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Assessing climate change impacts on sorghum and millet yields in the Sudanian and Sahelian savannas of West Africa

机译:评估气候变化对西非苏丹和萨赫勒稀树草原的高粱和小米产量的影响

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Sub-Saharan West Africa is a vulnerable region where a better quantification and understanding of the impact of climate change on crop yields is urgently needed. Here, we have applied the process-based crop model SARRA-H calibrated and validated over multi-year field trials and surveys at eight contrasting sites in terms of climate and agricultural practices in Senegal, Mali, Burkina Faso and Niger. The model gives a reasonable correlation with observed yields of sorghum and millet under a range of cultivars and traditional crop management practices. We applied the model to more than 7000 simulations of yields of sorghum and millet for 35 stations across West Africa and under very different future climate conditions. We took into account 35 possible climate scenarios by combining precipitation anomalies from ?20% to 20% and temperature anomalies from +0 to +6?°C.We found that most of the 35 scenarios (31/35) showed a negative impact on yields, up to ?41% for +6?°C/???20% rainfall. Moreover, the potential future climate impacts on yields are very different from those recorded in the recent past. This is because of the increasingly adverse role of higher temperatures in reducing crop yields, irrespective of rainfall changes. When warming exceeds +2?°C, negative impacts caused by temperature rise cannot be counteracted by any rainfall change. The probability of a yield reduction appears to be greater in the Sudanian region (southern Senegal, Mali, Burkina Faso, northern Togo and Benin), because of an exacerbated sensitivity to temperature changes compared to the Sahelian region (Niger, Mali, northern parts of Senegal and Burkina Faso), where crop yields are more sensitive to rainfall change. Finally, our simulations show that the photoperiod-sensitive traditional cultivars of millet and sorghum used by local farmers for centuries seem more resilient to future climate conditions than modern cultivars bred for their high yield potential (?28% versus ?40% for the +4?°C/???20% scenario). Photoperiod-sensitive cultivars counteract the effect of temperature increase on shortening cultivar duration and thus would likely avoid the need to shift to cultivars with a greater thermal time requirement. However, given the large difference in mean yields of the modern versus traditional varieties, the modern varieties would still yield more under optimal fertility conditions in a warmer world, even if they are more affected by climate change.
机译:撒哈拉以南非洲西部是一个脆弱地区,迫切需要对气候变化对农作物产量的影响进行更好的量化和了解。在这里,我们在塞内加尔,马里,布基纳法索和尼日尔的气候和农业实践方面,应用了基于过程的作物模型SARRA-H,该模型经过了多年的田间试验和调查,在八个对比地点进行了校准和验证。该模型与观察到的一系列栽培品种和传统作物管理实践下的高粱和小米产量之间具有合理的相关性。我们将该模型应用于西非35个站点和未来气候条件迥异的7000多个高粱和小米产量模拟中。通过将20%至20%的降水异常和+0至+ 6°C的温度异常相结合,我们考虑了35种可能的气候情景。我们发现35种情景中的大多数(31/35)对气候有负面影响在+ 6°C / 20%的降雨条件下,收率可达41%。此外,未来气候对单产的潜在影响与最近记录的有很大不同。这是因为无论降雨如何变化,高温在降低农作物产量方面的不利作用越来越大。当升温超过+ 2°C时,任何降雨变化都无法抵消由温度升高引起的负面影响。在苏丹地区(塞内加尔南部,马里,布基纳法索,多哥北部和贝宁),由于与萨赫勒地区(尼日尔,马里,尼日尔北部)相比,对温度变化的敏感性增强,单产下降的可能性似乎更大。塞内加尔和布基纳法索),那里的农作物产量对降雨变化更为敏感。最后,我们的模拟结果表明,当地农民使用了几个世纪以来对光周期敏感的传统小米和高粱品种,对未来的气候条件似乎比以其高产潜力而培育的现代品种更具抗性(+4时分别为?28%和?40%)。 ?°C /?20%情况)。对光周期敏感的品种抵消了温度升高对缩短品种持续时间的影响,因此可能会避免需要转移到具有更大热时间需求的品种。但是,鉴于现代品种与传统品种的平均产量差异很大,即使在气候变化的影响下,在温暖的世界中,在最佳生育条件下,现代品种仍将获得更高的产量。

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