Crop resilience to climate change: A study of spatio-temporal variability of sugarcane yield in a subtropical region, China

被引:7
作者
Guo, Hao [1 ,2 ]
Huang, Zhigang [1 ,2 ]
Tan, Mengchao [1 ,2 ]
Ruan, Hongyan [1 ,2 ]
Awe, Gabriel Oladele [3 ]
Are, Kayode Steven [2 ,4 ]
Abegunrin, Toyin Peter [2 ,5 ]
Hussain, Zahid [2 ]
Kuang, Zhaomin [6 ,7 ]
Liu, Deli [8 ]
机构
[1] Nanning Normal Univ, Key Lab Beibu Gulf Environm Change & Resources Use, Minist Educ, Nanning 530001, Peoples R China
[2] Guangxi Univ, Key Lab Agroenvironm & Agroprod Safety, Nanning 530004, Peoples R China
[3] Ekiti State Univ, Dept Soil Resources & Environm Management, PMB 5363, Ado Ekiti, Nigeria
[4] Obafemi Awolowo Univ, Inst Agr Res & Training, Moor Plantat, Ibadan, Nigeria
[5] Ladoke Akintola Univ Technol, Dept Agr Engn, Ogbomosho, Nigeria
[6] COMSATS Univ Islamabad, Dept Dev Studies, Abbottabad Campus,Univ Rd, Dist Abbottabad, Pakistan
[7] Guangxi Inst Meteorol Sci, Nanning 530001, Peoples R China
[8] Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia
来源
SMART AGRICULTURAL TECHNOLOGY | 2021年 / 1卷
关键词
Climatic factors; APSIM-sugarcane model; Biomass yield; Sugarcane productivity; PRODUCTION SYSTEMS; CHANGE SCENARIOS; CHANGE IMPACTS; GROWTH; MODEL; APSIM; CO2; PRODUCTIVITY; PERFORMANCE; GENERATION;
D O I
10.1016/j.atech.2021.100014
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Increasing sugarcane production to meet sugar industry demands is a major challenge facing agricultural sector in a more vulnerable environment to climate change in subtropical China. Numerous studies have shown the impact of climate change on sugarcane production, but most of these studies were conducted in a plot or catchment scale without assessing the impacts at regional scale. In this paper, climatic elements of temperature, rainfall, and radiation data, simulated by 28 global climate models, were evaluated using the Taylor chart. The two greenhouse gas emission scenarios, RCP4.5 and RCP8.5, were used to generate climate changes in the region. Combined with the spatial analysis method, the spatial and temporal variation of temperature, rainfall and radiation in Guangxi region from 2010 to 2100 were studied. A validated APSIM-sugarcane model was selected to simulate sugarcane yield at 22 research stations in Guangxi region under different RCP scenarios in the future, and to analyze the three research stages (2030s: 2021-2040; 2060s: 2051-2070 and 2090s: 2081-2100). The spatio-temporal changes of aboveground biomass weight (DM), sugarcane stalk and sucrose (S) yields of the years 2021-2100 were compared with those in the base years (1961-2010), and the effects of climate change on sugarcane yield were quantified. On average, the DM yields were projected to increase by 3.6 and 4.7 and 5.8 t ha- 1 for RCP4.5 and 2.9, 5.4 and 8.5t ha- 1 for RCP8.5 in 2030s, 2060s and 2090s as compared to 1961-2010, respectively. Similarly, the projected increase in S yields were 5.2, 7.0, and 8.3 t ha - 1for RCP4.5 and 4.3, 7.2 and 10.8 t ha- 1 for RCP8.5 in the respective future years in comparison with baseline years. The results showed that sugarcane yield had no significant relationship with changes in solar radiation, but the yield had significant correlations with rainfall and temperature changes. Combine changes in radiation, rainfall, temperature and elevated CO2 might be accounted for 69 and 76% changes in sugarcane DM and S yields, respectively, across the entire location. An increase in temperature caused a little increase in sugarcane yield, while an increase in rainfall increased sugarcane yields significantly, but decreased when it exceeded a certain limit. On the other hand, the S yield increased with increase in temperature at constant radiation, but decreased when the radiation exceeded a certain limit. Temperature changes only caused S yield increase when radiation and temperature increased simultaneously. The effects of temperature and rainfall on S yield were similar to those on biomass yield. The effects of radiation and rainfall on S yield showed that both rainfall and radiation increased S yields, but the amplitude was limited. Therefore, to mitigate climate change in the future, supplemental irrigation can be used to increase soil moisture content to improve sugarcane yield.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Spatio-Temporal Variability of Soil Respiration of Forest Ecosystems in China: Influencing Factors and Evaluation Model
    Zheng, Ze-Mei
    Yu, Gui-Rui
    Sun, Xiao-Min
    Li, Sheng-Gong
    Wang, Yue-Si
    Wang, Ying-Hong
    Fu, Yu-Ling
    Wang, Qiu-Feng
    [J]. ENVIRONMENTAL MANAGEMENT, 2010, 46 (04) : 633 - 642
  • [42] Spatio-temporal pattern and the evolution of the distributional dynamics of county-level agricultural economic resilience in China
    Li, Chengmin
    Yu, Guoxin
    Deng, Haoyu
    Liu, Jian
    Li, Dongmei
    [J]. PLOS ONE, 2024, 19 (05):
  • [43] What Is the Consensus from Multiple Conclusions of Future Crop Yield Changes Affected by Climate Change in China?
    Huang, Chengfang
    Li, Ning
    Zhang, Zhengtao
    Liu, Yuan
    Chen, Xi
    Wang, Fang
    Chen, Qiong
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (24) : 1 - 12
  • [44] Modelling future climate change impacts on winter wheat yield and water use: A case study in Guanzhong Plain, northwestern China
    Saddique, Qaisar
    Liu, De Li
    Wang, Bin
    Feng, Puyu
    He, Jianqiang
    Ajaz, Ali
    Ji, Jianmei
    Xu, Jiatun
    Zhang, Chao
    Cai, Huanjie
    [J]. EUROPEAN JOURNAL OF AGRONOMY, 2020, 119
  • [45] Spatio-temporal change and variability of Barents-Kara sea ice, in the Arctic: Ocean and atmospheric implications
    Kumar, Avinash
    Yadav, Juhi
    Mohan, Rahul
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 753
  • [46] Spatiotemporal variability of vegetation phenology with reference to altitude and climate in the subtropical mountain and hill region, China
    Qiu BingWen
    Zhong Ming
    Tang ZhengHong
    Chen ChongCheng
    [J]. CHINESE SCIENCE BULLETIN, 2013, 58 (23): : 2883 - 2892
  • [47] Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification
    Gao, Caihong
    Wu, Qifan
    Dyck, Miles
    Lv, Jialong
    He, Hailong
    [J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2022, 15 (01) : 226 - 248
  • [48] Spatio-Temporal Patterns of Land Use and Cover Change from 1990 to 2010: A Case Study of Jiangsu Province, China
    Shi, Ge
    Ye, Peng
    Ding, Liang
    Quinones, Agustin
    Li, Yang
    Jiang, Nan
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (06):
  • [49] SPATIO-TEMPORAL CHANGE OF ANATOLIAN CHESTNUT (Castanea sativa Mill.) FORESTS UNDER CLIMATE CHANGE, NORTHEASTERN TURKEY
    Usta, Ayhan
    Yilmaz, Murat
    [J]. ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2020, 19 (07): : 1167 - 1179
  • [50] Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change
    Parkes, B.
    Higginbottom, T. P.
    Hufkens, K.
    Ceballos, F.
    Kramer, B.
    Foster, T.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (12)