Endangered Species
- Science and regulatory support for pre-listing in the form of conservation strategies and planning.
- Identification of opportunities to develop threatened and Endangered Species conservation strategies using combined FIFRA risk assessment and corresponding Section 7 impact assessment.
- Development of science-based avoidance, minimization, and conservation metrics using geostatistics, remote sensing, machine learning classification, biological and physical numerical simulation, and geographic information systems.
Water Quality Trading Metrics
- Field- and watershed-scale nutrient and pesticide water quality modeling
- Water quality credit methodology development
- Risk assessment of water quality trading investments
- Validation and accreditation of water quality credits through monitoring and data/information processing
Conservation Metrics
- Development of linked ecosystem services & econometric approaches
- Application of geospatial analytics and geoinformatics to define ecological and conservation metrics
- Numerical simulation of habitat and ecological systems linked to conservation offsets and strategies
- Development of mobile and web-based applications focused on linking consumers and stakeholders
Linked Ecological-Conservation Modeling
Applying existing and novel ecological, ecosystem, and food web modeling to:
- Understand and interpret field conservation-oriented data and information
- Estimate the impact of current conservation strategies
- Quantify the impact of future, proposed conservation strategies
