2017 ESA Annual Meeting (August 6 -- 11)
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COS 95 - Statistics

Wednesday, August 9, 2017: 8:00 AM-11:30 AM
C122, Oregon Convention Center
8:00 AM
COS 95-1
Log(arithms) are confusing, but we consume them like a band of beavers: Findings from a survey of ecologists and a meta-analysis
Duncan Menge, Columbia University; Anna C. MacPherson, American Museum of Natural History; Thomas A. Bytnerowicz, Columbia University; Andrew W Quebbeman, Columbia University; Naomi B. Schwartz, Columbia University; Benton Taylor, Harvard University; Amelia Wolf, Columbia University
8:20 AM
COS 95-2
Using functional data analysis to analyze series data
James H. Power, U.S. EPA
8:40 AM
COS 95-3
Apples-to-apples in a fruit-salad science: Why ecologists should disattenuate to assess explanatory and predictive power
Eric M. Schauber, Southern Illinois University
9:00 AM
COS 95-4
Particle filtration for the conservation biologist
Joseph L. Simonis, DAPPER Stats; Steven C. Zeug, Cramer Fish Sciences; Kai Ross, Cramer Fish Sciences
9:20 AM
COS 95-5
Bias in ecological meta-analyses
Elizabeth A. Hamman, University of Georgia; M. Pappalardo, Smithsonian National Museum of Natural History; James R. Bence, Michigan State University; Scott Peacor, Michigan State University; Craig W. Osenberg, University of Georgia
9:40 AM
COS 95-
Break
9:50 AM
COS 95-6
A sampling strategy designed to maximize the efficiency of data collection of food web relationships
Kristen E. Sauby, University of Florida; Mary C. Christman, MCC Statistical Consulting LLC
10:10 AM
COS 95-7
Spectral analysis of sparse data via generalized local harmonic regression
Timothy H. Keitt, The University of Texas at Austin; Nathaniel Pope, University of Texas at Austin; Alison Northup, University of Texas at Austin
10:30 AM
COS 95-8
Ignoring sampling design biases mixed-effects models for resource selection
Elizabeth L. Ng, University of Washington; Timothy R. Johnson, University of Idaho
10:50 AM
COS 95-9
The effects of intraspecific trait variation in assessing community trait-environment relationships: Problems and solution
Louis Donelle, Concordia University; Pedro R. Peres-Neto, Concordia University
11:10 AM
COS 95-10
Evaluating productivity predictions under elevated CO2 conditions: Multi-model benchmarking across FACE experiments
Elizabeth Cowdery, Boston University; Michael C. Dietze, Boston University
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