Please use this identifier to cite or link to this item: https://physrep.ff.bg.ac.rs/handle/123456789/1237
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dc.contributor.authorMihailović, D Ten
dc.contributor.authorDrešković, Nen
dc.contributor.authorArsenić, Ien
dc.contributor.authorĆirić, Ven
dc.contributor.authorĐurđević, Vladimiren
dc.contributor.authorMimić, Gen
dc.contributor.authorPap, Ien
dc.contributor.authorBalaž, Ien
dc.date.accessioned2022-07-12T18:49:00Z-
dc.date.available2022-07-12T18:49:00Z-
dc.date.issued2016-11-15en
dc.identifier.issn0048-9697en
dc.identifier.urihttps://physrep.ff.bg.ac.rs/handle/123456789/1237-
dc.description.abstractWe considered temporal and spatial variations to the thermal and moisture regimes of the most common RSGs (Reference Soil Groups) in Serbia under the A1B scenario for the 2021-2050 and 2071-2100 periods, with respect to the 1961-1990 period. We utilized dynamically downscaled global climate simulations from the ECHAM5 model using the coupled regional climate model EBU-POM (Eta Belgrade University-Princeton Ocean Model). We analysed the soil temperature and moisture time series using simple statistics and a Kolmogorov complexity (KC) analysis. The corresponding metrics were calculated for 150 sites. In the future, warmer and drier regimes can be expected for all RSGs in Serbia. The calculated soil temperature and moisture variations include increases in the mean annual soil temperature (up to 3.8°C) and decreases in the mean annual soil moisture (up to 11.3%). Based on the KC values, the soils in Serbia are classified with respect to climate change impacts as (1) less sensitive (Vertisols, Umbrisols and Dystric Cambisols) or (2) more sensitive (Chernozems, Eutric Cambisols and Planosols).en
dc.language.isoenen
dc.relation.ispartofThe Science of the total environmenten
dc.subjectA1B scenarioen
dc.subjectClimate changeen
dc.subjectComplexity analysisen
dc.subjectSerbiaen
dc.subjectSoil temperature and moisture trendsen
dc.titleImpact of climate change on soil thermal and moisture regimes in Serbia: An analysis with data from regional climate simulations under SRES-A1Ben
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.scitotenv.2016.06.142en
dc.identifier.pmid27473773en
dc.identifier.scopus2-s2.0-84989863003en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84989863003en
dc.relation.volume571en
dc.relation.firstpage398-409en
dc.relation.lastpage409en
item.languageiso639-1en-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
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