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#1878, v1.0 Published:
#2220, v1.0 Published:

Title

Old VersionNew Version
1Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast 1Investigating human impacts on Southeastern US stream ecology using R

Authors

Old VersionNew Version
1Emily Weigel () 1Emily Weigel () 
  2Alicia Caughman (Georgia Institute of Technology) 
2Emily Weigel () 3Emily Weigel () 

Description

Old VersionNew Version
1<h2>ECOLOGICAL CONTENT</h2>  1<p><strong>Focus:</strong> The students will analyze indicators of stream health from across the United States&nbsp;by plotting data and performing descriptive statistics and linear regression.</p>
2  2  
3<p>Organic nutrients, land cover, biological indicators, macroinvertebrate index, stream ecosystem structure and function</p>  3<p><strong>Overview: </strong>This lesson centers around analyzing the correlation between different indicators of stream health. The students will complete a lesson in R to practice creating scatter plots and performing linear regression. Additionally, students will practice summarizing data, calculating outliers, and creating boxplots. They will apply the methods from prior lessons in the final lesson of the course to analyze stream data from Region 4, which contains Atlanta, more independently.&nbsp;</p>
4  4  
5<h2>WHAT STUDENTS DO</h2>  5<p>&nbsp;</p>
6  6  
7<ul>  7<p><strong>Learning objectives: </strong></p>
8   <li>Recall specific chemical, physical, and biological indicators of stream health</li>  8
9   <li>Calculate stream health using a biotic index</li>  9<table border="0" cellpadding="0" cellspacing="0" style="width:624px;" width="624">
10   <li>Compare local sites in terms of stream health</li>  10   <tbody>
11   <li>Plot stream health from different EPA regions using R</li>  11       <tr>
12   <li>Compare, contrast, and summarize patterns of stream health locally and nationally</li>  12           <td>
13</ul> 13           <ol>
   14               <li>Perform descriptive statistics and linear regression in R</li>
   15           </ol>
   16           </td>
   17       </tr>
   18       <tr>
   19           <td>
   20           <ol>
   21               <li value="2">Create boxplots and scatter plots of stream health data from different EPA regions.</li>
   22           </ol>
   23           </td>
   24       </tr>
   25       <tr>
   26           <td>
   27           <ol>
   28               <li value="3">Practice coding elements necessary to do basic R calculation operations and perform useful functions: summary(), abline(), lm(), quantile()</li>
   29           </ol>
   30           </td>
   31       </tr>
   32       <tr>
   33           <td>
   34           <ol>
   35               <li value="4">Compare, contrast, and summarize patterns of stream health locally and nationally</li>
   36           </ol>
   37           </td>
   38       </tr>
   39   </tbody>
   40</table>

Attachments

1 file — EmilyWeigel/Faculty Teaching Notes_v1.pdf 1 file — Stream Biodiversity and Function Lesson Plan.pdf
2 file — EmilyWeigel/Impact of Urban Storm Runoff Atlanta 1980 EPA report.pdf 2 file — Stream_Biodiversity_and_Function.swc
3 file — EmilyWeigel/Ivan Allen Papers_AHC_Proctor Creek.pdf 3 link — Investigating human impacts on stream ecology: locally and nationally (Abstract) | TIEE
4 file — EmilyWeigel/R Stream Script.R 4 file — EmilyWeigel/Impact of Urban Storm Runoff Atlanta 1980 EPA report.pdf
5 file — EmilyWeigel/streamdata.csv 5 file — EmilyWeigel/Ivan Allen Papers_AHC_Proctor Creek.pdf
6 file — EmilyWeigel/streamdata_faculty.xls 6 file — EmilyWeigel/streamdata.csv
7 file — EmilyWeigel/Student Handout_v1.docx 7 file — EmilyWeigel/Student Handout_v1.docx
8 link — Investigating human impacts on stream ecology: locally and nationally (Abstract) | TIEE