Simple mass balance equations (SMBE) of critical acid loads (CAL) in forest soil were developed to assess potential risks of air pollutants to ecosystems. However, to apply SMBE reliably at large scales, SMBE must be tested for adequacy and uncertainty. Our goal was to provide a detailed analysis of uncertainty in SMBE so that sound strategies for scaling up CAL estimates to the national scale could be developed. Specifically, we wanted to quantify CAL uncertainty under natural variability in 17 model parameters, and determine their relative contributions in predicting CAL. Results indicated that uncertainty in CAL came primarily from components of base cation weathering (BCw; 49%) and acid neutralizing capacity (46%), whereas the most critical parameters were BCw base rate (62%), soil depth (20%), and soil temperature (11%). Thus, improvements in estimates of these factors are crucial to reducing uncertainty and successfully scaling up SMBE for national assessments of CAL.

Multivariate statistical techniques are efficient ways to display complex relationships among many objects. An attempt was made to study the data of trace elements in groundwater using multivariate statistical techniques such as principal component analysis (PCA), Q-mode factor analysis and cluster analysis. The original matrix consisted of 17 trace elements estimated from 55 groundwater samples colleted in 27 wells located in a coastal area in Shenzhen, China. PCA results show that trace elements of V, Cr, As, Mo, W, and U with greatest positive loadings typically occur as soluble oxyanions in oxidizing waters, while Mn and Co with greatest negative loadings are generally more soluble within oxygen depleted groundwater. Cluster analyses demonstrate that most groundwater samples collected from the same well in the study area during summer and winter still fall into the same group. This study also demonstrates the usefulness of multivariate statistical analysis in hydrochemical studies. Multivariate statistical analysis was used to investigate relationships among trace elements and factors controlling trace element distribution in groundwater.

A Biotic Ligand Model was developed predicting the effect of cobalt on root growth of barley (Hordeum vulgare) in nutrient solutions. The extent to which Ca2+, Mg2+, Na+, K+ ions and pH independently affect cobalt toxicity to barley was studied. With increasing activities of Mg2+, and to a lesser extent also K+, the 4-d EC50Co2+ increased linearly, while Ca2+, Na+ and H+ activities did not affect Co2+ toxicity. Stability constants for the binding of Co2+, Mg2+ and K+ to the biotic ligand were obtained: log KCoBL = 5.14, log KMgBL = 3.86 and log KKBL = 2.50. Limited validation of the model with one standard artificial soil and one standard field soil showed that the 4-d EC50Co2+ could only be predicted within a factor of four from the observed values, indicating further refinement of the BLM is needed. Biotic Ligand Models are not only a useful tool to assess metal toxicity in aquatic systems but can also be used for terrestrial plants.

Ozone remains an important phytotoxic air pollutant and is also recognized as a significant greenhouse gas. In North America, Europe, and Asia, incidence of high concentrations is decreasing, but background levels are steadily rising. There is a need to develop a biologically significant and usable standard for ozone. We compare the strengths and weaknesses of concentration-based, exposure-based and threshold-based indices, such as SUM60 and AOT40, and examine the O3 flux concept. We also present major challenges to the development of an air quality standard for ozone that has both biological significance and practicality in usage. Current standards do not protect vegetation from ozone, but progress is being made.

Artificial-lawn mats were used as sediment traps in floodplains to measure sediment input and composition during flood events. To estimate the natural variability, 10 traps were installed during two flood waves at three different morphological units in a meander loop of the River Elbe. The geochemical composition of deposited and suspended matter was compared. The sediment input showed weak correlations with concentration and composition of river water. It also correlated poorly with flood duration and level as well as distance of trap position from the main river. This is due to the high variability of the inundation, different morphological conditions and the variability of sources. The composition of the deposits and the suspended matter in the river water was comparable. Hence, for the investigated river reach, the expected pollution of the floodplain sediments can be derived from the pollution of the suspended matter in the river during the flood wave. The deposition of polluted sediments on floodplains is characterised by a high local variability.

Many air pollutants and greenhouse gases have common sources, contribute to radiative balance, interact in the atmosphere, and affect ecosystems. The impacts on forest ecosystems have been traditionally treated separately for air pollution and climate change. However, the combined effects may significantly differ from a sum of separate effects. We review the links between air pollution and climate change and their interactive effects on northern hemisphere forests. A simultaneous addressing of the air pollution and climate change effects on forests may result in more effective research, management and monitoring as well as better integration of local, national and global environmental policies. Simultaneous addressing air pollution and climate change effects on forests is an opportunity for capturing synergies in future research and monitoring.

