- Development of empirical datasets of soil structure, geochemistry, microbial community composition and function from bench and mesocosm studies to identify on-site contaminant degradation processes and limitations to these processes as influenced by temperature, moisture and nutrient gradients
- Microbial based phylogenetic and functional metagenomic gene/pathway markers predictive of contaminant transformation
- Phenological descriptions of at-risk terrestrial ecosystems and defined linkages between local phyto-transformation/transport processes with landscape level ecosystem attributes
- A landscape-level predictive tool for estimating potential exposure risks at at-risk austere and remote locations
- Defined ‘environmental windows’ for effective contaminant treatment and time varying fate and transport models for accurate risk assessments.
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