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

David LeBauer; Michael Dietze; Rob Kooper; Alexey Shiklomanov; Betsy Cowdery; Istem Fer; Anthony Gardella; Ben Bond-Lamberty; Shawn P. Serbin; Ann Raiho; Anne Thomas; Chris Black; James Simkins; Ankur Desai; Joshua Mantooth; Aman Kumar; Liam Burke; Afshin Pourmokhtarian; Christy Rollinson; Shubham Agarwal; Brady Hardiman; Martin De Kauwe; Eugene; Tess McCabe; Katie Ragosta; Tony Cohen; zhangwenx; Tony Viskari; Yan Zhao; Jing Xia


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    <dct:title>The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.</dct:title>
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    <dct:description>The PEcAn project is supported by the National Science Foundation (ABI #1062547, ABI #1458021, DIBBS #1261582, ARC #1023477, EF #1318164, EF #1241894, EF #1241891, EF #1501873, EF #1638577, EF #1702996), NASA Terrestrial Ecosystems #NNX14AH65G, NASA CMS #80NSSC17KO711, NASA NESSF #NNX16AO13H, the Department of Energy (ARPA-E awards #DE-AR0000594, #DE-AR0000598, and #SERDP RC-2636), the Energy Biosciences Institute, and an Amazon AWS in Education Grant.</dct:description>
    <dct:description>{"references": ["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, &amp; 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, &amp; 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"]}</dct:description>
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