Knowledge Map of Soil Nutrient Migration Analysis Based on WOS (Web of Science) Database

Abstract

It is important to understand the research trends and hotspots of global soil nutrient migration and control. Based on the core collection of WOS (Web of Science), citespace knowledge map analysis tool was used to analyze the number of publications, cooperation networks, disciplines, research hotspots and frontier trends on nutrient migration in soil. The results showed that: the number of publications on the study of soil nutrient migration showed a good growth from 1990 to 2021. 173 countries had cooperative relationships. The number of articles published in the United States and China was significantly higher than that in other countries, while Chinese Academy of Sciences was the institution with the largest number of publications. It was a comprehensive system that permeates with agriculture, environmental science, botany and other disciplines. The research of nutrient migration in soil mainly focused on the measures of microbial community in different land types to promote nutrient transformation, improve soil fertility and reduce nutrient loss. In the future, the research trends will be the management measures of soil nutrient loss, the relationship between the change of soil nutrient and plant community diversity, and the remediation of agricultural contaminated soil. Through the above analysis, there was an overall understanding of soil nutrient migration. The research on nutrient migration may continue to increase in the future. It is suggested that Chinese research institutions, teams and universities need to strengthen international cooperation, and speed up their integration with the international community.

Share and Cite:

Wang, J. , Chen, J. , Cai, Q. , Huang, J. and Zhou, L. (2023) Knowledge Map of Soil Nutrient Migration Analysis Based on WOS (Web of Science) Database. Agricultural Sciences, 14, 398-421. doi: 10.4236/as.2023.143026.

1. Introduction

Fertilization has become the main effect of increasing the yield of food crops. However, the migration of soil nutrients is the key factor affecting fertilizer utilization rate, and nutrients are essential nutrient elements for plant growth [1] [2] . Nutrient transfer refers to the movement of nutrients between ecosystems. The mechanism and main influencing factors of nitrogen migration are different within certain ecosystem [3] . Soil nutrient migration is influenced by the interaction of root growth, soil physical and chemical properties, topographic conditions, rainfall intensity, climate, land use patterns, management measures and fertilization methods [4] [5] [6] [7] . Among them, the main influencing factors of soil nutrient migration to root system are soil nutrient concentration and soil water content, which provide a medium for nutrient migration and directly affect nutrient migration quantity [8] . The migration and loss of soil nutrients were influenced by many factors, and the process was complicated, involving a wide range of disciplines and contents. There have been many research results on the migration [9] , loss [10] [11] and factors affecting migration of nutrient elements (N, P, K) in the soil [12] [13] [14] . Song H X et al. [15] used summer corn as experimental crops, indicating that NO 3 -N can absorb water with plants, transfer to plant roots as solute, and uniformly distribute in rhizosphere soil, while NH 4 + -N is not affected by root growth and soil water supply. CiteSpace software is a visual analysis software developed based on scientometrics and data visualization theory. It can effectively find out the literature that has a key impact on the development of a discipline by analyzing the citation relationship of the literature, and show the development trend and trend of a discipline or knowledge field in a certain period [16] . Researchers used Citespace to study hot issues and research trends in the fields of soil ecosystem [17] , soil microorganism [18] , soil erosion [19] , soil remediation using biochar [20] , soil heavy metal [21] , soil microplastics [22] , soil pollution [23] , soil health [24] and so on (heavy metal contaminated soil remediation, soil respiration, soil microorganism, soil pesticide pollution, soil erosion, soil heavy metals). Chen et al. [17] used CiteSpace to analyze and study the knowledge map of soil ecosystem, and revealed the evolution law and driving factors of research topics in this field, changes of research hotspots and future research trends. However, there is little research on the visual analysis of soil nutrient migration from a macro perspective to understand the general situation and development trend of the research field of soil nutrient system migration, and analyze the hot spots and frontier trends of international soil nutrient migration research. Based on the WOS (Web of Science) database, CiteSpace, a bibliometric software, is used to analyze the scientific knowledge of soil nutrient research, which provides reference for the research field of nutrient migration in soil.

2. Materials and Methods

2.1. Data Collection

The literature data adopted in this study came from the core collection database of Web of Science, using advanced search, searching the topic “topic = soil nutrient transfer or topic = soil nutrient movement”, selecting Article and Review as the literature type and English as the language. The retrieval time span was from 1990 to 2021, and a total of 3997 articles were retrieved, excluding meetings, briefings, book abstracts, etc. which were imported into Citespace software for deduplication processing, and 3852 articles were obtained.

2.2. Research Method

With the help of CiteSpace (version 5.8. R 1), this paper made a knowledge visualization map analysis of the literature on soil nutrient migration published from 1990 to 2021, mainly analyzing the number of published articles, countries, authors, research institutions, discipline categories, key words and cited literature. The unified time slice was set to 1 year, and other operations were set by default, and graphic analysis of different node types was carried out.

3. Results and Discussion

3.1. The Quantity and Time Characteristics of Publication

From 1990 to 2021, the literature distribution of soil nutrient migration was shown in Figure 1. The number of papers in this field is generally on the rise. There were only 10 papers in 1990 and the highest number was 285 papers at the end of 2021. It could be roughly divided into three stages: preliminary rising

Figure 1. Chronological changes of the literatures.

stage, steady growth stage and rapid growth stage.

From 1990 to 2000, the average number of papers on soil nutrient migration was 65.4 per year, which was in a preliminary rising stage. At the end of the 20th century, the research on soil resources, environment and ecosystem promoted the development of pedology [25] , and at the same time promoted the research and development of soil nutrient migration, which increased from 10 articles published in 1990 to 84 articles published in 2000. From 2001 to 2011, the number of published articles increased steadily, and the number of published articles basically exceeded 100, with an average annual rate of 130.7 articles. The minimum number of published articles was 91 in 2002, and gradually increased to 132 in 2011. During the period of rapid growth from 2012 to 2021, there was an average of 210 articles every year. Although it declined sometimes, the number of articles published mainly exceeded 200, reaching the highest value (285) at the end of 2021. There is a good growth trend between the number and year of the research literature on soil nutrient migration published internationally.

