Legacies,socio-economic and biophysical processes and drivers: the case of future forest cover expansion in the Polish Carpathians and Swiss Alps

Mountain forest areas are key for providing a wide range of ecosystem services and are hot spots for land use change processes, in particular, increase in forest cover at the expense of mountain pastures and meadows. Mountain forest systems in eastern and western Europe have likely similar future socio-economic situations but significantly different socio-economic history. Using a scenario-based land use modelling approach (Dyna-CLUE framework) we model three scenarios (trend, liberalisation and self-sufficiency) of future land use in the Polish Carpathians and the Swiss Alps, focussing on forest cover change. We find that forest cover increase can be expected to continue in European mountainous regions under all likely scenarios, limited only by relatively strict policy interventions. Biophysical factors, rather than socio-economic ones, are key for defining the suitability for, and therefore likely locations of future forest cover, but land use legacy plays a very important role in the spatial patterns of future forest cover, particularly in eastern Europe.

     

Environmental Bioindication Studies by Bayesian Network with Use of Grey Heron as Model Species

The article presents a procedure for assessing the quality of the environment, using eggshells of birds as a biomarker implemented into a Bayesian network. An environmental quality index (EQI) was proposed and calculated on the basis of local quality indicators. Experimental data on concentrations of toxic elements in grey heron (Ardea cinerea) eggshells (biomarker of river valleys) were used to determine the empirical variables (nodes) and the probability distributions on the set of these variables. A probabilistic graphical model represents a multitude of relationships between variables in a system that enables the prediction of EQI. The model presented is a useful tool for environmental quality management.     

The conceptual model of an eco-industrial park based upon ecological relationships

The necessity to follow the rules of sustainable development in the everyday industrial practice has led to the formulation of the concept of an industrial ecosystem mimicking the natural ecosystem. Following this analogy, the conceptual model of an eco-industrial park, which is an organised form of the industrial ecosystem, was presented in this paper. The model comprises of (1) the structure of the ecosystem, (2) the classification of the enterprises as producers, consumers and decomposers, (3) mass and energy flows and (4) types of interactions. The classification of the enterprises introduced here as well as the analysis of mass and energy flows indicates that the diversity of the enterprises in eco-industrial parks is desired. Furthermore, the minimal condition to create the symbiotic relationships between the enterprises is established, claiming that at least one industrial producer or decomposer must be involved in the eco-industrial park. The application of this model will facilitate the design and development of eco-industrial parks and enable the identification of symbiotic relationships between the entities of such a park and other types of industrial ecosystems. In order to show the applicability of the proposed model and its potential for the practical implementation two case studies are presented.     

Applying deep learning to right whale photo identification

Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time-consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the identification of endangered North Atlantic right whales (Eubalaena glacialis). The winning solution automatically identified individual whales with 87% accuracy with a series of convolutional neural networks to identify the region of interest on an image, rotate, crop, and create standardized photographs of uniform size and orientation and then identify the correct individual whale from these passport-like photographs. Recent advances in deep learning coupled with this fully automated workflow have yielded impressive results and have the potential to revolutionize traditional methods for the collection of data on the abundance and distribution of wild populations. Presenting these results to a broad audience should further bridge the gap between the data science and conservation science communities.     

Seasonal patterns of the bacterioplankton community composition in a lake threatened by a pesticide disposal site

Background aim and scope  

The objective of the study was to determine the effects of ca. 35 years of pesticide contamination (pesticide dump—PD) of Lake Szeląg Wielki (located in the north-eastern Poland) on changes in the microbial communities of aquatic ecosystems. In the years 2008–2009, analyses were carried out for seasonal changes in the quantity and composition of bacterioplankton in the lake examined, which is of high significance to the tourism and fishing industries and is located in the vicinity of an area subjected to reclamation after a pesticide dump.     

Influence of H2SO4 and ferric iron on Cd bioleaching from spent Ni–Cd batteries

The paper is concerned with biohydrometallurgical methods of cadmium recovery from spent Ni–Cd batteries. Cd leaching efficiency from electrode material in different media (H₂SO₄ and Fe₂(SO₄)₃ solutions), at different Fe(III) concentrations and using the bacteria Acidithiobacillus ferrooxidans were investigated. The main aim of this study was to understand which from the bioleaching products (sulphuric acid or ferric sulphate) play a main role in the bioleaching process of Cd recovery. The influence of Fe ions on Cd leachability was confirmed. The best leaching efficiency of Cd (100%) was reached by bioleaching and also by leaching in Fe₂(SO₄)₃ solution. The results of X-ray diffraction confirmed that no cadmium was present in solid residuum obtained after the Cd bioleaching as well as Cd leaching using solely ferric iron. The use of H₂SO₄ solution resulted in the lowest efficiency of Cd leachability, the presence of hydroxides in electrode materials caused neutralization of the leaching solution and inhibition of Cd leaching.     

