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Using Owl Pellet Analysis to Explore Space Use and Productivity
Laboratory exercise to teach undergraduates about factors determining territory size. It begins with dissecting owl pellets and leads students through a series of calculations. A key theme is the ability to make and defend valid estimations.
Publisher: EcoEd Digital Library
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Case Study on Mark and Recapture
Estimating the population size of animals is an important task for wildlife biologists, who can use the data to assess the health of a population. It requires diligent observation skills coupled with the ability to use empirical models that effectively determine the number of animals based on field surveys. The most common method for estimating the population size of animals is mark and recapture....
Publisher: EcoEd Digital Library
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4DEE Activity - Estimation of Animal Population Size
This activity is a lab exercise that teaches students how to estimate animal population size. It covers two main techniques: Mark and Recapture (MR) and Capture Per Unit Effort (C/UE). The MR methods include the Lincoln-Petersen and the Schumacher-Eschmeyer approaches. Three approaches for the C/UE method are also included. This exercise is aligned with the Ecological Society of America's Four...
Publisher: EcoEd Digital Library
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Effects of Intraspecific Competition on Plants
This lab exercise examines the effect of density on the survival and growth of plant populations. Students examine a variety of parameters in experimental populations of radish plants grown at different densities. They evaluate their findings against the Law of Final Constant Yield and the Reciprocal Yield Law. This exercise follows the Four Dimensional Ecology Education (4DEE) framework...
Publisher: EcoEd Digital Library
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Year to year variability in survivorship for the summer annual Erucastrum gallicum
This figure shows survivorship curves for spring cohorts of the summer annual plant Erucastrum gallicum (Brassicaceae) growing in the Jamesville Quarry, Syracuse, NY. It shows how survivorship varies markedly from year to year, due mainly to variability in rainfall. Survivorship approximated a Deevey Type I function in 1976, a year with abundant rain. Survivorship followed a Type III pattern in...
Publisher: EcoEd Digital Library
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