中国地理科学 ›› 2019, Vol. 20 ›› Issue (4): 667-678.doi: 10.1007/s11769-019-1061-z

• 论文 • 上一篇    下一篇

Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015

PU Luoman1,2,3, ZHANG Shuwen2, YANG Jiuchun2, YAN Fengqin2, CHANG Liping2   

  1. 1. College of Earth Science, Jilin University, Changchun 130061, China;
    2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
    3. Center for Spatial Analysis, Department of Microbiology and Plant Biology, Uni-versity of Oklahoma, Norman 73019, USA
  • 收稿日期:2018-11-11 修回日期:2018-07-14 出版日期:2019-08-27 发布日期:2019-06-28
  • 通讯作者: ZHANG Shuwen.E-mail:zhangshuwen@neigae.ac.cn;YANG Jiuchun.E-mail:yangjiuchun@iga.ac.cn E-mail:zhangshuwen@neigae.ac.cn;yangjiuchun@iga.ac.cn
  • 基金资助:

    Under the auspices of National Key Research and Development Program (No. 2017YFC0504202), Technological Basic Research Program of China (No. 2017FY101301), China Scholarship Council (No. 201806170212)

Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015

PU Luoman1,2,3, ZHANG Shuwen2, YANG Jiuchun2, YAN Fengqin2, CHANG Liping2   

  1. 1. College of Earth Science, Jilin University, Changchun 130061, China;
    2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
    3. Center for Spatial Analysis, Department of Microbiology and Plant Biology, Uni-versity of Oklahoma, Norman 73019, USA
  • Received:2018-11-11 Revised:2018-07-14 Online:2019-08-27 Published:2019-06-28
  • Contact: ZHANG Shuwen.E-mail:zhangshuwen@neigae.ac.cn;YANG Jiuchun.E-mail:yangjiuchun@iga.ac.cn E-mail:zhangshuwen@neigae.ac.cn;yangjiuchun@iga.ac.cn
  • Supported by:

    Under the auspices of National Key Research and Development Program (No. 2017YFC0504202), Technological Basic Research Program of China (No. 2017FY101301), China Scholarship Council (No. 201806170212)

摘要:

At present, the large-scale construction of high-standard farmland in China has improved the quality of cropland and crop production and enhanced the eco-environmental security. To obtain a comprehensive understanding of high-standard farmland construction in Liaoning Province of China during the 12th five-year period (2011-2015), through on-the-spot investigations and remote sensing monitoring, this study assessed the construction effectiveness of ten typical sampling projects in Liaoning Province and then presented practical suggestions. The main conclusions were as follows. 1) The ranges of increase in productivity of the ten sampling projects in Liaoning Province all surpassed the goal of 1500 kg/ha. 2) Among all sampling project areas, the levels of productivity stability of nine sampling projects were higher than that of the surrounding farmland in a severe drought year. However, the productivity stability of the high-standard farmland construction project in Faku County, Yiniupu Town, declined by 1.04% compared with the surrounding farmland. 3) Except for the high-standard farmland construction project in Dengta City, Dengta Irrigation Region, the productivity uniformity of the other nine sampling projects increased by 3.30%-88.10%. 4) Eight of the ten sampling projects belonged to Class 1, and two projects belonged to Class 2, showing that the effectiveness of high-standard farmland construction in Liaoning Province was quite good. There were some suggestions for high-standard farmland construction in the future. All departments should strengthen cooperation and formulate corresponding protection and development strategies suitable for local conditions. Additionally, lasting management mechanisms should also be established. Using remote sensing monitoring to assess the high-standard farmland construction effectiveness during the 12th five-year period could provide experience and decision-making support for high-standard farmland construction in the future.

关键词: high-standard farmland, remote sensing monitoring, productivity stability, productivity uniformity, Liaoning Province, China

Abstract:

At present, the large-scale construction of high-standard farmland in China has improved the quality of cropland and crop production and enhanced the eco-environmental security. To obtain a comprehensive understanding of high-standard farmland construction in Liaoning Province of China during the 12th five-year period (2011-2015), through on-the-spot investigations and remote sensing monitoring, this study assessed the construction effectiveness of ten typical sampling projects in Liaoning Province and then presented practical suggestions. The main conclusions were as follows. 1) The ranges of increase in productivity of the ten sampling projects in Liaoning Province all surpassed the goal of 1500 kg/ha. 2) Among all sampling project areas, the levels of productivity stability of nine sampling projects were higher than that of the surrounding farmland in a severe drought year. However, the productivity stability of the high-standard farmland construction project in Faku County, Yiniupu Town, declined by 1.04% compared with the surrounding farmland. 3) Except for the high-standard farmland construction project in Dengta City, Dengta Irrigation Region, the productivity uniformity of the other nine sampling projects increased by 3.30%-88.10%. 4) Eight of the ten sampling projects belonged to Class 1, and two projects belonged to Class 2, showing that the effectiveness of high-standard farmland construction in Liaoning Province was quite good. There were some suggestions for high-standard farmland construction in the future. All departments should strengthen cooperation and formulate corresponding protection and development strategies suitable for local conditions. Additionally, lasting management mechanisms should also be established. Using remote sensing monitoring to assess the high-standard farmland construction effectiveness during the 12th five-year period could provide experience and decision-making support for high-standard farmland construction in the future.

Key words: high-standard farmland, remote sensing monitoring, productivity stability, productivity uniformity, Liaoning Province,China