吴心怡, 金晓斌, 韩博, 徐伟义, 任婕, 孙瑞, 周寅康. 2001-2017年四川省耕地产能变化与潜力特征分析[J]. 农业工程学报, 2021, 37(3): 238-249. DOI: 10.11975/j.issn.1002-6819.2021.03.029
    引用本文: 吴心怡, 金晓斌, 韩博, 徐伟义, 任婕, 孙瑞, 周寅康. 2001-2017年四川省耕地产能变化与潜力特征分析[J]. 农业工程学报, 2021, 37(3): 238-249. DOI: 10.11975/j.issn.1002-6819.2021.03.029
    Wu Xinyi, Jin Xiaobin, Han Bo, Xu Weiyi, Ren Jie, Sun Rui, Zhou Yinkang. Characteristics of cultivated land productivity change and potential during 2001-2017 in Sichuan Province, China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(3): 238-249. DOI: 10.11975/j.issn.1002-6819.2021.03.029
    Citation: Wu Xinyi, Jin Xiaobin, Han Bo, Xu Weiyi, Ren Jie, Sun Rui, Zhou Yinkang. Characteristics of cultivated land productivity change and potential during 2001-2017 in Sichuan Province, China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(3): 238-249. DOI: 10.11975/j.issn.1002-6819.2021.03.029

    2001-2017年四川省耕地产能变化与潜力特征分析

    Characteristics of cultivated land productivity change and potential during 2001-2017 in Sichuan Province, China

    • 摘要: 提高耕地产能对于满足中国日益增长的粮食安全需求有重要意义。该研究基于MODIS-EVI数据,通过构建作物EVI生长曲线,利用二次差分法及阈值法提取耕地复种指数并计算最优生长时长(Most Active Day, MAD)表征耕地产能变化,分析了2001-2017年四川省复种指数不变区内单季作物种植区,双季作物的第一、二季种植区内耕地产能变化及潜力特征。结果表明:1)研究期内四川省93.5%的耕地复种指数未发生变化,复种指数不变区内熟制以一年一季(占总耕地面积的88.3%)和一年两季(占总耕地面积的2.7%)为主;2)研究期内四川省单季作物产能显著下降与显著提升区分别占总面积的24.0%和33.2%,产能稳定区占比最大;双季中第一、二季作物产能分别呈先降后升和波动下降趋势,产能变化耕地面积分别占总面积的62.1%和49.4%;3)双季作物产能提升潜力大。研究期内四川省单季作物产能提升区和产能下降区产能提升潜力小于40%的耕地占比分别为83.8%和71.4%;双季作物第一、二季作物产能提升区内产能提升潜力大于40%的耕地分别占89.5%和67.6%。双季作物产能提升潜力大于80%的耕地面积超过一半,表明四川省双季作物的耕地产能仍有较大的提升空间。该研究所提出的耕地产能量化方法,可以应用于大尺度、长时间序列的耕地产能变化监测、耕地产能提升潜力空间识别等,可为优化耕地产能监测方法、促进耕地保护政策与规划制定提供借鉴。

       

      Abstract: Productivity of cultivated land needs to be greatly improved for the ever-growing demand for food security in China. Monitoring the productivity of cultivated land can contribute to figuring out the background of food security for the decision-making on protection policies of targeted farmland. In this study, a Savitzky-Golay filter was selected to rebuild the smoothing Enhanced Vegetation Index (EVI) curve of crop growth using the moderate resolution imaging spectroradiometer (MODIS)-EVI data. The moving window method was utilized to eliminate the possible impact of climate factors on crop yield and extract the Multiple Crop Index (MCI) of cultivated land from the EVI growth curve by the quadratic difference method. The threshold method was used to calculate the optimal growth time (Most Active Day, MAD) and characterize the change of farmland productivity. Taking Sichuan Province of China from 2001 to 2017 as a research object, an attempt was made to analyze the spatial distribution and potential characteristics of cultivated land productivity. The results were obtained: 1) The Multiple Cropping Index (MCI) of 93.5% of cultivated land in Sichuan Province remained unchanged from 2001 to 2017. The areas with changed MCI were mainly concentrated in Chengdu city and all around, such as Meishan and Deyang. The cropping system in the MCI constant zone was dominated by a single-cropping system (accounting for 88.3% of the total arable land) and a double-cropping system (2.7% of that); 2) There was a great variation in the productivity of cultivated land in Sichuan Province from 2001 to 2017. The area that single-season crop productivity significantly reduced and increased accounted for 24.0% and 33.2% of the total cultivated land. The decreased areas were distributed mainly in the northeastern (Nanchong, Guangyuan) and southern (Neijiang, Zigong, Yibin) Sichuan. In the double-season crop, the areas with the changing productivity of the first and second crops were 62.1% and 49.4% of cultivated land, respectively, indicating a trend of first decreasing and then rising and fluctuating declining. 3) There was much potential growth for the double-season crops, but not for the single-season crops. The cultivated land, whose productivity improvement potential of single-season crops was less than 40%, accounted for 83.8% and 71.4% in the productivity upgrading and declining areas, respectively. Those in productivity improvement potential of greater than 40% for the first and second crops in a double-cropping system were 89.5% and 67.6%, in productivity decreased areas, respectively. Over 50% of the areas indicated productivity improvement potential greater than 80% in the cultivated land of declining productivity. The areas of high productivity improvement potential were located mainly in the Chengdu Plain and surroundings, which were dominated by the double cropping system. The proposed method can be expected to monitor the large-scale and long-term sequence of productivity change, thereby identifying the productivity improvement potential of farmland. The finding can provide a sound reference to optimize farmland productivity in the protection policy and planning.

       

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