Article
Soil Science
Rose Z. Abramoff, Bertrand Guenet, Haicheng Zhang, Katerina Georgiou, Xiaofeng Xu, Raphael A. Viscarra Rossel, Wenping Yuan, Philippe Ciais
Summary: The Millennial V2 model is developed to simulate C pools that can be measured by extraction or fractionation, showing improved performance in simulating total soil organic C and fractionation fractions compared to the widely-used Century model. The updated processes in Millennial V2 reflect the current understanding of soil C cycling and demonstrate the importance of microbial activity, mineral association, and aggregation in soil C sequestration.
SOIL BIOLOGY & BIOCHEMISTRY
(2022)
Article
Biodiversity Conservation
Bo Yi, Chaoqun Lu, Wenjuan Huang, Wenjuan Yu, Jihoon Yang, Adina Howe, Samantha R. Weintraub-Leff, Steven J. Hall
Summary: Confidence in model estimates of soil CO2 flux relies on assumptions about fundamental mechanisms controlling litter and soil organic carbon decomposition. We used data-model fusion with modified versions of the CN-SIM model and a 571-day laboratory incubation dataset to test competing mechanisms for lignin decomposition. Our findings indicate that the role of lignin and its decomposition can be accurately estimated by considering soil biogeochemical factors, substrate availability, soil pH, extractable Mn, and fungal community composition.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Soil Science
Chenli Liu, Wenlong Li, Jing Xu, Wei Wei, Pengfei Xue, Hepiao Yan
Summary: In this study, a meta-analysis of 53 peer-reviewed publications was conducted to explore the effects of grazing on soil nutrient levels in alpine grasslands. The results showed that grazing significantly decreased soil organic carbon, total nitrogen, total phosphorus, available phosphorus, soil moisture, and soil C:N ratio, while increasing soil bulk density and temperature. The effects of grazing on soil nutrients varied with grazing intensity, season, livestock type, and grazing duration, providing insights into sustainable management strategies in alpine grassland ecosystems on the Qinghai-Tibet Plateau.
SOIL & TILLAGE RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Rui-Zhe Wang, Xia Hu
Summary: Soils in alpine ecosystems are significant carbon sinks, with soil aggregates and their pore structure playing a crucial role in carbon sequestration. This study examined the soil pore structure, carbon content, and their relationships in three typical alpine ecosystems in the Qinghai-Tibet Plateau. The results revealed the dominance of small macroaggregates and microspores in the soil aggregates, as well as the correlation between carbon content and pore characteristics. Additionally, the study highlighted the impact of soil water content and particle compositions on soil organic carbon in different alpine ecosystems.
Article
Construction & Building Technology
Minxia Chen, Jifeng Lei, Xiwang Xiang, Minda Ma
Summary: The rapidly growing carbon emissions from residential building operations in China pose a challenge to achieving carbon-neutrality by 2060, but also indicate significant potential for carbon mitigation. This study investigates the factors driving carbon emissions and assesses changes in carbon mitigation in residential buildings across 30 Chinese provinces from 2000 to 2018. The findings reveal an increase in operational carbon intensity in most provinces, with North China and Northeast China exhibiting the highest average annual carbon mitigation intensity.
Article
Soil Science
Xinying Zhang, Juan Jia, Litong Chen, Haiyan Chu, Jin-Sheng He, Yangjian Zhang, Xiaojuan Feng
Summary: This study provides regional-scale data on MNC accumulation in alpine grasslands of the Qinghai-Tibet Plateau, showing that the grasslands have low MNC concentrations in SOC due to high aridity and low net primary productivity. The findings highlight the influences of climate and plant factors on MNC accumulation at regional scales.
SOIL BIOLOGY & BIOCHEMISTRY
(2021)
Article
Geosciences, Multidisciplinary
Yu-Jun Ma, Ting Xie, Xiao-Yan Li
Summary: Soil organic carbon (SOC) on the Qinghai-Tibet plateau plays a significant role in global carbon dynamics. This study assessed the SOC stock and spatial patterns in the Qinghai Lake watershed. The results showed that SOC content decreased with depth and varied among different vegetation types. Soil profile depth, soil water content, and NDVI together explained a large portion of the variation in SOC density. The regression-kriging method was found to be the best approach for predicting SOC in the study area. The assessment revealed high storage and heterogeneity of SOC in the watershed, with implications for the sustainability of regional terrestrial ecosystems.
