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 Studies
Xiaogang Ding, Zhengyong Zhao, Zisheng Xing, Shengting Li, Xiaochuan Li, Yanmei Liu
Summary: In this study, intensive soil sampling in subtropical forests in China was conducted to predict Cd concentration using artificial neural network models. Soil Cd concentration was found to be related to soil depth, properties, and DEM-related variables. The models showed acceptable accuracy and can be used to assess the large-scale impact of Cd on environmental quality.
Article
Thermodynamics
Ali Sohani, Siamak Hoseinzadeh, Saman Samiezadeh, Ivan Verhaert
Summary: An enhanced design for a solar still desalination system was employed to develop artificial neural network (ANN) models, with FF and RBF types identified as the best structures for predicting distillate production and water temperature. Error analysis on data not used for ANN model development showed varying errors in different months.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Environmental Sciences
Xuezhu Cui, Shaoying Li
Summary: High carbon emissions have had a significant impact on global climate change, making cities with rapid urbanization responsible for local carbon mitigation. This study established a land-based carbon flow network framework using 15 land use types as network nodes to track carbon emissions/sequestration, analyze the carbon network and utility, and identify carbon change mechanisms. By studying Guangzhou city as an empirical case, the carbon metabolism patterns showed increasing emissions expansion and spatial differentiation. Exploitation activities significantly contributed to carbon emissions in the early 2000s but decreased over time. The dominant carbon relationship in the built-up area shifted from exploitation to mutualism, leading to increased carbon emissions in certain periods and increased carbon sequestration in others.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Environmental
Ankit Tyagi, Reet Kamal Tiwari, Naveen James
Summary: This study presents a scientific method to identify the most significant landslide-causing parameters for an enhanced LSM analysis, and proposes a LSM model for the Himalayan region to improve landslide prediction accuracy.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Soil Science
A. J. Gibson, G. R. Hancock, D. Bretreger, T. Cox, J. Hughes, V Kunkel
Summary: This study examined the impact of DEM resolution on the relationship between topography and SOC, finding that SOC could be predicted using topography in a catchment-wide dataset but not in a finer-scale dataset. Elevation was identified as the main driver at the catchment scale, while topographic variables linked to soil redistribution were more important at finer scales. This suggests that SOC estimation methods using coarse resolution DEM data may have limitations in capturing the effect of topography, which could impact SOC management and modeling.
Review
Computer Science, Information Systems
Zengchen Yu, Ke Wang, Zhibo Wan, Shuxuan Xie, Zhihan Lv
Summary: Due to its automatic feature learning ability and high performance, deep learning has gradually become the mainstream of artificial intelligence in recent years, playing a role in many fields. This paper introduces several deep learning algorithms such as Artificial Neural Network (NN), FM-Deep Learning, Convolutional NN and Recurrent NN, and explains their theory, development history, and applications in disease prediction. The paper also analyzes the current defects in the disease prediction field and provides some current solutions. Furthermore, it discusses two major trends in the future disease prediction and medical field - integrating Digital Twins and promoting precision medicine.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Mustapha Mukhtar, Ariyo Oluwasanmi, Nasser Yimen, Zhang Qinxiu, Chiagoziem C. Ukwuoma, Benjamin Ezurike, Olusola Bamisile
Summary: This study develops two novel hybrid neural network models for accurate prediction of global solar radiation. Compared with traditional artificial neural network models, the hybrid models show better performance in different countries across Africa. The results of this study are of great significance for finding more accurate methods of solar radiation estimation.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Environmental
Bingyang He, Xingyu Zhu, Zhizhi Cang, Yang Liu, Yuxin Lei, Zhaohou Chen, Yanlin Wang, Yongchao Zheng, Daqiang Cang, Lingling Zhang
Summary: The utilization of steel slag for CO2 sequestration is an effective way to reduce carbon emissions, but there are many unresolved issues in practical applications. In this study, 318 samples were collected to investigate the factors influencing the carbonation reactivity of steel slag, and machine learning models were built to predict its CO2 sequestration ability. The results showed that the process parameters had a greater impact than the material parameters.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Agronomy
Yogesh Shahare, Mukund Partap Singh, Prabhishek Singh, Manoj Diwakar, Vijendra Singh, Seifedine Kadry, Lukas Sevcik
Summary: Different soil characteristics in India affect agriculture growth. Soil enzymes play a crucial role in mediating biochemical reactions in the soil. The Random Forest model outperforms other models in evaluating soil enzyme activity, achieving high accuracy in predicting cellulase and N-acetyl-glucosaminidase enzyme activity.
