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

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Authors: David Shaner LeBauer, Michael C. Dietze, Rob Kooper, Alexey Shiklomanov, Betsy Cowdery, Hamze Dokoohaki, Istem Fer, Anthony K. Gardella, Luke Dramko, Ayush Pradad, Shashank Singh, T. C. JAIN
+31 more Alexis Helgeson, B. Bond-Lamberty, Shawn Paul Serbin, Ann Raiho, Tezan Sahu, Mukul Maheshwari, Anne E. Thomas, Chris Black, James Simkins, Ankur Rashmikant Desai, Joshua A. Mantooth, Aman Kumar, Liam Burke, Afshin Pourmokhtarian, Christy Rollinson, Shubham Agarwal, Brady Hardiman, Martin G. De Kauwe, Eugene, Tess McCabe, Katie Ragosta, Tony Cohen, zhangwenx, Tony Viskari, Yan Zhao, Jing Xia, Eric R. Scott, Harunobu Ishii, Quentin Bell, Akash BV, Aritra Dey
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Abstract

The Predictive Ecosystem Analyzer (PEcAn) (see pecanproject.org) is an integrated ecological bioinformatics toolbox (Dietze et al 2013, LeBauer et al, 2013) that consists of: 1) a scientific workflow system to manage the immense amounts of publicly-available environmental data and 2) a Bayesian data assimilation system to synthesize this information within state-of-the-art ecosystems models. This project is motivated by the fact that many of the most pressing questions about global change are not necessarily limited by the need to collect new data as much as by our ability to synthesize existing data. This project seeks to improve this ability by developing a accessibe framework for integrating multiple data sources in a sensible manner.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 January 2026