROLOGY
(2018)
Article
Soil Science
Yan Wang, Shuai Wang, Kabindra Adhikari, Qiubing Wang, Yueyu Sui, Gang Xin
Article
Agronomy
Zhenxing Bian, Xiaoyu Guo, Shuai Wang, Qianlai Zhuang, Xinxin Jin, Qiubing Wang, Shuhai Jia
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
(2020)
Article
Green & Sustainable Science & Technology
Li Qi, Shuai Wang, Qianlai Zhuang, Zijiao Yang, Shubin Bai, Xinxin Jin, Guangyu Lei
Article
Forestry
Shuai Wang, Qianlai Zhuang, Zijiao Yang, Na Yu, Xinxin Jin
Article
Environmental Sciences
Shuai Wang, Jinhu Gao, Qianlai Zhuang, Yuanyuan Lu, Hanlong Gu, Xinxin Jin
Article
Agriculture, Multidisciplinary
Xiaoyu Guo, Zhenxing Bian, Shuai Wang, Qiubing Wang, Yufei Zhang, Jun Zhou, Lin Lin
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2020)
Article
Environmental Sciences
Shuai Wang, Kabindra Adhikari, Qianlai Zhuang, Hanlong Gu, Xinxin Jin
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Environmental Sciences
Shuai Wang, Mingyi Zhou, Qianlai Zhuang, Liping Guo
Summary: The study used remote sensing data to predict the soil organic carbon (SOC) density in coastal wetland ecosystems in Northeast China. The full variable model outperformed the other two models, with the addition of remote sensing-related variables significantly improving the predictive performance. SAVI, NDVI, and DVI were identified as the main environmental factors influencing the spatial variation of topsoil SOC density in flat terrain coastal wetlands.
Review
Environmental Studies
Xiaochen Liu, Shuai Wang, Qianlai Zhuang, Xinxin Jin, Zhenxing Bian, Mingyi Zhou, Zhuo Meng, Chunlan Han, Xiaoyu Guo, Wenjuan Jin, Yufei Zhang
Summary: This study investigates the research on carbon sources and sinks in arable land ecosystems by summarizing various studies. The findings reveal that the factors influencing carbon sources and sinks in arable land ecosystems are highly heterogeneous and complex due to differences in climate patterns, soil properties, and management practices. The evaluation of carbon sources and sinks in these ecosystems is also affected by uncertainties caused by different estimation models and methods.