Published July 17, 2018 | Version v1
Journal article Open

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

  • 1. Massachusetts Institute of Technology
  • 2. University of Chicago

Description

Changing atmospheric composition, induced primarily by industrialization and climate change, can impact plant health and may have implications for global food security. Atmospheric particulate matter (PM) can enhance crop production through the redistribution of light from sunlight to shaded leaves. Nitrogen transported through the atmosphere can also increase crop production when deposited onto cropland by reducing nutrient limitations in these areas. We employ a crop model (pDSSAT), coupled to input from an atmospheric chemistry model (GEOS-Chem), to estimate the impact of PM and nitrogen deposition on crop production. In particular, the crop model considers the resource and physiological restrictions to enhancements in growth from these atmospheric inputs. We find that the global enhancement in crop production due to PM in 2010 under the most realistic scenario is 2.3, 11.0, and 3.4 % for maize, wheat, and rice, respectively. These crop enhancements are smaller than those previously found when resource restrictions were not accounted for. Using the same model setup, we assess the effect of nitrogen deposition on crops and find modest increases (∼ 2 % in global production for all three crops). This study highlights the need for better observations of the impacts of PM on crop growth and the cycling of nitrogen throughout the plant–soil system to reduce uncertainty in these interactions.

Data availability

The GC-RT and pDSSAT model data used in this study are archived at MIT and are available on request from the authors (schiferl@mit.edu). Emissions inventories implemented in GEOS-Chem v10-01 are available at https://github.com/GCST/hemco data_download (GEOS-Chem Support Team, 2015). The DSSAT and pSIMS models and input data are available through http://www.dssat.net and http://www.github.com/RDCEP/psims (Elliott et al., 2014; Hoogenboom et al., 2015), respectively. The FAO GAEZ crop database is available at http://gaez.fao.org (FAO, 2016).

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Additional details

Identifiers

DOI
10.5194/bg-15-4301-2018
Other
oai:uchicago.tind.io:13713

Funding

Martin Family
Fellowship for Sustainability
Massachusetts Institute of Technology

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Computer Science