Altitude dependent 137Cs concentrations in different plant species in alpine agricultural areas

The Gastein valley in the Central Part of the Austrian Alps was one of the regions most heavily affected by fallout of the Chernobyl nuclear catastrophe, depositing (137)Cs inventory up to 70 kBq/m(2) in May 1986. In many studies dealing with the uptake of (137)Cs by vegetation used for farming, a significant correlation between (137)Cs concentration in the plants and altitude a.s.l. has been observed. In order to quantify the influence of the composition of plant communities on the average (137)Cs concentration in vegetation on farmland, plant-specific activity concentrations in plant species have been determined. Alongside a transect from valley sites at 850 m a.s.l. to alpine pastures at 1660 m, the aggregated transfer factors C(ag) (m(2)/kg) have been measured for plant communities and plant species. C(ag) values for mixed vegetation are more or less similar in valley sites, but they increase exponentially with a doubling height of 122+/-22 m above appr. 1200 m altitude a.s.l. On average all species are affected by this increase in a similar way. C(ag) values of ubiquitous plant indicate that the composition of plant communities is of minor importance for the contamination of mixed vegetation.     

Mediation of area and edge effects in forest fragments by adjacent land use

Habitat loss, fragmentation, and degradation have pervasive detrimental effects on tropical forest biodiversity, but the role of the surrounding land use (i.e., matrix) in determining the severity of these impacts remains poorly understood. We surveyed bird species across an interior-edge-matrix gradient to assess the effects of matrix type on biodiversity at 49 different sites with varying levels of landscape fragmentation in the Brazilian Atlantic Forest—a highly threatened biodiversity hotspot. Both area and edge effects were more pronounced in forest patches bordering pasture matrix, whereas patches bordering Eucalyptus plantation maintained compositionally similar bird communities between the edge and the interior and exhibited reduced effects of patch size. These results suggest the type of matrix in which forest fragments are situated can explain a substantial amount of the widely reported variability in biodiversity responses to forest loss and fragmentation.     

Thermoplastic Blends from Albumin and Zein: Plastic Formation and Mechanical Properties Including Modeling

The use of proteins in blending with traditional polymers in the formation of thermoplastics can produce plastics with properties that are superior to traditional petroleum-based plastics. We investigated the physical and thermal properties of albumin and zein thermoplastic blends plasticized with glycerol and mixed with varying amounts of low-density polyethylene (LDPE). Several mechanical models were utilized to determine how tensile properties will be altered when varying amounts of protein/LDPE were added into the thermoplastic blend. When analyzed for thermal properties, we found that as the amount of LDPE in the thermoplastic blend increased, the resulting plastic possessed thermal properties that were more similar to pure LDPE plastics. In terms of mechanical properties, comparison between the experimental data and model predictions points to a synergistic effect between albumin and LDPE that leads to higher modulus, while a potential lack of compatibility between zein and LDPE leads to a plastic with lower modulus. Based on our results, the use of albumin and zein proteins when blended with LDPE in the production of thermoplastics has potential use in the areas of medical and food packaging applications.     

H-Print: a new chemical fingerprinting approach for distinguishing primary production sources in Arctic ecosystems

The unambiguous identification of discrete sources of organic matter is critical for understanding the processes that affect ecosystem structure. Here, we demonstrate how changes in the relative proportions of highly branched isoprenoid lipids can provide a straightforward analytical method to distinguish between organic matter derived from sea ice and seawater within an Arctic ecosystem. In combination with stable isotope analysis, we reconstruct the organic matter pathway across trophic levels, thereby elucidating specific organic matter energy transfers. Combined, these methods will provide a useful analytical approach for determining ecosystem structure in the future. This is likely to become increasingly important as the Arctic continues to experience a phase of rapid climate change.     

Assessment of both environmental cytotoxicity and trace metal pollution using Populus simonii Carr. as a bioindicator

The level of environmental pollution in the city of Ivano-Frankivsk (Western Ukraine) has been assessed by means of roadside poplar trees as bioindicators. Dividable apical meristem cells of rudimentary leaves were quantitatively analysed for mitotic activity and distribution. Anaphases were further examined for chromosomal aberrations. Male catkins were also examined for sterile pollens. Accumulation of trace elements in vegetative buds was also evaluated in order to reveal source(s) of environmental pollution. Poplar trees growing in the urban environment proved to have increased chromosomal aberrations (up to 4-fold) and increased pollen sterility (up to 4-fold) as well as decreased mitotic activity (by factor 1.5) as compared to control sampling site. The biomarker data correlate moderately with increased (up to 4-fold) concentrations of Ni, Zn, Pb, Cd and Cu in vegetative tissues suggesting that probable cause of the environmental cytotoxicity may be vehicle emissions. The maximum increase in chromosomal aberrations (7-fold) and the minimum mitotic activity (half of the control one) were recorded in poplar trees growing in industrial suburb in vicinity of large cement production plant. Taking in mind insignificant bioaccumulation of trace elements in the industrial suburb, the high environmental toxicity has been ascribed to contamination in cement and asbestos particulates.     

