Kolmogorovʼ entropy to investigate variation of forest soil properties in the Czech Republic

dc.contributor.authorSamec, Pavel
dc.date.accessioned2022-05-26T00:02:14Z
dc.date.available2022-05-26T00:02:14Z
dc.date.issued2022
dc.date.updated2022-05-26T00:02:14Z
dc.description.abstractA measure of variation in values of physico-chemical properties of different soil groups is influenced by deterministic uncertainty. In this study, we assessed variation level of soil horizon properties in the most wide-spread forest soil groups on territory of the Czech Republic in the period 1953-2010. The assessment of variation was based on the selection of potentially correlating grain-size and chemical properties and a regression analysis (p < 0.05) between normal values (1981-2010) and Kolmogorov (K-) entropy of the forest soil quantities. Cambisols (73%), Stagnosols (10%) and Leptosols (4%) were the most frequently sampled soil groups in the database of 15,287 pits from the state pilot forest surveys during the normal period. The K-entropies of clay, Ntot, CaO and MgO indicated the mean contents in the soil groups more significantly than the entropies of loam, pH and Al2O3. The low variable clay content differentiated the series of Cambisols-Podzols (CM-PZ) from other soil groups. On the contrary, the higher stable clay content differentiated the Luvisols-Retisols-Stagnosols (LV-RT-ST) series. The low stable clay content and the higher Ntot and CaO contents were characteristic of Fluvisols and Gleysols. The CM-PZ series varied from LV-RT-ST by more variable contents of finer grain particles, Ntot and CaO. Relationships between soil properties means and K-entropies suggest different development series.en
dc.description.versionOA
dc.formate00455
dc.identifier.issn2352-0094
dc.identifier.orcidSamec, Pavel 0000-0002-8152-1603
dc.identifier.urihttps://repozitar.mendelu.cz/xmlui/handle/20.500.12698/1585
dc.project.ID952314
dc.project.IDAdaption strategies in forestry under global climate change impact (ASFORCLIC)
dc.publicationstatuspreprint
dc.publisherElsevier Science BV
dc.relationEC/H2020/952314/Adaption strategies in forestry under global climate change impact/ASFORCLIC
dc.relation.ispartofGeoderma Regional
dc.relation.urihttps://doi.org/10.1016/j.geodrs.2021.e00455
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTime series analysisen
dc.subjectDeterministic uncertaintyen
dc.subjectSoil developmenten
dc.subjectCambisolsen
dc.subjectStagnosolsen
dc.titleKolmogorovʼ entropy to investigate variation of forest soil properties in the Czech Republicen
dc.typeJ_ČLÁNEK
local.contributor.affiliationLDF
local.horizonH_2020
local.identifier.doi10.1016/j.geodrs.2021.e00455
local.identifier.e-issn2352-0094
local.identifier.obd43922107
local.identifier.scopus2-s2.0-85121336791
local.numberMarch
local.volume28

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