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

PU Luoman ZHANG Shuwen YANG Jiuchun YAN Fengqin CHANG Liping

PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. 中国地理科学, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z
引用本文: PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. 中国地理科学, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z
PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. Chinese Geographical Science, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z
Citation: PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. Chinese Geographical Science, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z

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

doi: 10.1007/s11769-019-1061-z
基金项目: 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)
详细信息
    通讯作者:

    ZHANG Shuwen.E-mail:zhangshuwen@neigae.ac.cn;YANG Jiuchun.E-mail:yangjiuchun@iga.ac.cn

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

Funds: 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)
More Information
    Corresponding author: ZHANG Shuwen.E-mail:zhangshuwen@neigae.ac.cn;YANG Jiuchun.E-mail:yangjiuchun@iga.ac.cn
  • 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.
  • [1] Albrizio R, Steduto P, 2003. Photosynthesis, respiration and con-servative carbon use efficiency of four field grown crops. Ag-ricultural and Forest Meteorology, 116(1):19-36. doi: 10.1016/s0168-1923(02)00252-6.
    [2] Cai Jie, Li Shiping, 2014. Social effects evaluation of high-standard primary farmland construction project based on entropy-weighted method and extension model. China Land Sciences, 28(10):40-47. (in Chinese)
    [3] Cao Limei, 2016. A case study on the comprehensive effect as-sessment of well-facilitated farmland construction in Fuxin city:taking Fuxin City, Zhangwu County, Wufeng Town, Luanshanzi village as an example. Management Observer, (28):84-86. (in Chinese)
    [4] Chen Ying, Wang Dong, Wang Shunran, 2017. Time arrangement of excellent-criterion farmland construction in loess hill and gully region:a case study of Maiji District, Tianshui City. Acta Agriculture Zhejiangensis, 29(4):660-667. (in Chinese)
    [5] Cheng W X, Sims D A, Luo Yiqi et al., 2000. Photosynthesis, respiration, and net primary production of sunflower stands in ambient and elevated atmospheric CO2 concentrations. Global Change Biology, 6(8):931-941. doi:10.1046/j.1365-2486. 2000.00367.x.
    [6] China Meteorological Administration, 2012-2016. China's Mete-orological Disaster Yearbook (2011-2015). Beijing:China Meteorological Press.
    [7] Cui Yong, Liu Zhiwei, 2014. A GIS-based Approach for Suitability Evaluation of well-facilitated primary farmland Consolidation:a case from Huairou in Beijing. China Land Sciences, 28(09):76-81+94+97. (in Chinese)
    [8] Currie P, Chen P, 2001. Anatomy of Sinosauropteryx prima from Liaoning, northeastern China. Canadian Journal of Earth Sci-ences, 38:1705-1727.
    [9] Deng Zhe, Tang Yiyuan, Wang Wanqiu et al., 2016. Major issues and countermeasures in the construction of high-standard farmland in hilly and mountainous region:taking Yilong County in Sichuan Province as an example. Journal of Anhui Agricultural Sciences, 44(33):196-197+238. (in Chinese)
    [10] Fan Yuanhua, Lu Weiyang, Le Wennian, 2016. Evaluation analysis and research on well-facilitated farmland construction ef-fectiveness. China Agricultural Information, (13):40. (in Chinese)
    [11] Gifford R M, 1995. Whole plant respiration and photosynthesis of wheat under increased CO2 concentration and temperature:Long-term vs. short-term distinctions for modelling. Global Change Biology, 1(6):385-396. doi:10.1111/j.1365-2486. 1995.tb00037.x
    [12] Hu Yaoming, Meng Jin, Li Chuankui et al., 2013. New basal eu-therian mammal from the Early Cretaceous Jehol biota, Liao-ning, China. Proceedings. Biological sciences/The Royal Soci-ety, 277:229-236. (in Chinese)
