Koncept novega razlagalnega slovarja slovenskega knjižnega jezika

Koncept novega razlagalnega slovarja slovenskega knjižnega jezika opredeljuje vsebino in zgradbo sodobnega enojezičnega informativno-normativnega slovarja, ki nastaja na Inštitutu za slovenski jezik Frana Ramovša ZRC SAZU. Koncept v prvem poglavju pojasni osnovne lastnosti slovarja, njegov obseg in namen, v drugem poglavju je podrobno razčlenjena sestava slovarskega sestavka, tretje poglavje pa oriše proces redaktorskega dela. Slovar bo vseboval približno 100.000 slovarskih sestavkov, v katerih bodo opisane slovnične, pomenske in druge lastnosti eno- in večbesednih leksikalnih enot sodobne knjižne slovenščine. Vsakoletni slovarski prirastek bo objavljen na portalu Fran: slovarji Inštituta za slovenski jezik Frana Ramovša ZRC SAZU.Vsebina koncepta je plod večletnega leksikološkega in leksikografskega dela sodelavcev Inštituta za slovenski jezik Frana Ramovša ZRC SAZU, posvetovanj s člani uredniškega odbora in prizadevanj za soglasje širše javnosti o podobi novega slovarja. Koncept so sprejeli in potrdili Znanstveni svet Inštituta za slovenski jezik Frana Ramovša ZRC SAZU, Znanstveni svet ZRC SAZU, Razred za filološke in literarne vede SAZU in Izvršilni odbor Predsedstva SAZU

Sociolingvistični posvet: aktualni sociolingvistični izzivi in prednostne raziskovalne tematike

Zapis posveta o aktualnih sociolingvističnih izzivih in prednostnih raziskovalnih tematikah, ki sta ga organizirala doc. dr. Maja Bitenc in red. prof. dr. Marko Stabej z Oddelka za slovenistiko in je potekal v ponedeljek, 27. 9. 2021, na Filozofski fakulteti Univerze v Ljubljani in s prenosom preko Zooma. V prvem delu so vabljene strokovnjakinje in strokovnjaki predstavili svoje poglede ob izhodiščnih vprašanjih, v drugem je sledila razprava vseh sodelujočih. Zapis posnetka so govornice in govorniki uredili po lastni presoji, načeloma s čim manj intervencijami, iz razprave pa so za branje prilagojene in objavljene vsebinsko tehtnejše replike

Izbrisani slovarski sestavki iz druge, dopolnjene in deloma prenovljene izdaje Slovarja slovenskega knjižnega jezika

Iz druge, dopolnjene in deloma prenovljene izdaje Slovarja slovenskega knjižnega jezika smo morali zaradi zahteve imetnikov blagovnih znamk Cockta, Superga, Teflon in Tetra Pak po drugačni slovarski obravnavi umakniti slovarske sestavke, ki prikazujejo iz navedenih blagovnih znamk izpeljane občnoimenske besede

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Rainstorms as a landslide-triggering factor in Slovenia

Rainfall plays an important role in the landslide triggering processes. Analyses of landslide occurrence in the area of Slovenia have shown that areas where intensive rainstorms occure (maximal daily rainfall for the 100 years period), and where the geologicalsettings are favourable, abundance of landslide can be expected. This clearly indicates the spatial and temporal dependence of landslide occurrence upon the intensive rainfall. Regarding the landslide occurrence, the intensity of maximal daily and average annual rainfall for the the 30 years period were analysed. Results have shown that daily rainfall intensity, which significantly influences the triggering of landslides, ranges from 100 to 150 mm, most probably above 130 mm. Despite the vague influence, if any at all,of the average annual rainfall, the threshold above which significant number of landslides occurs is 1000 mm

Probabilistic model of slope mass movement susceptibility – a case study of Bovec municipality, Slovenia

A probabilistic model of slope mass movement susceptibility for the Bovec municipality in north-western Slovenia was developed based on the expert geohazard map at scale 1: 25.000 and several other relevant influence factors. For analytical purposes 10816 modelswere developed, 3142 for landslide susceptibility and 7674 for rockfall susceptibility. In both cases geology / lithology and slope angle showed to be the most important influence factors. Regarding landslides, additional important factors were land use and synchronismof strata bedding and slope aspect, and in the case of rockfalls additional important factor was synchronism of strata bedding and slope aspect

Influence of the spatial factors on the landslide occurence (cross-tabulation statistics)

More and more detailed spatial data enable the scientists more precise and detailed spatial analysis’ and with that the natural hazard risk assessment. The purpose of the paper was to determine the applicability of the geologic, topologic, climatic and hydrologicdata with the mentioned topic. For this purpose, the area of the central Slovenia was chosen, where 614 landslides were mapped. The influence of the spatial factors on the landslides was determined. The results showed that the most influential factor was lithology,followed by slope inclination, terrain curvature, distance from structural elements,distance from surface waters, aspect, and elevation. The critical angle of landslide occurence was determined at 9°