USE OF GEOSTATISTICS IN THE ASSESSMENT OF SOIL QUALITY: STATE OF THE ART

Authors

DOI:

https://doi.org/10.18066/revistaunivap.v32i74.4730

Keywords:

Soil Physics, Krigen, temporal variability

Abstract

The objective of this study was to conduct a state-of-the-art review covering a 15-year period on the use of geostatistics in the assessment of soil physical quality and to identify possible gaps in the literature on this topic. The study was structured in three stages: topic definition, information extraction, and results analysis. The search was conducted on the WoSCC and CAPES platform, covering publications from 2010 to 2025. English terms were used to broaden the scope in high-impact journals, with a focus on scientific articles. The extracted data included metrics such as number of publications, authors, citations, and connections to the UN Sustainable Development Goals. Analyses were organized in Excel. The bibliographic analysis identified 93 articles related to geostatistics, spatial variability, and soil physical quality, with Brazil standing out as responsible for 41.93% of the publications. The annual average was 4.3 studies from 2015 to 2025, peaking in 2022. Agricultural sciences accounted for 71.42% of the studies, with soil science being the most prominent field. The main journals were national, such as Revista Brasileira de Ciência do Solo (RBCS) and Engenharia Agrícola, and international, such as Catena and Geoderma. Most studies were aligned with the SDGs, especially Zero Hunger and Sustainable Agriculture. Geostatistics has become a key tool in assessing soil physical quality, with Brazil playing a leading role in publications. Its application contributes to sustainable management and the optimization of natural resources. Nevertheless, greater technical training is needed to expand its use in a critical and effective manner.

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Author Biographies

Pedro Luan Ferreira da Silva, Universidade Estadual de Maringá

Agronomist, PhD student in Agronomy (Soils and Plant Nutrition)

Miguel Aparecido Risson Coppo, Universidade Estadual de Maringá

Agronomist, Doctoral student in Agronomy

Antônio Marcos Azevedo Batista, State University of Maringá

Agronomist, Doctoral Student in Agronomy

Jorge Wilian de Souza dos Santos, State University of Maringá

Agronomist, Doctoral Student in Agronomy

References

Adhikari, K., Hartemink, A. E., Minasny, B., Bou Kheir, R., Greve, M. B., & Greve, M. H. (2014). Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark. PLoS ONE, 9(8), e105519. https://doi.org/10.1371/journal.pone.0105519

Andrade, R. S., Stone, L. F., & Godoy, S. G. (2013). Estimativa da resistência do solo à penetração baseada no índice S e no estresse efetivo. Revista Brasileira de Engenharia Agrícola e Ambiental, 17(9), 932–937. https://doi.org/10.1590/S1415-43662013000900004

Andrews, S. S., Karlen, D. L., & Cambardella, C. A. (2004). The soil management assessment framework. Soil Science Society of America Journal, 68(6), 1945-1962. https://doi.org/10.2136/sssaj2004.1945

Bangroo, S. A., Sofi, J. A., Bhat, M. I., Mir, S. A., Mubarak, T., & Bashir, O. (2021). Quantifying spatial variability of soil properties in apple orchards of Kashmir, India, using geospatial techniques. Arabian Journal of Geosciences, 14(1), 2047. https://doi.org/10.1007/s12517-021-08457-6

Behera, S. K., Shukla, A. K., Kumar, R., Mishra, R., Shukla, V., Yadav, H., & Datta, S. P. (2025). Geostatistics-based understanding of temporal changes in spatial distribution of soil fertility parameters in an intensively cultivated area of North India. Journal of Soil Science and Plant Nutrition, 25(1), 1-19. https://doi.org/10.1007/s42729-025-02388-x

Beutler, A. N., Silva, M. L. N., Curi, N., Ferreira, M. M., Cruz, J. C., & Pereira Filho, I. A.. (2001). Resistência à penetração e permeabilidade de latossolo vermelho distrófico típico sob sistemas de manejo na região dos cerrados. Revista Brasileira de Ciência do Solo, 25(1), 167–177. https://doi.org/10.1590/S0100-06832001000100018

Bouma, J. (1991). Influence of soil macroporosity on environmental quality. Advances in Agronomy, 46(1), 1–37. https://doi.org/10.1016/S0065-2113(08)60577-5

Câmara, F. A., Fernandes, J. P. M., Mooreira, C. S., & Telles, M. A. D. (2019). O estado da arte como metodologia utilizada para projeto de pesquisa dos egressos de instituições de acolhimento. Caderno Humanidades em Perspectivas, 6(3), 133-144.

