Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China

Jilin is among the most important grain-producing provinces in China. Its maize productionplays an important role in local and national food security. In this study, we developed a newapproach to assess the vulnerability and adaptation options for Jilin maize yields with respect toclimate change by...

Full description

Bibliographic Details
Main Authors: Wang, M., Li, Y., Ye, W., Bornman, Janet, Yan, X.
Format: Journal Article
Published: Inter-Research 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/21201
_version_ 1848750524204056576
author Wang, M.
Li, Y.
Ye, W.
Bornman, Janet
Yan, X.
author_facet Wang, M.
Li, Y.
Ye, W.
Bornman, Janet
Yan, X.
author_sort Wang, M.
building Curtin Institutional Repository
collection Online Access
description Jilin is among the most important grain-producing provinces in China. Its maize productionplays an important role in local and national food security. In this study, we developed a newapproach to assess the vulnerability and adaptation options for Jilin maize yields with respect toclimate change by modifying a site-based biophysical model to a spatial grid-based application. Anensemble approach that used a combination of 20 general circulation model results and 6 scenariosfrom the Special Report on Emissions Scenarios was adopted in order to reflect the high uncertaintiesin future climate projections. The results show that the yield is highly likely to decline in the westernand central regions of Jilin but to increase in the east, where maize is not currently grown as the maincrop. Phenologically, the growing season will be reduced in the central and western parts, leading toa shortened grain-filling period. The average maize yield in the west and central regions is thus projectedto decrease 15% or more by 2050 as predicted by 90% of 120 projected scenarios. In addition, CO2 fertilization was investigated and demonstrated a noticeable compensation effect on the yield deduction. However, further field work and/or laboratory-based experiments are required to validatethe modeled CO2 fertilization effects. Two potential adaptation strategies, i.e. improving irrigationfacilities and introducing cultivars, were identified from the vulnerability assessment and were furthertested for the reduction areas. The results revealed that the increase in effective irrigation by upgrading the irrigation system would help to maintain the current production level, but in the long run, the maize cultivars need to be introduced in line with the future warming climate.
first_indexed 2025-11-14T07:38:12Z
format Journal Article
id curtin-20.500.11937-21201
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:38:12Z
publishDate 2011
publisher Inter-Research
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-212012017-09-13T13:54:26Z Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China Wang, M. Li, Y. Ye, W. Bornman, Janet Yan, X. maize production Climate change impacts measures scenario uncertainty adaptation Jilin is among the most important grain-producing provinces in China. Its maize productionplays an important role in local and national food security. In this study, we developed a newapproach to assess the vulnerability and adaptation options for Jilin maize yields with respect toclimate change by modifying a site-based biophysical model to a spatial grid-based application. Anensemble approach that used a combination of 20 general circulation model results and 6 scenariosfrom the Special Report on Emissions Scenarios was adopted in order to reflect the high uncertaintiesin future climate projections. The results show that the yield is highly likely to decline in the westernand central regions of Jilin but to increase in the east, where maize is not currently grown as the maincrop. Phenologically, the growing season will be reduced in the central and western parts, leading toa shortened grain-filling period. The average maize yield in the west and central regions is thus projectedto decrease 15% or more by 2050 as predicted by 90% of 120 projected scenarios. In addition, CO2 fertilization was investigated and demonstrated a noticeable compensation effect on the yield deduction. However, further field work and/or laboratory-based experiments are required to validatethe modeled CO2 fertilization effects. Two potential adaptation strategies, i.e. improving irrigationfacilities and introducing cultivars, were identified from the vulnerability assessment and were furthertested for the reduction areas. The results revealed that the increase in effective irrigation by upgrading the irrigation system would help to maintain the current production level, but in the long run, the maize cultivars need to be introduced in line with the future warming climate. 2011 Journal Article http://hdl.handle.net/20.500.11937/21201 10.3354/cr00986 Inter-Research unknown
spellingShingle maize production
Climate change impacts
measures
scenario uncertainty
adaptation
Wang, M.
Li, Y.
Ye, W.
Bornman, Janet
Yan, X.
Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China
title Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China
title_full Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China
title_fullStr Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China
title_full_unstemmed Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China
title_short Climate change and maize production, and potential adaptation measures: a case study in Jilin Province, China
title_sort climate change and maize production, and potential adaptation measures: a case study in jilin province, china
topic maize production
Climate change impacts
measures
scenario uncertainty
adaptation
url http://hdl.handle.net/20.500.11937/21201