Carbon–Temperature–Water change analysis for peanut production under climate change: a prototype for the AgMIP Coordinated Climate-Crop Modeling Project (C3MP)

Authors

Alex Ruane, Climate Impacts Group, NASA Goddard Institute for Space Studies, New York, NYFollow
Sonali McDermid, Climate Impacts Group, NASA Goddard Institute for Space Studies, Oak Ridge Associated Universities
Cynthia Rosenzweig, Climate Impacts Group, NASA Goddard Institute for Space Studies, New York, NY
Guillermo Baigorria, University of Nebraska-LincolnFollow
James W. Jones, University of FloridaFollow
Consuelo Romero, University of Nebraska, Lincoln
L. Dewayne Cecil, Global Science and Technology, Inc., Asheville, NC

Document Type

Article

Date of this Version

2014

Citation

Global Change Biology (2014) 20, 394–407, doi: 10.1111/gcb.12412

Comments

This article is a U.S. government work, and is not subject to copyright in the United States.

Abstract

Climate change is projected to push the limits of cropping systems and has the potential to disrupt the agricultural sector from local to global scales. This article introduces the Coordinated Climate-Crop Modeling Project (C3MP), an initiative of the Agricultural Model Intercomparison and Improvement Project (AgMIP) to engage a global network of crop modelers to explore the impacts of climate change via an investigation of crop responses to changes in carbon dioxide concentration ([CO2]), temperature, and water. As a demonstration of the C3MP protocols and enabled analyses, we apply the Decision Support System for Agrotechnology Transfer (DSSAT) CROPGRO-Peanut crop model for Henry County, Alabama, to evaluate responses to the range of plausible [CO2], temperature changes, and precipitation changes projected by climate models out to the end of the 21st century. These sensitivity tests are used to derive crop model emulators that estimate changes in mean yield and the coefficient of variation for seasonal yields across a broad range of climate conditions, reproducing mean yields from sensitivity test simulations with deviations of ca. 2% for rain-fed conditions. We apply these statistical emulators to investigate how peanuts respond to projections from various global climate models, time periods, and emissions scenarios, finding a robust projection of modest (20%) losses and larger uncertainty at the end of the century under the more severe representative concentration pathway (RCP8.5). This projection is not substantially altered by the selection of the AgMERRA global gridded climate dataset rather than the local historical observations, differences between the Third and Fifth Coupled Model Intercomparison Project (CMIP3 and CMIP5), or the use of the delta method of climate impacts analysis rather than the C3MP impacts response surface and emulator approach