Article
Agriculture, Multidisciplinary
Rachel Wooliver, Sindhu Jagadamma
Summary: Agroecosystems have a large potential for soil carbon sequestration, and cover cropping is an effective management practice that can enhance soil carbon while providing other ecological and agronomic benefits. However, the distribution of added carbon across different soil organic carbon fractions is still not well understood. A meta-analysis of 49 studies showed that cover cropping significantly increased both particulate organic carbon (POC) and mineral-associated organic carbon (MAOC) concentrations and stocks, with POC being more responsive than MAOC. This information can guide future efforts in carbon sequestration and sustainable agriculture.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Xianhua Wu, Shaoli He, Ji Guo, Weiheng Sun
Summary: In this study, the EMD-WA model was used to analyze the multi-scale periodicity of PM2.5 concentration in the Yangtze River Delta region in China, revealing seasonal, short, medium, and long period characteristics. This research provides important insights for government policy-making on energy conservation, emission reduction, and air pollution control, as well as offers a strong basis for haze prediction.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Geosciences, Multidisciplinary
Sheron Y. Luk, Katherine Todd-Brown, Meagan Eagle, Ann P. McNichol, Jonathan Sanderman, Kelsey Gosselin, Amanda C. Spivak
Summary: The study highlights the importance of soil organic carbon accumulation and preservation for salt marsh survival under sea-level rise. Different processes, such as marsh grass production, redeposition of old carbon, and microbial reworking, contribute to the development of marsh soil organic carbon. Decomposition decreases the thermal reactivity of soil organic carbon, while disturbances like ponding can accelerate this shift, especially in surface horizons. The turnover rates of geochemically defined soil organic carbon pools, ranging from centuries to millennia, can help refine predictions of salt marsh sustainability.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Physics, Multidisciplinary
Jung-Hoon Cho, Dong-Kyu Kim, Eui-Jin Kim
Summary: This study investigates the causal relationship between the spread of COVID-19 and mobility level using ensemble empirical mode decomposition and causal decomposition approach. The findings show that mobility level is highly associated with the long-term variations of COVID-19 cases, and the intrastate causal strength is influenced by median age and political orientation. Interstate causality results reveal a negative association with interstate distance and a positive association with airline traffic. Clustering analysis shows that states with higher gross domestic product and more political democracy tend to adhere more to social distancing.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Soil Science
Junjun Wu, Hong Zhang, Yontai Pan, Xiaoli Cheng, Kerong Zhang, Guihua Liu
Summary: Soil organic carbon (SOC) consists of heterogeneous pools with different properties. This study explored the effects of nitrogen (N) addition on particulate organic carbon (POC) and mineral-associated organic carbon (MAOC) in SOC. The results showed that N addition significantly increased POC by 20.6% and decreased MAOC by 4.5%, leading to a higher proportion of POC in bulk SOC and a lower proportion of MAOC. The response of POC to N addition was negatively correlated with pH and microbial biomass carbon, while the response of MAOC was positively correlated with these factors.
SOIL & TILLAGE RESEARCH
(2023)
Article
Geography, Physical
Laura Almendra-Martin, Jose Martinez-Fern, Maria Piles, Angel Gonzalez-Zamora, Pilar Benito-Verdugo, Jaime Gaona
Summary: This study examines the trends of soil moisture in Europe using two complementary databases. The results show a general decreasing trend of soil moisture in Europe, with more intense changes in Central and Eastern Europe. Additionally, the study finds an increase in the duration and intensity of extreme droughts across the continent.
GLOBAL AND PLANETARY CHANGE
(2022)
Article
Ecology
Ernest D. Osburn, Peter J. Hoch, Jane M. Lucas, Steven G. McBride, Michael S. Strickland
Summary: Soil biota are considered as a major factor influencing litter decomposition, but the exact mechanisms are unclear. This study found functional differences among decomposer communities, with functional breadth playing a more important role than home-field advantage. There is a relationship between microbial life-history strategies and litter decomposition functions. Home-field advantage is not evident under high functional breadth conditions. These findings provide insights into the mechanisms by which microbial communities influence leaf litter decomposition.
FUNCTIONAL ECOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Xiaodong Wang, Yang Xiao, Xinrui Luo, Chenyu Ye, Yuzhuo Chen, Jincheng Xiang, Ningfei Lei, Ci Song, Xiangjun Pei, Xiaolu Tang
Summary: This study investigated the short-term effects of tunnel construction on soil organic carbon (SOC) and soil enzyme activity in two shrublands in Eastern Tibet Plateau. The results showed that tunnel construction had minor impacts on SOC dynamics and soil enzymes in the early stage. Additionally, vegetation type had a significant impact on SOC and soil enzymes, highlighting the importance of vegetation control.
