Empirical ornithologists often analyse dispersal distance by histograms separately drawn for categories of individuals (e.g., sexes), and/or by linear models with normal distribution (e.g., ANOVA). However, theoreticians describe dispersal distance by dispersal kernels with various parametric distributions. Therefore, it is a helpful exercise for empiricists to estimate dispersal kernels from field data. As a model case for such an estimation, we analysed dispersal data of the Ryukyu Scops Owls Otus elegans using a Bayesian Weibull regression model. Estimated dispersal kernels showed that males and individuals fledged from late-breeding nests had short natal dispersal distances and that no factors affected breeding dispersal significantly.
How to translate text using browser tools
26 January 2023
Estimation of Condition-Dependent Dispersal Kernel with Simple Bayesian Regression Analysis
Akira Sawada,
Tetsuya Iwasaki,
Chitose Inoue,
Kana Nakaoka,
Takumi Nakanishi,
Junpei Sawada,
Narumi Aso,
Syuya Nagai,
Haruka Ono,
Ryota Murakami,
Masaoki Takagi
ACCESS THE FULL ARTICLE

Ornithological Science
Vol. 22 • No. 1
January 2023
Vol. 22 • No. 1
January 2023
Bayesian estimation
dispersal kernel
island
Otus elegans
Ryukyu Scops Owl