Virtual Forest Exercise

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The results of the three area based sampling strategies used in the virtual forest tutorial are summarized below.

 

Systematic Sampling (12 hours, 7 minutes):

 

Most Common Species Data Densities

Actual Densities

% Error
Eastern Hemlock 504.2

469.9

7.3
Sweet Birch 112.5

117.5

-4.3
Rarest Species
Chestnut Oak 66.7

87.5

-23.8
Red Maple 137.5

118.9

15.6

 

Random Sampling (12 hours, 42 minutes):

Most Common Species Data Densities

Actual Densities

% Error
Eastern Hemlock 504.2

469.9

7.3
Sweet Birch 137.5

117.5

17
Rarest Species
Striped Maple 41.7

17.5

138.3
White Pine 20.8

8.4

147.6

 

Haphazard (12 hours, 59 minutes):

Most Common Species Data Densities

Actual Densities

% Error
Eastern Hemlock 540

469.9

14.9
Sweet Birch 108

117.5

-8.1
Rarest Species
Red Maple 41.7

118.9

-64.9
Striped Maple 8

17.5

-54.3

Systematic sampling was the most accurate for both common and rare species. % error was quite higher for the rarer species for all three methods.

The most efficient technique timewise was systematic, followed by random, followed by haphazard. The time differences weren’t’ too dramatic, with a spread of only 52 minutes between the most and least efficient.

Considering how close to the actual data the sample was in the systematic method, it would seem to be a sufficient sample size to have a solid understanding of the species numbers and abundance of the common species. However, the rarer species would seem to require further sampling to get more representative data.

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