Quantifying individual variation in reaction norms: mind the residual
收藏DataONE2019-12-30 更新2025-06-21 收录
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Phenotypic plasticity is a central topic in ecology and evolution. Individuals may differ in the degree of plasticity (individual-by-environment interaction (IÃE)), which has implications for the capacity of populations to respond to selection. Random regression models (RRMs) are a popular tool to study IÃE in behavioural or life-history traits, yet evidence for IÃE is mixed, differing between species, populations, and even between studies on the same population. One important source of discrepancies between studies is the treatment of heterogeneity in residual variance (heteroscedasticity). To date, there seems to be no collective awareness among ecologists of its influence on the estimation of IÃE or a consensus on how to best model it. We performed RRMs with differing residual variance structures on simulated data with varying degrees of heteroscedasticity and plasticity, sample size and environmental variability to test how RRMs would perform under each scenario. The residual struct...
创建时间:
2025-06-16