3.2. Spatial Distribution Characteristics

The number of articles published by research institutions and countries can intuitively judge the degree to which an institution or a country attaches importance to the research field of soil nutrient migration, and provide reference for evaluating its academic influence on social relationships between scholars, countries or institutions.

3.2.1. Country Cooperation Network

The map of national cooperation could be used to reveal the distribution of cooperation areas and intensity among countries [26] . As shown in Figure 2, the national cooperation map has 173 nodes and 750 links, which show that from 1990 to 2021, 173 countries had cooperated in different degrees and ways in the field of soil nutrient migration. Among them, the United States, Germany, China, Australia and Britain had larger nodes, which indicated that these countries had more relevant research and were closely connected to each other. It could be seen that the mutual cooperation research among these countries was frequent.

Generally, when the intermediary center of a node was ≥0.1, the node could be regarded as a key node [27] . As can be seen from Table 1, the top five countries were the United States, China, Australia, Germany and Britain. During this period, the United States co-published 1083 papers, accounting for 28.09%. With an intermediary centrality of 0.57, it indicated that the research field of soil nutrient migration in the United States had the greatest influence at the international forefront. From the intermediary centrality, it showed that the United States had more cooperation with other countries.

China published 427 papers, accounting for 11.85% of the total number of published papers. With an intermediary center of 0.06, it showed that there was

Figure 2. Network of country cooperation. The color bar in the picture represents the year, blue is the earlier year and yellow is the later year. Circular nodes represent different countries, and their size is directly proportional to the number of papers published in cooperation. The connection between nodes indicates that there is a cooperative relationship. The color of the annual ring indicates the year in which it appeared, and the thicker the year, the higher the frequency of papers published. The purple outer circle is intermediary-centered, and the thicker it is, the stronger the country’s activity in the cooperative network and the greater its influence [28] .

Table 1. Characteristics and frequency of country cooperation from 1990 to 2021.

little cooperation with other countries in this field. The research on soil nutrient migration started late in China, but it was actively approaching the world. The centrality in Australia, France, Germany, Britain and Netherlands was more than 0.1.

3.2.2. Network of Author Cooperation

Through the author cooperation network, it could analyze the cooperation and mutual citation among the key figures and researchers. As could be seen from Figure 3, there were 1007 nodes in the author’s cooperation network, which indicated that 1007 scholars cooperated with others to carry out on research of nutrient migration in soil and published 564 academic papers from 1990 to 2021. According to the connection color, C. Hamel and DL Smit, EMH Wellington and N. creswell cooperated more in 1991. By 2014, cooperation groups with P JORDAN, Quan Jiuwang and others were formed.

According to statistics, the top 10 core authors were listed in Table 2, and it was found that P JORDAN had published the most articles, for 10 articles. According to Price Law, the authentication formula of core authors was M ≈ 0.749 × N max , and Nmax was the number of authors who publish the most papers; M was the core author with the lowest number of documents [29] .

After calculation, M ≈ 0.749 × 10 = 2.369, then the authors publishing at least three articles were the core authors. According to statistics, there were 53 core authors, and 213 papers had been published. The total number of papers

Figure 3. Network of author cooperation. The size of the circular nodes in the figure reflects the number of articles published by the current authors. The connection between the nodes indicates that the two authors appear in a document together and have a cooperative relationship. The thickness of the connecting line indicates the cooperation intensity, the color corresponds to the year, the blue line corresponds to the early co-authors, and the green line corresponds to the recent co-authors.

Table 2. Characteristics and frequency of author cooperation from 1990 to 2021.

was small, accounting for only 5.52%, which indicated that there was no stable core author group in the world at present [30] .

3.2.3. Network of Institutional Cooperation

Through the institutional cooperation network, it could know the cooperation between the core research institutions in a certain field. CiteSpace was used to draw the cooperation diagram of international research institutions (Figure 4). There were 780 research institutes with 893 links. The density of the co-occurrence map was only 0.0029, which showed that the cooperation between international research institutions was not close. It can be clearly seen from the figure that the Agricultural Research Center of the United States Department of Agriculture-Agricultural Research Service (USDA-ARS) and China Academy of Sciences were the main research institutions with the highest eccentricity of 0.1.

As could be seen from Table 3, the Chinese Academy of Sciences (Acad SCI) and China Agricultural University (China Agr Univ) had also published many papers, and research institutions in China has made great contributions in soil nutrient migration research. In addition, foreign institutions such as USDA-ARS, University of Florida (UF) and Institut Nationaldela Recherche Agronomique (INRA) had also published many papers in this field. The national co-occurrence chart showed that China, the United States and France were the main contributors to this field, which verified the conclusion of the co-occurrence chart of research institutions.

The suddenness of the testing institutions can reflect the key research institutions, rising time and activity degree of soil nutrient migration. As can be seen from Table 4, the emergent value of soil nutrient migration studied by the Chinese Academy of Sciences was 12.40 in terms of emergent intensity, which was the most active research and development organization in the world. The emergency value of USDA ARS was as high as 9.84, while that of Lancaster University

Table 3. Characteristics and frequency of institutional cooperation from 1990 to 2021.

Table 4. Research institutions with strongest citation bursts in soil nutrient transfer study.

The red line in the table indicates the time span of this institution.

Figure 4. Network of institutional cooperation. The size of circular nodes in the map reflects the number of posts published by the organization, and the thickness of annual rings indicates the frequency of posting. The connection between nodes means that different institutions appear in a paper at the same time, indicating that there is a cooperative relationship among these institutions.

was 8.68. From the perspective of emergence, the Commonwealth Scientific and Industrial Research Organisation (CSIRO) first appeared and had lasted for 16 years. The emergence time span of institutions such as the Agriculture and Food Development Authority (TEAGASC), Wageningen University & Research, the University of Nebraska and other institutions also exceeded 8 years.

