Power analyses(e.g. to determine optimal sample
sizes): a priori, post hoc, compromise.
morphometry, impact studies, e.g. before-after control-impact studies, alpha-diversity indices (Simpson, Evenness, Shannon), beta-diversity indices (Bray-Curtis, Jaccard), home ranges,
distance correction, survival rates, mark-recapture studies, Cormack-Jolly-Seber models, analysis of tracking/logger data using point process models (PPMs), integrates Step Selection Analysis
(iSSA) or Hidden Markov Models (HMMs).