Regional disparities in the CO2 fertilization effect and implications for crop yields
By J. McGrath, David B. Lobell. 2013
166 citations recorded by the source corpus.
Although crop yield generally responds positively to increased atmospheric CO2 concentration ([CO2]), the response depends on the species and environmental conditions. Thus, even though global [CO2] is increasing roughly uniformly, regional yield response to increased [CO2] will vary due to differences in climate and the mixture of crops. Although [CO2] effects have been shown to be important for economic and food security impacts of climate change, regional [CO2] effects are not often considered, and the few studies that have considered them disagree on regional patterns. Here regional yield effects of elevated [CO2] are examined by combining experimentally determined CO2 fertilization effect estimates with grid-level data on climate, crop areas, and yields. Production stimulation varies between regions, mostly driven by differences in climate but also by the mixture of crops. The variability in yield due to the variable response to elevated [CO2] is about 50–70% of the variability in yield due to the variable response to climate. There is, however, little agreement between studies regarding which regions benefit most from elevated [CO2]. This is likely because of interactions of CO2 with temperature, species, water status, and nitrogen availability, but no models currently account for all these interactions. These results suggest that regional differences in CO2 effects are of similar importance as regional differences in climate effects and should be included in models.
Subfields: Atmospheric Science, Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/6a86f6100f7791ad32d7e59758b4f5a98a9420f5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
In Global and Planetary Change
In Plant Science
- Senthold Asseng
- Thomas W. Hertel
- Uris Lantz C. Baldos
- David B. Lobell
- R. A. Fischer
- Andrew Crane-Droesch
- X. Ju
- P. Christie
Citations in the corpus
- Comparing estimates of climate change impacts from process-based and statistical crop models (2017, methodology): “This was the approach taken in the recent Risky Business study of impacts in the United States (Houser et al 2015), which utilized estimates of CO2 impacts on yields for different crops and regions (McGrath and Lobell 2013).”
- Global food security in 2050: the role of agricultural productivity and climate change (2014, background): “However, recent analysis at the grid-cell level shows that CO2 impacts differ widely across crop types as well as agro-climatic conditions (McGrath and Lobell 2013).”