3.3. Network of Discipline Co-Occurrence

Co-occurrence analysis of disciplines could construct the association network among disciplines and reveal the internal relationship between disciplines. According to the co-occurrence diagram of disciplines in Figure 5, there were 129 nodes and 512 connections. Among them, 129 nodes showed that 129 disciplines are inter-related around the research of soil nutrient migration, concentrating in environmental sciences & ecology, agriculture, environmental sciences, plant sciences and other fields. According to the number of connecting lines indicating cooperation frequency and thickness of cooperation intensity, it could be seen that environmental sciences & ecology, environmental sciences, ecology and agronomy had the closest cooperation, while soil science, plant sciences and agronomy had less cooperation. As Table 5 showed the first one was environmental sciences & ecology with a co-occurrence frequency of 1429. The betweenness centrality of ecology, environmental science and botany was all greater than 0.1, which indicated that they crossed most widely with other disciplines, and the frequency of cross-cutting between soil science and agronomy was high but the betweenness centrality was not high.

Figure 5. Network of discipline co-occurrence. The size of circular nodes in the atlas reflects the frequency of disciplines, and the thickness of annual rings indicates the frequency of the corresponding years. The link between nodes means the co-occurrence of disciplines.

Table 5. Characteristics and frequency of discipline co-occurrence.

3.4. Research Hotspots and Frontiers

3.4.1. Research Hotspots

It can be seen from Figure 6 that there were 756 nodes and 3990 links in the

Figure 6. Network of keywords co-occurrence. The circle node in the figure is the keyword frequency, which is proportional to the size. The color of annual rings corresponds to the year, and the thickness is the frequency of occurrence. Node refer to two keywords that appear in the same document, and the degree of thickness reflects the co-occurrence strength of keywords.

co-occurrence graph. In the research field of soil nutrient migration, except for the three key words “soil”, “nutrient” and “movement”. There have been research hotspots (Nitrogen, phosphorus, growth, plant, carbon, dynamics, organic matter, water, transport, management, etc.) in this field in the past 30 years.

Keywords Co-occurrence diagram shows the hot spots of soil nutrient migration, the time of heat occurrence and its evolution law. As can be seen from Table 6, since 1990s, hot keywords with high emerging values have appeared, such as ecosystem, fungi, bacteria, movement, seeding, etc. These words had been the hot spots in the research of soil nutrient migration in the last 30 years. Since the new century, many key words had appeared in the first decade, among which corn, pasture, loss and fertilizer were the most prominent, which indicated that the important research focused at the beginning of the 21st century was the migration and loss of different types of land and its soil nutrient. After 2010, the key words with high emerging values were crop, surface water, environment, etc. In the last five years, the key words were microbial community, surface runoff, wastewater, arbuscular mycorrhizal fungi, etc. The research field focused on the impact of soil nutrient migration on the surrounding environment, and explored the interaction between microbial community and nutrient migration.

3.4.2. Research Frontier

Co-citation analysis can explore the key topics in the research field, their development process, research direction or the closeness between topics, and automatically cluster them based on the graph clustering algorithm, so as to extract

Table 6. Keywords with strongest citation bursts.

The red line segment in the table reflects the time span of keyword appearance.

clustering keywords. Figure 7 showed that there were 1537 nodes and 2957 lines forming 30 large groups. The modularity value of the map was 0.9415, and the silhouette value was 0.9739, which indicated that the cluster structure formed was remarkable and the similarity of cluster themes was high. CiteSpace calculated the modularity value Q and average silhouette value S according to the network structure and cluster definition of the atlas, which could be used to judge the rendering effect. The modularity value of 0.4 - 0.8 was regarded as a graph meeting the requirements. The index of internal similarity was measured by silhouette, which was a decimal from 0 to 1. The greater the value, the higher the similarity [31] . According to the clustering color block from blue to yellow,

Figure 7. Network of document co-citation of organic fertilizers. The size of circular nodes in the atlas reflects the citation frequency of literatures, and the connection between nodes indicates the co-citation relationship between literatures. The color blocks of clustering reflect the special topics in the research field. The color corresponds to the color bar on the right, which represents the year. Blue is the earlier year, and yellow is the latest.

the research topics in different periods were illustrated. Among them, there were 74 reference points for nutrient transfer in group 0, and 11 reference pointed for herbaceous cropping system in group 30, the smallest.

According to the results of cluster analysis, Table 7 showed that the cluster #0 nutrient transfer ranks first, with a cluster size of 74. This cluster mainly studied the relationship between mycorrhiza and soil nutrient absorption. The second place was #1 n-15 tracer (n-15 tracer) with a cluster size of 71, and #2 Nutrition Ecology was the third place with a cluster size of 68.

According to the document co-citation time Figure 8, the research on soil nutrient migration had been focused on #0 nutrient transfer and #5 critical source area since the 21th century. After the first decade, #4 antibiotic resistome, #6 arbuscular mycorrhizal fungi, #9 hidden miner, #15 dairy processing sludge, which could be regarded as the frontier of soil nutrient migration in recent years.

3.5. Discussion

In the face of massive literature data, it was obviously difficult how to be rapid and accurate qualitative analysis and visual expression. CiteSpace software was used to analyze the citation relationship among literatures, which could quickly find the literatures with key influence on the development of soil nutrient migration research, and showed the development status and trend of related disciplines or knowledge fields.

Table 7. Topic and main research content of each group.

Figure 8. Document co citation timeline. The circular nodes in the graph reflect the citation frequency of the literature, and the connection between nodes indicate the co-citation relationship between the literatures.

