General Biology Exam Study Guide

Overview of Exam Format

This study guide covers key topics for a General Biology exam, focusing on ecology, scientific inquiry, and data analysis. The exam consists of multiple-choice questions based on case studies, textbook readings, and class discussions. Students are encouraged to review all assigned readings, figures, and additional resources to prepare effectively.

Case Studies in Ecology and Environmental Biology

Climate Change

Climate change refers to significant, long-term changes in the Earth's climate, particularly increases in global average temperature due to human activities such as burning fossil fuels.

• Key Points:

  • Review assigned articles and figures discussed in class.

  • Understand the causes and consequences of climate change.

  • Be able to interpret data and figures related to climate change impacts.

• Example: Analyzing temperature trends and their effects on polar ice caps.

Sea Turtle Sex Ratio & Global Warming

Global warming can affect the sex ratio of sea turtles, as the temperature at which eggs incubate determines the sex of hatchlings.

• Key Points:

  • Understand how temperature-dependent sex determination works in sea turtles.

  • Review figures and data showing changes in sex ratios due to rising temperatures.

• Example: Warmer sand temperatures produce more female hatchlings, potentially impacting population dynamics.

Impact on Amazonian Biodiversity

The Amazon rainforest is a hotspot for biodiversity, but it faces threats from deforestation, climate change, and human activities.

• Key Points:

  • Review figures and data on species diversity in the Amazon.

  • Understand the ecological consequences of biodiversity loss.

• Example: Deforestation reduces habitat availability, leading to species extinction.

Species Interaction, Biodiversity & Disease Transmission: Lyme Disease and Climate Change

Climate change can influence the spread of vector-borne diseases like Lyme disease by affecting the distribution of ticks and their hosts.

• Key Points:

  • Understand the relationship between biodiversity, disease transmission, and climate change.

  • Review figures and data on Lyme disease incidence and climate trends.

• Example: Warmer temperatures may expand the range of ticks, increasing Lyme disease risk.

Textbook Chapter Readings

Scientific Inquiry

Scientific inquiry is the process by which scientists investigate natural phenomena, develop hypotheses, and test predictions through experiments.

• Steps in Scientific Inquiry:

  1. Observation

  2. Question

  3. Hypothesis formation

  4. Prediction

  5. Experimentation

  6. Analysis and conclusion

• Key Terms: Hypothesis, prediction, control group, independent variable, dependent variable.

• Example: Testing whether fertilizer increases plant growth by comparing treated and untreated plants.

Ecology: Concepts and Applications

Population Ecology

Population ecology studies the factors that affect population size, distribution, and dynamics.

• Key Concepts:

  • Population density: Number of individuals per unit area.

  • Population dispersion: How individuals are spaced (clumped, uniform, random).

  • Population growth models:

    • Exponential growth:

    • Logistic growth:

  • Carrying capacity (K): Maximum population size an environment can support.

  • Density-dependent vs. density-independent factors.

• Example: Disease spread is density-dependent; weather events are density-independent.

Life History

Life history traits include patterns of growth, reproduction, and survival that influence population dynamics.

• Key Points:

  • Survivorship curves (Type I, II, III): Graphs showing the proportion of individuals surviving at each age.

  • Trade-offs between reproduction and survival.

• Example: Humans have a Type I survivorship curve; many fish have a Type III curve.

Species Interactions

Species interact in various ways, shaping community structure and ecosystem function.

• Types of Interactions:

  • Competition: Both species are harmed.

  • Predation: One species benefits, the other is harmed.

  • Mutualism: Both species benefit.

  • Commensalism: One benefits, the other is unaffected.

  • Parasitism: One benefits, the other is harmed.

• Key Terms: Niche, resource partitioning, trophic structure, keystone species, foundation species.

• Example: Bees pollinating flowers (mutualism); wolves preying on deer (predation).

Trophic Structure and Food Webs

Trophic structure describes the feeding relationships among organisms in an ecosystem.

• Key Points:

  • Food chain: Linear sequence of energy transfer.

  • Food web: Complex network of interconnected food chains.

  • Trophic levels: Producers, primary consumers, secondary consumers, tertiary consumers.

  • Energy transfer efficiency: Only about 10% of energy is transferred to the next trophic level.

• Example: Grass → grasshopper → frog → snake → hawk.

Disturbance and Succession

Disturbances (e.g., fire, storms) can alter community structure, leading to ecological succession.

• Primary succession: Occurs in lifeless areas (e.g., after a volcanic eruption).

• Secondary succession: Occurs in areas where a disturbance has destroyed a community but left the soil intact.

• Intermediate disturbance hypothesis: Moderate levels of disturbance foster greater diversity than low or high levels.

Biogeochemical Cycles

Biogeochemical cycles describe the movement of elements through living and nonliving components of ecosystems.

• Key Cycles:

  • Water cycle

  • Carbon cycle

  • Nitrogen cycle

  • Phosphorus cycle

• Example: Plants absorb CO2 during photosynthesis; animals release CO2 during respiration.

Introduction to Microscopes

Microscopes are essential tools for observing small biological specimens.

• Types: Dissecting microscope (for larger, opaque specimens); compound microscope (for thin, transparent specimens).

• Key Points:

  • Know when to use each type based on observational needs.

  • Understand the DOs and DON'Ts of microscope use (e.g., proper handling, focusing techniques).

Hypothesis Testing and Data Analysis

Hypothesis testing is a fundamental part of scientific research, involving the formulation and testing of predictions.

• Key Steps:

  1. Differentiate between a hypothesis and a prediction.

  2. Identify variables in an experiment (independent, dependent, controlled).

  3. Translate a prediction into a testable hypothesis.

  4. Analyze data using statistical tests (e.g., t-test, ANOVA).

  5. Interpret p-values and statistical significance.

  6. Summarize results in a written scientific report.

• Example: Testing whether a new drug lowers blood pressure compared to a placebo.

Summary Table: Types of Species Interactions

Additional info:

• Students should review all assigned readings, figures, and additional resources (videos, links) as referenced in the exam guide.

• Practice interpreting data and figures, as well as applying concepts to new scenarios.

• Forming study groups is recommended for collaborative learning and clarification of complex topics.