Spatio-Temporal Dynamics of Maize Potential Yield and Yield Gaps in Northeast China from 1990 to 2015

被引:17
|
作者
Pu, Luoman [1 ,2 ,3 ]
Zhang, Shuwen [2 ]
Yang, Jiuchun [2 ]
Chang, Liping [2 ]
Bai, Shuting [1 ,2 ]
机构
[1] Jilin Univ, Coll Earth Sci, Changchun 130012, Jilin, Peoples R China
[2] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Jilin, Peoples R China
[3] Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK 73019 USA
关键词
spatio-temporal dynamics; maize potential yield; Northeast China; yield gap; GAEZ model; NET PRIMARY PRODUCTIVITY; MODEL; SIMULATION; CLIMATE;
D O I
10.3390/ijerph16071211
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Maize yield has undergone obvious spatial and temporal changes in recent decades in Northeast China. Understanding how maize potential yield has changed over the past few decades and how large the gaps between potential and actual maize yields are is essential for increasing maize yield to meet increased food demand in Northeast China. In this study, the spatial and temporal dynamics of maize potential yield in Northeast China from 1990 to 2015 were simulated using the Global Agro-ecological Zones (GAEZ) model at the pixel level firstly. Then, the yield gaps between actual and potential yields were analyzed at city scale. The results were the following. (1) The maize potential yield decreased by about 500 kg/ha and the potential production remained at around 260 million tonnes during 1990-2000. From 2000 to 2015, the maize potential yield and production increased by approximately 1000 kg/ha and 80 million tonnes, respectively. (2) The maize potential yield decreased in most regions of Northeast China in the first decade, such as the center area (CA), south area (SA), southwest area (SWA), and small regions in northeast area (NEA), due to lower temperature and insufficient rainfall. The maize potential yield increased elsewhere. (3) The maize potential yield increased by more than 1000 kg/ha in the center area (CA) in the latter 15 years, which may be because of the climate warming and sufficient precipitation. The maize potential yield decreased elsewhere and Harbin in the center area (CA). (4) In 40 cities of Northeast China, the rates of actual yield to potential yield in 17 cities were higher than 80%. The actual yields only attained 50-80% of the potential yields in 20 cities. The gaps between actual and potential yields in Hegang and Dandong were very large, which need to be shrunk urgently. The results highlight the importance of coping with climate change actively, arranging crop structure reasonably, improving farmland use efficiency and ensuring food security in Northeast China.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Spatio-temporal distribution of sugarcane potential yields and yield gaps in Southern China
    Zu, Qin
    Mi, Chunrong
    Liu, De Li
    He, Liang
    Kuang, Zhaomin
    Fang, Quanxiao
    Ramp, Daniel
    Li, Li
    Wang, Bin
    Chen, Yanli
    Li, Jun
    Jin, Ning
    Yu, Qiang
    [J]. EUROPEAN JOURNAL OF AGRONOMY, 2018, 92 : 72 - 83
  • [2] Maize potential yields and yield gaps in the changing climate of northeast China
    Liu, Zhijuan
    Yang, Xiaoguang
    Hubbard, Kenneth G.
    Lin, Xiaomao
    [J]. GLOBAL CHANGE BIOLOGY, 2012, 18 (11) : 3441 - 3454
  • [3] Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain
    Ferrero, Rosana
    Lima, Mauricio
    Luis Gonzalez-Andujar, Jose
    [J]. PLOS ONE, 2014, 9 (05):
  • [4] Declining yield potential and shrinking yield gaps of maize in the North China Plain
    Wang, Jing
    Wang, Erin
    Yin, Hong
    Feng, Liping
    Zhang, Jianping
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2014, 195 : 89 - 101
  • [5] The application of the spatio-temporal data mining algorithm in maize yield prediction
    Cao, Liying
    San, Xiaohui
    Zhao, Yueling
    Chen, Guifen
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2013, 58 (3-4) : 507 - 513
  • [6] Spatio-temporal patterns of winter wheat yield potential and yield gap during the past three decades in North China
    Chen, Yi
    Zhang, Zhao
    Tao, Fulu
    Wang, Pin
    Wei, Xing
    [J]. FIELD CROPS RESEARCH, 2017, 206 : 11 - 20
  • [7] Temporal and spatial changes of maize yield potentials and yield gaps in the past three decades in China
    Tao, Fulu
    Zhang, Shuai
    Zhang, Zhao
    Rotter, Reirnund P.
    [J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2015, 208 : 12 - 20
  • [8] Spatio-temporal effects of El Nino events on rainfall and maize yield in Kenya
    Amissah-Arthur, A
    Jagtap, S
    Rosenzweig, C
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2002, 22 (15) : 1849 - 1860
  • [9] Spatio-temporal dynamics analysis of cropland in Northeast China during 1990-2013 based on remote sensing
    Man W.
    Wang Z.
    Liu M.
    Lu C.
    Jia M.
    Mao D.
    Ren C.
    [J]. Wang, Zongming (zongmingwang@iga.ac.cn), 1600, Chinese Society of Agricultural Engineering (32): : 1 - 10
  • [10] Spatio-temporal model for crop yield forecasting
    Saengseedam, Panudet
    Kantanantha, Nantachai
    [J]. JOURNAL OF APPLIED STATISTICS, 2017, 44 (03) : 427 - 440