Article
Geosciences, Multidisciplinary
Wu Yu, Yefeng Jiang, Wandong Liang, Dan Wan, Bo Liang, Zhou Shi
Summary: Quantifying the spatial distribution of soil erodibility (K factor) in the Qinghai-Tibet Plateau is important for global soil erosion management. A random forest model was used to map the high-resolution spatial distribution of K factor values in southeastern Tibet, providing detailed information even in unsampled areas. The study also found that soil physical properties, climate, and topography have a significant influence on the K factor.
Article
Environmental Sciences
Yanyu Wang, Ziqiang Ma, Yuhong He, Wu Yu, Jinfeng Chang, Dailiang Peng, Xiaoxiao Min, Hancheng Guo, Yi Xiao, Lingfang Gao, Zhou Shi
Summary: This study characterized the spatiotemporal pattern and variation of vegetation disturbances on the Tibetan Plateau (TP) over the past decades, and identified the disturbance agents. The results showed that approximately 29.34% of the TP's area (75.71 M ha) experienced at least one disturbance, with 8.44 M ha area being subject to large-scale disturbances. The spatial distribution of these disturbances varied over time, with even distribution before 2002 possibly due to overgrazing and unscientific livestock management, and concentration in the south of the Yarlung Tsangpo after 2002 mainly caused by anthropogenic activities.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Soil Science
Ruiying Zhao, Wenxin Zhang, Zheng Duan, Songchao Chen, Zhou Shi
Summary: Calibrating ecosystem models through data assimilation can provide reliable estimates of soil carbon pool and fluxes in grasslands of the Qinghai-Tibet Plateau, improving the overestimation of the default model.
Article
Environmental Sciences
Hancheng Guo, Yanyu Wang, Jie Yu, Lina Yi, Zhou Shi, Fumin Wang
Summary: Understanding terrestrial ecosystem dynamics requires a comprehensive examination of vegetation changes. Remote sensing technology has been established as an effective approach to comprehensively assess vegetation change. In this study, a novel framework integrating short-term disturbance detection and long-term trend analysis was proposed and applied to characterize vegetation changes in Zhejiang Province from 1990 to 2020. The results showed a browning trend in the plains and a greening trend in the mountains, with an overall greening of the vegetation during the study period.
ENVIRONMENTAL RESEARCH
(2023)
Article
Soil Science
Xiaolin Jia, Modian Xie, Bifeng Hu, Yin Zhou, Hongyi Li, Wanru Zhao, Wanming Deng, Zhou Shi
Summary: Accurate measurement of soil organic carbon (SOC) is crucial for managing agricultural production and mitigating climate change. This study validates the effectiveness of visible near-infrared spectroscopy for predicting SOC content at a local field scale in Tibet. By using direct standardization algorithms, environmental factors were successfully removed from the in situ spectra, leading to improved prediction accuracy. The results showed that the local spectral library models outperformed the national spectral library models, particularly for shrub meadows, forests, and the overall dataset.
EURASIAN SOIL SCIENCE
(2023)
Article
Soil Science
Meihua Yang, Songchao Chen, Dongyun Xu, Yongsheng Hong, Shuo Li, Jie Peng, Wenjun Ji, Xi Guo, Xiaomin Zhao, Zhou Shi
Summary: The large-scale soil spectral library (SSL) provides abundant information for predicting soil properties, but using SSL for predicting soil information from in situ spectra is still a challenge. This study compared different strategies for predicting soil organic matter (SOM) using SSL and found that the mean squared Euclidean distance (msd) is an optimal indicator for selecting representative samples. The recommended strategy depends on the availability of in situ and dry spectra. These findings contribute to efficient SOM prediction in situ by integrating large-scale SSL.
Article
Soil Science
Songchao Chen, Nicolas P. A. Saby, Manuel P. Martin, Bernard G. Barthes, Cecile Gomez, Zhou Shi, Dominique Arrouays
Summary: Digital soil mapping is seen as an efficient approach to evaluate soil ecosystem services by providing fine-resolution and up-to-date soil information. However, limited budget for field work and soil laboratory analysis has led to the development of spectroscopy as an alternative method for rapid and cost-effective soil data collection. This study evaluates the potential of spectroscopically inferred (SI) data in digital soil mapping of soil properties at a national scale and shows that adding additional SI data can improve the accuracy of digital soil maps.
