We developed an easy-to-manage ecosystem modeling framework using R to facilliate hypothesis testing, model-data fusion, and ecological forecasting.

We intercompared LSP with 3, 30, and 500 m resolutions and found that Land cover heterogeneity measured via entropy explains cross-scalar agreement.

Modeling field phenology observations may not reveal the importance of chilling.

We found maximum leaf greenness affects global vegetation productivity more than green leaf derived growing season length.

A novel model to produce long-term gap-free land surface phenology data at 30 m spatial reolution with pixel-wise uncertainty.

Spring leaf phenology is correlated with stem growth in managed forests.