eLife Assessment
This study introduces a valuable new metric-phenological lag-to help partition the drivers of observed versus expected shifts in spring phenology under climate warming. The conceptual framework is clearly presented and supported by an extensive dataset, and the revisions have improved the manuscript, though some concerns-particularly regarding uncertainty quantification, spatial analysis, and modeling assumptions-remain only partially addressed. The strength of evidence is generally solid, but further analysis would help to validate the study's conclusions.