Article
Construction & Building Technology
Zhi-jiao Zhang, Zhong-xian Liu, Hai Zhang, Si-bo Meng, Ji-hao Shi, Jia-wei Zhao, Cheng-qing Wu
Summary: This study systematically investigates critical parameters that affect gas explosion loads in the utility tunnel and establishes an explosion load model using the artificial neural network. The results show that the methane volume and cross-sectional size of the utility tunnel have the most significant impact on natural gas explosion. The ANN-predicted model is efficient and quick to estimate the gas explosion loads for structural dynamics analysis.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Manish Kumar, Ahlad Kumar, Vinay S. Palaparthy
Summary: The research aims to develop an expert system for predicting various fungal diseases using a multi-layer perceptron model for disease classification, which effectively detects plant diseases and increases production.
IEEE SENSORS JOURNAL
(2021)
Article
Environmental Studies
Zhengyong Zhao, Qi Yang, Xiaogang Ding, Zisheng Xing
Summary: A new modeling method was introduced in this study to map high-resolution soil nutrient regimes and moisture regimes for designing ecosites. Using artificial neural network models and data validation, accurate estimates of soil nutrient regimes and moisture regimes were obtained, demonstrating the potential application value of this method.
Article
Biochemistry & Molecular Biology
Richa, Anirban Roy Choudhury
Summary: The current study focused on analysing and predicting the effect of physicochemical parameters on the rheological properties of a novel polysaccharide-based bigel. This is the first study to report a bigel fabricated entirely from polysaccharides and develop a neural network to predict the modulation in its rheology. The results showed that the organic phase had a significant influence on the mechanical strength and surface morphology of the bigel, while changes in pH had little effect but changes in temperature led to noticeable changes in rheology.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Chemistry, Multidisciplinary
Wenteng Gong, Liansheng Tang, Yang Chen, Zihua Cheng
Summary: The purpose of this study is to establish a convenient and reliable soil property prediction model based on mineral composition. Using artificial neural network methods, prediction models for various soil properties were developed, and models with poor prediction accuracy were optimized using a genetic algorithm. The results demonstrate that the neural network model based on mineral composition can accurately predict soil properties with high applicability. This research provides a method for accurately predicting the majority of engineering properties of soil using experimental data on mineral composition, which is significant for cost savings and improving work efficiency in engineering projects.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Feng Liu, Huayong Wu, Yuguo Zhao, Decheng Li, Jin-Ling Yang, Xiaodong Song, Zhou Shi, A-Xing Zhu, Gan-Lin Zhang
Summary: Traditionally, soil spatial information has been presented as coarse polygon maps. However, solving global and local issues requires higher quality and more detailed soil information. In this study, we integrated predictive soil mapping paradigms and high-performance computing to generate high-resolution national gridded maps of nine soil properties at multiple depths across China. The predictions achieved significantly more detailed and accurate results compared to previous soil maps, making it a significant contribution to the GlobalSoilMap.net project.
