Romania�s physical-geographical and lithological complexity creates a great diversity of climatic and pedological conditions, which determines the richness of the types of ecosystems and habitats, as well as the presence of five biogeographical regions, including the Alpine bioregion. In Romania this biogeographical region includes both Carpathians peaks and coniferous and mixed forests of the Carpathians, but also the intermountain depressions and higher hills along the mountain chain. Various mountains are home to endemic and relic species, virgin and quasi-virgin natural forests, virtually extinct from the rest of the European Union with a special biological diversity. The purpose of this paper is to present a study on the number and distribution of protected natural areas, their area and share in the Alpine biogeographical region of Romania in relation to the entire EU bioregion. The Digital Elevation with spatial resolution model at 25 m and geospatial data were used to develop this study. In Romania, the Alpine bioregion occupies an area of 5.005.266.03 ha, of which 3.726.354.88 ha, respectively 74,42% is included in different categories of protected natural areas: SPA�s = 1.133.419,10 ha; SCI�s = 1.760.940,84 ha; wetland of international importance = 695,93 ha; scientific reservations = 5,77 ha; natural reservations = 137.503,29 ha; biosphere reservations = 85.518,26 ha; national parks = 202.741,98 ha; natural parks = 405.520,97 ha; natural monuments = 8,73 ha. Due to a partial or total overlap of the protected areas, the range of protected areas in the territory (soil footprint) is 2.147.431.78 ha.
Almonds can be infected by mycotoxigenic fungi both during the vegetation and during storage after harvesting. Most of the times the almonds are healthy, but during the improper storage they can be contaminated by fungi from the genus Aspergillus, Fusarium and Penicillium. The mentioned fungi are very dangerous for health because they are producing carcinogenic mycotoxins. The purpose of the work was to identify the fungi that are growing on the marketed almonds when they are placed on culture media after a previous sterilization. The biological material consisted in raw almonds bought from supermarket. The almonds were chosen in such manner to originate from different countries, respectively USA, Italy, Spain, South Africa and Germany, there being obtained six samples with three replicates. The almonds from all the 18 samples were placed on culture media in Petri plates and were introduced in incubator at a temperature of 25 oC for 7 days. On the almonds from the culture media were developed after seven days the following fungi: Fusarium sp., Aspergillus flavus, Penicillium sp., Aspergillus niger and Rhizopus sp. High contamination rate was noticed in the case of the fungus A. niger. There was highlighted the variant originating from USA with 93.18%. In the opposite situation is the variant of bio almonds from Spain contaminated in a 14% rate. The samples from Germany and Spain were massively contaminated, respectively between 72 and 83%. Regarding Aspergillus flavus fungus, the lowest contamination rate was registered in the variant from USA (18%) and the highest in the sample from Spain conventionally cultivated (79%). The variants of bio almonds were contaminated in different rates, respectively 30% (Italia) and 66% (Spain).
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The study analyzed forest vegetation in the "Bazos Dendrological Park" area, Timis County, Romania, in order to describe the seasonal variation of the vegetation through imaging analysis based on satellite images (Sentinel 2). The study took place in the period 2021-2022, and each year 7 sets of images (T1 - T7) were taken between the months of April and August. NDMI, NDVI and NBR indices were calculated from the analysis of satellite images. Among the calculated indices, very strong correlations were found between NBR and NDMI (r=-0.928, year 2021), between NBR and NDVI (r=0.947, year 2021; r=0.928, year 2022). Moderate correlations were found between NDVI and NDMI (r=-0.769, year 2021), and weak correlations were found between NDMI and t (r=-0.655, year 2021), between NDVI and NDMI (r=0.617, year 2022). Other weak intensity correlations were also recorded. The variation of the NDVI indices in relation to NDMI and the NBR index in relation to NDMI or to NDVI was described by polynomial equations of 2nd degree, under statistical safety conditions (p les than 0.001, R2>0.9 for the year 2021; p=0.007, R2 >0.9 in the case of NDVI vs NDMI; p=0.014, R2=0.877 in the case of NBR vs NDVI, respectively p less than 0.001, R2 bigger than 0.9 in the case of NBR vs NDMI for the year 2022). In relation to the time interval (t, days), spline models faithfully described the variation of the calculated indices during the study period, under statistical safety conditions ( ? = .0 0061 in the case of NDMI vs t, ? = 0017.0 in the case of NDVI vs t, ? = 0067.0 in the case of NBR vs t, under the conditions of 2021; ? = 0317.0 in the case of NDMI vs t, ? = 0024.0 in the case of NDVI vs t, ? = 0077.0 in the case of NDMI vs t, under the conditions of 2022).
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