From 1990 to 2021, the number of international publications on soil nutrient migration showed a good growth trend. The number of articles published every year was gradually increasing, from 10 in 1990 to 285 in 2021, and the overall growth rate was relatively fast. There was more and more research in this field, which was one of the research focuses of relevant researchers. The study of soil nutrient migration was still the focus of international research. During this period, the international soil science had been further developed, and the current research focused on theoretical innovation, advanced technology and methods. The scope of research was becoming more and more global and international. At the same time, it fully reflected the important soil science issues concerned by the world [17] . It could be predicted that, it will remain a hot spot in the international research field, and the number of papers published in international journals will go on increasing. At present, the number of articles published by the United States and China ranks at the forefront. The United States, Australia, France, Germany, Britain and other countries cooperated closely in the field of soil nutrient migration. Among them, the Chinese Academy of Sciences was the research institution with the most published literature. It could be seen that China had a certain academic influence in the field of soil nutrient migration. However, the research system of soil nutrient migration in China developed late, and its cooperation with other countries was less. Compared with international research institutions, universities, scientific research institutions and teams in China needed to strengthen cooperation with the international community and speeded up their integration with the international community. At present, a stable core group of authors had not been formed in the world, and the cooperation and exchanges among relevant scholars needed to be strengthened.

There was little research on the combination of chemistry and soil nutrient migration. The research focused on the migration of nutrients from soil to plants, mainly involving the migration mechanism and influencing factors of different land use types, the influence and function of soil microbial communities, the carbon and nitrogen cycle of soil and the influence of farming methods on crops. These mainly focused on nitrogen isotope labeling, arbuscular mycorrhizal symbionts, nitrogen input of forest soil, and dynamic redistribution. Nitrogen transfer pathway, ecological relevance and arbuscular mycorrhizal-mediated nutrition in the ecosystem. Focusing on nitrogen isotope labeling, arbuscular mycorrhizal symbiosis, nitrogen input and dynamic redistribution of nitrogen in forest soil, the transfer mode of nitrogen in ecosystem, ecological correlation, arbuscular mycorrhizal-mediated nutrition were studied. William S et al. [36] studied chronic nitrogen addition in Korean pine forest, and found that the nitrogen content of some species increased, but the biomass and nutrient cation concentration decreased. The forest had not reached nitrogen saturation, but the understory plants might be saturated. However, in the long-term and experimental increase of nitrogen input, the nitrogen absorption flux of plants in fertilization plots was in the same order of magnitude as the net assimilation flux in forest humus, and a large amount of inorganic nitrogen in soil was directly transferred to humus and related microorganisms, while the combination rate of nitrogen transfer from litter to humus was very small [37] . Be hie S W et al. [32] identified the genes involved in the movement of nitrogen, phosphorus and unrestricted soil nutrients between plant and fungi symbiosis and their encoded transporters. These advances may be applied in agricultural and horticultural environments, and model fungi systems would be developed to further clarify the role of fungi in these symbiotic relationships. By changing tillage methods to improve fertilizer utilization rate, covering crops could enhance soil microbial community by increasing microbial phosphorus, enzyme activity and mycorrhizal richness, thus improving nutrient cycle, crop yield and phosphorus nutrition of agricultural system under different conditions [49] . Grain-bean intercropping increased the formation of mycorrhiza, which improved the regulation of leguminous plants, the acquisition of nitrogen and phosphorus and the transfer of nitrogen [52] . There studied on using biochar, sludge, slag and so on to improve soil to improve the absorption and utilization of soil nutrients [59] [60] [61] . Bio-carbon was an environment-friendly soil modifier, which could increase the effectiveness of soil carbon and phosphorus fixation, change the biological characteristics of soil, and improve nutrient utilization and absorption rate by reducing leaching and gaseous nitrogen loss [59] . Biochar has good adsorption capacity to keep soil moisture, improve the soil’s ability to keep nitrogen, increase the availability of phosphorus and the soil’s ability to keep nutrients, increase the activity of soil microorganisms and loosen soil structure [62] [63] . Sludge contains nutrients and organic substances needed by plants, which could reduce agricultural costs [60] . Iron-free slag produced in modern iron and steel industry could be used as lime material for acid soil improvement, which could reduce carbon dioxide emissions, save natural resources and raise awareness of the sustainability of some industrial activities [61] . At present, soil nutrient migration had developed into a comprehensive system which was dominated by environmental ecology and interpenetrated with agronomy, environmental science, botany and other disciplines. The degree of intersection with environmental ecology was the highest, but there were few fields that intersected with other disciplines, which were more limited to their respective disciplines. The research focused on soil nutrient transfer was highly concentrated and had formed several branches.

In addition, there were many studies on nutrient migration from soil to water, aiming at nutrient loss caused by runoff, reducing farmland fertility and polluting the environment. Pluer EGM et al. [64] used the matching method of soil sampling and unmanned aerial vehicle data, the spatial distribution of farmland soil characteristics and nutrient concentration was drawn, the digital terrain model was generated, and the field terrain change and erosion flow path were drawn to promote the understanding of soil erosion in various farmland and improve agricultural productivity. Poon D et al. [65] developed SWAT-MAC model for soil moisture management, and reasonably predicted the flow path of phosphorus groundwater when it passed through the area of macro pore soil, so as to better predict phosphorus loss in agricultural watershed and reduce surface runoff. In order to control the eutrophication of water bodies, Bender M A. et al. [57] investigated the dynamics of phosphorus in the rainstorm process in rural catchments areas, and the degree and time of nutrient loss. According to the forms of phosphorus loss at different times, different methods were adopted to reduce erosion, so as to reduce the migration of phosphorus to water sources and control the eutrophication process. Mccenden et al. [58] suggested that in key agricultural source areas, local conditions and predicted soil moisture conditions should be used to increase farmers’ understanding of soil drainage characteristics, which would help strengthen the existing regulatory framework to avoid accidental nutrient transfer. Sharpley A N et al. [54] proposed that reducing the loss of phosphorus in water should also include balancing the input and output of phosphorus at the farmland and watershed level by optimizing the proportion of animal feed and land application of phosphorus as mineral fertilizer and manure. Protection measures should include areas with relatively little phosphorus loss but located in key watersheds. In view of the eutrophication caused by agricultural activities, the monitoring technology and model were used to comprehensively evaluate nutrient migration dynamics and improve relevant watershed management measures. Accurate prediction could provide information for preventing nutrient loss and control measures, thus reducing agricultural non-point source pollution and promoting sustainable agricultural development. On the basis of paying attention to the basic ways and influencing factors of soil nutrient migration in the early stage, researchers paid more attention to the ways to control soil nutrient migration, and studied and explored the methods of soil remediation and control from various angles. Using the interaction between biochar and microorganisms to transform soil pollutants, the interaction between crops and soil microorganisms in the phosphorus cycle of agricultural ecosystem, and rationally using agriculture, forestry, animal husbandry and water conservancy industries to comprehensively prevent and control soil erosion according to local conditions, would carry out various explorations, control and maintain better soil and water functions, effectively reduce soil nutrient loss, improve and repair soil, and realize sustainable development. Soil nutrient migration has been playing an important role in evaluating and utilizing soil resources, increasing crop yield and nutrient utilization rate, and reducing environmental pollution. In the future, it is necessary to strengthen the response to the transformation process, products and influencing factors of soil nutrients, carry out basic research and pay attention to the impact of soil nutrient migration on the surrounding environment.

