International audience | Juvenile Helix aspersa snails exposed in field microcosms were used to assess the transfer of Cd, Cu, Ni, Pb and Zn from forest soils amended with liquid and composted sewage sludge. Zri concentrations and contents were significantly higher in snails exposed to liquid and composted sludge after 5 and 7 weeks of exposure, when compared with control. Trends were less clear for the other metals. Present results show that Zn, among the cocktail of metallic trace elements (MTE) coming from sewage sludge disposal, represents the principal concern for food chain transfer and secondary poisoning risks. The microcosm design used in this experiment was well suited for relatively long-term (about 2 months) active biomonitoring with H. aspersa snails. The snails quickly indicated the variations of MTE concentrations in their immediate environment. Therefore, the present study provides a simple but efficient field tool to evaluate MTE bioavailability and transfer.

The main content of the new European Water Framework Directive is presented. Within its river basin management approach, a special mention of coastal waters status is made. Among the issues at stake are the setting up of river basin management plans, including coastal waters, and water quality assessment system leading to an harmonized definition of quality objectives and their appropriate indicators. The Rhone-Mediterranean-Corsica Water Master Plan, launched in 1996, is considered to be well fitted to this river basin approach and the necessary tools which go with it. It shows up how a river quality assessment system (SEQ) can be adapted to the coastal waters and how it can progressively lead to an efficient set of publishable environmental and performance indicators. Since planning and implementation are devolved to the lowest appropriate level, a close look is then been given at how such a system can work at the local level through different selected case studies on the French Mediterranean coast. In conclusion, some guidelines are drawn up for future initiatives towards integrated coastal area and river basin management.

A comparison between different existing or simulated BMPs has been carried out through a cost/effectiveness assessment along with the study of their acceptability by farmers on eight European watersheds in a multidisciplinary framework involving eleven research teams. Water quality problems encountered and dealt with in this project for all eight watersheds include: high nitrate loads and concentrations at the outlet of the two western French watersheds associated with dairy production, high loads of phosphorus into lake Vico (Italy) associated with hazelnut plantations, high nitrate concentration in groundwater for two watersheds in Austria and Italy, high sediment loads at the outlet of a second Austrian watershed, acid water associated with artificial drainage of moraine soils in Finland, pesticide contamination in Norway.The comparison of different BMPs for a given watershed is built as a 6 steps framework :step 1 : describing the watershed, the general problematic (including the objective of the different actors) and of the main water quality problems. .step 2 : describing and computing the hydrology. Description of the model used, calibration and validation of the model, definition of critical areas and risky practices, assessment of their impact on total fluxes or concentrations, deduction of proposed BMPs, assessment of the ex ante effectiveness of each BMP.step 3 : describing the economics. Description of the diversity of farms, choice of the model to represent this diversity, results of model implementation (does this model provide an acute description of the statu quo situation ?), assessment of the consequences on introducing BMPs and ex ante cost of this introduction.step 4 : assessing the results of steps 2 and 3 to a cost/efficiency ratio for each BMP.step 5 : interviewing the farmers to assess the acceptability for each BMP.step 6 : comparing of the cost/efficiency ratio and the acceptability to build a selection grid.