Policy And Practice Improving EIA for Intensive Livestock Projects

Agriculture is being increasingly integrated into the UK's land use planning system and recently approved amendments to the EU's Environmental (Impact) Assessment Directive will further this integration and cause more assessments of more projects on a mandatory basis. This paper reviews recent research on the quality of assessments and argues that Environmental Statements of agricultural projects are of a much lower standard than those for other project types and that improvements will need to be made as a result of the changes to the Directive.     

Effects on the structure of Arctic ecosystems in the short- and long-term perspectives

Species individualistic responses to warming and increased UV-B radiation are moderated by the responses of neighbors within communities, and trophic interactions within ecosystems. All of these responses lead to changes in ecosystem structure. Experimental manipulation of environmental factors expected to change at high latitudes showed that summer warming of tundra vegetation has generally led to smaller changes than fertilizer addition. Some of the factors manipulated have strong effects on the structure of Arctic ecosystems but the effects vary regionally, with the greatest response of plant and invertebrate communities being observed at the coldest locations. Arctic invertebrate communities are very likely to respond rapidly to warming whereas microbial biomass and nutrient stocks are more stable. Experimentally enhanced UV-B radiation altered the community composition of gram-negative bacteria and fungi, but not that of plants. Increased plant productivity due to warmer summers may dominate food-web dynamics. Trophic interactions of tundra and sub-Arctic forest plant-based food webs are centered on a few dominant animal species which often have cyclic population fluctuations that lead to extremely high peak abundances in some years. Population cycles of small rodents and insect defoliators such as the autumn moth affect the structure and diversity of tundra and forest-tundra vegetation and the viability of a number of specialist predators and parasites. Ice crusting in warmer winters is likely to reduce the accessibility of plant food to lemmings, while deep snow may protect them from snow-surface predators. In Fennoscandia, there is evidence already for a pronounced shift in small rodent community structure and dynamics that have resulted in a decline of predators that specialize in feeding on small rodents. Climate is also likely to alter the role of insect pests in the birch forest system: warmer winters may increase survival of eggs and expand the range of the insects. Insects that harass reindeer in the summer are also likely to become more widespread, abundant and active during warmer summers while refuges for reindeer/caribou on glaciers and late snow patches will probably disappear.     

Determination of diazepam in aquatic samples by capillary liquid chromatography-electrospray tandem mass spectrometry

In recent years growing attention has been paid toward the discharge, presence and potential adverse effects of pharmaceuticals in the environment. Using different existing analytical methods several studies have already identified a variety of drugs in waste-, surface- and drinking water. The monitoring of surface waters for drugs is of great importance because drugs are designed to be biological very active substances. A capillary LC/ES-MS-MS method has been developed that enables the sensitive and specific detection of diazepam in water samples up to 0.1 ng/ml (LOD). It requires neither multiple extraction steps, nor the use of large volumes of organic solvent. Applying this assay we have detected diazepam in 'in/effluent samples' collected in Belgium and demonstrated the applicability for water analysis without off-line pre-concentration of the analyte.     

Sampling inference,an alternate statistical model

Sampling inference is proposed as an alternate paradigm. This method is discussed with respect to classical, Bayesian and a proposed probabilistic real world system. A probabilistic real world system is suggested as more valid and useful in practical as well as research situations. Sampling inference applied to a probabilistic model allows for valid inferences for volunteer and representative as well as random samples. A concept of time and distance based samples is introduced.