How Climate Change Affects Extremes in Maize and Wheat Yield in Two Cropping Regions
Ummenhofer, Caroline C. ; Xu, Hong ; Twine, Tracy E. ; Girvetz, Evan H. ; McCarthy, Heather R. ; Chhetri, Netra and Nicholas, Kimberly LU
(2015)
In Journal of Climate
28(12).
p.4653-4687
- Abstract
- Downscaled climate model projections from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were used to force a dynamic vegetation agricultural model (Agro-IBIS) and simulate yield responses to historical climate and two future emissions scenarios for maize in the U.S. Midwest and wheat in southeastern Australia. In addition to mean changes in yield, the frequency of high- and low-yield years was related to changing local hydroclimatic conditions. Particular emphasis was on the seasonal cycle of climatic variables during extreme-yield years and links to crop growth. While historically high (low) yields in Iowa tend to occur during years with anomalous wet (dry) growing season, this is exacerbated in the future. By the end of... (More)
- Downscaled climate model projections from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were used to force a dynamic vegetation agricultural model (Agro-IBIS) and simulate yield responses to historical climate and two future emissions scenarios for maize in the U.S. Midwest and wheat in southeastern Australia. In addition to mean changes in yield, the frequency of high- and low-yield years was related to changing local hydroclimatic conditions. Particular emphasis was on the seasonal cycle of climatic variables during extreme-yield years and links to crop growth. While historically high (low) yields in Iowa tend to occur during years with anomalous wet (dry) growing season, this is exacerbated in the future. By the end of the twenty-first century, the multimodel mean (MMM) of growing season temperatures in Iowa is projected to increase by more than 5 degrees C, and maize yield is projected to decrease by 18%. For southeastern Australia, the frequency of low-yield years rises dramatically in the twenty-first century because of significant projected drying during the growing season. By the late twenty-first century, MMM growing season precipitation in southeastern Australia is projected to decrease by 15%, temperatures are projected to increase by 2.8 degrees-4.5 degrees C, and wheat yields are projected to decline by 70%. Results highlight the sensitivity of yield projections to the nature of hydroclimatic changes. Where future changes are uncertain, the sign of the yield change simulated by Agro-IBIS is uncertain as well. In contrast, broad agreement in projected drying over southern Australia across models is reflected in consistent yield decreases for the twenty-first century. Climatic changes of the order projected can be expected to pose serious challenges for continued staple grain production in some current centers of production, especially in marginal areas. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7605086
- author
- Ummenhofer, Caroline C.
; Xu, Hong
; Twine, Tracy E.
; Girvetz, Evan H.
; McCarthy, Heather R.
; Chhetri, Netra
and Nicholas, Kimberly
LU
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Climate
- volume
- 28
- issue
- 12
- pages
- 4653 - 4687
- publisher
- American Meteorological Society
- external identifiers
-
- wos:000356283900004
- scopus:84942928105
- ISSN
- 1520-0442
- DOI
- 10.1175/JCLI-D-13-00326.1
- language
- English
- LU publication?
- yes
- id
- f4dc856b-94bd-4cd3-bb76-c32456c6fff3 (old id 7605086)
- date added to LUP
- 2016-04-01 10:32:27
- date last changed
- 2022-02-02 18:46:59
@article{f4dc856b-94bd-4cd3-bb76-c32456c6fff3,
abstract = {{Downscaled climate model projections from phase 5 of the Coupled Model Intercomparison Project (CMIP5) were used to force a dynamic vegetation agricultural model (Agro-IBIS) and simulate yield responses to historical climate and two future emissions scenarios for maize in the U.S. Midwest and wheat in southeastern Australia. In addition to mean changes in yield, the frequency of high- and low-yield years was related to changing local hydroclimatic conditions. Particular emphasis was on the seasonal cycle of climatic variables during extreme-yield years and links to crop growth. While historically high (low) yields in Iowa tend to occur during years with anomalous wet (dry) growing season, this is exacerbated in the future. By the end of the twenty-first century, the multimodel mean (MMM) of growing season temperatures in Iowa is projected to increase by more than 5 degrees C, and maize yield is projected to decrease by 18%. For southeastern Australia, the frequency of low-yield years rises dramatically in the twenty-first century because of significant projected drying during the growing season. By the late twenty-first century, MMM growing season precipitation in southeastern Australia is projected to decrease by 15%, temperatures are projected to increase by 2.8 degrees-4.5 degrees C, and wheat yields are projected to decline by 70%. Results highlight the sensitivity of yield projections to the nature of hydroclimatic changes. Where future changes are uncertain, the sign of the yield change simulated by Agro-IBIS is uncertain as well. In contrast, broad agreement in projected drying over southern Australia across models is reflected in consistent yield decreases for the twenty-first century. Climatic changes of the order projected can be expected to pose serious challenges for continued staple grain production in some current centers of production, especially in marginal areas.}},
author = {{Ummenhofer, Caroline C. and Xu, Hong and Twine, Tracy E. and Girvetz, Evan H. and McCarthy, Heather R. and Chhetri, Netra and Nicholas, Kimberly}},
issn = {{1520-0442}},
language = {{eng}},
number = {{12}},
pages = {{4653--4687}},
publisher = {{American Meteorological Society}},
series = {{Journal of Climate}},
title = {{How Climate Change Affects Extremes in Maize and Wheat Yield in Two Cropping Regions}},
url = {{http://dx.doi.org/10.1175/JCLI-D-13-00326.1}},
doi = {{10.1175/JCLI-D-13-00326.1}},
volume = {{28}},
year = {{2015}},
}