    [13] Huang Jinfa, Ni Xiongwei, Shi Yanping, 2013. Evaluation and analysis on effectiveness of high standard basic farmland fer-tility construction in Jiaxing city. Acta Agriculturae Zhejiangensis, 25(3):582-586. (in Chinese)
    [14] Jiang Yuchen, Sun Pengju, Liu Xuelu et al., 2015. Ecological benefit evaluation on high standards for construction of basic farmland in Zhangye. Journal of Gansu Agricultural Univer-sity, 50(06):126-131. (in Chinese)
    [15] Lan Chun, 2016. Study on the Well-facilitated Capital Farmland Construction Projects in Anhui Province. Hefei:Anhui Uni-versity. (in Chinese)
    [16] Li Hongjun, Zheng Li, Lei Yuping et al., 2007. Comparison of NDVI and EVI based on EOS/MODIS data. Progress in Ge-ography, (01):26-32. (in Chinese)
    [17] Li Ting, Wu Kening, Song Wen et al., 2018. Time sequence divi-sion of well-facilitated capital farmland construction based on suitability and obstacle indicators:a case study of Puyang County, Henan Province. Acta Agriculturae Universitatis Jiangxiensis, 40(01):206-214. (in Chinese)
    [18] Liu Qingzhao, 2015. Evaluation of well-facilitated farmland con-struction sustainability of Jinchang City, Jinchuan District, ShuangwanTown. Agricultural Science-technology and In-formation, (14):90-92. (in Chinese)
    [19] Liu Xunhao, 1993. Chinese Cropping System. Beijing:Agriculture Press, 12-15. (in Chinese)
    [20] Liu Yulan, 2009. Research on regionalization of soil and water conservation tillage measures in Loess Plateau Region. Xian-yang:Northwest A&F University. (in Chinese)
    [21] Lu Chuan, Qin Xiangyang, Li Qifeng et al., 2013. Methodology of farming system regionalization supported by quantitative analysis. Chinese Agricultural Science Bulletin, 29(05):86-91. (in Chinese)
    [22] Luo Liang, Yan Huimin, Niu Zhongen, 2018. Comparative analy-sis on three multi-source remote sensing data fusion models in monitoring farmland productivity. Journal of Geo-information Sciences, 20(02):268-279. (in Chinese)
    [23] Luo Yiqi, Sims D A, Thomas R B et al., 1996. Sensitivity of leaf photosynthesis to CO2 concentration is an invariant function for C3 plants:a test with experimental data and global applications. Global Biogeochemical Cycles, 10(2):209-222. doi: 10.1029/96GB00438
    [24] Niu Zhongen, Yan Huimin, Chen Jingqing et al., 2016. Compari-son of crop gross primary productivity estimated with VPM model and MODI7 product in field ecosystem of China. Transactions of the Chinese Society of Agricultural Engineer-ing, 32(04):191-198. (in Chinese)
    [25] Niu Zhongen, Yan Huimin, Huang Mei et al., 2016. Agricultural Productivity Estimation with MODIS-OLI Fusion Data. Jour-nal of Natural Resources, 31(05):875-885. (in Chinese)
    [26] Statistical Bureau of Liaoning, 2014. Liaoning Statistical Yearbook (2013). Beijing:China Statistical Press, 257-272.
    [27] Sun Bo, Li Shujie, Liu Yanan et al., 2017. Study on the potentiality and regional distribution of high standard basic farmland:taking Yanbian as an example. Hubei Agricultural Sciences, 56(12):2228-2233. (in Chinese)
    [28] Wang Wenhao, 2013. Study on Post-evaluation Index System of High Standard Irrigation and Drainage Project. Xianyang:Northwest A&F University. (in Chinese)
    [29] Wang Xinpan, Jiang Guanghui, Zhang Ruijuan et al., 2013. Zoning approach of suitable areas for high quality capital farmland construction. Transactions of the Chinese Society of Agricul-tural Engineering, 29 (10):241-250. (in Chinese)
    [30] Wang Xinrui, Li Shuangyi, Su Li et al., 2015. Quality Construction Standards of high-standard farmland in the Hilly Terrace of Black Soil Regions of Northeast China. China Pulation, Resources and Environment, 25(S1):551-554. (in Chinese)
