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Evaluation of the impacts of climate variability on rainfed maize production over the Wami-Ruvu basin of Tanzania

机译:评估气候变化对坦桑尼亚Wami-Ruvu盆地雨养玉米生产的影响

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摘要

In this study, the impact of inter-seasonal climate variability on rainfed maize (Zea mays) production over the Wami-Ruvu basin of Tanzania is evaluated. Daily high-resolution climate simulations from the Coordinated Regional Climate Downscaling Experiment_Regional Climate Models (CORDEX_RCMs) are used to drive the Decision Support System for Agro-technological Transfer (DSSAT) to simulate maize yields. Climate simulations for the base period of 35 years (1971-2005) are used to drive DSSAT to simulate maize yields during the historical climate. On the other hand, climate projections for the period 2010-2039 (current), 2040-2069 (mid), and 2070-2099 centuries for two Representative Concentration Pathway (RCP45 and 85) emission scenarios are used to drive DSSAT to simulate maize yields in respective centuries. Statistical approaches based on Pearson correlation coefficient and the coefficients of determination are used in the analysis. Results show that rainfall, maximum temperature, and solar radiation are the most important climate variables that determine variation in rainfed maize yields over the Wami-Ruvu basin of Tanzania. They explain the variability in maize yields in historical climate condition (1971-2005), present century under RCP 4.5, and mid and end centuries under both RCP 4.5 and RCP 8.5.
机译:在这项研究中,评估了季节间气候变化对坦桑尼亚Wami-Ruvu盆地雨养玉米(Zea mays)生产的影响。来自协调的区域气候缩减实验_区域气候模型(CORDEX_RCMs)的每日高分辨率气候模拟被用来驱动农业技术转移决策支持系统(DSSAT)来模拟玉米产量。 35年基期(1971-2005年)的气候模拟被用来驱动DSSAT模拟历史气候中的玉米产量。另一方面,使用两个代表性浓度途径(RCP45和85)排放情景的2010-2039年(当前),2040-2069年(中期)和2070-2099世纪的气候预测来驱动DSSAT模拟玉米产量在各个世纪。分析中使用了基于Pearson相关系数和确定系数的统计方法。结果表明,降雨,最高温度和太阳辐射是决定坦桑尼亚Wami-Ruvu盆地雨养玉米产量变化的最重要的气候变量。他们解释了在历史气候条件(1971-2005年),本世纪在RCP 4.5下以及本世纪中叶和末世纪在RCP 4.5和RCP 8.5下的玉米单产的变异性。

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