4. Conclusions

CiteSpace software was used to analyze the visual atlas of research papers on soil nutrient migration in the last 32 years. The results showed that:

1) From 1990 to 2021, the number of internationally published articles on soil nutrient migration showed a good growth trend. China Academy of Sciences, USDA-ARS, University of Florida, etc. were the main publishing institutions, among which China Academy of Sciences had the largest number of publications. However, universities, research institutions and teams in China need to strengthen cooperation with international institutions. Seventy-three countries had cooperated in soil nutrient migration research, and the United States and China were far ahead in the number of published articles.

2) Soil nutrient migration had developed into a comprehensive system which was dominated by environmental sciences & ecology and intertwined with many disciplines such as agriculture, environmental sciences and plant sciences.

3) In 1990-1996, the hotspots were fungi and bacteria promoting soil nutrient transformation. In 1997-2004, the hotspots were pasture and fertilizer. In 2005-2016, the hotspots were crop and microbial communities to improve soil fertility. In 2017-2021, the hotspots were arbuscular mycorrhizal fungi, surface runoff and waste water to control and reduce soil nutrient migration pathways.

4) The management measures for soil nutrient loss, the relationship between the change of soil nutrient content and the diversity of plant community, and remediation of polluted soil processed.

Based on the above analysis of soil nutrient migration, cooperation network, related disciplines, research hotspots and frontier trends, this study provides some reference and research directions for future research in this field.

Funding

This work is supported by Supported by the Natural Science Foundation of Guangxi province (2020GXNSFAA297123), National key research and development (R&D) projects (2020YFD1000600); Guangxi Science and Technology Key Special Project (GuiKeAA22068085)

