Lab 4 Population Genetics, Species Concepts, and Conservation Biology
Lab Objectives
- Assess species concepts applied to Aurora Trout.
- Describe bottleneck effect from habitat data.
- Calculate effective population size and its impact on extinction risk.
- Analyze extinction vortex and relate it to Aurora Trout.
- Create a restoration strategy for long-term survival.
General Background
- Aurora trout were first found in 1923, endemic to Whirligig Lake and Whitepine Lake.
- Declined since the 1940s; extirpated by 1967 due to lake acidification from industrial pollution.
- A captive breeding program emerged in the late 1950s to prevent extinction.
- Declared endangered by COSEWIC in 1987; concerns about their taxonomic status persist.
Taxonomic Status
- Aurora trout (Salvelinus timagamiensis) shares similarities with Brook Trout but has distinct differences (coloration, skeletal features).
- Species concepts:
- Biological species concept: Focus on reproductive isolation.
- Morphological species concept: Based on structural features.
- Ecological species concept: Interaction with environment.
- Phylogenetic species concept: Based on common ancestors.
COSEWIC Assessment Criteria
Quantitative Criteria:
- Declining abundance
- Limited distribution
- Small population size
Qualitative Criteria:
- Threats to population
- Life history traits
Exercises Summary
- Species Debate: Evaluate species concepts for Aurora Trout vs. Brook Trout.
- Endangered Status: Discuss how Aurora Trout meets COSEWIC criteria.
- Population Size: Calculate effective population size using given formula.
- Extinction Viability: Discuss long-term viability related to extinction vortex.
- Management Strategy: Propose wildlife management practices to enhance genetic diversity.
- Concept Mapping: Visualize connections among concepts (e.g., Bottleneck effect, Genetic Drift).
Concept Map Guidelines
- List and elaborate key concepts related to Aurora Trout conservation.
- Identify links between various ecological and biological concepts.
- Concept mapping aids in understanding interconnections in population genetics and conservation principles.