Cherubin. M. R., Karlen, D. R., Cerri, C. E. P., Franco, A. L. C., Tormena, C. A., Davies, C. A., & Cerri, C. C. (2016). Soil quality indexing strategies for evaluating sugarcane expansion in Brazil. PLoS ONE, 11(3), e0150860. https://doi.org/10.1371/journal.pone.0150860

Dehsorkhi, A. N., Ghanbari, S. A., Makarian, H., & Asgharipour, M. R. (2025). Spatial relationship of weeds with soil properties in wheat field using geostatistical methods. Crop Protection, 189(1): 107055. https://doi.org/10.1016/j.cropro.2024.107055

Dexter, A. R. (2004). Soil physical quality. Part I. Theory, effects, density and organic matter and effects on root growth. Geoderma, 120(3–4), 201–214. https://doi.org/10.1016/j.geoderma.2003.09.004

Dexter, A. R., Czyż, E. A., Richard, G., & Reszkowska, A. (2008). A user-friendly water retention function that takes account of the textural and structural pore spaces in soil. Geoderma, 143(3–4), 243–253. https://doi.org/10.1016/j.geoderma.2007.11.010

Doran, J. W., & Parkin, T. B. (1994). Defining and Assessing Soil Quality. J. W. Doran, D. C. Coleman, D. F. Bezdicek, & B. A. Stewart (Org.), SSSA Special Publications (1º ed., V. 35, p. 1–21). Wiley. https://doi.org/10.2136/sssaspecpub35.c1

Fu, W., Zhao, K., Zhang, C., & Tunney, H. (2011). Using Moran’s I and geostatistics to identify spatial patterns of soil nutrients in two different long‐term phosphorus‐application plots. Journal of Plant Nutrition and Soil Science, 174(5), 785–798. https://doi.org/10.1002/jpln.201000422

Gomes, N. M., Silva, A. M. D., Mello, C. R. D., Faria, M. A. D., & Oliveira, P. M. D. (2007). Métodos de ajuste e modelos de semivariograma aplicados ao estudo da variabilidade espacial de atributos físico-hídricos do solo. Revista Brasileira de Ciência do Solo, 31(1), 435-443. https://doi.org/10.1590/S0100-06832007000300003

Goovaerts, P. (1999). Geostatistics in soil science: state-of-the-art and perspectives. Geoderma, 89(1-2), 1-45. https://doi.org/10.1016/S0016-7061(98)00078-0

Karlen, D. L., Veum, K. S., Sudduth, K. A., Obrycki, J. F., & Nunes, M. R. (2019). Soil health assessment: Past accomplishments, current activities, and future opportunities. Soil and Tillage Research, 195(1), 104365. https://doi.org/10.1016/j.still.2019.104365

Kianguebene-Koussingounina, C. E., Olajide-Kayode, J. O., Oyediran, I. A., Kazapoe, R. W., Amuah, E. E. Y., Naziru, B., Umaru, A. O., & Addai, M. O. (2023). Geostatistical assessment of soils in Ibadan, Southwest Nigeria: Focus on agricultural lands. Environmental and Sustainability Indicators, 19(1), 100287. https://doi.org/10.1016/j.indic.2023.100287

Marchetti, A., Piccini, C., Francaviglia, R., & Mabit, L. (2012). Spatial distribution of soil organic matter using geostatistics: A key indicator to assess soil degradation status in central Italy. Pedosphere, 22(2), 230–242. https://doi.org/10.1016/S1002-0160(12)60010-1

Masoud, A. A., El-Horiny, M. M., Atwia, M. G., Gemail, K. S., & Koike, K. (2018). Assessment of groundwater and soil quality degradation using multivariate and geostatistical analyses, Dakhla Oasis, Egypt. Journal of African Earth Sciences, 142, 64–81. https://doi.org/10.1016/j.jafrearsci.2018.03.009

Milillo, T. M., Sinha, G., & Gardella JR., J. A. (2012). Use of geostatistics for remediation planning to transcend urban political boundaries. Environmental Pollution, 170(1):52-62. https://doi.org/10.1016/j.envpol.2012.06.006

Oliveira, R. P., Grego, C. R., & Brandão, Z. N. (2015). Geoestatística aplicada na agricultura de precisão utilizando o Vesper. Embrapa.