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

References

[1] Sui, C. and Zhang M. (2014) Nitrogen Recovery and Fate of Polymer Coated 15N-urea Fertilizers under Corn-Wheat Rotation. Acta Agriculturae Boreali-Occidentalis Sinica, 23, 120-127.
[2] Khalil, H., Hossain, M.S., Rosamah, E., Azli, N.A., Saddon, N., Davoudpoura, Y., Islam, M.N. and Dungani, R. (2015) The Role of Soil Properties and It’s Interaction towards Quality Plant Fiber: A Review. Renewable and Sustainable Energy Reviews, 43, 1006-1015.
https://doi.org/10.1016/j.rser.2014.11.099
[3] Zhou, J. and Shen, R. (2013) Dictionary of Soil Science. Science Press, Beijing, 10.
[4] Soares, J.C., Santos, C.S., Carvalho, S.M., Pintado, M.M. and Vasconcelos, M.W. (2019) Preserving the Nutritional Quality of Crop Plants under a Changing Climate: Importance and Strategies. Plant and Soil, 443, 1-26.
https://doi.org/10.1007/s11104-019-04229-0
[5] Onwuka, B. and Mang, B. (2018) Effects of Soil Temperature on Some Soil Properties and Plant Growth. Advances in Plants & Agriculture Research, 8, 34-37.
https://doi.org/10.15406/apar.2018.08.00288
[6] Thilakarathna, M.S., McElroy, M.S., Chapagain, T., Papadopoulos, Y.A. and Raizada, M.N. (2016) Belowground Nitrogen Transfer from Legumes to Non-Legumes under Managed Herbaceous Cropping Systems. A Review. Agronomy for Sustainable Development, 36, Article No. 58.
https://doi.org/10.1007/s13593-016-0396-4
[7] Yao, Y., Dai, Q., Gao, R., Gan, Y. and Yi, X. (2021) Effects of Rainfall Intensity on Runoff and Nutrient Loss of Gently Sloping Farmland in a Karst Area of SW China. PLOS ONE, 16, e0246505.
https://doi.org/10.1371/journal.pone.0246505
[8] Fischer, S., Hilger, T., Piepho, H.P., Jordan, I. and Cadisch, G. (2019) Do We Need More Drought for Better Nutrition? The Effect of Precipitation on Nutrient Concentration in East African Food Crops. Science of the Total Environment, 658, 405-415.
https://doi.org/10.1016/j.scitotenv.2018.12.181
[9] Dai, Z.M., Liu, G.F., Chen, H.H., Chen, C.R., Wang, J.K., Ai, S.Y., Wei, D., Li, D.M., Ma, B. and Tang, C.X. (2020) Ong-Term Nutrient Inputs Shift Soil Microbial Functional Profiles of Phosphorus Cycling in Diverse Agroecosystems. The ISME Journal, 14, 757-770.
https://doi.org/10.1038/s41396-019-0567-9
[10] Harter, J., Krause, H.M., Schuettler, S., Ruser, R., Fromme, M., Scholten, T., Kappler, A. and Behrens, S. (2014) Linking N2O Emissions from Biochar-Amended Soil to the Structure and Function of the N-Cycling Microbial Community. The ISME Journal, 8, 660-674.
https://doi.org/10.1038/ismej.2013.160
[11] Hobbie, S.E., Finlay, J.C., Janke, B.D., Nidzgorski, D.A., Millet, D.B. and Baker, L.A. (2017) Contrasting Nitrogen and Phosphorus Budgets in Urban Watersheds and Implications for Managing Urban Water Pollution. Proceedings of the National Academy of Sciences of the United States of America, 114, 4177-4182.
https://doi.org/10.1073/pnas.1618536114
[12] Ju, C., Xu, J., Wu, X.H., Dong, F.S., Liu, X.G., Tian, C.Y. and Zheng, Y.Q. (2017) Effects of Hexaconazole Application on Soil Microbes Community and Nitrogen Transformations in Paddy Soils. Science of the Total Environment, 609, 665-663.
https://doi.org/10.1016/j.scitotenv.2017.07.146
[13] Hao, T.X., Zhang, Y.Y., Zhang, J.B., Muller, C., Li, K.H., Zhang, K.P., Chu, H.Y., Stevens, C. and Liu, X.J. (2020) Chronic Nitrogen Addition Differentially Affects Gross Nitrogen Transformations in Alpine and Temperate Grassland Soils. Soil Biology and Biochemistry, 149, Article 107962.
https://doi.org/10.1016/j.soilbio.2020.107962
[14] Song, L., Li, Z.L., et al. (2020) Global Soil Gross Nitrogen Transformation Under Increasing Nitrogen Deposition. Global Biogeochemical Cycles, 35, e2020GB006711.
https://doi.org/10.1029/2020GB006711
[15] Song, H.X., Ph, D. and Li, S. (2006) Root Function in Nutrient Uptake and Soil Water Effect on NO-3-N and NHO+4-N Migration. Agricultural Sciences in China, 5, 377-383.
https://doi.org/10.1016/S1671-2927(06)60064-3
[16] Qian, F., Wang, W., Zhang, X. and Liu, H. (2016) Analysis on Land Use Research Progress by Citespace. Transactions of the Chinese Society of Agricultural Engineering, 32, 344-351.
[17] Chen, T., Gao, Y., Feng, Z., Yang, Y., Wu, K. and Zhao, H. (2021) Hotspots and Trends of Soil Ecosystem Services Based on Citespace. Journal of China Agricultural University, 26, 204-219.
[18] He, Y., Lan, Y., Zhang, H. and Ye, S. (2022) Research Characteristics and Hotspots of the Relationship between Soil Microorganisms and Vegetation: A Bibliometric Analysis. Ecological Indicators, 141, Article 109145.
https://doi.org/10.1016/j.ecolind.2022.109145
[19] Huang, X., Wang, K.R., Zou, Y.W. and Cao, X.C. (2021) Development of Global Soil Erosion Research at the Watershed Scale: A Bibliometric Analysis of the Past Decade. Environmental Science and Pollution Research, 28, 12232-12244.
https://doi.org/10.1007/s11356-020-11888-5
[20] Bilias, F., Nikoli, T., Kalderis, D. and Gasparatos, D. (2021) Towards a Soil Remediation Strategy Using Biochar: Effects on Soil Chemical Properties and Bioavailability of Potentially Toxic Elements. Toxics, 9, Article 184.
https://doi.org/10.3390/toxics9080184
[21] Wang, J.Y., Cai, Y., Yang, J. and Zhao, X.W. (2021) Research Trends and Frontiers on Source Appointment of Soil Heavy Metal: A Scientometric Review (2000-2020). Environmental Science and Pollution Research, 28, 52764-52779.
https://doi.org/10.1007/s11356-021-16151-z
