From multiple cropping frequency to multiple cropping system: A new perspective for the characterization of cropland use intensity

文献类型： 外文期刊

第一作者： Shen, Ge

作者： Shen, Ge;Shen, Ge;Yu, Qiangyi;Wang, Cong;Wu, Wenbin;Zhou, Qingbo

作者机构：

关键词： Multiple cropping system; Agricultural intensification; Cropping intensity; Crop rotation; Mapping

期刊名称：AGRICULTURAL SYSTEMS （ 影响因子：6.765； 五年影响因子：7.131 ）

ISSN： 0308-521X

年卷期： 2023 年 204 卷

页码：

收录情况： SCI

摘要： CONTEXT: Multiple cropping is a widespread agricultural practice that can partly reflect cropland use intensity. Previous studies have largely focused on harvest frequencies within an annual (e.g., multiple cropping frequency [MCF]) or multiannual basis. However, the complexity of cropland use intensity, which combines different cropping and fallow strategies, has not been fully investigated. Moreover, such information is particularly lacking at the regional scale. OBJECTIVE: This study proposed a new perspective of multiple cropping system (MCS), and developed a method for mapping stable MCSs for a prolonged time. METHODS: We selected an agricultural region (Poyang Lake Plain, Jiangxi Province, China) and proposed four stable MCSs in terms of the number of crops (C) grown in a given number of years (Y) defined by the length of crop rotation: Continuous single-cropping system (1C/1Y), continuous double-cropping system (2C/1Y), and two alternating systems (3C/2Y and 5C/3Y). To map MCSs, we first obtained the remote-sensing-observed annual MCF from 2001 to 2018. Second, total harvests, frequency, and continuity were proposed based on multi-year MCF information to classify each pixel as one of the four proposed MCSs. Total harvests were defined as the total number of harvests over the observation period. Frequency was defined as the total number of rotation units over the observation period for a given MCS. We defined continuity as the largest number of consecutive years under a given MCS. Finally, we determined the final type of an MCS using decision rules considering the three indicators. RESULTS AND CONCLUSIONS: The results showed that the overall accuracy of the MCF maps were > 90%, and the overall accuracy of MCS map was 87.8%. We found that 84.4% of croplands could be characterized as one of the four MCSs: 2C/1Y accounted for the largest area (38.1%), followed by the two alternating systems (together they accounted for 48.6% of the total), and finally 1C/1Y. SIGNIFICANCE: The results of our study suggest that multiple cropping practices should be characterized from the cropping system perspective. The MCS mapping method has great potential for large-scale crop rotation system mapping, and the MCS mapping results could help explore the combined effects of different cropping systems and further provide strategies for optimizing the spatially adapted practices in agricultural land systems.

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