Article
Environmental Sciences
Yefeng Jiang, Huading Shi, Lina Yi, Songchao Chen, Yin Zhou, Jieliang Cheng, Mingxiang Huang, Zhou Shi
Summary: By analyzing 188 peer-reviewed articles published between 2004 and 2022, it was found that potentially toxic elements in soils from industrial and mining sites in China pose a public health risk. The concentrations of eight elements, including As, Cd, Hg, and Pb, were significantly higher than background values, and a considerable proportion of the examined sites exceeded soil risk screening values. The study also demonstrated the ecological and health risks associated with these elements, highlighting the need for control measures.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Bifeng Hu, Modian Xie, Hongyi Li, Rebin He, Yue Zhou, Yefeng Jiang, Wenjun Ji, Jie Peng, Fang Xia, Zongzheng Liang, Wanming Deng, Junjie Wang, Zhou Shi
Summary: The study investigates the spatio-temporal variation of soil nutrients and soil organic matter (SOM) in farmland over Jiangxi Province in Southern China. Based on a dataset of soil samples collected between 2005 and 2012, the study examines the changes in SOM, available nitrogen (N), phosphorus (P), potassium (K), pH, and cation exchange capacity. The results indicate significant temporal trends in the concentrations of SOM, available P, available N, and available K, with climate and soil management practices playing a dominant role in determining soil fertility.
JOURNAL OF SOILS AND SEDIMENTS
(2023)
Review
Environmental Sciences
Yadong Guo, Zhenzhong Zeng, Junjian Wang, Junyu Zou, Zhou Shi, Songchao Chen
Summary: This review provides a concise framework for understanding the impact of climate change on soil organic carbon (SOC) dynamics. While valuable insights have been gained, there are still knowledge gaps that need to be addressed. Future research should focus on standardizing organismal traits, SOC fractions, and the interactions and biochemical pathways of biological communities. By integrating multidisciplinary knowledge and utilizing new technologies and methodologies, the accuracy of models can be enhanced, providing a scientific foundation for mitigating climate change.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Soil Science
Jie Xue, Xianglin Zhang, Songchao Chen, Rui Lu, Zheng Wang, Nan Wang, Yongsheng Hong, Xueyao Chen, Yi Xiao, Yuxin Ma, Zhou Shi
Summary: This study investigates the potential of visible near-infrared and mid-infrared spectroscopy, as well as three model averaging methods, in predicting soil health properties. The results show that the combination of mid-infrared spectroscopy and the S-GEM model performs the best in predicting soil organic matter and pH.
Article
Soil Science
Yongsheng Hong, Songchao Chen, Bifeng Hu, Nan Wang, Jie Xue, Zhiqing Zhuo, Yuanyuan Yang, Yiyun Chen, Jie Peng, Yaolin Liu, Abdul Mounem Mouazen, Zhou Shi
Summary: Visible-to-near-infrared (vis-NIR) and mid-infrared (MIR) spectroscopy are widely used to estimate soil organic carbon (SOC). The fusion of vis-NIR and MIR data can provide accurate prediction for SOC as the individual sensor range may lack important features. Six data fusion strategies were compared, with PI-CNN achieving the best accuracy (validation R2 = 0.84) for SOC estimation. The better performance of PI-CNN over DC-CNN demonstrates the necessity of using different kernel sizes in the CNN network for fusing vis-NIR and MIR spectral data. The deep-learning fusion method based on PI-CNN is an efficient tool for integrating data from multiple sensors in soil spectral modeling.
Article
Environmental Sciences
Bifeng Hu, Hanjie Ni, Modian Xie, Hongyi Li, Yali Wen, Songchao Chen, Yin Zhou, Hongfen Teng, Hocine Bourennane, Zhou Shi
Summary: Soil organic matter (SOM) is crucial for terrestrial ecosystem functioning and is linked to global issues such as soil fertility, soil health, and climate regulation. This study collected 16,580 soil samples from farmland in Jiangxi Province and compared different models to determine the factors influencing SOM. Anthropogenic activities were found to strongly affect SOM levels, with the amount of straw return being the most important factor (31.46%). The study also showed that returning straw can improve crop production and SOM content.
LAND DEGRADATION & DEVELOPMENT
(2023)
Article
Geosciences, Multidisciplinary
Yongsheng Hong, Jonathan Sanderman, Tomislav Hengl, Songchao Chen, Nan Wang, Jie Xue, Zhiqing Zhuo, Jie Peng, Shuo Li, Yiyun Chen, Yaolin Liu, Abdul Mounem Mouazen, Zhou Shi
Summary: This study used a globally distributed topsoil MIR spectral library to predict SOC using different modeling methods. The results showed that fractional-order derivatives (FODs) improved the prediction accuracy of SOC. The 0.75-order derivative was found to be optimal for ratio index-based linear regression (RI-LR) models, while the convolutional neural network (CNN) model outperformed other models for full-spectrum modeling.