Biodiversity performance of organic farms in Austria - results from eight years of biodiversity assessment

Assessing the biodiversity performance of agricultural farms has gained importance in recent years since conserving and promoting biodiversity and associated ecosystem functions in cultural landscapes is a key aspect in making agriculture more sustainable – a demand expressed in science, politics and society. This contribution presents results from eight years of biodiversity assessments on organic farms in Austria applying a method developed at FiBL that estimates the biodiversity potential of agricultural farms (Schader et al. 2014)

Sustainability assessment of organic dairy farms in mountainous areas of Austria

Dairy farming plays a major role in mountainous regions of Austria, mostly due to high proportion of grasslands. In general, Austria’s dairy farming faces challenges regarding sustainability, e.g. environmental impacts, but specifically for alpine areas low productivity and dependency on direct payments are lowering sustainability. Organic farming is considered as a strategy to overcome these challenges. Considering this general background, we analysed the sustainability performance and its main drivers of organic dairy farms in mountainous regions of Austria

Farm- and product-level biodiversity assessment of conventional and organic dairy production in Austria

The novel method developed for this study evaluates the impact of farming practices on farmland biodiversity, allowing for the assessment of the biodiversity potential of dairy farms at farm and product levels. We linked farming practices as pressure indicators to the species number and abundance of 11 indicator species groups (ISGs), evaluated semi-quantitatively by expert judgements. We calculated biodiversity potential based on food–web relationships between the ISGs, using Monte Carlo simulations for the analysis of uncertainty of expert assessments. We applied the assessment model to 8925 dairy farms from seven different Austrian regions, using official statistical data sets at farm level and interviews with farmers and experts. The results show that the approach can be used to identify differences in the biodiversity potential of farms and milk. Milk from organic farms received 4–79% higher biodiversity scores than milk from conventional farms in all regions. The application showed that in the case of Austrian dairy production, the approach can be used for assessments of both farms and products. However, the approach needs validation and, for product-level assessment, further development to cope with longer supply chains or compound products from different bio-geographic regions

Prescription Drug Misuse and Gender

In recent years, prescription drug misuse has become a serious public health issue. A number of studies in this area have identified females to be at an increased risk for prescription drug misuse during adolescence. Guided by Agnew\u27s general strain theory, the current research examined the relationship between prescription drug misuse and gender during adolescence. We used data from the 2010 National Survey on Drug Use and Health, a sample representative of the non-institutionalized population of the United States. Logistic regression models were estimated to examine the relationship between gender, prescription drug misuse, strain, and depression. The findings indicated that females were at an increased for prescription drug misuse. We also found support for general strain theory, as strain and depression were significantly related to prescription drug misuse. In addition, we found evidence that strain was gendered in that elements of general strain theory accounted for the relationship between prescription drug misuse and gender. © 2014 Informa Healthcare USA, Inc