141. Assessing climate-growth relationships with daily and monthly observational and gridded meteorological dataNina Škrk Dolar, Katarina Čufar, Jernej Jevšenak, 2024, original scientific article Abstract: We compared climate-growth relationships by correlating tree-ring variation with daily and monthly meteorological data obtained from the stations of the Slovenian Environment Agency (ARSO) and modelled data from the SLOCLIM database. Tree-ring width series for analyses were obtained from previously collected European beech (Fagus sylvatica) tree-ring data from 30 sites all over Slovenia. Climate-growth correlations were calculated to evaluate whether daily meteorological data exhibits stronger correlations than monthly data. We also compared the maximum correlation coefficients using meteorological station data and gridded SLOCLIM data. The analysis was conducted using the dendroTools R package, incorporating data on daily and monthly average air temperatures and precipitation sums from the period 1960–2018. Our findings revealed significantly higher maximum correlation coefficients for daily data compared to monthly data, underscoring the importance of using daily data, particularly for precipitation. However, no significant difference was observed between maximum correlation coefficients using the meteorological station and modelled data, and the difference did not change significantly with increasing altitude.
Keywords: observational data, gridded data, tree rings, correlation analysis, dendroclimatology
Published in DiRROS: 10.12.2024; Views: 77; Downloads: 37
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142. Soil water repellency of two disturbed soils contaminated with different agricultural microplastics tested under controlled laboratory conditionsŠpela Železnikar, Damjana Drobne, Matej Hočevar, Matic Noč, Marina Pintar, 2025, original scientific article Abstract: Soil water repellency (SWR) significantly affects plant growth, along with surface and subsurface hydrology, posing a challenge for agricultural productivity and environmental sustainability. Nowadays, the occurrence of microplastics (MP) in the environment, particularly from agricultural practices, raises concerns about MP impact on soil properties. Among them, SWR is affected by hydrophobicity of MP particles detected in soils. This study introduces a method and presents results of a screening test to assess the effects of MP on SWR, utilizing Water Drop Penetration Time (WDPT) analysis under controlled laboratory conditions in destructed soil samples. We compared SWR of two soil types differing in portion of sand, loam and clay. Soils were mixed with three different types of MP originating from agricultural mulch films: low-density polyethylene (LDPE), biodegradable poly butylene adipate terephthalate (PBAT), and starch-based biodegradable plastics (Starch). The MP were milled to a uniform size range of some 10 to 300 μm and mixed with the soil samples. WDPT measurements were taken immediately after mixing and recorded for up to 60 s in order to find MP concentration levels at which strongly or more severely water repellency is inducted on soil samples. Our findings reveal that both, soil type and MP type significantly influence SWR, where there are notable differences observed between bio-based (Starch based) and non-bio-based (LDPE and PBAT) plastics’ effects on SWR in the two tested soil types. Data highlights the distinct behaviour of Starch in altering soil hydrophobicity, prominently different from the impact of both PBAT and LDPE. The measurement technique we have developed for quantifying SWR levels could be used for both research applications and the dissemination of findings. It can significantly enhance decision-making processes regarding the selection of optimal plastic alternatives for agricultural use.
Keywords: environmental pollution, microplastic, water drop penetration time, laboratory test
Published in DiRROS: 10.12.2024; Views: 82; Downloads: 37
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143. Human genomic DNA is widely interspersed with i-motif structuresCristian David Peña Martinez, Mahdi Zeraati, Romain Rouet, Ohan Mazigi, Jake Y. Henry, Brian Gloss, Jessica A. Kretzmann, Cameron W. Evans, Maja Marušič, Janez Plavec, 2024, original scientific article Published in DiRROS: 09.12.2024; Views: 99; Downloads: 50
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146. Lignocellulosic biomass valorisation : a review of feedstocks, processes and potential value chains and their implications for the decision-making processBritt Segers, Philippe Nimmegeers, Marc Spiller, Giorgio Tofani, Edita Jasiukaityte, Elina Dace, Timo Kikas, Jorge M. Marchetti, Milena Rajić, Güray Yildiz, Pieter Billen, 2024, review article Published in DiRROS: 09.12.2024; Views: 79; Downloads: 39
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