Spatio-Temporal Distribution Characteristics and Driving Factors of Main Grain Crop Water Productivity in the Yellow River Basin

被引:5
|
作者
Zhang, Yan [1 ]
Wang, Feiyu [2 ]
Du, Zhenjie [3 ]
Dou, Ming [4 ]
Liang, Zhijie [1 ]
Gao, Yun [3 ]
Li, Ping [1 ,3 ]
机构
[1] Chinese Acad Agr Sci, Farmland Irrigat Res Inst, Xinxiang 453002, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
[3] Minist Agr, Lab Qual & Safety Risk Assessment Agroprod Water E, Xinxiang 453002, Peoples R China
[4] Zhengzhou Univ, Sch Ecol & Environm, Zhengzhou 450001, Peoples R China
来源
PLANTS-BASEL | 2023年 / 12卷 / 03期
基金
中国国家自然科学基金;
关键词
water productivity; discrepancy characteristics; driving factors; contribution rate; Yellow River Basin; WINTER-WHEAT; IRRIGATION DISTRICT; YIELD; RICE; VARIABILITY; TRENDS;
D O I
10.3390/plants12030580
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
To reveal the relationship between agricultural water resource consumption and grain production in the Yellow River Basin, the irrigation water productivity (WPI), crop water productivity (WPC), total inflow water productivity (WPT), and eleven influencing factors were selected. The spatial and temporal distribution characteristics and driving factors of water productivity of the main crops in the Yellow River Basin were analyzed with the spatial autocorrelation analysis, grey correlation analysis, sensitivity analysis, and relative contribution rate. The results showed that the minimum mean values of WPI, WPC, and WPT were 0.22, 0.35, and 0.18 kg/m(3) in Qinghai, respectively, the maximum mean value of WPI was 2.11 kg/m(3) in Henan, and the maximum mean values of WPC and WPT were 0.71 and 0.61 kg/m(3) in Shandong, respectively. The changing trends in WPI and WPT in Qinghai and in WPC in Shandong were insignificant, whereas the WPI, WPC, and WPT in other provinces showed a significant increasing trend. Water productivity displayed a certain spatial clustering feature in the Yellow River Basin in different years, such as a high-high (H-H) aggregation in Henan in 2005, and an H-H aggregation in Shanxi in 2015 for WPI. The water productivity had a significant positive correlation with the consumption of chemical fertilizer with a 100% effective component (CFCEC), effective irrigated area (EIA), plastic film used for agriculture (PFUA), and total power of agricultural machinery (AMTP), while it had a significant negative correlation with the persons engaged in rural areas (PERA). There was a large grey correlation degree between the water productivity and the average annual precipitation (AAP), CFCEC, PFUA, consumption of chemical pesticides (CFC), and AMTP in the Yellow River Basin, but their sensitivity was relatively small. The main driving factors were EIA (8.98%), agricultural water (AW, 15.55%), AMTP (12.64%), CFCEC (12.06%), and CPC (9.77%) for WPI; AMTP (16.46%), CFCEC (13.25%), average annual evaporation (AAE, 12.94%), EIA (10.49%), and PERA (10.19%) for WPC; and EIA (14.26%), AMTP (13.38%), AAP (12.30%), CFCEC (10.49%), and PFUA (9.69%) for WPT in the Yellow River Basin. The results can provide support for improving the utilization efficiency of agricultural water resources, optimizing the allocation of water resources, and implementing high-quality agricultural developments in the Yellow River Basin.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Spatio-Temporal Evaluation of Water Resources System Resilience and Identification of Its Driving Factors in the Yellow River Basin
    Li, Jiaqi
    He, Weijun
    Jiang, Enhui
    Qu, Bo
    Yuan, Liang
    Degefu, Dagmawi Mulugeta
    Ramsey, Thomas Stephen
    WATER, 2024, 16 (03)
  • [2] Spatio-Temporal Variation and Climatic Driving Factors of Vegetation Coverage in the Yellow River Basin from 2001 to 2020 Based on kNDVI
    Feng, Xuejuan
    Tian, Jia
    Wang, Yingxuan
    Wu, Jingjing
    Liu, Jie
    Ya, Qian
    Li, Zishuo
    FORESTS, 2023, 14 (03):
  • [3] Analysis of spatio-temporal changes in net primary productivity and their driving factors in ecological functional areas of the Yellow River Basin
    Wang, Yingxuan
    Tian, Jia
    Feng, Xuejuan
    Ren, Yi
    Wu, Guowei
    Ji, Jinnan
    ECOLOGICAL ENGINEERING, 2024, 203
  • [4] Spatio-Temporal Patterns and Driving Factors of Green Development Level of Urban Agglomerations in the Yellow River Basin
    Wang, Haijie
    Zhang, Jingxue
    EMERGING MARKETS FINANCE AND TRADE, 2024, 60 (04) : 724 - 743
  • [5] Tracking the spatio-temporal change of the main food crop planting structure in the Yellow River Basin over 2001-2020
    Chen, Xinguo
    Huang, Quanzhong
    Xiong, Yunwu
    Yang, Qianru
    Li, Haozhi
    Hou, Zelin
    Huang, Guanhua
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 212
  • [6] Identifying the spatio-temporal pattern of drought characteristics and its constraint factors in the Yellow River Basin
    Gao, Yuhang
    Fu, Shiyuan
    Cui, Haitang
    Cao, Qian
    Wang, Zheye
    Zhang, Zhengtao
    Wu, Quanyuan
    Qiao, Jianmin
    ECOLOGICAL INDICATORS, 2023, 154
  • [7] Spatio-temporal dynamics of groundwater storage changes in the Yellow River Basin
    Lin, Mi
    Biswas, Asim
    Bennett, Elena M.
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019, 235 : 84 - 95
  • [8] Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China
    Li, Xiaolin
    Tong, Ling
    Niu, Jun
    Kang, Shaozhong
    Du, Taisheng
    Li, Sien
    Ding, Risheng
    AGRICULTURAL WATER MANAGEMENT, 2017, 179 : 55 - 63
  • [9] Spatio-temporal analysis of vegetation variation in the Yellow River Basin
    Jiang, Weiguo
    Yuan, Lihua
    Wang, Wenjie
    Cao, Ran
    Zhang, Yunfei
    Shen, Wenming
    ECOLOGICAL INDICATORS, 2015, 51 : 117 - 126
  • [10] Identifying the water quality variation characteristics and their main driving factors from 2008 to 2020 in the Yellow River Basin, China
    Shasha Liu
    Yue Qiu
    Rui Fu
    Yun Liu
    Chengyu Suo
    Environmental Science and Pollution Research, 2023, 30 : 66753 - 66766