Blog Post 6: Data Collection

My study transect followed a footpath through the park forest.  The segment of the path in the study area is roughly 200m so I decided that 20 stations at approximately 10m intervals would provide a good sample.  After recording weather conditions and time/date, I followed the following procedure at each interval.

  1. Note interval station in Excel.
  2. Record relative light level in Lux (3x)
  3. Measure horizontal distance from footpath to significant change in elevation (not part of the study but I thought it might be interesting to collect this data)
  4. Measure max height of vegetation 1m from path (again not intended to be part of the study)
  5. Photograph the vegetation in the area perpendicular to the footpath.

Additionally, I took ambient light readings in urban areas, open areas and under full forest canopy to establish data boundaries.

The sampling strategy was efficient and didn’t cause any problems.  I was able to take the light reading in quick succession so that the ambient light would be fairly consistent and not changed due to time-of-day variation.  The photographic data collection was not as time-sensitive because of the colour and luminosity calibration which I included in each image.

Although plant height was extraneous to this study, I determined that there was some correlation between light levels and plant height but I have not completed the image analysis to comment on the central thesis of this study.

Leave a Reply

Your email address will not be published. Required fields are marked *