A schematic conceptual framework for global biogeochemical modeling from environmental, imaging, and meta-omics data (Sunagawa et al., 2015). A semi-automatic computational pipeline is schematized for combining biomarkers with biogeochemical data (Guidi et al., 2016) that can be incorporated into classic biogeochemical models (Guyennon et al., 2015) for creating a next generation of biogeochemical trait-based meta-omics models by considering their respective traits. Such novel meta-omics-enabled approaches aim to improve the monitoring and prediction of ocean processes while respecting the complexity of the planktonic system. For more information, see Louca et al. (2016) and Coles et al. (2017).

The biogeochemical model is taken from [1]

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• Guidi, L., Chaffron, S., Bittner, L., Eveillard, D., Larhlimi, A., Roux, S., et al. (2016). "Plankton networks driving carbon export in the oligotrophic ocean". Nature, 532: 465–470. doi:10.1038/nature16942.
• Guyennon, A., Baklouti, M., Diaz, F., Palmieri, J., Beuvier, J., Lebaupin-Brossier, C., et al. (2015). "New insights into the organic carbon export in the Mediterranean Sea from 3-D modelling". Biogeosciences, 11: 425–442. doi:10.5194/bg-12-7025-2015.
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• Coles, V. J., Stukel, M. R., Brooks, M. T., Burd, A., Crump, B. C., Moran, M. A., et al. (2017). "Ocean biogeochemistry modeled with emergent trait-based genomics". Science, 358: 1149–1154. doi:10.1126/science.aan5712.