[22] Sun, Y.T., Yang, C., Liang, H.J., Zhang, S.Q., Zhang, R.F., Dong, Y.L., Tanveer, S.K. and Hai, J.B. (2022) Health Risk Analysis of Microplastics in Soil in the 21st Century: A Scientometrics Review. Frontiers in Environmental Science, 10, Article ID: 976237.
https://doi.org/10.3389/fenvs.2022.976237
[23] Gao, L., Hu, T.Z., Li, L., Zhou, M.Y., and Zhu, B.Q. (2022) Land Pollution Research: Progress, Challenges, and Prospects. Environmental Research Communications, 4, 112001.
https://doi.org/10.1088/2515-7620/ac9e49
[24] Liu, Y., Wu, K. and Zhao, R. (2020) Bibliometric Analysis of Research on Soil Health from 1999 to 2018. Journal of Soils and Sediments, 20, 1513-1525.
https://doi.org/10.1007/s11368-019-02519-9
[25] Zhao, Q., Zhou, J., Shen, R. and Teng, Y. (2010) Orientating a Changing World, Innovating Soil Science in the Future—A Summary Report of the 19th World Congress of Soil Science. Soils, 42, 681-695.
[26] Lan, G. and Zhang, Y. (2015) Advancement and Trends in Higher Education Research Abroad—The Visual Analysis on 12 Kinds of SSCl and A&HCl Higher Education Journals. Journal of Higher Education, 36, 87-98.
[27] Yin, X., Huang, J., Huang, J., Bao, X., Zhou, L., Li, W., Liu, H., Zhang, S. and Liu, Z. (2020) Research Progress of Tea Aroma Based on CiteSpace Visual Analysis. Journal of Tea Science, 40, 143-156.
[28] Lin, D., Chen, C. and Liu, Z. (2011) Study on Zipf-Pareto Distribution of the Betweenness Centrality of a Co-Citation Network. Journal of the China Society for Scientific and Technical Information, 30, 76-82.
[29] Zong, S. (2019) Evaluation of Core Authors Based on Price Law and the Comprehensive Index Methoda Case Study of Chinese Journal of Scientific and Technical Periodicals. Chinese Journal of Scientific and Technical Periodicals, 27, 1310-1314.
[30] Jordan, P., Melland, A.R., Mellander, P.E., Shortle, G. and Wall, D. (2012) The Seasonality of Phosphorus Transfers from Land to Water: Implications for Trophic Impacts and Policy Evaluation. Science of the Total Environment, 434, 101-109.
https://doi.org/10.1016/j.scitotenv.2011.12.070
[31] Zhu, W., Xiang, X., Hou, L., Wang, B. and Tang, L. (2018) Knowledge Mapping Analysis of Ecological Risk Research Based on Citespace. Acta Ecologica Sinica, 38, 4504-4515.
https://doi.org/10.5846/stxb201712262323
[32] Behie, S.W. and Bidochka, M.J. (2014) Nutrient Transfer in Plant-Fungal Symbioses. Trends in Plant Science, 19, 734-740.
https://doi.org/10.1016/j.tplants.2014.06.007
[33] Marschner, H. and Dell, B. (1994) Nutrient Uptake in Mycorrhizal Symbiosis. Plant and Soil, 159, 89-102.
https://doi.org/10.1007/BF00000098
[34] Fellbaum, C.R., Mensah, J.A., Cloos, A.J., Strahan, A.J., Pfeffer, P.E., Kiers, E.T. and Bucking, H. (2014) Fungal Nutrient Allocation in Common Mycelia Networks Is Regulated by the Carbon Source Strength of Individual Host Plants. New Phytologist, 203, 646-656.
https://doi.org/10.1111/nph.12827
[35] Hobbie, E.A. and Shugart, M.H.H. (1999) Interpretation of Nitrogen Isotope Signatures Using the NIFTE Model. Oecologia, 120, 405-415.
https://doi.org/10.1007/s004420050873
[36] Currie, W.S., Nadelhoffer, K.J. and Colman, B. (2002) Long-Term Movement of 15N Tracers into Fine Woody Debris under Chronically Elevated N Inputs. Plant and Soil, 238, 313-323.
https://doi.org/10.1023/A:1014431304760
[37] Currie, W.S. and Nadelhoffer, K.J. (1999) Original Articles: Dynamic Redistribution of Isotopically Labeled Cohorts of Nitrogen Inputs in Two Temperate Forests. Ecosystems, 2, 4-18.
https://doi.org/10.1007/s100219900054
[38] He, X.H., Critchley, C. and Bledsoe, C. (2003) Nitrogen Transfer within and between Plants through Common Mycorrhizal Networks (CMNs). Critical Reviews in Plant Sciences, 22, 531-567.
https://doi.org/10.1080/713608315
[39] Javaid, A. (2009) Arbuscular Mycorrhizal Mediated Nutrition in Plants. Journal of Plant Nutrition, 32, 1595-1618.
https://doi.org/10.1080/01904160903150875
[40] Guo, D., Mitchell, R.J., Withington, J.M., Fan, P.P. and Hendricks, J.J. (2008) Endogenous and Exogenous Controls of Root Life Span, Mortality and Nitrogen Flux in a Longleaf Pine Forest: Root Branch Order Predominates. Journal of Ecology, 96, 737-745.
https://doi.org/10.1111/j.1365-2745.2008.01385.x
[41] Watt, M., Silk, W.K. and Passioura, A.J.B. (2006) Rates of Root and Organism Growth, Soil Conditions, and Temporal and Spatial Development of the Rhizosphere. Annals of Botany, 97, 839-855.
https://doi.org/10.1093/aob/mcl028
[42] Jarritt, N.P. and Lawrence, D. (2007) Fine Sediment Delivery and Transfer in lowland Catchments: Modelling Suspended Sediment Concentrations in Response to Hydrological Forcing. Hydrological Processes, 21, 2729-2744.
https://doi.org/10.1002/hyp.6402
[43] Mellander, P.E., Melland, A.R., Jordan, P., Wall, D.P., Murphy, P.N.C. and Shortle, G. (2012) Quantifying Nutrient Transfer Pathways in Agricultural Catchments Using High Temporal Resolution Data. Environmental Science & Policy, 24, 44-57.
https://doi.org/10.1016/j.envsci.2012.06.004
[44] Lance, A.C., Burke, D.J., Hausman, C.E. and Burns, J.H. (2019) Microbial Inoculation Influences Arbuscular Mycorrhizal Fungi Community Structure and Nutrient Dynamics in Temperate Tree Restoration. Restoration Ecology, 27, 1084-1092.
https://doi.org/10.1111/rec.12962
[45] Chen, Q., An, X., Li, H., Zhu, Y., Su, J. and Cui, L. (2017) Do Manure-Borne or Indigenous Soil Microorganisms Influence the Spread of Antibiotic Resistance Genes in Manured Soil? Soil Biology and Biochemistry, 114, 229-237.
https://doi.org/10.1016/j.soilbio.2017.07.022
