Article
Agronomy
Shujun Song, Rong Yang, Xiaoru Cui, Qixian Chen
Summary: This study analyzed the spatial distribution and influencing factors of soil nutrients in the semiarid Anding district farming region in northern China. The results showed considerable variability in soil nutrient content, with soil organic matter, total nitrogen, and available phosphorus showing increasing trends from the middle to the northeast and southwest, while available potassium showed the opposite trend. Factors such as soil texture, irrigation method, and water source type significantly influenced the distribution of soil nutrients.
Article
Agronomy
Yongmei Liu, Fan Zhao, Lei Wang, Wei He, Jianhong Liu, Yongqing Long
Summary: The study found that the patchy distribution of Stellera chamaejasme in alpine meadows may disturb spatial variations of soil properties and fungal community, since higher coverage of S. chamaejasme corresponded to lower TK content, leading to a decrease in fungal diversity indirectly.
Article
Agronomy
Muhammad Raza Farooq, Zezhou Zhang, Linxi Yuan, Xiaodong Liu, Abdul Rehman, Gary S. Banuelos, Xuebin Yin
Summary: The distribution and bioavailability of selenium in agricultural soils in Zhongwei, China were investigated. The results showed that although the total selenium content was low, the bioavailability was high, suggesting the potential to produce selenium-enriched crops.
Article
Multidisciplinary Sciences
Chao Zheng, Xiaofei Yang, Zhiqiang Liu, Kexing Liu, Yongxiang Huang
Summary: This paper comprehensively analyzed the soil characteristics and fertility of cultivated land in Xuwen County using geostatistics, geographic information system (GIS), and fuzzy mathematics. The results showed that the overall level of soil fertility in Xuwen County is above average, with a trend of high fertility in the South and low fertility in the North. These findings provide theoretical guidance for improving fertilizer utilization, fine management of cultivated land, and ecological environment.
Article
Agronomy
Wenhui Zhang, Liangwei Cheng, Ruitao Xu, Xiaohua He, Weihan Mo, Jianbo Xu
Summary: Soil fertility is crucial for crop growth, and studying its spatial distribution and variation is important for agricultural management. Traditional methods for assessing soil fertility are time-consuming and costly, and don't capture the spatial variation across continuous geographic space. Digital soil mapping techniques, particularly spatial interpolation models, have been widely used in recent years. However, further research is needed on these models for regions with complex terrains and variable climates. This study compares the performances of four popular spatial interpolation models for digital soil mapping and analyzes the spatial variation and driving factors of available phosphorus in a hilly area in Gaozhou, Guangdong Province, China. The study also demonstrates the correlations between environmental variables and available phosphorus in different spatial positions, and provides insights into the influence of vegetation and topography on the spatial variations of available phosphorus.
Article
Multidisciplinary Sciences
Guojun Sun, Haijun Liu, Dong Cui, Chunmei Chai
Summary: This study used traditional statistical methods to explore the spatial variability and influencing factors of soil nutrients in the Yili River Valley. The results showed significant correlations between different nutrients, and the ordinary Kriging interpolation results revealed the distribution patterns of the nutrients. These findings are important for the rational exploitation of land resources in the Yili River Basin.
Article
Agronomy
Pedro Yescas-Coronado, Miguel angel Segura-Castruita, Arturo Moises Chavez-Rodriguez, Juan Florencio Gomez-Leyva, Aldo Rafael Martinez-Sifuentes, Osvaldo Amador-Camacho, Raul Gonzalez-Medina
Summary: The study aimed to identify and rank the covariables of soil-forming factors that affect the distribution and spatial variability of pH in an agricultural area, and to obtain a predictive map of soil pH. The results showed that particle size and human activity had the most influence on the spatial behavior of pH.