On December 12th, 1999, the oil tanker Erika sank off the southern coast of Brittany (France), releasing 20 000–30 000 tons of heavy oil in the open sea. Among the affected coastal habitats were important nurseries for numerous flatfish species and particularly for the common sole, Solea solea. To investigate the potential impact of the spill on this economically significant resource, we employed Fry's concept of metabolic scope for activity to assess the deleterious effect of fuel exposure on the functional integrity of juvenile sole. Fish were captured from uncontaminated areas and experimentally exposed to contamination conditions mimicking those encountered during the weeks that followed the Erika spill. Using respirometry techniques we measured basal and active metabolic rates, and calculated aerobic metabolic scope, in control and fuel-exposed sole. We then compared the ability of control and fuel-exposed sole to face an episode of reduced oxygen availability. We found that whereas basal metabolic rate was not altered in fuel-exposed fish, active metabolic rate (−27%), and therefore aerobic metabolic scope, were impacted. These changes in metabolic scope were viewed as indicating changes in fishes' ability to face environmental contingencies. Finally the ability of sole to face an episode of reduced oxygen availability was found to be significantly altered following fuel exposure as indicated by a 65% increase in the critical oxygen level. It is concluded that fuel-exposed sole are functionally impaired and less able to face environmental challenges. The link between these results and the recently reported fall in the abundance of the year class that suffered the Erika oil spill is discussed.

The life history of the European Eel (Anguilla anguilla) begins in the Sargasso Sea in the Atlantic Ocean where the Leptocephalus larvae drift with the gulf stream in order to reach European coastal waters. After their metamorphosis into transparent juveniles "glass" eels and an acclimatising phase in the estuaries, they migrate upstream into the rivers to become yellow eels (sub-adult stage). The yellow eels spend between 2 and 20 years of their lifetime in freshwater until they change into silver eels (adult stage) and finally migrate back to the Atlantic Ocean for spawning (Gomez-Mourelo, 2005). A. anguilla is thus an organism able to tolerate a wide range of environmental conditions, such as variations in oxygen availability, different ranges of salinities and exposure to many anthropogenic compounds. In addition, it is a migratory, benthic and benthivorous species at the top of the food chain and is characterised by a high fat content (>30%). For all these reasons A. anguilla is prone to bioaccumulate a wide range of contaminants and it has been widely employed throughout the last years as a bioindicator of the pollution caused by metals (Batty et al., 1996; Has-Schön et al., 2006) and organic contaminants (Storelli et al., 2007; Yamaguchi et al., 2003). The environmental and toxicological impact of Hg bioaccumulation in fish is related to the methylation of inorganic mercury to form the more toxic methylmercury (MeHg) species. In this way, fish tend to concentrate in their tissues MeHg by a factor of 105-107, leading to dangerous levels even in areas with tolerable Hg concentrations (Mason et al. 1996). It has been reported that about 98% of the Hg present in aquatic systems is immobilised in the sediments (Stein et al., 1996) and that most of the MeHg is produced at the sediment water interface as a result of biotic or abiotic transformations caused by specific redox gradients and bacterial activity (Gilmour and Henry, 1998.). According to this, A. anguilla may be an effective biomagnificator and bioaccumulator of Hg due to its longevity during the continental development phase in freshwaters (where it forages and lives upwards 15 years) and its position at the top of the food chain as a carnivorous species feeding on the benthic fauna (Mancini et al., 2005).

Microorganisms degrading phenolic compounds play an important role in soil carbon cycling. The pcaH gene encoding a key ring-cleaving enzyme of the β -ketoadipate pathway was selected as a functional marker. Using a degenerate primer pair, pcaH fragments were cloned from two soils. The RFLP screening of 150 pcaH clones yielded 68 RFLP families. Comparison of 86 deduced amino acid sequences displayed 70 % identity to known PcaH sequences. Phylogenetic analysis results in two major groups mainly related to PcaH sequences from Actinobacteria and Proteobacteria phyla. This gene constitutes a suitable molecular marker to study the diversity of this functional group.