How humans shape wolf behavior in Banff and Kootenay National Parks, Canada

This paper describes the conceptualization and implementation of an agent-based model to investigate how varying levels of human presence could affect elements of wolf behavior, including highway crossings; use of areas in proximity to roads and trails; size of home ranges; activities, such as hunting, patrolling, resting, and feeding pups; and survival of individuals in Banff and Kootenay National Parks, Canada. The model consists of a wolf module as the primary component with five packs represented as cognitive agents, and grizzly bear, elk, and human modules that represent dynamic components of the environment. A set of environmental data layers was used to develop a friction model that serves as a base map representing the landscape over which wolves moved. A decision model was built to simulate the sequence of wolf activities. The model was implemented in a Java Programming Language using RePast, an agent-based modeling library. Six months of wolf activities were simulated from April 16 to October 15 (i.e., a season coherent with regard to known wolf behaviors), and calibrated with GPS data from wolf radiocollars (n = 15) deployed from 2002 to 2004. Results showed that the simulated trajectories of wolf movements were correlated with the observed trajectories (Spearman's rho 0.566, P < 0.001); other critical behaviors, such as time spent at the den and not traveling were also correlated. The simulations revealed that wolf movements and behaviors were noticeably affected by the intensity of human presence. The packs’ home ranges shrank and wolves crossed highways less frequently with increased human presence. In an extreme example, a wolf pack whose home range is traversed by a high-traffic-volume highway was extirpated due to inability to hunt successfully under a scenario wherein human presence levels were increased 10-fold. The modeling prototype developed in this study may serve as a tool to test hypotheses about human effects on wolves and on other mammals, and guide decision-makers in designing management strategies that minimize impacts on wolves and on other species functionally related to wolves in the ecosystem.     

A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe

Ambient concentrations of many pollutants are associated with emissions due to human activity, such as road transport and other combustion sources. In this paper we consider air pollution as a multi-level phenomenon on a continental scale within a Bayesian hierarchical model. We examine different scales of variation in pollution concentrations ranging from large scale transboundary effects to more localised effects which are directly related to human activity. Specifically, in the first stage of the model, we isolate underlying patterns in pollution concentrations due to global factors such as underlying climate and topography, which are modelled together with spatial structure. At this stage measurements from monitoring sites located within rural areas are used which, as far as possible, are chosen to reflect background concentrations. Having isolated these global effects, in the second stage we assess the effects of human activity on pollution in urban areas. The proposed model was applied to concentrations of nitrogen dioxide measured throughout the EU for which significant increases are found to be associated with human activity in urban areas. The approach proposed here provides valuable information that could be used in performing health impact assessments and to inform policy.     

Dimethylphthalate hydrolysis by specific microbial esterase

TWO BACTERIAL STRAINS: Arthrobacter sp. and Sphingomonas paucimobilis were isolated from soil by enrichment cultures using dimethylphthalate (DMP) or monomethylphthalate (MMP) as sole carbon source, respectively. DMP was rapidly transformed by an Arthrobacter sp. culture with formation of MMP and phthalic acid (PA) which is further degraded. This strain was unable to hydrolyse MMP. A mechanism of degradation of DMP was proposed with two ways: DMP-->PA and DMP-->MMP. The S. paucimobilis strain hydrolyses only MMP and a coculture of the two strains allowed a complete degradation of DMP.     

Energy-ecological efficiency of dual-fuel series plug-in hybrid electric vehicle considering WTW emissions

Environmental Science and Pollution Research - This paper discussed the possibility of replacing the internal combustion engine of the series plug-in hybrid electric vehicle (PHEV) powered by...     

An integrative negotiation model to deal with conflicts toward water resources management: a case study in Brazil

Environment, Development and Sustainability - An integrative negotiation model is proposed so that watershed committees (WSC) can deal better with conflicts over alternatives for protecting water...     

Changes in Microbial Community Structure and Soil Biological Properties in Mined Dune Areas During Re-vegetation

The aim of this study was to describe the impact of re-vegetation on the restoration of microbial community structure and soil microbiological properties in sand dunes that had been affected by mining activity. Soil samples were collected during the dry and rainy seasons from a chronosequence (1, 9, 21 years) of re-vegetated dunes using a single preserved dune as a reference. The composition of the fatty acid methyl esters and soil microbial properties were evaluated. The results showed that the changes in microbial community structure were related to seasonal variations: biomarkers of Gram-positive bacteria were higher than Gram-negative bacteria during the dry season, showing that this group of organisms is more tolerant to these stressful conditions. The microbial community structure in the natural dune was less affected by seasonal variation compared to the re-vegetated areas, whereas the opposite was observed for microbiological properties. Thus, in general, the proportion of saprobic fungi was higher in the natural dune, whereas Gram-negative bacteria were proportionally more common in the younger areas. Although over time the re-vegetation allows the recovery of the microbial community and the soil functions, these communities and functions are different from those found in the undisturbed areas.     

Should Future Generations be Content with Plastic Trees and Singing Electronic Birds?

The aim of this paper is to determine whether the present generation should preserve non-human living things (plants, animals and other organisms) for future generations, even if (i) in the future all the contributions these organisms currently make to human survival in decent conditions were performed by adequate technology and (ii) future people's preferences were satisfied by this state of affairs. The paper argues it would be wrong to leave a world without non-human living plants, animals and other organisms to future generations, because such a world would fail to secure one of the conditions of future people’s autonomy, that is, availability of adequate options. Building upon Joseph Raz’s account of autonomy, the paper shows that the presence of non-human living organisms is part of an adequate range of options insofar as, to be adequate, options must meet a test of variety. According to Raz, options pass this test if they enable human agents to exercise a set of physical, affective, imaginative and cognitive capacities humans normally have an innate drive to exercise. The paper discusses empirical findings as well as psychological theories that provide support to the hypothesis that interactions with non-human living organisms enable human beings to develop and exercise these capacities by shaping these capacities in a special way, different from the way interactions with other environments do.     

Molecular analysis of carbon dioxide adsorption processes on steel slag oxides

This review presents a summary of the main interactions that occur during the carbon dioxide (CO₂) adsorption at the surface of steel slags with basic (CaO, MgO), amphoteric (Al₂O₃, Cr₂O₃, TiO₂, MnO, iron oxides) and acidic (SiO₂) oxides. The high content of metal oxides in steel slags gives them a great potential to adsorb CO₂, reaching a saturation value of about 0.25 kg of CO₂/kg of slag. CO₂ is physisorbed and chemisorbed on the most of metal oxide types. Generally, the CO₂ physisorption on the basic and amphoteric metal oxides involves an electrostatic interaction between the CO₂ and the cation from the oxides while the CO₂ chemisorption rather implicates the basic sites that acts as the electron donor, and which are associated with O^2? ions localized at surface defects. These interactions result in the formation of carbonates (monodentates or unidentates and bidentates). The affinity of oxides for the CO₂ and the carbonate formation principally depend of the strength and number of basic sites at their surface and varies as following: basic oxides > amphoteric oxides > acidic oxides. The basic metal oxides generally represent the best electron donors and thus the best CO₂ adsorbents due to the high basicity and their great number of reaction sites. Hence, it appears that the surface structure of basic and amphoteric metal oxides which may favour their interaction with the CO₂, as well as their basicity is the determinant factor contributing to the formation of carbonate species. The molecular analysis of CO₂ adsorption on steel slag metal oxides will provide useful data to identify rate-controlling mechanisms and should be considered for the development of new effective methods for the capture of atmospheric CO₂ emissions released from industries.