[46] Thomas, I.A., Mellander, P.E., Murphy, P.N.C., Fenton, O., Shine, O., Djodjic, F., Dunlop, P. and Jordan, P. (2016) A Sub-Field Scale Critical Source Area Index for Legacy Phosphorus Management Using High Resolution Data. Agriculture Ecosystems & Environment, 233, 238-252.
https://doi.org/10.1016/j.agee.2016.09.012
[47] Mellander, P.E., Jordan, P., Wall, D.P., Melland, A.R., Meehan, R., Kelly, C. and Shortle, G. (2012) Delivery and Impact Bypass in a Karst Aquifer with High Phosphorus Source and Pathway Potential. Water Research, 46, 2225-2236.
https://doi.org/10.1016/j.watres.2012.01.048
[48] Ferrol, N., Azcon-Aguilar, C. and Perez-Tienda, J. (2019) Review: Arbuscular Mycorrhizas as Key Players in Sustainable Plant Phosphorus Acquisition: An Overview on the Mechanisms Involved. Plant Science, 280, 441-447.
https://doi.org/10.1016/j.plantsci.2018.11.011
[49] Luginbuehl, L.H., Menard, G.N., Kurup, S., Van Erp, H., Radhakrishnan, G.V., Breakspear, A., Oldroyd, G.E.D. and Eastmond, P.J. (2017) Fatty Acids in Arbuscular Mycorrhizal Fungi Are Synthesized by the Host Plant. Science, 356, 1175-1178.
https://doi.org/10.1126/science.aan0081
[50] Hallama, M., Pekrun, C., Lambers, H. and Kandeler, E. (2019) Hidden Miners—The Roles of Cover Crops and Soil Microorganisms in Phosphorus Cycling through Agroecosystems. Plant and Soil, 434, 7-45.
https://doi.org/10.1007/s11104-018-3810-7
[51] Clark, K.L., Branch, L.C. and Villarreal, D. (2016) Burrowing Herbivores Alter Soil Carbon and Nitrogen Dynamics in a Semi-Arid Ecosystem, Argentina. Soil Biology and Biochemistry, 103, 253-261.
https://doi.org/10.1016/j.soilbio.2016.08.027
[52] Li, Y., Ran, W., Zhang, R., Sun, S. and Xu, G. (2009) Facilitated Legume Nodulation, Phosphate Uptake and Nitrogen Transfer by Arbuscular Inoculation in an Upland Rice and Mung Bean Intercropping System. Plant and Soil, 315, 285-296.
https://doi.org/10.1007/s11104-008-9751-9
[53] Liu, L., Wang, Y., Yan, X., Li, J., Jiao, N. and Hu, S. (2017) Biochar Amendments Increase the Yield Advantage of Legume-Based Intercropping Systems over Monoculture. Agriculture Ecosystems & Environment, 237, 16-23.
https://doi.org/10.1016/j.agee.2016.12.026
[54] Sharpley, A.N., Mcdowell, R.W. and Kleinman, P. (2001) Phosphorus Loss from Land to Water: Integrating Agricultural and Environmental Management. Plant & Soil, 237, 287-307.
https://doi.org/10.1023/A:1013335814593
[55] Phillips, I.R. (2002) Nutrient Leaching Losses from Undisturbed Soil Cores Following Applications of Piggery Wastewater. Soil Research, 40, 515-532.
https://doi.org/10.1071/SR01058
[56] Zhu, X., Chen, B., Zhu, L. and Xing, B. (2017) Effects and Mechanisms of Biochar-Microbe Interactions in Soil Improvement and Pollution Remediation: A Review. Environmental Pollution, 227, 98-115.
https://doi.org/10.1016/j.envpol.2017.04.032
[57] Bender, M.A., Santos, D.R.D., Tiecher, T., Minella, J.P.G., Peixoto de Barros, C.A. and Ramon, R. (2018) Phosphorus Dynamics during Storm Events in a Subtropical Rural Catchment in Southern Brazil. Agriculture Ecosystems & Environment, 261, 93-102.
https://doi.org/10.1016/j.agee.2018.04.004
[58] Ockenden, M.C., Deasy, C.E., Beven, K.J., Burke, S., Collins, A.L., Evans, R., Falloon, P.D., Forber, K.J. and Hiscock, K.M. (2016) Changing Climate and Nutrient Transfers: Evidence from High Temporal Resolution Concentration-Flow Dynamics in Headwater Catchments. Science of the Total Environment, 548, 325-339.
https://doi.org/10.1016/j.scitotenv.2015.12.086
[59] Hossain, M.Z., Bahar, M.M., Sarkar, B., Donne, S.W., Ok, Y.S., Palansooriya, K.N., Kirkham, M.B., Chowdhury, S. and Bolan, N. (2020) Biochar and Its Importance on Nutrient Dynamics in Soil and Plant. Biochar, 2, 379-420.
https://doi.org/10.1007/s42773-020-00065-z
[60] Kumar, A.N., Dissanayake, P.D., Masek, O., Priya, A., Lin, C.S.K., Ok, Y.S. and Kim, S.H. (2021) Recent Trends in Biochar Integration with Anaerobic Fermentation: Win-Win Strategies in a Closed-Loop. Renewable and Sustainable Energy Reviews, 149, Article ID: 111371.
https://doi.org/10.1016/j.rser.2021.111371
[61] Branca, T.A., Pistocchi, C., Colla, V., Ragaglini, G., Amato, A., Tozzini, C., Mudersbach, D., Morillon, A., Rex, M. and Romaniello, L. (2014) Investigation of (BOF) Converter Slag Use for Agriculture in Europe. Metallurgical Research & Technology, 111, 155-167.
https://doi.org/10.1051/metal/2014022
[62] DeLuca, T.H., Gundale, M.J., MacKenzie, M.D. and Jones, D.L. (2015) Sorption and Remediation of Organic Compounds in Soils and Sediments by (Activated) Biochar. In: Lehmann, J. and Joseph, S., Eds., Biochar for Environmental Management, Routledge, Abingdon, 453-486.
https://doi.org/10.4324/9780203762264-22
[63] Rasul, M., Cho, J., Shin, H.S. and Hur, J. (2021) Biochar-Induced Priming Effects in Soil via Modifying the Status of Soil Organic Matter and Microflora: A Review. Science of the Total Environment, 805, Article ID: 150304.
https://doi.org/10.1016/j.scitotenv.2021.150304
[64] Pluer, E.G.M., Robinson, D.T., Meinen, B.U. and Macrae, M.L. (2020) Pairing Soil Sampling with Very-High Resolution UAV Imagery: An Examination of Drivers of Soil and Nutrient Movement and Agricultural Productivity in Southern Ontario. Geoderma, 379, Article ID: 114630.
https://doi.org/10.1016/j.geoderma.2020.114630
[65] Poon, D., Whalen, J.K. and Michaud, A.R. (2021) Re-Conceptualizing the Soil and Water Assessment Tool to Predict Subsurface Water Flow through Macroporous Soils. Frontiers in Water, 3, Article ID: 704291.
https://doi.org/10.3389/frwa.2021.704291

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.