Spatio-Temporal Dynamics of Non-Grain Production of Cultivated Land in China

被引:11
|
作者
Feng, Yingbin [1 ]
Ke, Mengxue [1 ]
Zhou, Ting [2 ]
机构
[1] Guizhou Univ Finance & Econ, Coll Publ Adm, Guiyang 550025, Peoples R China
[2] Huazhong Agr Univ, Coll Publ Adm, Wuhan 430010, Peoples R China
基金
中国国家自然科学基金;
关键词
spatio-temporal dynamics; non-grain production; cultivated land; AGRICULTURE; POLICIES;
D O I
10.3390/su142114286
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Non-Grain Production is verycommon to see in many areas in China, which threatens food security. To understand the spatio-temporal characteristics of NGP is helpful in mitigating it. This study has applied a new approach to measure the NGP rate. Results show that, the NGP rate reached the peak of 1.49 in 2003 across the 20 selected years. Moreover, the NGP rate was revealed to be higher in the north and the east compared to the south and the west. Additionally, the NGP rate is shown to move from north to south with a total of 68.78 km whenapplying the centroid migration model. The patterns of NGP are shown usingspatial heterogeneity: the high-high agglomeration pattern was revealed mainly in the north, while there are less provinces of this pattern as time goes by. In addition, the Theil index of the NGP rate indicates that the equity of NGP remains at a low level in the first ten years and getslarger and larger in the later ten years.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Spatio-temporal evolution of cultivated land and analysis of influence factors in karst mountainous areas
    Zhang Y.
    Zhou Z.
    Huang D.
    Zhu M.
    Wu Y.
    Sun J.
    Zhou, Zhongfa (fa6897@163.com), 2020, Chinese Society of Agricultural Engineering (36): : 266 - 275
  • [32] Spatio-temporal dynamics of public private partnership projects in China
    Cheng, Zhe
    Ke, Yongjian
    Lin, Jing
    Yang, Zhenshan
    Cai, Jianming
    INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2016, 34 (07) : 1242 - 1251
  • [33] Identification and driving mechanisms of non-grain cultivated land in hilly and mountainous areas based on multi-temporal Sentinel-1A images
    Xu G.
    Lu L.
    Yang C.
    Huang L.
    Wan C.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2023, 39 (22): : 236 - 245
  • [34] SPATIO-TEMPORAL EVOLUTION OF HILLY CULTIVATED-A CASE STUDY IN SICHUAN PROVINCE, CHINA
    Dong Ting-xu
    Qin Qi-ming
    Jiang Hong-bo
    Ke Hua-ming
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 684 - 687
  • [35] Quantifying the spatiotemporal dynamics and multi-aspect performance of non-grain production during 2000-2015 at a fine scale
    Su, Yue
    Li, Chenlu
    Wang, Ke
    Deng, Jinsong
    Shahtahmassebi, Amir Reza
    Zhang, Leping
    Ao, Weijiu
    Guan, Tao
    Pan, Yi
    Gan, Muye
    ECOLOGICAL INDICATORS, 2019, 101 : 410 - 419
  • [36] Spatio-temporal difference analysis of cultivated land use intensity based on emergy in the Poyang Lake Eco-economic Zone of China
    Xie, Hualin
    He, Yafen
    Zou, Jinlang
    Wu, Qun
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2016, 26 (10) : 1412 - 1430
  • [37] Spatio-temporal difference analysis of cultivated land use intensity based on emergy in the Poyang Lake Eco-economic Zone of China
    Hualin Xie
    Yafen He
    Jinlang Zou
    Qun Wu
    Journal of Geographical Sciences, 2016, 26 : 1412 - 1430
  • [38] Monitoring the Spatio-Temporal Changes of Non-Cultivated Land via Long-Time Series Remote Sensing Images in Xinghua
    Zhang, Sen
    Zhang, Hebing
    Gu, Xiaohe
    Liu, Jinbao
    Yin, Ziyan
    Sun, Qian
    Wei, Zhonghui
    Pan, Yuchun
    IEEE ACCESS, 2022, 10 : 84518 - 84534
  • [39] A coupled model for simulating spatio-temporal dynamics of land-use change: A case study in Changqing, Jinan, China
    Zheng, Xin-Qi
    Zhao, Lu
    Xiang, Wei-Ning
    Li, Ning
    Lv, Li-Na
    Yang, Xin
    LANDSCAPE AND URBAN PLANNING, 2012, 106 (01) : 51 - 61
  • [40] Spatio-temporal analysis of land use changes using remote sensing in Horqin sandy land, China
    Zhao, Zhenzhen
    Feng, Jiandi
    SENSOR REVIEW, 2019, 39 (06) : 844 - 856