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Journal of Geographical Sciences    2018, Vol. 28 Issue (11) : 1700-1714     DOI: 10.1007/s11442-018-1538-1
Special Issue: Land system dynamics: Pattern and process |
Changes in production potentials of rapeseed in the Yangtze River Basin of China under climate change:A multi-model ensemble approach
TIAN Zhan1,2,3,JI Yinghao1,2,SUN Laixiang4,5,XU Xinliang7,*(),FAN Dongli1,*(),ZHONG Honglin4,LIANG Zhuoran6,FICSHER Gunther5
1. Shanghai Institute of Technology, Shanghai 200030, China
2. Shanghai Climate Center, Shanghai Meteorological Bureau, Shanghai 200030, China
3. School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
4. Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
5. International Institute for Applied Systems Analysis (IIASA), A-2361 Laxenburg, Austria
6. Hangzhou Meteorological Bureau, Hangzhou 310051, China
7. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100039, China
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Rapeseed is one of the major oil crops in China and it is very sensitive to climate change. The Yangtze River Basin is the main rapeseed production area in China. Therefore, a better understanding of the impact of climate change on rapeseed production in the basin is of both scientific and practical importance to Chinese oil industry and food security. In this study, based on climate data from 5 General Circulation Models (GCMs) with 4 representative concentration pathways (RCPs) in 2011-2040 (2020s), 2041-2070 (2050s) and 2071-2100 (2080s), we assessed the changes in rapeseed production potential between the baseline climatology of 1981-2010 and the future climatology of the 2020s, 2050s, and 2080s, respectively. The key modelling tool - the AEZ model - was updated and validated based on the observation records of 10 representative sites in the basin. Our simulations revealed that: (1) the uncertainty of the impact of climate change on rapeseed production increases with time; (2) in the middle of this century (2050s), total rapeseed production would increase significantly; (3) the average production potential increase in the 2050s for the upper, middle and lower reaches of the Yangtze River Basin is 0.939, 1.639 and 0.339 million tons respectively; (4) areas showing most significant increases in production include southern Shaanxi, central and eastern Hubei, northern Hunan, central Anhui and eastern Jiangsu.

Keywords climate change      rapeseed production      AEZ      Yangtze River Basin     
Fund:National Natural Science Foundation of China, No.41671113, No.51761135024, No.41601049, No.41475040;China’s National Science & Technology Pillar Program, No.2016YFC0502702
Corresponding Authors: XU Xinliang,FAN Dongli     E-mail:;
Issue Date: 21 December 2018
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JI Yinghao
SUN Laixiang
XU Xinliang
FAN Dongli
ZHONG Honglin
LIANG Zhuoran
Cite this article:   
TIAN Zhan,JI Yinghao,SUN Laixiang, et al. Changes in production potentials of rapeseed in the Yangtze River Basin of China under climate change:A multi-model ensemble approach[J]. Journal of Geographical Sciences, 2018, 28(11): 1700-1714.
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Figure 1  Distribution of rapeseed observation stations in China
Station Province Latitude Longitude
Neijiang Sichuan 29°35′N 105°5′E
Nanbu Sichuan 31°21′N 106°3′E
Ankang Shaanxi 32°43′N 109°2′E
Changde Hunan 29°3′N 111°41′E
Wuchang Hubei 30°21′N 114°19′E
Nanchang Jiangxi 28°33′N 115°57′E
Hefei Anhui 31°52′N 117°14′E
Gaochun Jiangsu 31°19′N 118°53′E
Longyou Zhejiang 29°2′N 119°11′E
Jiaxing Zhejiang 30°47′N 120°44′E
Table 1  The location information of selected 10 stations
Cultivar Original parameters New parameters
Cya+Cyb HI TS1n TS1x Cya+Cyb HI TS1n TS1x
Wrs 1 35+105 0.25 1500 2100 55+85 0.25 1100 1600
Wrs 2 40+120 0.25 1600 2400 65+90 0.25 1200 1800
Wrs 3 45+135 0.25 1700 2700 75+95 0.25 1300 1950
Wrs 4 45+150 0.25 1800 3000 85+100 0.25 1400 2100
Srs 1 0+150 0.20 1400 1850 0+105 0.23 1200 2150
Srs 2 0+120 0.21 1500 2100 0+120 0.23 1300 2300
Srs 3 0+135 0.22 1600 2350 0+135 0.23 1400 2400
Srs 4 0+150 0.23 1700 2600 0+150 0.23 1500 2500
New 1 0+150 0.25 1500 2500
New 2 0+165 0.25 1650 2600
New 3 0+180 0.24 1800 2700
New 4 0+195 0.24 2000 2800
New 5 0+210 0.23 2150 2900
New 6 0+225 0.23 2300 3000
Table 2  Comparison of cultivar parameters
Figure 2  Technological roadmap
Figure 3  Comparison of simulated attainable yields with observed yields
Figure 4  The ensemble yields of rain-fed winter rapeseed in the 2020s (green), 2050s (purple), and 2080s (red). The plus represents the 30-year average rain-fed rapeseed yield from 1981 to 2010 simulated with the observation data as the baseline. The horizontal line denotes the ensemble median.
Sites Baseline (kg/ha) Scenarios Sig Significance
2020s 5.37E-04 ***
Neijiang 3252 2050s 1.41E-06 ***
2080s 8.52E-01
2020s 9.59E-14 ***
Nanbu 3338 2050s 7.27E-03 ***
2080s 1.28E-01
2020s 9.75E-16 ***
Ankang 3207 2050s 1.53E-07 ***
2080s 1.04E-01
2020s 3.19E-04 ***
Changde 3317 2050s 9.57E-03 ***
2080s 7.26E-03 ***
2020s 1.05E-01
Wuchang 3125 2050s 7.30E-01
2080s 5.35E-02 *
2020s 1.65E-04 ***
Nanchang 3309 2050s 2.13E-04 ***
2080s 1.44E-04 ***
2020s 6.54E-02 *
Hefei 2992 2050s 5.69E-06 ***
2080s 1.34E-03 ***
2020s 5.92E-01
Gaochun 2975 2050s 1.71E-02 **
2080s 1.60E-03 ***
2020s 9.98E-09 ***
Longyou 3342 2050s 4.33E-08 ***
2080s 3.06E-03 ***
2020s 1.47E-03 ***
Jiaxing 3280 2050s 1.95E-02 **
2080s 5.04E-01
Table 3  T-test analysis of rapeseed yield variation in the Yangtze River Basin under future climatic conditions
Scenarios climate models Upper reaches (mt) Middle reaches (mt) Lower reaches (mt)
RCP2.6 GFDL-ESM2M 0.826 2.528 0.507
NorESM1-M 1.911 2.583 0.385
RCP4.5 GFDL-ESM2M 0.802 3.316 0.927
NorESM1-M 1.441 2.263 0.223
RCP6.0 GFDL-ESM2M -0.122 -2.333 -0.217
NorESM1-M 0.748 1.705 0.241
RCP8.5 GFDL-ESM2M 0.779 0.240 -0.005
NorESM1-M 1.130 2.810 0.648
Average 0.939 1.639 0.339
Table 4  Total rapeseed production changes for the upper, middle and lower reaches of the Yangtze River in the 2080s (million tons)
Figure 5  Rapeseed yield change from the baseline to the mid-21st century (2050s) under RCP2.6, RCP4.5, RCP6.0 and RCP8.5 scenarios produced with GFDL-ESM2M (a-d) and NorESM-M (e-h) climate models
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