Endosulfan acute toxicity and histomorphological alterations in Jenynsia multidentata (Anablepidae,Cyprinodontiformes)

Toxicity tests using adult specimens of Jenynsia multidentata were carried out during 96 hours in order to determine the lethal concentration (LC50) of endosulfan. Histological alterations were determined in gills and liver. Gill damage was quantified as secondary lamellae thickness. The 96 hr LC50 values were significantly different between males (0.719 μ g.L^{? 1}) and females (1.317 μg.L^{? 1}). The sex difference was attributed to the dimorphism in the lipid content in females (2.16%) and males (1.79%). Histological alterations in gills included hypertrophy and lifting of the epithelium of the secondary lamellae and aneurisms. These alterations caused a significant increase of the secondary lamellae thickness in treatment versus control fish. Finally, reversible histological alterations (such as hydropic degeneration and dilation of sinusoids) were observed in the liver of exposed fish as well as an irreversible change such as necrosis at the highest concentrations.     

Modification of light utilization for skeletal growth by water flow in the scleractinian coral <Emphasis Type="Italic">Galaxea fascicularis</Emphasis>

In this study, we tested the hypothesis that the importance of water flow for skeletal growth (rate) becomes higher with increasing irradiance levels (i.e. a synergistic effect) and that such effect is mediated by a water flow modulated effect on net photosynthesis. Four series of nine nubbins of G. fascicularis were grown at either high (600 μE m⁻² s⁻¹) or intermediate (300 μE m⁻² s⁻¹) irradiance in combination with either high (15–25 cm s⁻¹) or low (5–10 cm s⁻¹) flow. Growth was measured as buoyant weight and surface area. Photosynthetic rates were measured at each coral’s specific experimental irradiance and flow speed. Additionally, the instantaneous effect of water flow on net photosynthetic rate was determined in short-term incubations in a respirometric flowcell. A significant interaction was found between irradiance and water flow for the increase in buoyant weight, the increase in surface area, and specific skeletal growth rate, indicating that flow velocity becomes more important for coral growth with increasing irradiance levels. Enhancement of coral growth with increasing water flow can be explained by increased net photosynthetic rates. Additionally, the need for costly photo-protective mechanisms at low flow regimes could explain the differences in growth with flow.     

On-site simultaneous determination of anions and cations in drainage water using a flow injection-capillary electrophoresis system with contactless conductivity detection

Drainage water diverted from a farm pasture, which was heavily loaded with manure, was monitored during a rain event. Concurrent anion and cation determinations at intervals of 10 min could be achieved with a new capillary electrophoresis system employing dual injection at opposite ends of the separation capillary. The flow injection approach enabled automation of the sampling process. Interruption of the separation voltage was not necessary. Contactless conductivity detection with an electrolyte solution optimized for the purpose allowed the facile simultaneous detection of the inorganic ions Cl(-), NO(3)(-), SO(4)(2-), HPO(4)(2-), NO(2)(-), NH(4)(+), K(+), Ca(2+), Na(+) and Mg(2+) and the acquisition of temporal concentration profiles of these species. The detection limits achieved were between 20 and 200 [micro sign]g l(-1) for all ions and the repeatability of peak areas and peak heights was better than 1%. The quantitative results were verified by analysing individual samples later in the laboratory with photometry and ion chromatography and the average deviations were found to be between 4 and 12%. This contribution presents a further step in the development of capillary electrophoresis towards a fully automated, low maintenance field method.     

A fuzzy expert system for soil characterization

As soil is a natural resource not always renewable, the risk characterization of contaminated soils is an issue of great interest. Artificial Intelligence (AI), based on Decision Support Systems (DSSs), has been developed for a wide range of applications in contaminated soil management. Decision trees have already shown to be easy to interpret and able to treat large scale applications. Fuzzy logic gives an improvement in the perturbations and the variance of the training data, due to the elasticity of fuzzy set formalism. In this study, we have developed a classificatory tool applied to characterize contaminated soil in function of human and environmental risks. Knowledge engineering for constructing the Soil Risk Characterization Decision Support System (SRC-DSS) involves three stages: knowledge acquisition, conceptual design and system implementation. A total of 26 parameters were divided into three groups to facilitate the configuration of the expert system: source attributes, transfer vector attributes, and local properties. Sixteen case studies were evaluated with the SRC-DSS. In comparison with other techniques, the results of the current study have shown that SRC-DDS is an excellent tool to classify and characterize soils according to the associated risk.     