Oliver, M. A. (2013). Precision agriculture and geostatistics: How to manage agriculture more exactly. Significance, 10(2), 17-22. DOI:10.1111/j.1740-9713.2013.00646.x

Portal de Periódicos. CAPES. (2025). Portal de Periódicos da CAPES. Recuperado 15 de maio de 2026, de https://www.periodicos.capes.gov.br/

Reynolds, W. D., Drury, C. F., Tan, C. S., Fox, C. A., & Yang, X. M. (2009). Use of soil indicators and pore volume-function characteristics to quantify soil physical quality. Geoderma, 152(3-4): 252-263. https://doi.org/10.1016/j.geoderma.2009.06.009

Rodrigues, M. S., Castrignanò, A., Belmonte, A., Silva, K. A. D., & Lessa, B. F. D. T. (2020). Geostatistics and its potential in Agriculture 4.0. Revista Ciência Agronômica, 51(5). https://doi.org/10.5935/1806-6690.20200095

Sağlam, M., Dengiz, O., & Saygın, F. (2015). Assessment of horizontal and vertical variabilities of soil quality using multivariate statistics and geostatistical methods. Communications in Soil Science and Plant Analysis, 46(13), 1677–1697. https://doi.org/10.1080/00103624.2015.1045596

Sanad, H., Moussadek, R., Mouhir, L., Lhaj, M. O., Zahidi, K., Dakak, H., Manhou, K., & Zouahri, A. (2025). Ecological and human health hazards evaluation of toxic metal contamination in agricultural lands using multi-index and geostatistical techniques across the Mnasra area of Morocco’s Gharb Plain Region. Journal of Hazardous Materials Advances, 18(1). 100724. https://doi.org/10.1016/j.hazadv.2025.100724

Schaffrath, V. R., Gonçalves, A. C. A., Sousa, A. J., & Tormena, C. A. (2015). Spatial correlation between physical properties of soil and weeds in two management systems. Revista Brasileira de Ciência do Solo, 39(1), 279-288. https://doi.org/10.1590/01000683rbcs20150568

Schaffrath, V. R., Tormena, C. A., Fidalski, J., & Gonçalves, A. C. A. (2008). Variabilidade e correlação espacial de propriedades físicas de solo sob plantio direto e preparo convencional. Revista Brasileira de Ciência do Solo, 32(4), 1369-1377. https://doi.org/10.1590/S0100-06832008000400001

Silva, A. L., Mariano, D. C., Ebling, Â. A., Oliveira Neto, C. F., Viégas, I. J. M., & Okumura, R. S. (2023). Geoestatística para o mapeamento da variabilidade espacial de atributos do solo em sistemas de manejo do solo na Amazônia brasileira. Revista em Agronegócio e Meio Ambiente, 16(1), 1–16. https://doi.org/10.17765/2176-9168.2023v16n1e9417

Silva, C. J. da. (2019). Variabilidade espacial de indicadores de qualidade do solo em uma área sob cultivo orgânico [Dissertação de Mestrado, Universidade Federal Rural do Rio de Janeiro]. RIMA- Repositório de Múltiplos Acervos da UFRRJ. https://rima.ufrrj.br/jspui/handle/20.500.14407/13293

Silva, L. F. V. da., Pedron, F. A., Santos, J. C. B. dos., Pinto, A. A., & Azevedo, A. C. de. (2025). A scientometric review of research on saprolite in Brazil from 1990 to 2022. Revista Brasileira de Engenharia Agrícola e Ambiental, 29(1), e280446. https://doi.org/10.1590/1807-1929/agriambi.v29n1e280446

