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Full-Text Articles in Life Sciences
Complexity Is Complicated And So Too Is Comparing Complexity Metrics—A Response To Mikula Et Al. (2018), William D. Pearse, Ignacio Morales-Castilla, Logan S. James, Maxwell Farrell, Frédéric Boivin, T. Jonathan Davies
Complexity Is Complicated And So Too Is Comparing Complexity Metrics—A Response To Mikula Et Al. (2018), William D. Pearse, Ignacio Morales-Castilla, Logan S. James, Maxwell Farrell, Frédéric Boivin, T. Jonathan Davies
Ecology Center Publications
In a recent publication (Pearse et al. 2018b), we explored the macroevolution and macroecology of passerine song using a large citizen science database of bird songs and powerful machine learning tools. Mikula et al. (2018) examine a small subset (
Global Macroevolution And Macroecology Of Passerine Song, William D. Pearse, Ignacio Morales-Castilla, Logan S. James, Maxwell Farrell, Frédéric Boivin, T. Jonathan Davies
Global Macroevolution And Macroecology Of Passerine Song, William D. Pearse, Ignacio Morales-Castilla, Logan S. James, Maxwell Farrell, Frédéric Boivin, T. Jonathan Davies
Ecology Center Publications
Studying the macroevolution of the songs of Passeriformes (perching birds) has proved challenging. The complexity of the task stems not just from the macroevolutionary and macroecological challenge of modeling so many species, but also from the difficulty in collecting and quantifying birdsong itself. Using machine learning techniques, we extracted songs from a large citizen science dataset, and then analyzed the evolution, and biotic and abiotic predictors of variation in birdsong across 578 passerine species. Contrary to expectations, we found few links between life‐history traits (monogamy and sexual dimorphism) and the evolution of song pitch (peak frequency) or song complexity (standard …