Literature DB >> 25581316

Crop yield response to climate change varies with cropping intensity.

Andrew J Challinor1, Ben Parkes, Julian Ramirez-Villegas.   

Abstract

Projections of the response of crop yield to climate change at different spatial scales are known to vary. However, understanding of the causes of systematic differences across scale is limited. Here, we hypothesize that heterogeneous cropping intensity is one source of scale dependency. Analysis of observed global data and regional crop modelling demonstrate that areas of high vs. low cropping intensity can have systematically different yields, in both observations and simulations. Analysis of global crop data suggests that heterogeneity in cropping intensity is a likely source of scale dependency for a number of crops across the globe. Further crop modelling and a meta-analysis of projected tropical maize yields are used to assess the implications for climate change assessments. The results show that scale dependency is a potential source of systematic bias. We conclude that spatially comprehensive assessments of climate impacts based on yield alone, without accounting for cropping intensity, are prone to systematic overestimation of climate impacts. The findings therefore suggest a need for greater attention to crop suitability and land use change when assessing the impacts of climate change.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  climate change; crop model; crop yield; food production; land use

Mesh:

Year:  2015        PMID: 25581316     DOI: 10.1111/gcb.12808

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


  4 in total

Review 1.  Transmission of climate risks across sectors and borders.

Authors:  Andy J Challinor; W Neil Adger; Tim G Benton; Declan Conway; Manoj Joshi; Dave Frame
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-06-13       Impact factor: 4.226

2.  Uncertainties of potentials and recent changes in global yields of major crops resulting from census- and satellite-based yield datasets at multiple resolutions.

Authors:  Toshichika Iizumi; Mizuki Kotoku; Wonsik Kim; Paul C West; James S Gerber; Molly E Brown
Journal:  PLoS One       Date:  2018-09-20       Impact factor: 3.240

3.  Annual dynamic dataset of global cropping intensity from 2001 to 2019.

Authors:  Xiaoxuan Liu; Juepeng Zheng; Le Yu; Pengyu Hao; Bin Chen; Qinchuan Xin; Haohuan Fu; Peng Gong
Journal:  Sci Data       Date:  2021-10-28       Impact factor: 6.444

Review 4.  Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production.

Authors:  Nándor Fodor; Andrew Challinor; Ioannis Droutsas; Julian Ramirez-Villegas; Florian Zabel; Ann-Kristin Koehler; Christine H Foyer
Journal:  Plant Cell Physiol       Date:  2017-11-01       Impact factor: 4.927

  4 in total

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