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Introduction to extinctions and extinction bias


dc:contributor.author Price, Samantha
dc:contributor.author Schaeffer, Peggy
dc:contributor.author Thanukos, Anna
dc:date.accessioned 2012-06-15T15:03:34Z
dc:date.available 2012-06-15T21:06:00Z
dc:date.issued 2012-06-15
dc:identifier doi:10.5061/dryad.qc524/3
dc:identifier.uri http://hdl.handle.net/10255/dryad.40384
dc:description Students will be introduced to different factors that might affect extinction risk and will work with data on artiodactyls (even-toed, hoofed mammals, such as cows, sheep, deer, antelope, and giraffes) to investigate some of these hypotheses.
dc:format.extent Ideally 1.5 hours in lab or classroom (with possible extension activity as homework), but could also take the form of 15 minute introduction in lecture, plus homework assignment and 5 minute wrap-up discussion in lecture. Download file includes more information on adapting this activity for large lecture classes.
dc:relation.requires Classroom: <30 students (but modification is available for a large lecture course). Technology: one computer per student group (i.e., 10 for a class of 30), projector, internet access. Software: simple graphing/statistical package (Excel or Google spreadsheets works).
dc:rights.uri http://creativecommons.org/licenses/by/3.0/
dc:subject extinction
dc:subject data analysis
dc:subject graphing
dc:subject macroevolution
dc:subject ecology
dc:subject conservation
dc:title Introduction to extinctions and extinction bias
dc:type Activity *
dc:audience.educationLevel high school, AP high school, intro level undergrad biology
dryad:learningOutcome Students will understand that extinction risk is affected by both intrinsic (i.e., organismal) and extrinsic factors (e.g., environmental).
dryad:learningOutcome Students will recognize extinction as a macroevolutionary pattern.
dryad:learningOutcome Students will recognize that ecological and evolutionary studies often have practical applications.
dryad:learningOutcome Students will understand that hypotheses are tested by figuring out what expectations are generated by a hypothesis and making observations to find out whether those expectations are borne out.
dryad:learningOutcome Students will be able to examine a large dataset and select appropriate data for analysis to test a given hypothesis.
dryad:learningOutcome Students will be able to read and interpret a graph in relation to a hypothesis.
dryad:learningOutcome Students will understand that data generally exhibit variability and confounding factors.
dryad:learningOutcome Students will understand that science is ongoing and that investigating one scientific question frequently leads to additional questions to be investigated.
dryad:learningOutcome Students will understand that scientists look for patterns in their observations and data.
dryad:learningOutcome Students will understand that raw data must be analyzed and interpreted before we can tell whether a scientific idea is likely to be accurate or inaccurate.
dryad:learningOutcome Students will understand that analysis of data usually involves putting data into a more easily accessible format (visualization, tabulation, or quantification of qualitative data).
dryad:prerequisiteKnowledge Students should have some familiarity with the software package that will be used. Minimal familiarity with logarithms and regression analysis will be helpful.
dryad:instructorBackground Instructors should be familiar with extinction processes, factors that affect extinction risk, and basic statistics. Please see the Teacher background document in the download file for an introduction to the data set and topics that students will be investigating.
dryad:descriptionOfActivity 1) Introduction to extinction (15 minutes): Introduce students to the topics of background extinction, mass extinction, and extinction bias. If you wish you may, use the slide set available in the download file: the Extinction Bias slide set. Continued in download file . . .
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