Projects:
Cramer Fish Sciences has diverse experience in developing and applying advanced
quantitative methods to fisheries and aquatic resource problems. Our staff includes biostatisticians
and biologists that are expert in applying cutting edge statistical and computational techniques,
translating and presenting results to a wide range of audiences, and developing solutions to
real-world problems. We are recognized experts in the analysis of fish and fishery tagging
information including mark-recapture, Coded Wire Tags (CWT), Passive Integrated Transponder
(PIT), and telemetry data.
- Time Series and Trends
- Multivariate Regression-Correlation
- Nonparametric Methods
- Cohort Reconstruction
- Mark-Recapture Survival and Abundance Estimates
- Maximum Likelihood Methods
- Bayesian Statistics
- Assumptions Testing
- Missing or Incomplete Data
- Risk Assessment
- Decision Analysis
- Experimental Design
Fish Habitat and System Modeling
Conceptual and quantitative models are valuable tools for organizing
what we know about complex systems, identifying where critical information is lacking, and
applying this understanding to identify, evaluate, or predict the results of alternative
actions. All models by necessity must be simple abstractions of often intricate systems
but, so long as we understand their limitations, models can provide unparalleled
opportunities for education and new insights. We have extensive experience in the application,
development, and evaluation of models, particularly of fish populations and relationships
between fish and their habitats.
- Salmon Population Dynamics and Predictions
- Population Viability and Extinction Risk
- Juvenile Salmon Habitat Capacity
- Effects of Forest and Land-Use Practices on Streams and Salmon
- Fisheries and Hatcheries
- Salmon Stock-Recruitment
- Predator-Prey Relationships
- Multi-Species Analysis
- Growth and Bioenergetics
- Sturgeon Populations
- Wildlife Populations
- Physical Processes
- Deterministic and Stochastic Applications
- Multi-Disciplinary Approaches
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