The Regionalization of National‐Scale SPARROW Models for Stream Nutrients1

Schwarz, Gregory E., Richard B. Alexander, Richard A. Smith, and Stephen D. Preston, 2011. The Regionalization of National‐Scale SPARROW Models for Stream Nutrients. Journal of the American Water Resources Association (JAWRA) 47(5):1151‐1172. DOI: 10.1111/j.1752‐1688.2011.00581.x Abstract: This analysis modifies the parsimonious specification of recently published total nitrogen (TN) and total phosphorus (TP) national‐scale SPAtially Referenced Regressions On Watershed attributes models to allow each model coefficient to vary geographically among three major river basins of the conterminous United States. Regionalization of the national models reduces the standard errors in the prediction of TN and TP loads, expressed as a percentage of the predicted load, by about 6 and 7%. We develop and apply a method for combining national‐scale and regional‐scale information to estimate a hybrid model that imposes cross‐region constraints that limit regional variation in model coefficients, effectively reducing the number of free model parameters as compared to a collection of independent regional models. The hybrid TN and TP regional models have improved model fit relative to the respective national models, reducing the standard error in the prediction of loads, expressed as a percentage of load, by about 5 and 4%. Only 19% of the TN hybrid model coefficients and just 2% of the TP hybrid model coefficients show evidence of substantial regional specificity (more than ±100% deviation from the national model estimate). The hybrid models have much greater precision in the estimated coefficients than do the unconstrained regional models, demonstrating the efficacy of pooling information across regions to improve regional models.     

Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes

The individual-based stand-level model EFIMOD was used for large-scale simulations using standard data on forest inventories as model inputs. The model was verified for the case-study of field observations, and possible sources of uncertainties were analysed. The approach developed kept the ability for fine-tuning to account for spatial discontinuity in the simulated area. Several forest management regimes were simulated as well as forest wildfires and climate changes. The greatest carbon and nitrogen accumulations were observed for the regime without cuttings. It was shown that cuttings and wildfires strongly influence the processes of carbon and nitrogen accumulations in both soil and forest vegetation. Modelling also showed that the increase in annual average temperatures resulted in the partial relocation of carbon and nitrogen stocks from soil to plant biomass. However, forest management, particularly harvesting, has a greater effect on the dynamics of forest ecosystems than the prescribed climate change.     

A simple model to assess selection for treatment-resistant sea lice

Sea lice are damaging marine copepod parasites that infest wild and farmed salmon. Lice are controlled largely by the application of medicines; however resistance has evolved to several such treatments. A simple model is used to explore situations under which treatment-resistant lice are likely to emerge. The model consists of farmed and wild populations of hosts that are infected with lice that exist in treatment-sensitive and treatment-resistant morphs. Resistance is assumed to impose costs on lice fitness, so the sensitive morphs have a selective advantage in the absence of treatment. Larval lice are exchanged between treated farmed hosts and untreated wild hosts by variable water currents. The model finds that resistance is most strongly selected under moderate levels of treatment on farms. High levels of treatment remove both sensitive and resistant lice from farms and, leave the wild untreated fish as a source of lice. The treatment per fish required to eradicate the resistant morphs increases as hydrodynamic mixing rates increase and so controlling emergence of resistance becomes less cost effective when mixing rates are high.     

Modelling Energy Dissipation Due to Soil-Moisture Hysteresis

Cyclic wetting and drying of soils due to changing weather conditions is characterised by a well-documented hysteresis in the relationship between the pressure or matric potential and the water content in the soil. Hysteresis manifests itself through a difference in drying and wetting curves. Its presence suggests that there is dissipation of energy associated with intermittent wetting and drying of the soil, which can be released in the form of heat. In this paper, we discuss a model for evaluation of the energy dissipation rate due to soil-moisture hysteresis. The model has three main ingredients: (a) a hysteresis constitutive relationship between soil-water potential and moisture content in the soil, which is modelled by the Preisach operator; (b) a lumped form of Darcy’s law assuming that the water flux is proportional to the difference of potentials in the soil and on its surface; (c) a rainfall term governing the evolution of the outer potential, which is modelled by a periodic forcing or a Poisson process. We propose a combination of analytic and numerical methods to evaluate the energy dissipation rate and how it is affected by the variation of rain parameters, such as the frequency of arrivals of rain cells and their shape, intensity and duration.