Article
Ecology
Peng Zhou, Dongxue Zhao, Xiao Liu, Linghua Duo, Bao-Jie He
Summary: This study analyzed the dynamic vegetation changes in Alxa League, China by taking into account various factors such as land cover types, elevation, climate, and air quality. The results showed a significant drop in vegetation index after 2012, which slowly recovered after 2015. High vegetation index values were found in urban areas with frequent human activities. The northwest region exhibited a slight degradation trend, while the southeast region showed a slight improvement trend. The vegetation index was negatively correlated with temperature, precipitation, soil moisture, and total evaporation, and positively correlated with precipitation and soil moisture.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2022)
Article
Forestry
Andrea Roman-Sanchez, Pavel Samonil
Summary: This study analyzes the effects of tree disturbances on the spatial variability of soil chemical properties to explain the spatial pedocomplexity in a forest reserve. The results show that tree disturbance density significantly affects soil chemical properties, particularly in the subsurface layer.
Article
Environmental Studies
Long Kang, Rui Zhao, Kening Wu, Zhe Feng, Huafu Zhao, Sicheng Zhang
Summary: Soil biodiversity is an important indicator of soil health and play a key role in soil-based ecosystem services. This study investigated the distribution characteristics and factors influencing six soil biological indicators in different farmland use contexts in China. Factors such as cation exchange capacity, total N, organic matter, hydrolytic N, soil bulk density, total phosphorus, available phosphorus, and available potassium were found to have significant effects on these indicators.
Article
Agronomy
R. P. Sharma, S. Chattaraj, D. Vasu, K. Karthikeyan, P. Tiwary, R. K. Naitam, B. Dash, G. Tiwari, A. Jangir, A. Daripa, S. K. Singh, S. G. Anantwar, A. M. Nimkar
Summary: A study conducted in the basaltic region of central India investigated the spatial distribution of soil fertility parameters, revealing specific variability in soil attributes crucial for precision agriculture. The study identified deficiencies in certain nutrients and strong spatial dependence of others, supporting site-specific plant nutrient management for precision farming.
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
(2021)
Article
Biodiversity Conservation
Zhenwen Fang, Sha Zhou, Shaohong Zhang, Wenchao Xing, Xiaoling Feng, Qiaoling Yang, Fazhu Zhao, Kang Liu, Jun Wang
Summary: This study investigated the spatial distribution of soil organic carbon density (DSOC) in Xi'an City Ring Expressway, China. The results showed that DSOC was higher in urban center and decreased towards suburb, and it was also influenced by land-use types. The findings provide a scientific foundation for future soil carbon management in urban development.
Article
Green & Sustainable Science & Technology
Long Li, Yongjie Yue, Fucang Qin, Xiaoyu Dong, Cheng Sun, Yanqi Liu, Peng Zhang
Summary: The study reveals that the spatial distribution of soil organic carbon (SOC) is influenced by different environmental factors at different scales and has a moderate spatial correlation. Soil type and land use type are key factors influencing SOC content, and conservation of regional soil and water is an effective measure for improving SOC content.
Article
Environmental Sciences
Zixu Zhang, Ming Hao, Yongqiang Li, Ziqing Shao, Qinghui Yu, Yuan He, Peng Gao, Jingwei Xu, Xingjian Dun
Summary: In this study, the spatial heterogeneity and influencing factors of soil organic carbon (SOC), total nitrogen (TN) and total phosphorus (TP) in surface soil of coastal protected forests in northern China were analyzed. The results showed significant changes in SOC, TN and TP content under different protected forest types and strong spatial dependence. Furthermore, using vegetation and terrain factors as covariates improved the accuracy of soil C-N-P spatial distribution prediction.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Agronomy
Agnieszka Wolna-Maruwka, Aleksandra Grzyb, Remigiusz Lukowiak, Jakub Ceglarek, Alicja Niewiadomska, Dariusz Kayzer
Summary: Understanding the spatial-temporal variability of soil enzymatic activity and its relationship with nitrogen resources and crop yield is crucial for rational management practices. This study revealed spatial and temporal variability in soil parameters, with higher values observed in July. The southern part of the field exhibited considerable enzyme activity and high N-NO3 application, indicating separate production zones and higher crop yield. There was a negative interaction between N-NH4 and N-NO3 and urease in the soil. The findings emphasize the importance of enzymatic and chemical parameters in soil for crop yield and lay the foundations for precision agriculture.
