Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China

Rice (Oryza sativa L.) is one of the most important staple crops in China. Increasing atmospheric greenhouse gas concentrations and associated climate change may greatly affect rice production. We assessed the potential impacts of climate change on cold rice production in the Heilongjiang province,...

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Main Authors: Jingting Zhang, Liping Feng, Haiping Zou, De Li Liu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2015-08-01
Series:Crop Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214514115000409
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spelling doaj-6e57ca36da754e69b27b82c8065f26152021-03-02T08:35:09ZengKeAi Communications Co., Ltd.Crop Journal2095-54212214-51412015-08-0134317327doi:10.1016/j.cj.2014.09.005Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, ChinaJingting Zhang 0Liping Feng 1Haiping Zou 2De Li Liu 3College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, ChinaCollege of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, ChinaCollege of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, ChinaNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, NSW 2650, Australia Graham Centre for Agricultural Innovation (an alliance between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga, NSW 2650, AustraliaRice (Oryza sativa L.) is one of the most important staple crops in China. Increasing atmospheric greenhouse gas concentrations and associated climate change may greatly affect rice production. We assessed the potential impacts of climate change on cold rice production in the Heilongjiang province, one of China's most important rice production regions. Data for a baseline period (1961–1990) and the period 2010–2050 in A2 and B2 scenarios were used as input to drive the rice model ORYZA2000 with and without accounting for the effects of increasing atmospheric CO2 concentration. The results indicate that mean, maximum, and minimum temperature during the rice growing season, in the future period considered, would increase by 1.8 °C under the A2 scenario and by 2.2 °C under the B2 scenario compared with those in the baseline. The rate of change in average maximum and minimum temperatures would increase by 0.6 °C per 10-year period under the A2 scenario and by 0.4 °C per 10-year period under the B2 scenario. Precipitation would increase slightly in the rice growing season over the next 40 years. The rice growing season would be shortened and the yield would increase in most areas in the Heilongjiang province. Without accounting for CO2 effect, the rice growing season in the period 2010–2050 would be shortened by 4.7 and 5.8 days, and rice yields would increase by 11.9% and 7.9%, under the A2 and B2 scenarios, respectively. Areas with simulated rice yield increases greater than 30.0% were in the Xiaoxing'an Mountain region. The simulation indicated a decrease in yield of less than 15% in the southwestern Songnen Plain. The rate of change in simulated rice yield was 5.0% and 2.5% per 10 years under the A2 and B2 scenarios, respectively. When CO2 effect was accounted for, rice yield increased by 44.5% and 31.3% under the A2 and B2 scenarios, respectively. The areas of increasing yield were sharply expanded. The area of decreasing yield in the western region of Songnen Plains disappeared when increasing CO2 concentration was considered. The stability of rice yield would increase from 2010 to 2050. Overall, the simulation indicates that rice production will be affected positively by climate change in the next 40 years in the Heilongjiang province, China.http://www.sciencedirect.com/science/article/pii/S2214514115000409Climate changeCold rice yieldORYZA2000 modelHeilongjiang provinceChina
collection DOAJ
language English
format Article
sources DOAJ
author Jingting Zhang
Liping Feng
Haiping Zou
De Li Liu
spellingShingle Jingting Zhang
Liping Feng
Haiping Zou
De Li Liu
Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China
Crop Journal
Climate change
Cold rice yield
ORYZA2000 model
Heilongjiang province
China
author_facet Jingting Zhang
Liping Feng
Haiping Zou
De Li Liu
author_sort Jingting Zhang
title Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China
title_short Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China
title_full Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China
title_fullStr Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China
title_full_unstemmed Using ORYZA2000 to model cold rice yield response to climate change in the Heilongjiang province, China
title_sort using oryza2000 to model cold rice yield response to climate change in the heilongjiang province, china
publisher KeAi Communications Co., Ltd.
series Crop Journal
issn 2095-5421
2214-5141
publishDate 2015-08-01
description Rice (Oryza sativa L.) is one of the most important staple crops in China. Increasing atmospheric greenhouse gas concentrations and associated climate change may greatly affect rice production. We assessed the potential impacts of climate change on cold rice production in the Heilongjiang province, one of China's most important rice production regions. Data for a baseline period (1961–1990) and the period 2010–2050 in A2 and B2 scenarios were used as input to drive the rice model ORYZA2000 with and without accounting for the effects of increasing atmospheric CO2 concentration. The results indicate that mean, maximum, and minimum temperature during the rice growing season, in the future period considered, would increase by 1.8 °C under the A2 scenario and by 2.2 °C under the B2 scenario compared with those in the baseline. The rate of change in average maximum and minimum temperatures would increase by 0.6 °C per 10-year period under the A2 scenario and by 0.4 °C per 10-year period under the B2 scenario. Precipitation would increase slightly in the rice growing season over the next 40 years. The rice growing season would be shortened and the yield would increase in most areas in the Heilongjiang province. Without accounting for CO2 effect, the rice growing season in the period 2010–2050 would be shortened by 4.7 and 5.8 days, and rice yields would increase by 11.9% and 7.9%, under the A2 and B2 scenarios, respectively. Areas with simulated rice yield increases greater than 30.0% were in the Xiaoxing'an Mountain region. The simulation indicated a decrease in yield of less than 15% in the southwestern Songnen Plain. The rate of change in simulated rice yield was 5.0% and 2.5% per 10 years under the A2 and B2 scenarios, respectively. When CO2 effect was accounted for, rice yield increased by 44.5% and 31.3% under the A2 and B2 scenarios, respectively. The areas of increasing yield were sharply expanded. The area of decreasing yield in the western region of Songnen Plains disappeared when increasing CO2 concentration was considered. The stability of rice yield would increase from 2010 to 2050. Overall, the simulation indicates that rice production will be affected positively by climate change in the next 40 years in the Heilongjiang province, China.
topic Climate change
Cold rice yield
ORYZA2000 model
Heilongjiang province
China
url http://www.sciencedirect.com/science/article/pii/S2214514115000409
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