Articles | Volume 15, issue 14
Biogeosciences, 15, 4301–4315, 2018
https://doi.org/10.5194/bg-15-4301-2018
Biogeosciences, 15, 4301–4315, 2018
https://doi.org/10.5194/bg-15-4301-2018

Research article 17 Jul 2018

Research article | 17 Jul 2018

Resource and physiological constraints on global crop production enhancements from atmospheric particulate matter and nitrogen deposition

Luke D. Schiferl et al.

Data sets

HEMCO emissions data GEOS-Chem Support Team https://github.com/GCST/hemco data_download

The parallel system for integrating impact models and sectors (pSIMS) J. Elliott, D. Kelly, J. Chryssanthacopoulos, M. Glotter, K. Jhunjhnuwala, N. Best, M. Wilde, and I. Foster https://doi.org/10.1016/j.envsoft.2014.04.008

Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.6 G. Hoogenboom, J. W. Jones, P. W. Wilkens, C. H. Porter, K. J. Boote, L. A. Hunt, U. Singh, J. I. Lizaso, J. W. White, O. Uryasev, R. Ogoshi, J. Koo, V. Shelia, and G. Y. Tsuji http://www.dssat.net

Global Agro-Ecological Zones (GAEZ) FAO http://gaez.fao.org

Short summary
To understand future food security, it is critical to develop realistic crop models with reliable sensitivity to environmental factors. We find that particulate matter (PM) causes a significant, but smaller, enhancement for global wheat and rice production than estimated without nutrient and physiological limitations imposed by a crop model. In contrast, maize grows near its physiological maximum, with little enhancement from PM. Nitrogen deposition leads to a small increase in crop production.
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