作者: JENNIFER J. BARG , JASON JONES , RALEIGH J. ROBERTSON
DOI: 10.1111/J.1365-2656.2004.00906.X
关键词: Sample (statistics) 、 Utilization distribution 、 Kernel method 、 Geography 、 Sample size determination 、 Sampling (statistics) 、 Estimator 、 Kernel (statistics) 、 Selection (genetic algorithm) 、 Statistics 、 Ecology
摘要: Summary 1. The goals of this study were to investigate the possibility using kernel techniques estimate male breeding territory size and delineate core areas, focusing on a small nontransmitter bearing bird, cerulean warbler. We then compared performance estimators with traditionally used minimum convex polygons (MCP). 2. Given lack consistent across-male sample size‐area relationship, we opted use each male’s full set locations in calculation rather than standardizing across males. 3. All collected for biologically independent though statistically autocorrelated. Subsampling did not achieve independence even at time intervals far exceeding biological independence. 4. physical space bounded by MCP methods differed drastically certain cases, especially situations where there large areas within that never visited during our data collection sessions. 5. Kernel estimation more accurate informative warblers. suggest evenly sampling individuals relevant manner strictly defined period is important individuals. Furthermore, regimes can safely be guided vs. statistical timelines. 6. Avian biologists should consider as an option habitat selection studies boundary crucial.