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EREN PFPP Species Composition Curriculum Module with Data

Author(s): Jerald Dosch1, Erin Lindquist2, Karen Kuers3, Charles McClaugherty4, Kristine Hopfensperger5, Fernando Nieto6, Rachel Collins7, Tim Menzel8

1. Macalester College 2. Meredith College 3. The University of the South 4. University of Mount Union 5. Northern Kentucky University 6. SUNY Old Westbury 7. Roanoke College 8. Piedmont College

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Summary:
In this lab, students will learn foundational concepts of forest community dynamics and apply quantitative skills to data analysis and interpretation activities. Students will use tree plot data from the PFPP project database of EREN…

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In this lab, students will learn foundational concepts of forest community dynamics and apply quantitative skills to data analysis and interpretation activities. Students will use tree plot data from the PFPP project database of EREN (www.erenweb.org).
Contents:

Description

In this lab, students will learn foundational concepts of forest community dynamics and apply quantitative skills to data analysis and interpretation activities.  Students will use species data collected from four different forests in three states.  The data were generated from a shared method protocol (Kuers et al. 2014) and database of the Permanent Forest Plot Project (PFPP) of the Ecological Research as Education Network (EREN; www.erenweb.org). Here, students will analyze and interpret data to articulate forest species composition dynamics. This lab is designed to train students in real-world skills and experiences of a collaborative ecologist. More information is available at: http://erenweb.org/new-page/carbon-storage-project/permanent-plot-protocol/teacher-resources/

Intended Learning Outcomes include: (1) represent tree community data in graphic form, (2) Analyze species composition across multiple forests, and (3) articulate community composition dynamics

 

Notes

First version posted on 09/28/16. If users have feedback please send it to the lead author Rachel Collins at: rcollins@roanoke.edu .

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