You Eat What You Are: Moral Dimensions of Diets Tailored to One's Genes

Thanks to developments in genomics,dietary recommendations adapted to genetic riskprofiles of individual persons are no longerscience fiction. But what are the consequencesof these diets? An examination of possibleimpacts of genetically tailor-made diets raisesmorally relevant concerns that are analogous to(medical-ethical) considerations aboutscreening and testing. These concerns oftengive rise to applying norms for informedconsent and for the weighing of burdens andbenefits. These diets also have a broaderimpact, especially because food patterns arefull of personal, social and cultural meanings.Diets will change one's food patterns and one'sattitude towards food, and this may implychanges in one's identity. We argue that suchan impact does not necessarily raise moralproblems. Moral concerns are, however, relevantif collective values and shared meanings infood practices are at issue. Therefore, thedevelopment of genetically tailor-made dietsdoes not merely require emphasis on weighingpersonal benefits and burdens and on informedconsent. It also asks for attention to andmoral reflection on the collective valuesinvolved in food practices.     

From policy mix to policy networks: assessing climate and land use policy interactions in Mato Grosso,Brazil

ABSTRACT

In the climate and land use fields, policy mixes are complex in terms of the levels of governance, actors, and roles. They consist of policy instruments that target different actors and address multiple goals across several policy sectors and levels. The analysis of these complex arrangements extends beyond purely technical efficiency criteria, as several sources of tension between instruments may be identified, such as conflicting interests, goals, and approaches to implementation. The proliferation of governance networks complicates the understanding of actors’ interactions, the types of authority influencing the outcomes of policy mixes, and importance of different levels of governance. This article provides a framework to address these analytical challenges, particularly the interconnected networks of policy actors and policy instruments. It draws on polycentric governance literature to analyse how power matters in policy networks. This includes identifying distinct types of power, actors’ position, and variables that explain patterns of conflict, competition, convergence, and divergence in policy choices and outcomes. The framework is applied to the climate and land use policies implemented in the state of Mato Grosso, Brazil. Several methods were used to clarify these variables and to characterise policy mixes being implemented in the region, including social network analysis.     

Exposure to DDT and HCH congeners and associated potential health risks through khat (Catha edulis) consumption among adults in South Wollo,Ethiopia

Environmental Geochemistry and Health - Khat (Catha edulis) chewing is widespread in the region of East Africa. Even low levels of organochlorine pesticides (OCPs) in khat could induce public...     

Spatial clustering of habitat structure effects patterns of community composition and diversity

Natural ecosystems often show highly productive habitats that are clustered in space. Environmental disturbances are also often nonrandomly distributed in space and are either intrinsically linked to habitat quality or independent in occurrence. Theoretical studies predict that configuration and aggregation of habitat patch quality and disturbances can affect metacommunity composition and diversity, but experimental evidence is largely lacking. In a metacommunity experiment, we tested the effects of spatially autocorrelated disturbance and spatial aggregation of patch quality on regional and local richness, among-community dissimilarity, and community composition. We found that spatial aggregation of patch quality generally increased among-community dissimilarity (based on two measures of beta diversity) of communities containing protozoa and rotifers in microcosms. There were significant interacting effects of landscape structure and location of disturbances on beta diversity, which depended in part on the specific beta diversity measures used. Effects of disturbance on composition and richness in aggregated landscapes were generally dependent on distance and connectivity among habitat patches of different types. Our results also show that effects of disturbances in single patches cannot directly be extrapolated to the landscape scale: the predictions may be correct when only species richness is considered, but important changes in beta diversity may be overlooked. There is a need for biodiversity and conservation studies to consider the spatial aggregation of habitat quality and disturbance, as well as connectivity among spatial aggregations.     

The Effect of Nitrogen Enrichment on the Carbon Sink in Coniferous Forests: Uncertainty and Sensitivity Analyses of Three Ecosystem Models

Estimates of the global carbon sink induced by nitrogen enrichment range vary widely, from nearly zero to 2.3 Gt C year^-1. It is necessary to reduce this uncertainty if we are to make accurate predictions of the future magnitude of the terrestrial carbon sink. Here, we present a Monte Carlo approach to uncertainty and sensitivity analysis of three ecosystem models, Century,BGCand Hybrid. These models were applied to a coniferous forest ecosystem in Sweden. The best estimate of the change in total carbon content of the ecosystem with the cumulative change in nitrogen deposition over 100 years, C_total/N_deposition was 20.1 kg C (kg N)^-1 using the pooled mean, with a pooled standard deviation of 13.8 kg C (kg N)^-1. Variability in parameters accounted for 92% of the total uncertainty in C_total/N_deposition, and only 8% was attributable to differences between models. The most sensitive parameters were those which controlled the allocation of assimilate between leaves, roots and stem. In particular, an increase in allocation to fine roots led to a large reduction in C_total/N_deposition in all models, because the fine roots have a very high turnover rate, and extra carbon allocated there is soon lost through mortality and decomposition.     

Particulate matter emissions during autopsies: a method to reduce exposure

Environmental Science and Pollution Research - Particulate matter emitted during autopsies can serve as a vector for numerous viruses or bacteria and can lead to infections. Reducing the exposure...