    [31] Xiao Xiangming, Boles, S, Liu Jiyuan et al, 2005. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sensing of Environment, 95(4):480-492. doi: 10.1016/j.rse.2004.12.009.
    [32] Xin Guixin, Yang Chaoxian, Yang Qingyuan et al., 2017. Post-evaluation of well-facilitated capital farmland construction based on entropy weight method and improved TOPSIS model. Transactions of the Chinese Society of Agricultural Engineering, 33(01):238-249. (in Chinese)
    [33] Xue Jian, 2014. Study on the criteria and construction approach for well-facilitated farmland. Beijing:China Agricultural University. (in Chinese)
    [34] Yan Huimin, Liu Jiyuan, Huang Heqing et al., 2012. Impacts of cropland transformation on agricultural production under ur-banization and Grain for Green Project in China. Acta Geo-graphica Sinica, 67(5):579-588. (in Chinese).
    [35] Yan Huimin, Ji Yongzan, Liu Jiyuan et al., 2016. Potential pro-moted productivity and spatial patterns of medium-and low-yield cropland land in China. Journal of Geographical Sciences, 26(3):259-271. doi: 10.1007/s11442-016-1267-2
    [36] Zhao Dongling, He Shanshan, Lin Shangwei et al., 2017. Selection of high-standard farmland construction priority area based on TOPSIS and Hotspot Analysis. Transactions of the Chinese So-ciety of Agricultural Engineering, 48(07):153-158. (in Chinese)
    [37] Zhao Suxia, Niu Haipeng. Zhang Hebing et al., 2018. Construction and Application of Obstacle Diagnosis Model Based on Ecological Niche on Well-facilitated Farmland. Transactions of the Chinese Society for Agricultural Machinery, 49(01):194-202. (in Chinese)
    [38] Zhao Suxia, Niu Haipeng, Zhang Hanwei et al., 2016. Suitability evaluation on high quality capital farmland consolidation based on niche-fitness model. Transactions of the Chinese Society of Agricultural Engineering, 32(12):220-228. (in Chinese)
    [39] Zhao Wei, Li Zhaoliang, 2007. Impact of drought on the vegetation state using MODIS/EVI time-series data. Progress in Ge-ography, 06:40-47+145. (in Chinese)
    [40] Zheng Shijie, Chen Ying, Bai Zhiyuan et al., 2014. Fine assess-ment of building a high-standard prime farmland:taking LinxaCounty, Beiyuan Area as an example. Chinese Agri-cultural Sciences Bulletin, 30(9):207-212. (in Chinese)
    [41] Zhou Zhonghe, Wang Xiaolin, 2000. A newspecies of Caudipteryx from the Yixian formation of Liaoning, northeast China. Vertebrata Palasiatica, 38. (in Chinese)
    [42] Zhuang Qian, 2016. Comprehensive productivity capacity evalu-ation of well-facilitated farmland in Jiangsu Province based on AHP. Jiangsu Agricultural Sciences, 44(06):511-515. (in Chinese)
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  • 收稿日期:  2018-11-11
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Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015

doi: 10.1007/s11769-019-1061-z
    基金项目:  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)
    通讯作者: ZHANG Shuwen.E-mail:zhangshuwen@neigae.ac.cn;YANG Jiuchun.E-mail:yangjiuchun@iga.ac.cn

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.

English Abstract

PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. 中国地理科学, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z
引用本文: PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. 中国地理科学, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z
PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. Chinese Geographical Science, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z
Citation: PU Luoman, ZHANG Shuwen, YANG Jiuchun, YAN Fengqin, CHANG Liping. Assessment of High-standard Farmland Construction Effectiveness in Liaoning Province During 2011–2015[J]. Chinese Geographical Science, 2019, 20(4): 667-678. doi: 10.1007/s11769-019-1061-z
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