Statistical Design & Analysis

 IER specializes in statistical design and analyses of terrestrial and aquatic ecosystems including:

  • Biological hypothesis driven mark-recapture and survival analysis to test hypothesis regarding factors affecting fish and wildlife population size, trend, and demography using information theoretic model selection  methods.
  • Spatially explicit mark-recapture methods to provide robust estimates of density , optimized sampling designs, and assess factors affecting broader scale distribution in sampled areas.
  • Habitat selection and occupancy models to determine resources most selected by wildlife species and assess trends in occupancy of habitats.
  • Survey design, stratification, and allocation of effort to optimize precision based on budgetary and logistical limitations.
  • Distance sampling and combination distance sampling-mark-recapture methods.
  • Analyses of covariance that allow testing of research or management hypotheses while controlling for other extraneous factors.
  • Data-driven population viability analysis to evaluate conservation and research strategies for bird and mammal species.  Stochastic modelling to assess the effect of variation on model predictions.
  • Power analyses based on pilot data or retrospective analyses.
  • Design and analyses of water quality & sediment monitoring projects.
  • Comparisons of macroinvertebrate communities to regional reference conditions
  • Before-After Control-Impact (BACI) Studies for robust estimation of impacts or perturbations.
  • Multivariate statistical techniques, such as principal component analysis, canonical correspondence, step-wise regressions, and other approaches.
  • Piecewise regression methods to estimate ecological thresholds.

Statistical analysis techniques

IER provides expertise in:

  • Descriptive & general analyses
  • Linear & non-linear models
  • Mixed models and generalized linear models
  • Multivariate analyses
  • Survival analyses
  • Randomization methods
  • Mark-recapture methods
  • Development of spatially explicit methods
  • Occupancy models
  • Distance sampling
  • Resource selection functions
  • Telemetry & home range estimation