Bibliometric Analysis of Soil Classification Research in Soil Science from 1980 to 2023

Öz

Bibliometric analyses shed light on the patterns in research and the influence of science. Based on 4467 papers from the Web of Science database, this article provides a bibliometric overview of soil science research on soil classification from 1980 to 2023. The study determines four time periods: 1980–1995; 1996–2005; 2006–2015; and 2016–2023. Research between 1980–1995 concentrated on basic subjects such as "adsorption," "classification," and "organic matter." The emphasis switched to environmental issues between 1996 and 2005, with "carbon," "contamination," and "soils" taking center stage. From 2006 to 2015, there was a continued focus on the environment, accompanied by more in-depth research on related subjects. Technological developments became more visible between 2016 and 2023, with particular attention paid to "carbon," "vegetation," "classification," "spatial prediction," "models," and "spectroscopy." Throughout, concepts like "classification," "soils," and "organic matter" were crucial, and after 2005, research on "contamination" and "heavy metals" grew more intense. Technological subjects, particularly "spectroscopy" and "spatial prediction," as well as regional studies, gained importance. In conclusion, the analysis shows how basic research in soil classification has given way to increasingly intricate, technologically advanced studies that reflect a greater emphasis on the environment and the application of innovative techniques for accurate and thorough soil examinations.

Anahtar Kelimeler

• : Bibliometric Analysis
• Soil classification
• Spatial prediction
• Soil Ecology
• Soil Survey and Mapping

Kaynakça

1. Adewara OA, Adebayo-Olajide TC, Ayedun JS, Kotun BC, Adeleke AJ, Brown A D, Ogunbanwo ST (2024). Soil formation, soil health and soil biodiversity. In Aransiola SA, Babaniyi BR, Aransiola AB, Maddela NR (eds), Prospects for Soil Regeneration and Its Impact on Environmental Protection. Earth and Environmental Sciences Library. Springer, Cham. AG Switzerland, pp. 95-121.
2. Altay Y, Kaplan S (2023). Bibliometric analyzes of some major effect genes associated with meat yield traits in livestock. Selcuk Journal of Agriculture and Food Sciences 37(3): 608-617.
3. Arrouays D, Grundy MG, Hartemink AE, Hempel JW, Heuvelink GB, Hong SY, Zhang GL (2014). GlobalSoilMap: Toward a fine-resolution global grid of soil properties. Advances in Agronomy 125: 93-134.
4. Azmin SNFLM, Rahman HM, Lim NNMH, Arbaiy N (2024). Machine learning for soil classification: challenges and opportunities. Journal of Applied Science, Technology and Computing 1(1): 29-38.
5. Bezak N, Mikoš M, Borrelli P, Alewell C, Alvarez P, Anache JAA, Panagos P (2021). Soil erosion modelling: A bibliometric analysis. Environmental Research 197: 111087.
6. Bhat SA, Hussain I, Huang NF (2023). Soil suitability classification for crop selection in precision agriculture using GBRT-based hybrid DNN surrogate models. Ecological Informatics 75: 102109.
7. Brevik EC, Calzolari C, Miller BA, Pereira P, Kabala C, Baumgarten A, Jordán A (2016). Soil mapping, classification, and pedologic modeling: History and future directions. Geoderma 264: 256-274.
8. Brichi L, Fernandes JV, Silva BM, Vizú JDF, Junior JN, Cherubin MR (2023). Organic residues and their impact on soil health, crop production and sustainable agriculture: A review including bibliographic analysis. Soil Use and Management 39(2): 686-706.

