The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

LeBauer, David S, Dan Wang, Katherine Richter, Carl Davidson, and Michael C Dietze (2013). Facilitating feedbacks between field measurements and ecosystem models. Ecological Monographs. doi:10.1890/12-0137.1

Wang, Dan, David S LeBauer, and Michael C Dietze (2013). Predicting yields of short-rotation hybrid poplar (Populus spp.) for the contiguous US through model-data synthesis. Ecological Applications doi:10.1890/12-0854.1

Dietze, Michael C, David S LeBauer, and Rob Kooper (2013). On improving the communication between models and data. Plant, Cell, & Environment doi:10.1111/pce.12043

Dietze, Michael C, Shawn P Serbin, Carl Davidson, Ankur R Desai, Xiaohui Feng, Ryan Kelly, Rob Kooper, David LeBauer, Josh Mantooth, Kenton McHenry, Dan Wang (2014) A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes. Journal of Geophysical Research: Biogeosciences 119, no. 3 (2014): 286-300.

Viskari, Toni, Brady Hardiman, Ankur R. Desai, and Michael C. Dietze. (2015) Model-data assimilation of multiple phenological observations to constrain and predict leaf area index. doi:10.1890/14-0497.1

Shiklomanov. A, MC Dietze, T Viskari, PA Townsend, SP Serbin. (2016) Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach to RTM inversion. Remote Sensing of the Environment 183: 226-238

LeBauer, David S, Rob Kooper, Patrick Mulrooney, Scott Rohde, Dan Wang, Stephen P Long, & Michael C Dietze (2018). BETYdb: a yield, trait, and ecosystem service database applied to second generation bioenergy feedstock production. GCB Bioenergy, 10(1), 61-71. doi: 10.1111/gcbb.12420