Enhancing broad-scale prediction of flowering onset by incorporating spatial heterogeneity in heat accumulation threshold

Key Points

• Flowering onset predictions improve with spatial heterogeneity, enhancing model accuracy.
• Key evidence shows incorporating heat accumulation thresholds results in a significant predictive boost.
• Employing advanced prediction models allows for a deeper understanding of climate interactions.
• Findings highlight the importance of considering spatial variability in forecasting plant behavior.