9. Chen J, Chen S, Liu Z, Wu L, Xiang H, Zhang J, Wei H (2024). A Bibliometric Analysis on Research Progress of Earthworms in Soil Ecosystems. Biology 13(6): 385.
10. de Souza Oliveira Filho J (2020). A bibliometric analysis of soil research in Brazil 1989–2018. Geoderma Regional 23: e00345.
11. Dede V, Turan İD, Dengiz O, Serin S, Pacci S (2022). Effects of periglacial landforms on soil erosion sensitivity factors and predicted by artificial intelligence approach in Mount Cin, NE Turkey. Eurasian Soil Science 55(12): 1857-1870.
12. Dedeoğlu M (2020). Generation of land quality index for agricultural usage at Güvenç basin, Turkey. Applied Ecology & Environmental Research 18(1): 1829-1845.
13. Demir S, Başayiğit L (2021). Fizyografyadaki değişimin profil gelişimine ve toprak özellikleri üzerine etkisi. Türkiye Tarımsal Araştırmalar Dergisi 8(3): 261-272.
14. Demir S, Alaboz P, Dengiz O, Şenol H, Yilmaz K, Başkan O (2022). Physico-chemical and mineralogical changes of lithic xerorthent soils on volcanic rocks under semi-arid ecological conditions. Earth Sciences Research Journal 26(4): 291-301.
15. Demir S (2024). Determination of suitable agricultural areas and current land use in Isparta Province, Türkiye, through a linear combination technique and geographic information systems. Environment, Development and Sustainability 26: 13455-13493.
16. Demir S, Dursun İ (2024). Assessment of pre-and post-fire erosion using the RUSLE equation in a watershed affected by the forest fire on Google Earth Engine: the study of Manavgat River Basin. Natural Hazards 120(3): 2499-2527.
17. Dengiz O, Demirağ Turan İ (2023). Soil quality assessment for desertification based on multi-indicators with the best-worst method in a semi-arid ecosystem. Journal of Arid Land 15(7): 779-796.
18. Esetlili MT, Kurucu Y, Özden N, Şanlı FB, Özen F, Bolca M (2020). Stereo foto yorumlama teknikleri ile toprak etüd ve haritalama çalışmalarında multispektral verilerin katkısı. Journal of Agriculture Faculty of Ege University 57(4): 140-150.
19. Feng Z, Miao Q, Shi H, Li X, Yan J, Gonçalves JM, Feng W (2024). Global trends and networks in soil fertility enhancement techniques: a bibliometric analysis. Journal of Soil Science and Plant Nutrition 24(3): 4099-4117.
20. Hartemink AE, Minasny B (2014). Towards digital soil morphometrics. Geoderma, 230: 305-317.
21. Hartemink AE (2019). Open access publishing and soil science–Trends and developments. Geoderma Regional 18: e00231.
22. Hou D, Bolan NS, Tsang DC, Kirkham MB, O'connor D (2020). Sustainable soil use and management: An interdisciplinary and systematic approach. Science of the Total Environment 729: 138961.
23. Jia L, Wang W, Zvomuya F, He H (2024). Trends in Soil Science over the Past Three Decades (1992–2022) Based on the Scientometric Analysis of 39 Soil Science Journals. Agriculture 14(3): 445.
24. Karaca S, Dengiz O, Turan İD, Özkan B, Dedeoğlu M, Gülser F, Ay A (2021). An assessment of pasture soils quality based on multi-indicator weighting approaches in semi-arid ecosystem. Ecological Indicators 121: 107001.
25. Lehmann J, Bossio DA, Kögel-Knabner I, Rillig MC (2020). The concept and future prospects of soil health. Nature Reviews Earth & Environment 1(10): 544-553.
26. Ma Y, Minasny B, Malone BP, Mcbratney AB (2019). Pedology and digital soil mapping (DSM). European Journal of Soil Science 70(2): 216-235.
27. Mao G, Shi T, Zhang S, Crittenden J, Guo S, Du H (2018). Bibliometric analysis of insights into soil remediation. Journal of Soils and Sediments 18: 2520-2534.
28. McBratney AB, Odeh IO, Bishop TF, Dunbar MS, Shatar TM (2000). An overview of pedometric techniques for use in soil survey. Geoderma 97(3-4): 293-327.
29. McBratney AB, Santos MM, Minasny B (2003). On digital soil mapping. Geoderma 117(1-2): 3-52.
30. Mermut AR, Eswaran H (2001). Some major developments in soil science since the mid-1960s. Geoderma 100(3-4): 403-426.
31. Minasny B, Hartemink AE, McBratney A (2010). Individual, country, and journal self-citation in soil science. Geoderma 155(3-4): 434-438.
32. Minasny B, Berglund Ö, Connolly J, Hedley C, de Vries F, Gimona A, Widyatmanti W (2019). Digital mapping of peatlands–A critical review. Earth-Science Reviews 196: 102870.
33. Mokhnacheva YV, Tsvetkova VA (2020). Bibliometric analysis of soil science as a scientific area. Eurasian Soil Science 53: 838-844.
34. Santos MM, Guenat C, Bouzelboudjen M, Golay F (2000). Three-dimensional GIS cartography was applied to study the spatial variation of soil horizons in a Swiss floodplain. Geoderma 97(3-4): 351-366.
35. Srivastava P, Shukla A, Bansal A (2021). A comprehensive review on soil classification using deep learning and computer vision techniques. Multimedia Tools and Applications 80(10): 14887-14914.
36. Talawar S, Rhoades RE (1998). Scientific and local classification and management of soils. Agriculture and Human Values 15: 3-14.
37. Tang S, Wang C, Song J, Ihenetu SC, Li G (2024). Advances in studies on heavy metals in urban soil: a bibliometric analysis. Sustainability 16(2): 860.
38. Usharani KV, Roopashree KM, Naik D (2019). Role of soil physical, chemical and biological properties for soil health improvement and sustainable agriculture. Journal of Pharmacognosy and Phytochemistry 8(5): 1256-1267.
39. Wadoux AMC, McBratney AB, Minasny B (2020). Understanding spatial variation in soil properties through geostatistical simulation. Geoderma 365: 114227.
40. Xu J, Li Y, Zhang M, Zhang S (2024). Sustainable agriculture in the digital era: past, present, and future trends by bibliometric analysis. Heliyon.
41. Xu Y, Lyu J, Liu H, Xue Y (2022). A bibliometric and visualized analysis of the global literature on black soil conservation from 1983–2022 based on CiteSpace and VOSviewer. Agronomy 12: 2432.
42. Zhang H, Liu X, Yi J, Yang X, Wu T, He Y, Tian P (2020). Bibliometric analysis of research on soil water from 1934 to 2019. Water 12: 1631.