Luminance of the Surround and Visual Fatigue of VDT Operators

Luminance distribution in the visual field is considered as one of causal factors with a significant influence on visual fatigue, especially for intensive and extended Video Display Terminal (VDT) work. The aim of the study was to define visual fatigue of VDT operators for different values of surrounding luminance. Experiments were carried out in laboratory conditions under 3 lighting conditions. Only 1 lighting parameter—the luminance of the wall behind the display (surrounding luminance)—changed. Visual fatigue was measured both by a subjective evaluation of different visual complaints (asthenopic symptoms) and by objective measurements of changes in the following visual functions: accommodation, convergence, habitual horizontal phoria, critical fusional frequency (CFF), and visual acuity. The same experiments were done for CRT (Cathode Ray Tube) and LCD TFT (Liquid Crystal Display with Thin Film Transistor) screens. The results of the study have shown that there was no significant influence of the value of surrounding luminance on the asthenopic symptoms for either type of screen. A general tendency towards bigger visual complaints for LCD TFT than for CRT participants was found. An objective evaluation of visual fatigue demonstrated a tendency towards bigger changes in visual functions with an increase of surrounding luminance for both screens. Statistical analysis of the results has shown that surrounding luminance influences significantly the reduction of the accommodation amplitude (significance level < .05).     

The degradation of the cyanobacterial hepatotoxin nodularin (NOD) by UV radiation

This study investigates the decomposition of NOD by UV irradiation. Water solutions of pure NOD and NOD-containing Nodularia extract as well as Nodularia filaments collected on filters were exposed to UV-A, UV-B, and white fluorescent light (VIS) during 48 h experiments. In VIS, the toxin was fairly stable and only 3.8-4.6% of the original degraded. UV-B had the most pronounced effect on the NOD degradation rate. In the experiment, the overall loss of NOD was 0.27 and 0.77 micro g ml(-1)day(-1) for the solution of pure toxin and Nodularia extract and 0.28 micro g day(-1) for Nodularia filaments. Comparison of UV-B degradation rate in water and methanol extracts revealed higher stability of NOD in methanol. This might suggest that some hydrophobic components of Nodularia cell play a protective role against UV radiation. Additionally, chemical (LC-MS/MS) and biochemical (ELISA and PPIA) assays were employed to characterize the UV degradation products. LC-MS/MS analyses showed that in UV-B exposed sample, apart from NOD, there were three other compounds with molecular ion at m/z at 825.4. The fragmentation pattern of the ion was the same for all four compounds suggesting that they are geometrical isomers of NOD. The major degradation product, with a local absorption maximum at 242 nm, was active in both biochemical assays.     

Factors determining presence of passerines breeding within White Stork <Emphasis Type="Italic">Ciconia ciconia</Emphasis> nests

Nests of White Stork Ciconia ciconia are commonly used by various passerines as nesting sites. In this study, we investigated factors determining presence and number of pairs of species breeding within White Stork nests in an extensive farmland in NE Poland. In 133 (57%) out of 233 White Stork nests, we found at least one breeding pair of passerine bird. These were from three species: House Sparrows Passer domesticus (68% of 133 nests with co-breeding), Tree Sparrows Passer montanus (65%), and Starlings Sturnus vulgaris (30%). The probability of breeding passerines within White Stork nests increased with increasing nest thickness, and was significantly higher in currently occupied nests. Sparrows were more likely to breed in White Stork nests located on electricity poles, situated closer to settlements and surrounded mainly by arable fields where meadows were not prevalent. In this paper, we show that White Stork nests are favorable nesting sites for passerines, as they are well insulated and provide an anti-predatory shield.     

Assessment of waste management technology using BATNEEC options, technology quality method and multi-criteria analysis

Best Available Techniques Not Entailing Excessive Costs (BATNEEC) options, technology quality method and multi-criteria analysis were proposed as means of developing indices for evaluating municipal waste management systems. The proposed indices can be treated as a tool for ranking the system taking into account technical, environmental, economic, social and other objectives, bearing in mind specific features of the area involved. The analysis was made for three different incineration plants (Spittelau in Vienna, Warsaw and Tarnobrzeg) together with alternative waste disposal versions (with or without biogas burning and with MBP Mechanical-Biological Process) and the waste management infrastructure. The results showed that incineration of waste is much more beneficial than disposal. These results conform to the waste hierarchy identified in EU Directive 2008/98, but the indices created are easy to interpret and useful as a tool for communicating with the public, which is often a crucial factor in determining the location of investment.