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Plant morphology reflects evolutionary solutions to environmental constraints. In this experiment, students use this principle to predict the climate at their site. They collect and measure a set of traits on local tree leaf samples during the first meeting. At the following meeting(s), they pool their data and are introduced to a global database of climate and leaf morphology. In groups, they create regressions across sites and use their leaf data to predict mean annual temperature, which they compare to long-term observations from a local weather station. The experiment emphasizes quantitative analysis, data synthesis, and ecological responses to climate.
Associated files
Format
Resource Group TIEE
Resource Group Link https://ecoed.esa.org/index.php?P=SearchResults&F46=TIEE
Primary or BEN resource type
General Biology Core Concepts
Discipline Specific Core Concepts
General Biology Competencies
Life science discipline (subject)
Keywords leaves, adaptation, temperature
Audience
Intended End User Role
Language
Educational Language
Pedagogical Use Category
Pedagogical Use Description This experiment may be used to illustrate quantitative analysis, data synthesis, and ecological responses to climate.
Aggregation Level
Structure
Url http://tiee.esa.org/vol/v9/experiments/berdanier/abstract.html
Full Name of Primary Author Aaron B. Berdanier
Primary Author Controlled Name
Primary Author Affiliation Duke University
Primary Author email aaron.berdaier@gmail.com
Added By Id
  • ecoeddl
Rights Copyright 2013, Aaron B. Berdanier and the Ecological Society of America
License
Publisher
Review type
Drought and Water Ecosystem Services Collection Off
Conservation Targets Under Global Change Collection Off
Big Data Collection Off
Editors Choice No
Resource Status
Date Of Record Submission 2013-10-09
I Agree to EcoEdDL's Copyright Policy & Terms of Use No
Date Of Record Release 2013-10-09 08:53:57
Last Modified By Id
  • educationintern
Date Last Modified 2018-07-30 10:42:36
Release Flag Published

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