To get us started on scientific sampling techniques, Dr. Robertson and
Dr. Livdahl set up a "population" of poker chips of which there were
four species: red, blue, white, and green. In the survey area
there were also clumps of native "knotted wrack" which were represented
by mop heads. Among this native species, the populations of star
shaped stickers could be found in three color morphs which included
red, silver, and blue.
Purpose:
To practice sampling techniques on a mock landscape and to determine if
the populations were reandomly distributed or if there were trends in
their distribution.
Null Hypothesis: All of the species found in the study site were randomly distributed.
Altenative Hypothesis: Species found within the study site prefer certain enviroments and are not randomly distributed.
Methods:
Two sites were sampled for population data. Several sampling
methods were used to determine the distribution of the different
species present. Two sites were studied: a left side site and a
right side site (in relation to the Lasry Biology Building).
First a 20 meter transect tape was placed
through the study sites. Quadrat studies were the easiest and most
random sampling technique. Using this method a square
quadrat with an area of 0.286 square meters was placed on the
right side
of the measuring tape transect every meter. The organisms within
the quadrat and those that touched the quadrat edge were counted in the
population census. The number of individuals in each quadrat were
recorded for both study sites. Another method was used which was
called the band transect method. This involved walking down the
transect line using a meter long pole to mimic the edges of our
eyesight so that only the organisms we could see would be counted.
Individuals were surveyed in one meter increments. The
final method used was the point intercept method which simply counted
the number of individuals touching the transect every 0.5 meters.
This method was the least useful due to the wide distribution of
the poker chips and was not used in the data analysis.
Results and Data Analysis can be found here