Robert P. Anderson, Ph.D.

Undergraduate Ecology and Evolution laboratory course

ARCHIVE: Spring 2004

 

Look at the natural world with a critical eye: Ecology and Evolution

 

Biology 228, Ecology and Evolution

For the Spring 2004 semester, Professor Jane Gallagher coordinated Biology 228 (including teaching the lecture).  I taught the laboratory section.

 

Overview of labs:

Lab 1: Maps and community analysis

Learn to read topographic maps, calculate basic indices of community composition (with data for tree species), understand zoning regulations.

Lab 2: Field trip to Inwood Hill Park

See natural communities (in Manhattan!) and their association with human-caused and natural disturbances, geological factors, and climatic factors.

Students in Inwood Hill Park, at top of sheltered valley between two ridges of Manhattan Schist, the same geological formation that underlies City College.

 

Lab 3: Introduction to Excel; simulations of exponential and logistic growth

Become familiar with spreadsheet programs, run simulations of geometric growth (discrete generations), exponential growth (density-independent), and logistic growth (density-dependent).

Students use formulas in Excel to explore growth equations.

 

Lab 4: Yeast experiment

Grow yeast in various concentrations of molasses; take indirect and direct measures of growth over the next week. 

Lab 5: Statistical analyses of yeast lab

Conduct various statistical analyses of the data collected from yeast lab (average and standard deviation of the carbon dioxide produced per day; plot cumulative values of growth and compare with predictions of growth models).

 

Students count yeast cells under microscope.

 

Lab 6: Dispersion analysis

Randomly sample quadrats of three simulated species; calculate descriptive statistics to characterize their dispersion patterns (random, clumped, uniform); use chi-square tests to test the null hypothesis of a random distribution. 

Lab 7: Sampling and confidence intervals

Learn concepts of random sampling and measures of the confidence of estimates (such as a sample mean) derived from such samples; calculate 95% confidence intervals for the means from the yeast data.

 

EXAM 1 (material from Lab 1-6)

 

Lab 8: Regression

Learn about relationships among two continuous variables (e.g., correlation and regression); introduction to patterns of isometry and allometry and their graphical expectations in arithmetic and logarithmic space; collect and analyze data on bones.

Lab 9: Genetics lab 1

Review gene, locus, allele, genotype, and phenotype; conduct simulations of unlinked loci; discuss and analyze the use of genetic data in forensic analyses.

 

SPRING BREAK!

 

Lab 10: Genetics lab 2

Learn concept of genetic drift; conduct simulations to understand the role of sample size, initial allele frequencies, natural selection (relative fitness coefficients) in the context of genetic drift and neutral evolution; conduct experiments to determine whether various genes and traits are independent, linked, or sex-linked using VirtualFly program.

Lab 11: Self-guided field trip at American Museum of Natural History

Understand the use of systematic theory and cladistic methodology to elucidate the evolutionary relationships among organisms (and classify them); learn major events in vertebrate evolution.

Lab 12: Systematics

Conduct sample phylogenetic analyses.

Lab 13: Field trip to Van Cortlandt Park

See and learn to identify local trees and birds in the Bronx. Discuss pollination and dispersal syndromes in plants. Observe and discuss wetlands. (The class would especially like to thank Professor Amy Berkov, who accompanied us on the field trip!)

 

Students Van Cortlandt Park in the Bronx, in front of a wetland with both native and invasive plant species.

Download a PowerPoint presentation with images from our field trip

 

LAB FINAL EXAM (material from Lab 7-13)

 

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R. P. Anderson
Copyright © 2004.

All photographs by RPA


Last modified: 8 April 2005 (RPA)