Silveira, M. L., & Kohmann, M. M. (2020). Maintaining soil fertility and health for sustainable pastures. In M. Rouquette Jr., V. Olson-Corriher, & G. E. Aiken (Eds.), Management strategies for sustainable cattle production in southern pastures (pp. 35–58). Academic Press. https://doi.org/10.1016/B978-0-12-814474-9.00003-7

Siqueira, D. S., Marques Júnior, J., & Pereira, G. T. (2010). The use of landforms to predict the variability of soil and orange attributes. Geoderma, 155(1–2), 55–66. https://doi.org/10.1016/j.geoderma.2009.11.024

Solgi, E., & Jalili, M. R. (2021). Zoning and human health risk assessment of arsenic and nitrate contamination in groundwater of agricultural areas of the twenty-two village with geostatistics (Case study: Chahardoli Plain of Qorveh, Kurdistan Province, Iran). Agricultural Water Management, 255(2), 107023. https://doi.org/10.1016/j.agwat.2021.107023

Souza, Z. M. D., Marques Júnior, J., & Pereira, G. T. (2010). Geoestatística e atributos do solo em áreas cultivadas com cana-de-açúcar. Ciência Rural, 40(1), 48-56. https://doi.org/10.1590/S0103-84782009005000243

Steffens, M., & Buddenbaum, H. (2013). Laboratory imaging spectroscopy of a stagnic Luvisol profile—High resolution soil characterisation, classification and mapping of elemental concentrations. Geoderma, 195–196, 122–132. https://doi.org/10.1016/j.geoderma.2012.11.011

Teixeira, P. M. M. (2023). Estados da arte: aparando arestas na compreensão dessa modalidade de pesquisa. Ciência & Educação, 29(1), e23034. https://doi.org/10.1590/1516-731320230034

Tormena, C. A., Silva, A. P., & Libardi, P. L. (1998). Caracterização do intervalo hídrico ótimo de um latossolo roxo sob plantio direto. Revista Brasileira de Ciência do Solo, 22(4), 573–581. https://doi.org/10.1590/S0100-06831998000400002

Usowicz, B., & Lipiec, J. (2017). Spatial variability of soil properties and cereal yield in a cultivated field on sandy soil. Soil and Tillage Research, 174(1): 241–250. https://doi.org/10.1016/j.still.2017.07.015

Vitória, E. L. D., Fernandes, H. C., Teixeira, M. M., Cecon, P. R., & Lacerda, E. D. G. (2012). Correlação linear e espacial entre produtividade de Brachiaria brizantha, densidade do solo e porosidade total em função do sistema de manejo do solo. Engenharia Agrícola, 32(5), 909–919. https://doi.org/10.1590/S0100-69162012000500010

Web of Science Core Collection. (2025). Clarivate Analytics. Available at https://www.webofscience.com

Yousif, I. A. H., Sayed, A. S. A., Abdelsamie, E. A., Ahmed, A. A. R. S., Saeed, M., Mohamed, E. S., Rebouh, N. Y., & Shokr, M. S. (2024). Efficiency of geostatistical approach for mapping and modeling soil site-specific management zones for sustainable agriculture management in drylands. Agronomy, 14(11), 2681. https://doi.org/10.3390/agronomy14112681

Zhang, B., Jia, Y., Fan, H., Guo, C., Fu, J., Li, S., Li, M., Liu, B., & Ma, R. (2024). Soil compaction due to agricultural machinery impact: A systematic review. Land Degradation & Development, 35(10), 3256–3273. https://doi.org/10.1002/ldr.5144

Zihad, M. N., Khan, R., Hasan, A. H., Siddique, M. A. B., Bodrud-Doza, M., & Islam, A. R. M. T. (2023). Natural and anthropogenic contributions to the elemental compositions and subsequent ecological consequences of a transboundary river's sediments. Environmental Research, 234(1): 116509. https://doi.org/10.1016/j.envres.2023.116509

Published

2026-07-01

How to Cite

Silva, P. L. F. da, Coppo, M. A. R., Batista, A. M. A., & Santos, J. W. de S. dos. (2026). USE OF GEOSTATISTICS IN THE ASSESSMENT OF SOIL QUALITY: STATE OF THE ART. Revista Univap, 32(74). https://doi.org/10.18066/revistaunivap.v32i74.4730

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Section

Ciências Sociais Aplicadas

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