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气候变化对印度恒河流域水稻和小麦产量影响的空间变异性。

Spatial variability of climate change impacts on yield of rice and wheat in the Indian Ganga Basin.

机构信息

Agricultural and Food Engineering Department, IIT Kharagpur, Kharagpur (W.B.), 721 302, India.

Agricultural and Food Engineering Department, IIT Kharagpur, Kharagpur (W.B.), 721 302, India.

出版信息

Sci Total Environ. 2013 Dec 1;468-469 Suppl:S132-8. doi: 10.1016/j.scitotenv.2013.05.080. Epub 2013 Jun 22.

Abstract

Indian Ganga Basin (IGB), one of the most densely populated areas in the world, is facing a significant threat to food grain production, besides increased yield gap between actual and potential production, due to climate change. We have analyzed the spatial variability of climate change impacts on rice and wheat yields at three different locations representing the upper, middle and lower IGB. The DSSAT model is used to simulate the effects of climate variability and climate change on rice and wheat yields by analyzing: (i) spatial crop yield response to current climate, and (ii) impact of a changing climate as projected by two regional climate models, REMO and HadRM3, based on SRES A1B emission scenarios for the period 2011-2040. Results for current climate demonstrate a significant gap between actual and potential yield for upper, middle and lower IGB stations. The analysis based on RCM projections shows that during 2011-2040, the largest reduction in rice and wheat yields will occur in the upper IGB (reduction of potential rice and wheat yield respectively by 43.2% and 20.9% by REMO, and 24.8% and 17.2% by HadRM3). In the lower IGB, however, contrasting results are obtained, with HadRM3 based projections showing an increase in the potential rice and wheat yields, whereas, REMO based projections show decreased potential yields. We discuss the influence of agro-climatic factors; variation in temperature, length of maturity period and leaf area index which are responsible for modeled spatial variability in crop yield response within the IGB.

摘要

印度恒河流域(IGB)是世界上人口最密集的地区之一,由于气候变化,除了实际产量与潜在产量之间的差距增大之外,粮食生产也面临着重大威胁。我们分析了气候变化对水稻和小麦产量的空间变化的影响,这三个地点代表了 IGB 的上、中、下游。DSSAT 模型用于通过分析以下两种方式来模拟气候变化对水稻和小麦产量的影响:(i)当前气候下的空间作物产量响应;(ii)基于 SRES A1B 排放情景,两个区域气候模型 REMO 和 HadRM3 对未来气候的预测变化。当前气候的结果表明,IGB 上、中、下游站的实际产量与潜在产量之间存在显著差距。基于 RCM 预测的分析表明,在 2011-2040 年期间,水稻和小麦产量的最大降幅将出现在 IGB 上游(REMO 分别减少潜在水稻和小麦产量 43.2%和 20.9%,HadRM3 减少 24.8%和 17.2%)。然而,在 IGB 下游却得到了相反的结果,HadRM3 基于预测显示潜在水稻和小麦产量增加,而 REMO 基于预测则显示潜在产量下降。我们讨论了气候因素的影响;温度、成熟时间和叶面积指数的变化,这些因素导致了 IGB 内作物产量响应的模型空间变化。

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