Article
Environmental Sciences
Rui-Rui Wang, Hui-Min Yu, Wen-Han Cheng, Yu-Chen Liu, Gan-Lin Zhang, De-Cheng Li, Fang Huang
Summary: This study investigated the migration of copper in paddy soils and explored the coupling relationship between copper concentrations and isotope compositions in different layers. The results showed that the variations in delta Cu-65 values and Cu concentrations were not coupled along the profile, which could be attributed to various physicochemical conditions in different layers. This study provides valuable insights into understanding the copper migration in paddy soils.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Yue Dong, Jin-Ling Yang, Xiao-Rui Zhao, Shun-Hua Yang, Jan Mulder, Peter Dorsch, Xin-Hua Peng, Gan-Lin Zhang
Summary: Soil acidification and base cation loss are significant problems in the subtropical red soil region of China, particularly in agroecosystems with high nitrogen fertilization. This study assessed the current status and future risk of soil acidification in a typical agricultural watershed using a two-year monitoring approach. The results showed that while significant soil acidification occurred, surface water acidification was minor, indicating the buffer capacity of the soils. However, there was a substantial loss of base cations, depleting the exchangeable pool in the watershed and posing a serious threat to soil recovery from acidification.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Yue Dong, Jin-Ling Yang, Xiao-Rui Zhao, Shun-Hua Yang, Jan Mulder, Peter Dorsch, Gan-Lin Zhang
Summary: Nitrogen fertilization affects soil pH and nitrogen transformations, resulting in soil acidification during the growing season and pH recovery during the fallow period. The effect of parent material on soil acidification is minimal, with fertilization, environmental factors, and plant uptake playing a dominant role.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geography, Physical
Huayong Wu, Xiaodong Song, Feng Liu, Decheng Li, Gan-Lin Zhang
Summary: This study focuses on the effect of topography on the structure of the critical zone in a low hilly region. Seismic refraction and borehole surveys were conducted to examine the thickness of the regolith and the underlying bedrock. The results show that topography controls the distribution of different layers and the overall structure of the critical zone.
EARTH SURFACE PROCESSES AND LANDFORMS
(2022)
Article
Engineering, Civil
Fei Yang, David G. Rossiter, Yue He, Volker Karius, Gan-Lin Zhang, Daniela Sauer
Summary: Loess content has significant effects on soil hydrological properties in coarse-textured soils, especially in subsoils with low SOC contents. However, for coarse-textured topsoils, SOC content plays a dominant role in affecting soil hydrological properties.
JOURNAL OF HYDROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Liumei Chen, Dongbo Zhao, Guangzhong Han, Fei Yang, Zitong Gong, Xiaodong Song, Decheng Li, Ganlin Zhang
Summary: Iron (Fe) loss from paddy soils during rice cultivation is influenced by soil properties, history of rice cultivation, and artificial irrigation and drainage. This loss has an impact on soil dynamics and the biogeochemical cycle of iron.
SCIENCE CHINA-EARTH SCIENCES
(2022)
Article
Agriculture, Multidisciplinary
Feng Liu, Fei Yang, Yu-guo Zhao, Gan-lin Zhang, De-cheng Li
Summary: This study used an ensemble machine learning model, quantile regression forest, to predict soil depth in the Heihe River basin of northwestern China. The model, combined with environmental covariates, accurately predicted the spatial variation of soil depth and estimated the associated predictive uncertainty. The resulting soil depth map revealed regional and local patterns.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2022)
Article
Agriculture, Multidisciplinary
Shunhua Yang, Yue Dong, Xiaodong Song, Huayong Wu, Xiaorui Zhao, Jinling Yang, Songchao Chen, Jo Smith, Gan-Lin Zhang
