The approach of OSCAR

Project workflow

Synthesize and complement knowledge (WP1-2)

  • Literature review on local effects of woody buffers on selected ecosystem functions (nutrient / fine sediment retention, water temperature) and biodiversity
  • Complementary studies on local as well as large scale down- and upstream effects on the selected ecosystem functions, a wider range of diversity aspects (functional trait diversity and river-type-specific diversity = ecological status, in addition to richness) and migration
  • Develop Bayesian Belief Networks (BBN) to model woody buffer effects for river segments and develop a modelling approach for upscaling local effects to the river network and catchment scale

Optimize effects in case-study catchments (WP3-4)

  • Apply the BBN in four case study catchments (France and Germany) for the present conditions (baseline scenario)
  • Model three different riparian management scenarios (best-practice, realistic, pessimistic) including a sensitivity/uncertainty analysis
  • Assess the ecosystem services for representative river segments in the case-study catchments
  • Optimize the overall effect by identifying spatial configurations of woody riparian buffers with a high overall effect

Knowledge brokering / putting it into practice (WP5-6)

  • Summarize the knowledge rules derived in WP1 and WP2
  • Develop a (GIS) tool to assess woody riparian buffer effects
  • Derive river management and policy recommendations based on the scenario runs

Stakeholder participation at three levels (WP7)

  • Regional level (case-study catchment river managers)
  • National level (river basin management, agricultural administration, NGOs)
  • EU level (guidance documents targeting EU policies, e.g. WFD, CAP, Natur2000, EU Biodiversity Strategy)