Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data

被引:4
|
作者
Chen, Senzheng [1 ,2 ,3 ]
Ye, Huichun [1 ,2 ,3 ]
Nie, Chaojia [1 ]
Wang, Hongye [4 ]
Wang, Jingjing [5 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] Guilin Univ Elect Technol, Sch Comp Sci & Informat Secur, Guilin 541004, Peoples R China
[3] China ASEAN Reg Innovat Ctr Big Earth Data, Nanning 530022, Peoples R China
[4] Minist Agr & Rural Affairs, Cultivated Land Qual Monitoring & Protect Ctr, Beijing 100125, Peoples R China
[5] Hainan Univ, Sch Forestry, Haikou 570228, Peoples R China
来源
AGRICULTURE-BASEL | 2023年 / 13卷 / 05期
关键词
sugarcane; cultivation suitability; assessment cultivation; multi-source data; AHP; MODELS; LAND;
D O I
10.3390/agriculture13050988
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Conducting suitability assessment for sugarcane cultivation is of great significance for optimizing the sugarcane cultivation structure and industrial layout. In this paper, based on the requirements of sugarcane growth and development on climate, terrain, and other environmental conditions, as well as the influence of natural disasters, a total of 11 specific indicators in terms of climate factor, terrain factor, and disaster factor were selected to construct a sugarcane cultivation suitability assessment system based on the analytic hierarchy process (AHP). Then, using Guangxi Province, China, as an example, a suitability assessment for sugarcane cultivation was conducted using multi-source data on climate, terrain, and hazards over the past 30 years. The results showed that among 11 indicators, including annual average temperature, elevation had the largest contribution rate, followed by precipitation during the period of =20( ?)C, slope, and the autumn drought frequency. From the spatial distribution, 37% of the provincial regions were suitable for sugarcane cultivation, mainly distributed in Chongzuo City, Nanning City, Qinzhou City, and Beihai City. In total, 44% of the provincial regions were moderately suitable for sugarcane cultivation, mainly distributed in Hezhou City, Laibin City, and Liuzhou City. Additionally, only 19% of the provincial regions were unsuitable for sugarcane cultivation, mainly distributed in Baise City, Hechi City, and Guilin City, with the terrain factor being the main influencing factor of sugarcane suitability assessment. In order to make reasonable use of land resources and increase sugarcane yield, it is suggested that sugarcane cultivation areas should be adjusted to the central and southern regions such as Chongzuo City, Nanning City, Beihai City, and Qinzhou City, and other industries should be developed in the northern regions which are not suitable for sugarcane cultivation.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Dynamic Assessment of Drought Risk of Sugarcane in Guangxi, China Using Coupled Multi-Source Data
    Guga, Suri
    Riao, Dao
    Zhi, Feng
    Sudu, Bilige
    Zhang, Jiquan
    Wang, Chunyi
    REMOTE SENSING, 2023, 15 (06)
  • [2] Research on Multi-source Data Fusion Method Based on Bayesian Estimation
    Sun, Tao
    Yu, Min
    PROCEEDINGS OF 2016 9TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2016, : 321 - 324
  • [3] Multi-Source Data Preprocessing Method Research Based on Python']Python
    Liu, Miao
    Ma, Hongli
    Zhang, Yongzhen
    Yue, Feng
    2024 5TH INTERNATIONAL CONFERENCE ON GEOLOGY, MAPPING AND REMOTE SENSING, ICGMRS 2024, 2024, : 221 - 224
  • [4] A method of gas-related pollution source layout based on multi-source data: A case study of shaanxi province, China
    Yang, Ying
    Xu, Xin
    Wei, Jing
    You, Qian
    Wang, Jun
    Bo, Xin
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 347
  • [5] Analysis of regional photovoltaic power generation suitability in China using multi-source data
    Tong, Hongju
    Lv, Ziyu
    Jiang, Junyi
    Gao, Xingguo
    Wang, Ziqing
    You, Chaoshuai
    Xu, Kun
    Wu, Yuhang
    Pan, Xin
    FRONTIERS IN EARTH SCIENCE, 2025, 12
  • [6] The consistent fuzzy suitability assessment of forest land resources with multi-source heterogeneous data
    Zhang, Junzhe
    Lin, Jian
    Wu, Tao
    Chen, Riqing
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (07)
  • [7] Research on Data Fusion Method of Multi-source Complex System
    Cai, Yuxiang
    JOURNAL OF WEB ENGINEERING, 2021, 20 (05): : 1553 - 1571
  • [8] Research on GDP spatialization approach of Sichuan Province supported by multi-source data
    Xiong, J., 2013, Editorial Board of Journal of Basic Science and (21):
  • [9] Research on security risk assessment mechanism of important event based on multi-source data
    Wang, Qilei
    SCIENTIFIC REPORTS, 2022, 12 (01):
  • [10] Research on security risk assessment mechanism of important event based on multi-source data
    Qilei Wang
    Scientific Reports, 12 (1)