Literature DB >> 24115520

Carbon-temperature-water change analysis for peanut production under climate change: a prototype for the AgMIP coordinated climate-crop modeling project (C3MP).

Alex C Ruane1, Sonali McDermid, Cynthia Rosenzweig, Guillermo A Baigorria, James W Jones, Consuelo C Romero, L Dewayne Cecil.   

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 (<10%) median yield losses in the middle of the 21st century accelerating to more severe (>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.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  AgMIP; C3MP; agriculture; carbon dioxide, temperature, and water; climate change; climate impacts; crop model; impacts response surface

Mesh:

Substances:

Year:  2013        PMID: 24115520     DOI: 10.1111/gcb.12412

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  5 in total

1.  Evaluating the sensitivity of agricultural model performance to different climate inputs.

Authors:  Michael J Glotter; Elisabeth J Moyer; Alex C Ruane; Joshua W Elliott
Journal:  J Appl Meteorol Climatol       Date:  2016-02-29       Impact factor: 3.557

2.  Change in the Green-Up Dates for Quercus mongolica in Northeast China and Its Climate-Driven Mechanism from 1962 to 2012.

Authors:  Deqin Fan; Wenquan Zhu; Zhoutao Zheng; Donghai Zhang; Yaozhong Pan; Nan Jiang; Xiafei Zhou
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

3.  Improving the use of crop models for risk assessment and climate change adaptation.

Authors:  Andrew J Challinor; Christoph Müller; Senthold Asseng; Chetan Deva; Kathryn Jane Nicklin; Daniel Wallach; Eline Vanuytrecht; Stephen Whitfield; Julian Ramirez-Villegas; Ann-Kristin Koehler
Journal:  Agric Syst       Date:  2018-01       Impact factor: 5.370

4.  Towards a new generation of agricultural system data, models and knowledge products: Design and improvement.

Authors:  John M Antle; Bruno Basso; Richard T Conant; H Charles J Godfray; James W Jones; Mario Herrero; Richard E Howitt; Brian A Keating; Rafael Munoz-Carpena; Cynthia Rosenzweig; Pablo Tittonell; Tim R Wheeler
Journal:  Agric Syst       Date:  2017-07       Impact factor: 5.370

5.  Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments.

Authors:  Alex C Ruane; John Antle; Joshua Elliott; Christian Folberth; Gerrit Hoogenboom; Daniel Mason-D'Croz; Christoph Müller; Cheryl Porter; Meridel M Phillips; Rubi M Raymundo; Ronald Sands; Roberto O Valdivia; Jeffrey W White; Keith Wiebe; Cynthia Rosenzweig
Journal:  Clim Res       Date:  2018-09-04       Impact factor: 1.972

  5 in total

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