Summary: Soil organic carbon is crucial for soil health and combating global warming. This study explores its distribution and controlling factors in the entire regolith. The results show that there is a large carbon reservoir in the deep regolith, and land use strongly affects carbon distribution in the top 100 cm of soil layers but has little effect on deep soil organic carbon. Soil texture is the primary controlling factor for organic carbon content.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Environmental Sciences
Xiao-Lin Sun, Budiman Minasny, Yun-Jin Wu, Hui-Li Wang, Xiao-Hui Fan, Gan -Lin Zhang
Summary: The increase in soil organic carbon (OC) in China over the past two decades suggests that atmospheric carbon dioxide is being sequestered into the soil, mitigating climate change and improving soil health. However, there have also been reports of soil pH decrease nationwide, which may negatively impact soil quality for food production and the environment. This study investigates the relationship between soil OC and pH using large-scale soil survey data from two provinces in China and finds that the changes in OC and pH are significantly correlated, with increased soil nitrogen content as the linking factor. The decrease in pH is particularly significant in the eastern region of China, where soils are more neutral in pH. The study recommends exploring alternative methods of carbon sequestration in soil to avoid potential acidification effects caused by excessive nitrogen application.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Soil Science
Hui-Ying Wen, Hua-Yong Wu, Yue Dong, Wen-Juan Feng, Ying Lu, Yue-Ming Hu, Gan-Lin Zhang
Summary: This study investigated soil acidification in the Pearl River Delta of China, focusing on the effects of land-use change and parent materials. Results showed that soils derived from granite exhibited higher acidity and lower pH buffering capacity compared to those derived from alluvial sediment. Significant soil acidification was observed under land-use change in vegetable lands and orchards, but not in paddy fields. The study suggests that soil acidification induced by land-use change is influenced by parent materials.
SOIL USE AND MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Yuye Feng, Hao Long, Fei Yang, Fan Yang, Hongyi Cheng, Ganlin Zhang
Summary: By studying a 2,800-year peat record from the northeastern Qinghai-Tibet Plateau, the researchers identified the aeolian origin of archived particles and found that dust input was enhanced during warming periods. They proposed that warming climate may have significant impact on moisture balance and wind strength, leading to more frequent dust activity in the future.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Guocheng Wang, Liujun Xiao, Ziqi Lin, Qing Zhang, Xiaowei Guo, Annette Cowie, Shuai Zhang, Mingming Wang, Songchao Chen, Ganlin Zhang, Zhou Shi, Wenjuan Sun, Zhongkui Luo
Summary: Plant root-derived carbon inputs are the main source of carbon in mineral bulk soil, but a fraction of these inputs may be quickly lost without contributing to long-term soil carbon storage. This study quantified the loss of root-derived carbon on a global scale and found that about 80% of the carbon inputs are lost rather than stored in the soil. The depth distribution of root-derived carbon inputs and their contribution to soil carbon storage were also determined, and a global map of the lost carbon and its distribution was created.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Environmental Sciences
Larissa A. Naylor, Jennifer A. J. Dungait, Ying Zheng, Sarah Buckerfield, Sophie M. Green, David M. Oliver, Hongyan Liu, Jian Peng, Chenglong Tu, Gan-lin Zhang, Xinyu Zhang, Tim A. Quine, Susan Waldron, Paul D. Hallett
Summary: This article introduces the development of Critical Zone Science (CZS) in human-modified and natural systems, and proposes a new framework that incorporates human behavior into CZS research for a more comprehensive understanding of the evolution of the terrestrial ecosystem. Through the China-UK CZO program, it was found that human-environment interactions and their impact on the socio-economic livelihoods of local farmers can be identified, and opportunities for improving local livelihoods and environmental conditions can be explored. The importance of co-designing CZS to address human-induced degradation in the critical zone is highlighted.