Methylalkylpyrazines in aposematic insects,their hostplants and mimics

Summary Adults of forty-five aposematic insect species from four orders, and/or, in eight cases, their early stages, were examined for the presence of 2-methoxy-3-alkylpyrazines by coupled gas chromatography/mass spectrometry. The survey also included eight cryptic and related species and six unrelated mimics, twelve selected hostplants of those herbivores that had proved positive for such pyrazines, and nine well known toxic plants. Positive results were as follows: aposematic adult species, 26 (58 %); obscurely coloured species, 1 (12.5%); mimics, 2 (33%); host-plants, 5 (42%); well-known toxic plants, 4 (44%). Among the taxonomic groups, these pyrazines were found in the lepidopteran families and subfamilies Papilionidae, Danainae, Heliconiinae, Acraeinae, Zygaenidae and Arctiidae, and among the Coleoptera, in the Lycidae, Cantharidae, Endomychidae, Coccinellidae, Oedemeridae and Meloidae. Single cases of the occurrence of these pyrazines were also detected in the Hemiptera (Cercopidae) and Orthoptera (Pyrgomorphidae). Mimics were found with and without the pyrazines. Among the plants they were detected in Aristolochiaceae, Asclepiadaceae, Asteraceae, Papaveraceae, Passifloraceae, Solanaceae and Urticaceae. Some aposematic and phytophagous insects apparently sequester pyrazines from their hostplants whereas others, particularly the predatory species, manufacture these substancesde novo. Alerting signals in general are discussed.     

Carbon emissions and management scenarios for consumer-owned utilities

An important subset of the utility sector has been scarcely explored for its ability to reduce carbon dioxide emissions: consumer-owned electric utilities significantly contribute to U.S. greenhouse gas emissions, but are often excluded from energy efficiency and renewable energy policies. They sell a quarter of the nation's electricity, yet the carbon impact of these sales is not well understood, due to their small size, unique ownership models, and high percentage of purchased power for distribution. This paper situates consumer-owned utilities in the context of emerging U.S. climate policy, quantifying for the first time the state-by-state carbon impact of electricity sales by consumer-owned utilities. We estimate that total retail sales by consumer-owned utilities account for roughly 568 million metric tons of CO₂ annually, making this sector the 7th largest CO₂ emitter globally, and examine state-level carbon intensities of the sector in light of the current policy environment and the share of COU distribution in the states. Based on efficiency and fuel mix pathways under conceivable regulations, carbon scenarios for 2030 are developed.     

Congo red dye diversely affects organisms of different trophic levels: a comparative study with microalgae,cladocerans, and zebrafish embryos

Environmental Science and Pollution Research - Global consumption of synthetic dyes is roughly 7?×?105 tons per year, of which the textile industry expends about two-thirds....     

Quantification of present and past biomass productivity as a support to effective biomass management

We used statistical data including specific calculations to show how the productivity of different biomass categories varies with land use, environmental conditions and land management at national and local level in Slovakia. Three different study sites were selected. Averaged annual productivity of the total biomass from one hectare ranged from 5.96 to 12.03 t on arable land, from 4.02 to 15.20 t on grasslands and from 11.72 to 13.56 t on forest land. Although the biomass productivity varied among the various biomass categories and the study sites, the average annual values of the total biomass per hectare from productive land was about the same at all three study sites (11.62, 11.68, 11.78 t/ha). Detailed quantification of different biomass categories offered a variety of possibilities to use them for further applications in economy and ecosystem services. At the national level, the unused biomass could have produced 29.8 PJ (petajoule) of heat energy.     

“Loyals” and “Optimizers”: Shedding Light on the Decision for or Against Organic Agriculture Among Swiss Farmers

The choice between organic and conventional agriculture for farmers is modeled as an ethical decision. Farmers are either loyal to one of the systems or they optimize between systems. This model is empirically validated through a survey among Swiss farmers. A cluster analysis separates farmers into loyal organic, loyal conventional, and optimizing farmers. However, the three resulting clusters bore some, but not all the necessary characteristics of “optimizers” and “loyals.” A probit analysis shows that loyal farmers have larger farms than optimizers. Loyal organic farmers receive less direct payments than optimizers, which confirms the utility-maximizing pattern of the latter group.