Sampling the spatial variability of grassland soil properties
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Keywords

semivariogram
kriging
soil spatial variability
grassland

How to Cite

Rodrigo Alberto, S. R., Useche Castro, L., & Gonzalez Pedraza, A. F. (2023). Sampling the spatial variability of grassland soil properties. Minerva, 2023(Special), 74-86. https://doi.org/10.47460/minerva.v2023iSpecial.119

Abstract

The properties of grazed grassland soils are frequently degraded in tropical zones. This work aimed to review the literature on the theory and results of sampling and analysis of the spatial variability of pasture soil properties in the world and Ecuador. The methodology, results, and discussion of 15 articles on the subject, available in the following databases: Scopus, SciELO, ScienceDirect, Scimago Journal & Country Rank, Dialnet, and SpringerLink; and the respective theory of 5 books were reviewed. It was found that worldwide there are soil sampling works that evaluate the spatial variability of soil properties; at the national level, sampling does not consider this variability. It is essential to conduct research in Ecuador on the spatial variability of the properties of pasture soils, which will allow reliable decisions to be made for their management and conservation.

https://doi.org/10.47460/minerva.v2023iSpecial.119
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References

[1] D. Silva, M. Costa, B. Mantovanelli, L. Coutrim, M. Rodrigues, J. Cunha, “Variabilidade espacial da emissão de CO2, temperatura e umidade do solo em área de pastagem na região Amazônica, Brasil”, Revista de Ciências Agroveterinárias, vol. 18, no. 1, pp. 119-126, noviembre 2019, [En línea], http://revistas.udesc.br/index.php/agroveterinaria/article/view/10155/pdf
[2] M. Córdoba, P. Paccioretti, F. Giannini, C. Bruno, M. Balzarini. “Guía para el análisis de datos espaciales en agricultura”, 1ª ed., Serie Estadística Aplicada, Córdoba: Brujas, 2019, [En línea], https://ri.conicet.gov.ar/bitstream/handle/11336/128391/CONICET_Digital_Nro.ª5eab968-1409-4511-b6d6-07134144803b_A.pdf?sequence=2&isAllowed=y
[3] E. Tola, K. Gaadi, C. Biradar, R. Madugundu, A. Zeyada, A. Kayad, “Characterization of spatial variability of soil physicochemical properties and its impact on Rhodes grass productivity”, Saudi Journal of Biological Sciences, vol. 24, pp. 421-429, abril 2017, [En línea], https://doi.org/10.1016/j.sjbs.2016.04.013.
[4] A. Lima, M. Campos, J. Cunha, L. Silva, F. Oliveira, B. Mantovanelli, E. de Brito, R. Gomes, 2019, “Spatial variability and sampling density of chemical attributes in archaeological black earth under pasture in southern Amazonas, Brazil”, SOIL Discuss, junio 2019, [Preimpreso], [En línea], https://doi.org/10.5194/soil-2019-26.
[5] R. Petrucci, F. Herring, J. Madura, C. Bissonnette, “Química general”, Madrid: Pearson, 2011.
[6] C. Grego, C. Gonçalves, S. Nogueira, F. Andrade, A. de Oliveira, C. Ferrer, A. dos Santos, J. de Abreu, “Variabilidade espacial do solo e da biomassa epígea de pastagem, identificada por meio de geostatística”, Pesquisa agropecuaria brasileira, vol. 47, np. 9, pp. 1404-1412, septiembre 2012, [En línea], https://doi.org/10.1590/S0100-204X2012000900026
[7] A. Bernardi, K. Santos, G. Bettiol, L. Rabello, R. Ferreira, R. Inamasu, “Spatial variability of soil properties and yield of a grazed alfalfa pasture in Brazil”, Precision Agriculture, vol. 17, pp. 737-752, abril 2016, [En línea], https://doi.org/10.1007/s11119-016-9446-9.
[8] A. Delgado, J. Gómez, “The Soil. Physical, Chemical and Biological Properties”, en Principles of Agronomy for Sustainable, Springer, 2016. [En línea], https://link.springer.com/chapter/10.1007/978-3-319-46116-8_2.
[9] S. Barrezueta, K. Velepucha, L. Hurtado, E. Jaramillo, “Soil properties and storage of organic carbon in the land use pasture and forest”, Revista de Ciencias Agrícolas, vol. 36, no. 2, pp. 31-45, abril 2019, [En línea], https://doi.org/10.22267/rcia.193602.116
[10] J. Wu, J. He, G. Christakos, “Quantitative analysis and modeling of earth and environmental data. Space-time and spacetime data considerations”, India: Elsevier, 2022, [En línea], https://doi.org/10.1016/C2018-0-00055-9.
[11] M. Oliver, R. Webster, “Basic Steps in Geostatistics: The Variogram and Kriging”, Springer, 2015, [En línea], https://link.springer.com/book/10.1007/978-3-319-15865-5?error=cookies_not_supported&code=76d5fdcb-b77b-4658-a544-6bf0d847312f.
[12] G. Machado, J. Dafonte, J. Bueno, M. Valcacer, E. Farias. “Using Soil Apparent Electrical Conductivity to Optimize Sampling of Soil Penetration Resistance and to Improve the Estimations of Spatial Patterns of Soil Compaction”, The Scientific World Journal, pp. 1-12, diciembre 2014, [En línea], http://dx.doi.org/10.1155/2014/269480.
[13] A. González, J. Rey, J. Atencio,” Variabilidad espacial de los suelos de la unidad experimental la glorieta con fines agropecuarios”, Revista de la Facultad de Agronomía (LUZ), suplemento 1, pp. 539-553, junio 2014, [En linea], https://www.revfacagronluz.org.ve/PDF/suplemento_2014/ing/ingsupl12014539553.pdf.
[14] Novillo I.; Carrillo, M.; Cargua, J.; Moreira, V.; Albán, K.; Morales, K, “Propiedades físicas del suelo en diferentes sistemas agrícolas en la provincia de Los Ríos, Ecuador”. Temas Agrarios, vol. 23, no. 2, pp. 177 - 187, mayo 2018.
https://www.researchgate.net/publication/329046726_Propiedades_fisicas_del_suelo_en_diferentes_sistemas_agricolas_en_la_provincia_de_Los_Rios_Ecuador
[15] I. Rodríguez, H. Pérez, R. García, A. Quezada. “Efecto del manejo agrícola en propiedades físicas y químicas del suelo en diferentes agroecosistemas”, Universidad y Sociedad, vol. 12, no. 5, pp. 389-398, septiembre 2020, [En línea], http://scielo.sld.cu/pdf/rus/v12n5/2218-3620-rus-12-05-389.pdf
[16] C. Bravo, F. Goyes, Y. Arteaga, Y. Garcia, D. Changoluisa. “A soil quality index for seven productive landscapes in the Andean-Amazonian foothills of Ecuador”, Land Degradation & Development, vol. 32, pp. 2226-2241, enero 2021, [En línea], https://doi.org/10.1002/ldr.3897
[17] J. Serrano, S. Shahidian, J. Silva, “Spatial variability and temporal stability of apparent soil.
electrical conductivity in a Mediterranean pasture”, Precision Agriculture, vol. 18, pp. 245-263, julio 2017, [En línea], https://doi.org/10.1007/s11119-016-9460.
[18] D. Brus, J. de Gruijter, “Random sampling or geostatistical modeling? Choosing between design-based and model-based sampling strategies for soil (with discussion)”, Geoderma, vol. 80, pp. 1-44, octubre 1997, [En línea], https://doi.org/10.1016/S0016-7061(97)00072-4.
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