Article
Agriculture, Multidisciplinary
Jiarui Zhao, Xiaohu Yuan, Zhanjun Liu, Haotian Shi, Bingnian Zhai, Yuanjun Zhu
Summary: Overfertilization is common in rainfed apple orchards on China's Loess Plateau, but its impacts on soil physicochemical properties in deep soil profiles are poorly understood. This study found that different land-use types showed divergent distribution patterns in soil properties, with low variability for SWC and pH, moderate variability for NH4+-N, AP, and AK, and high variability for SOC, NO3--N, and EC. The results also showed that fertilization influenced soil water content, NO3--N, AP, and AK, and NO3--N played a crucial role in regulating pH and EC. Soil profiles were useful for studying the evolution of soil quality.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Daniel Nyfeler, Olivier Huguenin-Elie, Emmanuel Frossard, Andreas Luscher
Summary: Grass-legume mixtures combine high yields, low fertiliser requirements, and low nitrate leaching better than either pure grass or pure legume swards, both during the intact plant cover and after tilling for the subsequent crop.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Martin Faucher, Seraphine Grellier, Clemence Chaudron, Jean-Louis Janeau, Gabrielle Rudi, Fabrice Vinatier
Summary: The Mediterranean region is expected to experience more intense rainfall events and severe droughts due to climate change, leading to an increase in runoff and erosion rates in agrosystems. Vegetation cover can help reduce erosion and the soil seed bank can provide cost-effective vegetation. This study assessed the effect of vegetation cover on seed loss in vineyards and evaluated the differences in the soil seed bank along a transect. The results suggest that vegetation may not protect interrows from runoff-induced seed loss.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Christian Thierfelder, Blessing Mhlanga, Isaiah Nyagumbo, Kelvin Kalala, Esau Simutowe, Mazvita Chiduwa, Chloe Maclaren, Joao Vasco Silva, Hambulo Ngoma
Summary: The performance of different maize-legume diversification strategies was compared in southern Africa. Intercropping systems showed significant nutritional and economic benefits, but had higher labor requirements compared to other cropping systems. Soil organic carbon content and pH were not affected by the tested cropping systems.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Han Chen, Han Li, Yizhao Wei, Edward Mcbean, Hong Liang, Weimin Wang, Jinhui Jeanne Huang
Summary: This research introduces a hybrid four-sub-deep neural network (HFSD) model for partitioning NEE into GPP and ER. The HFSD employs dual sub-deep neural networks to estimate ERa and ERb and incorporates GPP and environmental variables to predict vegetation transpiration. The results of the model show that the dual sub-DNNs architecture enhances the accuracy of ER simulations, while using EC-derived T as a constraint improves the accuracy of GPP simulations. Correlation analyses suggest that solar radiation and air temperature primarily influence the seasonal variations in GPP and ER, while soil moisture has a strong impact during dry seasons. This study advances the biophysical description of data-driven models for NEE partitioning and enhances the accuracy of GPP and ER estimates.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Michael Glaser, Stefan Dullinger, Dietmar Moser, Johannes Wessely, Milan Chytry, Zdenka Lososova, Irena Axmanova, Christian Berg, Jana Buerger, Serge Buholzer, Fabrizio Buldrini, Alessandro Chiarucci, Swen Follak, Filip Kuezmic, Stefan Meyer, Petr Pysek, Nina Richner, Urban Silc, Siegrid Steinkellner, Alexander Wietzke, Franz Essl
Summary: This study investigated changes in vascular plant species in Central European arable fields and their edges from 1930 to 2019. The results showed a small decline in overall species occupancy, but a more pronounced species turnover. Species with environmental preferences for nutrient-rich sites with neutral pH increased in occupancy, while species typical for arable fields decreased. No response to climate change was observed, and there was a decrease in archaeophytes and native species and an increase in neophytes.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Thomas Abrell, Krishna Naudin, Felix J. J. A. Bianchi, Debora Veiga Aragao, Pablo Tittonell, Marc Corbeels
Summary: This study demonstrates that reducing fallow periods in shifting cultivation systems in the Eastern Amazon region has negative effects on soil fertility and weed pressure, posing a threat to the sustainability and productivity of local farming systems.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Jun Wang, Lu Lv, Ronggui Hu, Haiyang Ma, Bo Liu, Wenju Zhang, Lei Wu
