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Asm2018 4 y.yang
1. Using uncertainty analysis to provide
sampling guidance in monitoring fish and
loons for mercury pollution
Yang Yang1*, Ruth Yanai1, Charley Driscoll2,
Geoffrey Miller2, Nina Schoch3, David Evers4
State University of New York-ESF1, Syracuse University2
Adirondack Center for Loon Conservation3,
Biodiversity Research Institute4
4. Adirondack Loon Monitoring Program
111 lakes
from 1998 to current
https://www.google.com/search?rlz
&q=loon&oq=loon&gs_l=
https://www.google.com/search
5. Calculation of minimum detectable changes
Minimum detectable change (MDC):
A statistical estimate of the smallest amount of change that
can be significantly detected
EPA Technical Memorandum #3
6. Calculation of minimum detectable changes
A. Detecting a change between two points of a time
Two sample t-test
Paired t-test
B. Detecting changes over a time series
43 resurveyed lakes in 2000s vs. 2010s
111 lakes from 1998 to 2016
7. MDCs using paired/two sample t-test
N = sample size
S2 = pooled variance
Z = standard normal probabilities
Objectives: how many lakes do we need?
Resurveyed
43 lakes 2000s vs. 2010s
9. Changes over time
N = number of years
CV = temporal variation
T = the test statistic of the T-test
Objectives: how many lakes per year and how many years?
111 lakes from 1998 to 2016
a. for 5-25 lakes and 5-20 years
Resampling from 886 observations
CV = temporal variation
b. with 5000 iterations
10.
11. Other methods of uncertainty analysis
Statistical programsPower analysis
‘fishmethods’ package (Nelson 2015) in R
Green, P., and MacLeod, C. J. 2016.
SIMR: an R package for power
analysis of generalized linear mixed
models by simulation. Methods in
Ecology and Evolution. 7: 493-498
Fitting GLM model
Setting a changing rate
Adjusting sample size