Methods: We compiled the largest geo-located dataset of marine fish egg size (diameter) to date (n51,078 observations; 192 studies; 288 species; 242 localities). We decomposed sea surface temperature (SST) and… Click to show full abstract
Methods: We compiled the largest geo-located dataset of marine fish egg size (diameter) to date (n51,078 observations; 192 studies; 288 species; 242 localities). We decomposed sea surface temperature (SST) and chlorophyll-a time series into mean and predictability (seasonality and colour of environmental noise – i.e. how predictable the environment is between consecutive time steps), and used these as predictors of egg size in a Bayesian phylogenetic hierarchical model. We test four specific hypotheses based on the classic discussion by Rass (1941), as well as contemporary life-history theory, and the conceptual model of Winemiller and Rose (1992).
               
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