Rankings of N-mixture models for each regulation history.

Rankings were stratified into model sets comparing 1) lek-specific variables describing lambda (λ) or instantaneous growth rate (r) and equilibrium abundance (K; top five models reported), and 2) top-lek specific variable model with addition of population specific variables (hunting regulation) on r or λ (top five models reported). Base population dynamics of no trend, trend (exponential growth), and density-dependence (Gompertz [Gomp] and Ricker [Rick]), weather effects on r, and detection covariates were selected prior to comparison of lek and population specific variables. Male count data were collected throughout the western U.S. and southern Alberta and Saskatchewan, Canada from 1995–2013.

本研究将模型排名划分为两类模型集开展比较：1）针对求偶场（lek）特有变量的模型集，用于描述周限增长率（λ，lambda）或瞬时增长率（r）与平衡多度（K），共报告排名前五的模型；2）以最优求偶场特有变量模型为基础，加入种群层面特有变量（狩猎管制，hunting regulation）以分析其对r或λ的影响，同样报告排名前五的模型。在开展求偶场与种群特有变量的比较分析前，已预先选定以下基础种群动态模型：无趋势模型、指数增长趋势模型、密度依赖模型（冈珀茨（Gompertz）模型与里克（Ricker）模型）、对瞬时增长率r存在影响的天气效应模型，以及检测协变量（detection covariates）模型。1995年至2013年，研究人员在美国西部以及加拿大阿尔伯塔省南部、萨斯喀彻温省南部收集了雄鸟计数数据（male count data）。