Keywords
semivariogram
kriging
soil spatial variability
grassland
kriging
soil spatial variability
grassland
How to Cite
Saquicela Rojas, R. A., Useche Castro, L., & Gonzalez Pedraza, A. F. (2022). Sampling the spatial variability of grassland soil properties. Minerva, 1(Special), 138-149. https://doi.org/10.47460/minerva.v1iSpecial.89
Abstract
The properties of grazed grassland soils are frequently degraded in tropical areas. The objective of this work was to review the literature on the theory and results of sampling and analysis of the spatial variability of grassland soil properties worldwide and in Ecuador. The methodology, results, and discussion of 15 articles were reviewed, available in the databases: Scopus, SciELO, ScienceDirect, Scimago Journal & Country Rank, Dialnet, and SpringerLink, and the respective theory of 5 books. It was found that worldwide there are soil sampling works that evaluate the spatial variability of their properties, while at the national level, the samples do not consider such variability. Therefore, it is crucial to conduct research in Ecuador on the spatial variability of soil properties with grasslands, allowing reliable decisions to be made for their management and conservation.
References
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[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.
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[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-y.
[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.
[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 earths 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-y.
[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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