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Earthworks
Earth System Science for Secondary Teachers


Bob Stein
Squeeze@voicenet.com

South Park? - Nah! Naylor's Run Park: A study of species diversity and canopy cover in Naylor's Run.

Learning Objectives:

  • To gain an appreciation of the diversity of N.R.P. and what influences that diversity.
  • To observe and generate questions about N.R.P.
  • To create hypothesis about park diversity
  • To understand the impact of various factors (location, light, moisture, etc.)

Where:

  1. Naylor's Run Park adjacent to Upper Darby High School, Upper Darby, PA.
  2. Four locations:
  • Upland forest slope, facing SE, heavily forested,
  • Upland forest slope, facing NE, heavily forested,
  • Wet bottom land forest, ~ NW, forest and wetland, stream,
  • Dry upland slope, SW facing, forest and open areas.

Who: Environmental science, 11-12 grade, ~25-20 students.

What:

  1. Each park section will be studied by 3-4 groups of 2-3 students/group.
  2. After introduction to field methods, groups can choose method to use (transect, quad., veg. Survey, canopy cover).
  3. Groups will visit their assigned section, make general observations, and generate questions and hypotheses.
  4. Each area will be surveyed for the following
  • Canopy cover - %
  • Vegetative cover - % (grass, forbs, shrub, trees)
  1. Students will input data and analyze/graphically represent data.
  2. Students will generate individual summaries/conclusions.

When:

  • September 2002, for 2 weeks, and about 8 visits to the site.
  • May 2003, for 2 weeks, and about 8 visits to the site.

Potential Barriers:

  1. Computer availability for analysis,
  2. Student anxiety

Possible Strategies:

  1. Assign students to input data at home, during study hall and bring back to observe in class,
  2. Keep data analysis simple, look at overall raw data, and generate graphs manually.
  3. Prepare students for open-ended approach with various activities, small inquiry-based activities/labs.

Extensions:

  • Use with GIS,
  • Long term study to look at changes over time,
  • Service learning: how can this data help community manage parks, streets, etc.