Plant extract reduces tobacco smoke harmful effects on alveolar macrophage immune responses

Tobacco smoke is a major factor responsible for lung cancer and chronic obstructive pulmonary disease. Although the best solution to reduce the incidence of these diseases is to quit smoking, there are still a large number of smokers. Thus, given the immunoregulatory properties of plant extracts, their capacity to reduce tobacco smoke harmful effects on alveolar macrophage (AM) functions was investigated. AM were treated with tobacco smoke extract and parenchymata tissue extract (PTE), or mesophyll cell extract (MCE) of Spinacia oleacea. The effects of tobacco smoke extract from PTE and MCE-treated cigarette filters were also investigated. AM production of tumor necrosis factor (TNF), interleukin-10 (IL-10) and macrophage chemoattractant protein-1 (MCP-1), and AM cytotoxicity were measured. Tobacco smoke extract significantly inhibited TNF, IL-10, and MCP-1 release, and AM cytotoxicity. The addition of PTE and MCE to tobacco smoke extract abrogated the inhibition of AM mediator release. However, only MCE restored AM cytotoxicity. Interestingly, tobacco smoke extract of PTE and MCE-treated cigarette filters showed reduced effects on AM functions. Tobacco smoke extract from MCE-treated (0.25%) cigarette filters did not inhibit TNF, IL-10, and MCP-1 release in contrast to tobacco smoke extract from buffer-treated cigarette filters. AM cytotoxic activity was not inhibited by the treatment with tobacco smoke extract from MCE-treated cigarette filters. Our data suggest that the presence of plant extract in cigarette filters reduces the inhibitory effects of cigarette smoke on AM functions. Thus, MCE-treated cigarette filters may help reducing lung diseases associated with smoking.     

The relationship between lunar periodicity and activity of fish-parasitic gnathiid isopods in the Caribbean

Gnathiid isopod larvae are members of the marine demersal zooplankton community and are common ectoparasites of coral reef fishes, emerging from the substratum, mostly at night and crepuscular periods to feed on fish blood. Given that the activity of many marine organisms is often linked to changes in the phase of the moon, we examined the relationship between lunar phase and activity in gnathiid isopods on Caribbean reefs. We employed two sampling methods to quantify gnathiid activity: (1) Emergence traps set on reefs over a 24 h period; and (2) live fish placed in cages on reefs and retrieved during night and dawn peaks in gnathiid activity. These were compared during discrete phases as well as a continuous metric, the lunar “angle”, and an estimate of ambient light availability (luminance). Lunar phase and angle varied in their statistical effect on gnathiid activity patterns by sampling method and/or year. Luminance had a significant but inconsistent effect on measures of gnathiid activity. Our results suggest that changes in the lunar cycle are not a strong predictor of gnathiid activity at our shallow reef study sites.     

Regional climate change projections for the Northeast USA

Climate projections at relevant temporal and spatial scales are essential to assess potential future climate change impacts on climatologically diverse regions such as the northeast United States. Here, we show how both statistical and dynamical downscaling methods applied to relatively coarse-scale atmosphere-ocean general circulation model output are able to improve simulation of spatial and temporal variability in temperature and precipitation across the region. We then develop high-resolution projections of future climate change across the northeast USA, using IPCC SRES emission scenarios combined with these downscaling methods. The projections show increases in temperature that are larger at higher latitudes and inland, as well as the potential for changing precipitation patterns, particularly along the coast. While the absolute magnitude of change expected over the coming century depends on the sensitivity of the climate system to human forcing, significantly higher increases in temperature and in winter precipitation are expected under a higher as compared to lower scenario of future emissions from human activities.     

Effects of multiple but low pesticide loads on aquatic fungal communities colonizing leaf litter

In the first tier risk assessment (RA) of pesticides, risk for aquatic communities is estimated by using results from standard laboratory tests with algae, daphnids and fish for single pesticides such as herbicides, fungicides, and insecticides. However, fungi as key organisms for nutrient cycling in ecosystems as well as multiple pesticide applications are not considered in the RA. In this study, the effects of multiple low pesticide pulses using regulatory acceptable concentrations (RACs) on the dynamics of non-target aquatic fungi were investigated in a study using pond mesocosm. For that, fungi colonizing black alder (Alnus glutinosa) leaves were exposed to multiple, low pulses of 11 different pesticides over a period of 60 days using a real farmer''s pesticide application protocol for apple cropping. Four pond mesocosms served as treatments and 4 as controls. The composition of fungal communities colonizing the litter material was analyzed using a molecular fingerprinting approach based on the terminal Restriction Fragment Length Polymorphism (t-RFLP) of the fungal Internal Transcribed Spacer (ITS) region of the ribonucleic acid (RNA) gene(s). Our data indicated a clear fluctuation of fungal communities based on the degree of leaf litter degradation. However significant effects of the applied spraying sequence were not observed. Consequently also degradation rates of the litter material were not affected by the treatments. Our results indicate that the nutrient rich environment of the leaf litter material gave fungal communities the possibility to express genes that induce tolerance against the applied pesticides. Thus our data may not be transferred to other fresh water habitats with lower nutrient availability.     

Canada's Model Forests 20 years on: towards forest and community sustainability?

We review how Canadian Model Forests pursued forest and community sustainability over the course of two decades (1992–2012). Given its roots in the forest industry and forest science, Model Forest programming initially faced some challenges in pursuing the socio‐economic dimensions of sustainable forest management (SFM) in order to fulfil mandated community sustainability objectives. This was due, in part, to how objectives, stakeholders, and expertise were brought together to develop SFM. The programme helped to define sustainability and the SFM paradigm, advance forest science and social research, and bring together a mix of usually adversarial partners in the name of innovation. Ultimately, the termination of federal programming was linked to high‐level policy shifts, yet difficulty in delivering on the socio‐economic dimensions of SFM during a period of forest sector and community crisis was also a factor.