Using uncertainty analysis to provide sampling guidance in

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Using uncertainty analysis to provide sampling guidance in monitoring fish and loons for mercury

Using uncertainty analysis to provide sampling guidance in monitoring fish and loons for mercury pollution Yang 1*, Ruth Yanai 1, Charley Driscoll 2, Geoffrey Miller 2, Nina Schoch 3, David Evers 4 State University of New York-ESF 1, Syracuse University 2 Adirondack Center for Loon Conservation 3, Biodiversity Research Institute 4

https: //www. google. com/search? q=no+fishing+mercury+sign&rlz=1 C 1 CHZL_en. U S 732 US 732&source=lnms&tbm=isch&sa=X&ved=0 ah.

https: //www. google. com/search? q=no+fishing+mercury+sign&rlz=1 C 1 CHZL_en. U S 732 US 732&source=lnms&tbm=isch&sa=X&ved=0 ah. UKEwi. Esa. DBxqja. Ah. UCsl MKHfl. QDt. QQ_AUICyg. C&biw=1366&bih=662#imgrc=DF 16_FEya. NFOQM:

Adirondack Fish Monitoring Program Long-term 106 lakes 1992 -2016 Resurveyed 43 lakes 2000 s

Adirondack Fish Monitoring Program Long-term 106 lakes 1992 -2016 Resurveyed 43 lakes 2000 s vs. 2010 s

Adirondack Loon Monitoring Program 111 lakes from 1998 to current https: //www. google. com/search?

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

Calculation of minimum detectable changes Minimum detectable change (MDC): A statistical estimate of the

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

Calculation of minimum detectable changes A. Detecting a change between two points of a

Calculation of minimum detectable changes A. Detecting a change between two points of a time Paired t-test 43 resurveyed lakes in 2000 s vs. 2010 s Two sample t-test B. Detecting changes over a time series 111 lakes from 1998 to 2016

MDCs using paired/two sample t-test Resurveyed Objectives: how many lakes do we need? 43

MDCs using paired/two sample t-test Resurveyed Objectives: how many lakes do we need? 43 lakes 2000 s vs. 2010 s Z = standard normal probabilities N = sample size S 2 = pooled variance

MDCs varied by species

MDCs varied by species

Changes over time 111 lakes from 1998 to 2016 Objectives: how many lakes per

Changes over time 111 lakes from 1998 to 2016 Objectives: how many lakes per year and how many years? Resampling from 886 observations a. for 5 -25 lakes and 5 -20 years b. with 5000 iterations N = number of years CV = temporal variation T = the test statistic of the T-test CV = temporal variation

Other methods of uncertainty analysis Power analysis Statistical programs ‘fishmethods’ package (Nelson 2015) in

Other methods of uncertainty analysis Power analysis Statistical programs ‘fishmethods’ package (Nelson 2015) in R Fitting GLM model Green, P. , and Mac. Leod, 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 Setting a changing rate Adjusting sample size

Acknowledgement Field and laboratory work Financial support The Raquette River Advisory Council The Wild

Acknowledgement Field and laboratory work Financial support The Raquette River Advisory Council The Wild Center And more and more…