Summary: Nitrification and denitrification are crucial for nitrogen losses in agricultural soils and are affected by soil properties. This study investigated the patterns and controlling factors of nitrification and denitrification potentials in paddy soils in major rice-producing areas of Hubei Province, China. The results showed that soil pH and SOC were the primary factors regulating nitrification and denitrification potentials, respectively.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Olga Fishkis, Jessica Weller, Jorn Lehmhus, Franz Pollinger, Jorn Strassemeyer, Heinz -Josef Koch
Summary: The Farm to Fork strategy of the European Union aims to reduce pesticide use and replace chemical measures with mechanical methods in weed control. However, there is currently no comprehensive evaluation of the ecological and economic parameters of mechanical methods. This study quantified these parameters for different weed control methods in sugar beet and found that no method can be considered fully environmentally friendly.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Mercedes Guerrero-Brotons, Nuria Perujo, Anna M. Romani, Rosa Gomez
Summary: Proper bed substrate selection is crucial for the performance of constructed wetlands, especially when treating drainage water with high nitrogen and low carbon and phosphorus concentrations. In a field-scale pilot plant, adding a carbon-rich substrate such as soil or biochar increased phosphorus availability in beds. Beds with soil displayed higher microbial density and activity, as well as better plant growth compared to gravel. These findings highlight the importance of selecting suitable substrates for treating irrigated agricultural water.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Beatrice Giannetta, Cesar Plaza, Giorgio Galluzzi, Iria Benavente-Ferraces, Juan Carlos Garcia-Gil, Marco Panettieri, Gabriel Gasco, Claudio Zaccone
Summary: This study examines the long-term effects of biochar application on soil organic C protection and finds that biochar, especially when combined with other amendments, has the potential to increase the content of particulate organic C and mineral-associated organic C in soils. The presence of ferrihydrite may mediate the positive effects on mineral-associated organic matter.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Emily Rose Waring, Carl Pederson, Ainis Lagzdins, Chelsea Clifford, Matthew J. Helmers
Summary: Addressing the global problem of eutrophication requires better management of inorganic nitrogen in the agricultural landscape. This study compares the effects of different tillage practices and cover crops on soil and water quality. The results show that the conventional tillage system is more effective in improving water quality and maintaining crop yields compared to other tillage practices. Additionally, the study reveals that the impact of tillage practices and cover crop growth methods on water and soil quality changes over time.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
Article
Agriculture, Multidisciplinary
Annalisa Stevenson, Yakun Zhang, Jingyi Huang, Jie Hu, Keith Paustian, Alfred E. Hartemink
Summary: Considerable advances have been made in the assessment and mapping of soil organic carbon stocks. However, the rates of change in carbon stocks are influenced by various factors and need to be quantified. This study found that sandy soils under cultivation and forests have different organic carbon stocks. Factors such as tillage, irrigation, and nitrogen applications contribute to the decline in soil organic carbon stocks. Afforestation of abandoned cultivated fields can increase soil organic carbon, but it is still lower than soils under forest that have never been cultivated.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
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
Agriculture, Multidisciplinary
Qing Qu, Lei Deng, Zhouping Shangguan, Jian Sun, Jinsheng He, Kaibo Wang, Zhengchao Zhou, Jiwei Li, Josep Penuelas
Summary: Grazing exclusion is a widely implemented strategy for restoring degraded grassland ecosystems and increasing carbon stocks. This study analyzed data from 199 experiments to understand the temporal responses and factors influencing plant and soil carbon stocks following grazing exclusion in different grassland ecosystems. The results showed that plant biomass carbon stocks and soil organic carbon stocks decreased exponentially or rationally with years since enclosure. Grazing exclusion had positive effects on aboveground biomass carbon, but the effects on belowground biomass and soil carbon were influenced by climate, initial carbon levels, and grazing exclusion duration. The response of carbon stocks to grazing exclusion stabilized after approximately 40 years, with soil carbon sequestration showing a lagged pattern compared to plant biomass carbon. The study highlighted the effectiveness of grazing exclusion in regions with low carbon content and non-water limited conditions. However, it might not be an effective measure to increase soil organic carbon stocks in water-limited areas like desert grasslands.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2024)
