Blog Post 4: Sampling Strategies

For the Mohn Mill sampling sites, I used area-based sampling. Of the three sampling strategies, systematic sampling was the most efficient method (12 hours 35 minutes), followed by haphazard or subjective sampling (12 hours 40 minutes) and then finally simple random sampling (12 hours 58 minutes). The haphazard sampling method produced a Shannon-Weiner Diversity index of 1.8 which was the same as the actual data.

 

  Systematic Simple Random Haphazard
Red Maple 3.89% 3.22% 0.92%
White Oak 24.83% 6.31% 32.89%
Chestnut Oak 37.27% 35.71% 25.69%
Witch Hazel 9.55% 81.39% 11.17%
Red/black oaks 5.78% 1.93% 7.07%
Eastern hemlock 21.05% 119.3% 91.89%
Black tupelo 88.73% 41.41% 29.58%
White pine 56.25 100% 62.5%
Downy juneberry 21.21% 16.16% 16.16%
Striped maple 100% 69.12% 38.97%
Hawthorn 11.11% 6.67% 177.78%
Black cherry 100% 100% 180%
Sweet birch 100% 100% 100%
American Basswood 100% 100% 100%
Yellow birch 100% 100% 100%
White ash 100% 100% 937.5%

 

If we compare the percentage errors for the two most common species (in blue) and the two most rare species (in red) we can see that you get a much higher error rate for the rare species, in this case none of the sampling methods I used found any Yellow birch and  haphazard sampling overestimated White ash density. The systematic sampling was more accurate for the more common species, but sometimes random sampling had a lower percentage error with no clear pattern.  The results of this show that haphazard sampling may capture more types of trees, but not the relative abundance.

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