Multifractal and joint multifractal description of available nutrients concentrations extracted by two methods along short transects

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestal
dc.contributor.authorGarcía-Tomillo, Aitor
dc.contributor.authorda Silva Dias, Rosane
dc.contributor.authorVidal Vázquez, Eva
dc.contributor.authorVarela Vila, Irene
dc.contributor.authorValcárcel Armesto, Montserrat
dc.contributor.authorDafonte Dafonte, Jorge
dc.contributor.authorPaz-González, Antonio
dc.date.accessioned2025-01-13T07:43:34Z
dc.date.available2025-01-13T07:43:34Z
dc.date.issued2019-04-25
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in Archives of Agronomy and Soil Science on 25 Apr 2019, available at: https://doi.org/10.1080/03650340.2019.1608954
dc.description.abstractSpatial variability of available P, K, Ca and Mg, sampled along two short transects and determined by two different extraction methods, was characterized using multifractal and joint multifractal analysis. Sixty-six soil samples were collected every 0.8 m, both in a vineyard and in a polyculture field. Available nutrients were extracted with an ion exchange resin and the Mehlich 3 solution. Shape and width of singularity, f(α) versus α, and generalized dimension, Dq, spectra, showed that spatial distributions obtained by the two tests behaved as quasi-monofractals in the vineyard, but were fitted with multifractal models under polyculture. Joint multifractal analysis demonstrated positive correlations between the scaling indices of P, K, Ca and Mg, extracted by resin and Mehlich 3, which were stronger under polyculture. Pearson correlations between available nutrients determined by two tests at the single scale ranged from R2 = 0.54 to 0.95 and were weaker than those of the respective scaling indices across the range of scales studied, which varied from R2 = 0.63 to 0.97. The joint multifractal approach showed that single scale analysis may be insufficient to compare relationships between available nutrient tests. Moreover, multifractal analysis may be useful to upscaling/downscaling nutrient availability.
dc.description.peerreviewedSI
dc.identifier.citationGarcía-Tomillo, A., da Silva Dias, R., Vidal Vázquez, E., Varela Vila, I., Valcárcel Armesto, M., Dafonte-Dafonte, J., & Paz-González, A. (2020). Multifractal and joint multifractal description of available nutrients concentrations extracted by two methods along short transects. Archives of Agronomy and Soil Science, 66(2), 236-249. https://doi.org/10.1080/03650340.2019.1608954
dc.identifier.doi10.1080/03650340.2019.1608954
dc.identifier.issn1476-3567
dc.identifier.urihttps://hdl.handle.net/10347/38523
dc.issue.number2
dc.journal.titleArchives of Agronomy and Soil Science
dc.language.isoeng
dc.page.final249
dc.page.initial236
dc.publisherTaylor & Francis
dc.relation.publisherversionhttps://doi.org/10.1080/03650340.2019.1608954
dc.rights.accessRightsopen access
dc.subjectMacronutrients
dc.subjectSoil testing
dc.subjectSpatial variability
dc.subjectMultifractal analysis
dc.subject.classification2511 Ciencias del suelo (Edafología)
dc.subject.classification310313 Fertilidad del suelo
dc.titleMultifractal and joint multifractal description of available nutrients concentrations extracted by two methods along short transects
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number66
dspace.entity.typePublication
relation.isAuthorOfPublication33717a46-cba0-43b1-9af3-f87330326226
relation.isAuthorOfPublication823df3f2-2e7b-403b-827a-e504c718fc47
relation.isAuthorOfPublication.latestForDiscovery33717a46-cba0-43b1-9af3-f87330326226

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