Impacts of change in multiple cropping index of rice on hydrological components and grain production in the Zishui River Basin, Southern China

IF 5.9 1区 农林科学 Q1 AGRONOMY
Chengcheng Yuan , Xinlin Li , Yufeng Wu , Gary W. Marek , Srinivasulu Ale , Raghavan Srinivasan , Yong Chen
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Abstract

Recent declines in the rice Multiple Cropping Index (MCI) have reshaped grain production and water dynamics across Southern China, yet their effects on production stability and watershed hydrology, particularly in subtropical hilly regions, remain insufficiently studied. To address this, we extracted the current rice cropping structure in the Zishui River Basin (ZRB), Hunan Province, leveraging high-resolution Remote Sensing (RS) data. A planting suitability evaluation system for double cropping rice was developed by integrating climatic, soil, and site conditions through an Analytic Hierarchy Process (AHP) and GIS overlay. Based on these inputs, alternative rice cropping scenarios were simulated using the Soil and Water Assessment Tool (SWAT) to evaluate changes in hydrology and yield. The current rice planting scenario (S0) included 27.4 % single and 72.6 % double cropping areas, while 81.5 % of paddy fields were suitable for double cropping. The SWAT model, parameterized with RS-derived structures, achieved excellent streamflow simulation, with a Nash–Sutcliffe efficiency (NSE) of 0.86 and 0.88 during calibration and validation periods, and percent bias (PBIAS) of 4.5 % and 3.1 %, respectively. Simulation results indicated that the optimized rice planting structure (S3) enhanced rice yield with minimal hydrological impacts. Compared to S0, S3 increased irrigation, evapotranspiration, percolation, and rice yield by 4.8 %, 1.4 %, 5.5 %, and 4.0 %, respectively, while full double cropping scenario (S2) achieved an 11.0 % yield increase but raised irrigation demand by 11.2 %. The opposite results were found for full single cropping rice scenario (S1). This study demonstrates RS-coupled watershed modeling as a robust framework for optimizing rice cropping systems and promoting sustainable agriculture in subtropical hilly regions.
水稻复种指数变化对紫水流域水文成分及粮食生产的影响
近年来,水稻复种指数(MCI)的下降重塑了中国南方的粮食生产和水动态,但其对生产稳定性和流域水文的影响,特别是在亚热带丘陵地区,仍未得到充分研究。为了解决这一问题,我们利用高分辨率遥感(RS)数据提取了湖南省自水河流域(ZRB)当前的水稻种植结构。采用层次分析法(AHP)和GIS叠加技术,综合气候、土壤和立地条件,构建了双季稻适宜性评价体系。基于这些输入,利用水土评估工具(SWAT)模拟了不同水稻种植情景,以评估水文和产量的变化。目前的水稻种植方案(S0)包括27.4% %的单作区和72.6 %的双作区,而81.5 %的稻田适合双作。采用rs衍生结构参数化的SWAT模型取得了优异的流场模拟效果,在校准和验证期间,Nash-Sutcliffe效率(NSE)分别为0.86和0.88,百分比偏差(PBIAS)分别为4.5 %和3.1 %。模拟结果表明,优化的水稻种植结构(S3)在水文影响最小的情况下提高了水稻产量。与S0相比,S3使灌溉、蒸散、渗滤和水稻产量分别提高了4.8 %、1.4 %、5.5 %和4.0 %,而完全两熟方案(S2)的产量增加了11.0 %,但灌溉需求增加了11.2 %。在全单季水稻情景下(S1)则发现相反的结果。该研究证明rs耦合流域模型是优化亚热带丘陵地区水稻种植制度和促进可持续农业的强大框架。
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来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
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