1. Field methods lab
Visual point count – Independent double observer method
Pairs of observers scan for colored targets representing different bird species
Map the location of each target on your datasheet
Compare datasheets with your partner after the count period
Match observations in common
For each “species” record the number of individuals seen by each observer and the number seen in common

3. 4 Species: Small Red = SR Large Red = LR Small Brown = SB
Large Brown = LB

4. Field methods lab Data Summary
Each pair of observers will summarize their double observer data on the data sheets provided and them to the TA as an Excel file by the end of day on Friday
For each “species” in each habitat
n1 (number of individuals seen by the first observer)
n2 (number of individuals seen by the second observer)
m2 (number of individuals seen in common)
The TA will compile the data and post it online with an Excel worksheet
Use the Lincoln-Petersen equations in the worksheet to estimate population size and detection probability for each “species” in each habitat

5. Field methods lab Example Data Species 1 Habitat n1 n2 m2 N V(N) p1 p2
Species 1
Habitat n1 n2 m2 N
V(N) p1 p2
Open Forest 8 6 4
11.6
3.36
0.67
0.5
Dense Forest 2
10.67
7.78
0.34
n1 = number of individuals seen by the first observer
n2 = number of individuals seen by the second observer
m2 = number of individuals seen by both observers
N = estimated population size
V(N) = variance of N
p1 = detection probability for observer 1
p2 = detection probability for observer 2

6. Field methods lab Write-up
A summary of your results, including average population estimate and detection probability for each species from each habitat
A comparison of your results to the true results, as well as to other members of the class
A discussion of the factors that affected your ability to detect "birds" on visual counts
Your thoughts about other factors that may affect detection probabilities on real point counts
~ 1-2 pages