Effects of increasing concentrations of fungicide QuadrisR on bacterial functional profiling in loamy sand soil.

A mesocosm experiment was conducted to assess the side effects of the fungicide QuadrisR on soil bacterial functioning. QuadrisR was applied to a loamy sand soil at increasing concentrations (0.0-35.0 mg kg-1 dry soil) calculated according to its active ingredient azoxystrobin (Az). Soil sampling was carried out from the 1st to the 120th day of soil incubation to determine the changes occurred in bacterial catabolism using the technique of community-level physiological profiling (CLPP) via Biolog EcoPlates™. It was found that the field recommended fungicide concentration (2.90 mg kg-1 dry soil) altered mostly the low-available Biolog carbon sources (< 0.50 optical density (OD)), whereas the fungicide higher concentrations (14.65 and 35.00 mg kg-1 dry soil) were effective also on medium (0.50-1.00 OD) and highly (> 1.00 OD) utilizable ones. Pearson correlation analysis revealed that the main environmental factors correlated with the utilization rates of Biolog carbon sources (CSs) were soil nutrients and pH. No linear relationships were found between Az soil residues and the use of CSs. We concluded that QuadrisR affects bacterial catabolic profiles in loamy sand soils through soil acidification and altering soil nutrient pool. The study also revealed that CLPP and EcoPlate™ are useful practical tools for testing the fungicide ecotoxicity.

Quantitative Analysis of Different Environmental Factor Impacts on Land Cover in Nisos Elafonisos, Crete, Greece.

Land Cover monitoring is an essential task for a better understanding of the ecosystem's dynamicity and complexity. The availability of Remote Sensing data improved the Land Use Land Cover mapping as it is routine work in ecosystem management. The complexity of the Mediterranean ecosystems involves a complexity of the surrounding environmental factors. An attempt to quantitatively investigate the interdependencies between land covers and affected environmental factors was conducted in Nisos Elafonisos to represent diverse and fragile coastal Mediterranean ecosystems. Sentinel-2 (MSI) sensor and ASTER Digital Elevation Model (DEM) data were used to classify the LULC as well as to draw different vegetation conditions over the designated study area. DEM derivatives were conducted and incorporated. The developed methodology is intended to assess the land use land cover for different practices under the present environmental condition of Nisos Elafonisos. Supervised classification resulted in six different land cover clusters and was tested against three different environmental clusters. The findings of the current research pointed out that the environmental variables are independent and there is a vertical distribution of the vegetation according to altitude.

Conceptual assessment of energy input-output analysis and data envelopment analysis of greenhouse crops in Crete Island, Greece.

The current study observes the input/output energy quantities and its associated financial value, in vegetable greenhouses on Crete, Greece, for the 2015-2016 cropping seasons. The utilized data was taken in regular direct basis for the implementation of energy input-output analysis and data envelopment analysis. For input data analysis, four crop practices were used tomato, pepper, cucumber, and eggplant. The outcomes of the expended majority of energy input-output analysis showed that fertilizers count for 53%, fossil fuel counts for 16%, and electricity counts for 12%. The mean crop and energy consumption for each crop practice were estimated as 94,036 MJ/ha and 171,950 kg/ha, 115,473 MJ/ha and 173,000 kg/ha, 81,196 MJ/ha and 128,893 kg/ha, and 146,067 MJ/ha and 209,501 kg/ha, respectively. Inputs with the biggest shares in total inputs were manpower counts for 30%, fertilizers count for 22%, and crop protection counts for 16%. DEA method showed that the mean values of technical efficiency, pure technical efficiency, and scale efficiency were 0.90193, 0.97272, and 0.80322, respectively. The mean scale efficiencies were set as 0.80. The findings of this research would be valuable to the inefficient producers undertaking into consideration the recommendations made by this method, where the overall input in Euro could be meaningfully condensed without any reduction on the current overall output.

Effects of long-term radionuclide and heavy metal contamination on the activity of microbial communities, inhabiting uranium mining impacted soils.

Ore mining and processing have greatly altered ecosystems, often limiting their capacity to provide ecosystem services critical to our survival. The soil environments of two abandoned uranium mines were chosen to analyze the effects of long-term uranium and heavy metal contamination on soil microbial communities using dehydrogenase and phosphatase activities as indicators of metal stress. The levels of soil contamination were low, ranging from 'precaution' to 'moderate', calculated as Nemerow index. Multivariate analyses of enzyme activities revealed the following: (i) spatial pattern of microbial endpoints where the more contaminated soils had higher dehydrogenase and phosphatase activities, (ii) biological grouping of soils depended on both the level of soil contamination and management practice, (iii) significant correlations between both dehydrogenase and alkaline phosphatase activities and soil organic matter and metals (Cd, Co, Cr, and Zn, but not U), and (iv) multiple relationships between the alkaline than the acid phosphatase and the environmental factors. The results showed an evidence of microbial tolerance and adaptation to the soil contamination established during the long-term metal exposure and the key role of soil organic matter in maintaining high microbial enzyme activities and mitigating the metal toxicity. Additionally, the results suggested that the soil microbial communities are able to reduce the metal stress by intensive phosphatase synthesis, benefiting a passive environmental remediation and provision of vital ecosystem services.

Community level physiological profiles of bacterial communities inhabiting uranium mining impacted sites.

Bacterial activity and physiological diversity were characterized in mining and milling impacted soils collected from three abandoned uranium mine sites, Senokos, Buhovo and Sliven, using bacterial dehydrogenase activity and Biolog (EcoPlate) tests. The elemental composition of soils revealed high levels of uranium and heavy metals (sum of technogenic coefficients of contamination; TCC(sum) pollution as follows: Sliven (uranium - 374 mg/kg; TCC(sum) - 23.40) >Buhovo (uranium - 139.20mg/kg; TCC(sum) - 3.93) >Senokos (uranium - 23.01 mg/kg; TCC(sum) - 0.86). The physiological profiles of the bacterial community level were site specific, and indicated intensive utilization of polyols, carbohydrates and carboxylic acids in low and medium polluted environments, and i-erithrytol and 2-hydroxy-benzoic acid in the highly polluted environment of Sliven waste pile. Enzymes which take part in the biodegradation of recalcitrant substances were more resistant to pollution than these from the pathways of the easily degradable carbon sources. The Shannon index indicated that the physiological diversity of bacteria was site specific but not in line with the levels of pollution. A general tendency of increasing the importance of the number of utilizable substrates to bacterial physiological diversity was observed at less polluted sites, whereas in highly polluted sites the evenness of substrate utilization rate was more significant. Dehydrogenase activity was highest in Senokos upper soil layer and positively correlated (p<0.01) with the soil organic matter content. The bacterial activity (EcoPlate) and physiological diversity (Shannon index) correlated significantly and negatively with As, Cu, Zn, Pb and U, and Co, Cr, Ni and Mn, respectively. We concluded that the observed site specific shifts in bacterial communities were complex due to both the environmental peculiarities and the bacterial tolerance to the relevant level of pollution, rather than a strong indication of uranium and heavy metals toxicity.