One of the most dangerous pests of cereals is Zabrus tenebrioides and, in Poland, it is becoming a serious pest. Entomopathogenic nematodes (EPNs) seem to be a very promising, biological control agent for this pest. Native EPN populations are well adapted to local environmental conditions. The current study characterized three Polish isolates of the EPN Steinernema feltiae, which differed in their effectiveness against Z. tenebrioides. In the field, isolate iso1Lon reduced the pest population by 37%, compared with 30% by isolate iso1Dan and 0% by the iso1Obl isolate; the number of plants damaged by Z. tenebrioides in the presence of the different isolates reflected the results in terms of the decrease in pest population size. After incubation in the soil for 60 days, recovered EPN juveniles of all three isolates were able to infect 93–100% of the test insects, with isolate iso1Obl again showing the lowest effectiveness. The juveniles of isolate iso1Obl were also morphometrically distinct from the other two isolates, as revealed by principal component analysis (PCA), which helped to distinguish the EPN isolates. These findings showed the value of using locally adapted isolates of EPNs; two of the three isolates randomly selected from Polish soil outperformed a commercial population of S. feltiae.

One of the important factors determining the biochemical processes in bioreactors is the quality of the wastewater inflow to the wastewater treatment plant (WWTP). Information on the quality of wastewater, sufficiently in advance, makes it possible to properly select bioreactor settings to obtain optimal process conditions. This paper presents the use of classification models to predict the variability of wastewater quality at the inflow to wastewater treatment plants, the values of which depend only on the amount of inflowing wastewater. The methodology of an expert system to predict selected indicators of wastewater quality at the inflow to the treatment plant (biochemical oxygen demand, chemical oxygen demand, total suspended solids, and ammonium nitrogen) on the example of a selected WWTP—Sitkówka Nowiny, was presented. In the considered system concept, a division of the values of measured wastewater quality indices into lower (reduced values of indicators in relation to average), average (typical and most common values), and upper (increased values) were adopted. On the basis of the calculations performed, it was found that the values of the selected wastewater quality indicators can be identified with sufficient accuracy by means of the determined statistical models based on the support vector machines and boosted trees methods.

No abstract

The prepared article by the team of authors aims to show research in the field of strengthening and developing knowledge and awareness from environmental education in the community of nature conservation services and the academic community. This paper is the result of research conducted in 2014–2015, in the Włoszczowa-Jędrzejów Protected Landscape Area, in the Świętokrzyskie Province. The material for the study was acacia robinia (Robinia pseudoacacia L.) leaves collected on two research areas, differentiated due to the influence of anthropogenic factors. As a result of the study, 5,000 black locust leaves were collected, 65% of which were found to be damaged. Research stands under the influence of strong anthropopressure were characterised by a higher number of lesions on leaves.

Abstract. This paper gives examples of ergodic Markov chains produced by MCMC algorithms where the extremal index is zero. IntroductionThe extremal index is quantity which allows one to characterise the relationship between the dependence structure of strictly stationary sequence and their extremal behaviour. The extremal index 6 belongs to the interval [0,1]. The case 0 = 0 is somewhat pathological.In the past, interest in the case where the extremal index is equal to zero has been limited to a more theoretical and academic discussion. Recently have proved that extremal index of the random walk Metropolis (RWM) algorithm on standard Cauchy density is equal to zero. This paper shows that in this case the extremal index equals to zero for each density which has a heavy -tailed not only for Cauchy density.We begin from defining some necessary notions. Let {X n , n > 1} be a sequence of random variables.