Evaluating the impact of climate change on yield and water use efficiency of different dry-season rice varieties cultivated under conventional and alternate wetting and drying conditions

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2024-11-12 DOI:10.1007/s10661-024-13363-x
Chan Arun Phoeurn, Aurore Degré, Chantha Oeurng, Pinnara Ket
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Abstract

This study is the first attempt to assess rice cultivation under alternate wetting and drying (AWD) and continuous flooding (CF) using the latest scenarios from the Intergovernmental Panel on Climate Change (IPCC), utilizing AquaCrop Model. Field experiments were conducted during the dry season 2023 to get the model calibration and validation input. We used two shared socioeconomic pathways scenarios (SSP3-7.0 and SSP5-8.5) developed within Coupled Model Intercomparison Project Phase 6 (CMIP6) and projected the rice growth during 2040–2070. The simulation results demonstrated the effectiveness of AquaCrop in capturing crop development across treatments and varieties. This model’s accuracy in simulating canopy cover (nRMSE = 14–32.5%), time series biomass (nRMSE = 22–42.5%), grain yield (Pd = 4.36–24.38%), and total biomass (nRMSE = 0.39–18.98%) was generally acceptable. The analysis of future climate shows an increasing trend in the monthly average temperature by 0.8 °C (Tmin) and 1.3 °C (Tmax) in both scenarios. While ETo values were not anticipated, rainfall was expected to increase with average values of 5.62 mm to 11.25 mm. In addition, the study found that varieties with growing periods longer than 93 days after transplanting (DAT), such as CAR15 and Sen Kra Ob, were most impacted by heat stress conditions, leading to reduced yield, harvest index (HI), and water use efficiency (WUE). In our case, CAR15 and Sen Kra Ob grain yields were reduced by 53% and 8%, respectively. AWD maintains superior WUE compared with CF regardless of the type of varieties, suggesting this technique is a drought-adaptive strategy.

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评估气候变化对在常规和干湿交替条件下种植的不同旱季水稻品种的产量和用水效率的影响
本研究首次尝试利用 AquaCrop 模型,采用政府间气候变化专门委员会(IPCC)的最新情景,评估在干湿交替(AWD)和连续淹水(CF)条件下的水稻种植情况。在 2023 年旱季进行了田间试验,以获得模型校准和验证输入。我们使用了耦合模式相互比较项目第六阶段(CMIP6)开发的两种共享社会经济路径情景(SSP3-7.0 和 SSP5-8.5),并预测了 2040-2070 年期间的水稻生长情况。模拟结果表明,AquaCrop 能有效捕捉不同处理和品种的作物生长情况。该模型在模拟冠层覆盖率(nRMSE = 14-32.5%)、时间序列生物量(nRMSE = 22-42.5%)、谷物产量(Pd = 4.36-24.38%)和总生物量(nRMSE = 0.39-18.98%)方面的精度总体上是可以接受的。对未来气候的分析表明,在两种情景下,月平均气温均呈上升趋势,分别上升 0.8 ℃(Tmin)和 1.3 ℃(Tmax)。虽然预计 ETo 值不会增加,但预计降雨量会增加,平均值为 5.62 毫米至 11.25 毫米。此外,研究还发现,移栽后生长期超过 93 天(DAT)的品种,如 CAR15 和 Sen Kra Ob,受热胁迫条件的影响最大,导致产量、收获指数(HI)和水分利用效率(WUE)降低。在我们的案例中,CAR15 和 Sen Kra Ob 的谷物产量分别减少了 53% 和 8%。与 CF 相比,无论品种类型如何,AWD 都能保持较高的 WUE,这表明该技术是一种干旱适应策略。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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