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IMPACT OF CLIMATE CHANGE ON YIELDS OF MAJOR FOOD CROPS IN INDIA

机译:气候变化对印度主要粮食作物产量的影响

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The regional models of yield response to temperature (minimum, maximum and its diurnal range) and precipitation developed for meteorological (met) sub-divisions of India were used to study the impact of future climate change on major food crops viz. wheat, rice, potato and rapeseed-mustard. The area weighted averages of district-wise crop yield data were computed at met sub-division level for 1977-2007 for 9 major wheat (Triticum aestivum L.) producing met sub-divisions, 16 major rice (Oryza sativa L.) producing met subdivisions, 6 major potato (Solanum tuberosum L.) growing sub-divisions of and 8 major rapeseed-mustard (Brassica spp.) growing subdivisions. Fortnightly correlation weighted weather parameters like minimum and maximum temperature and precipitation for the respective met sub-division and periods of the crop season were used to develop the empirical relationships. A negative response of yields to increased minimum temperatures was observed for all the crops. In general, the reduction in crop yields upto 13.4 percent was observed with unit increase in minimum temperature. The crop yield also showed negative response to increased maximum temperature and its unit increase reduced the yields upto 10.3 percent and 5.3 percent for rice and wheat crop, respectively. The crops like potato and rapeseed-mustard showed positive response to increased maximum temperature, which might be due to their strong positive correlations with diurnal temperature range (DTR). The estimated impacts of diurnal temperature range (DTR) changes on yields were generally less (< 5percent change in yields) for wheat and rice crops while more upto 8.6 percent for potato and rapeseed-mustard crops. Based on A2 scenario of temperature and precipitation change, as derived from PRECIS (Providing Regional Climates for Impacts Studies) regional climate model, it was found that, during the period 2071-2100, the rice yields in irrigated regions would reduce upto 32 percent in Haryaana followed by 18 percent in Punjab while it may increase in rainfed regions upto 28 percent in Orissa followed by 18 percent in Madhya Pradesh. The reduction in wheat yields will be 21 percent in East Rajasthan followed by 18 percent in West Rajasthan and 14 percent in East Madhya Pradesh. The climate change scenario may lead up to 39 percent reduction in rapeseed-mustard and 19 percent reduction in potato yields. However, the yield change projection uncertainties were large due to the uncertainties associated with the yield model.
机译:对温度(最小,最大值及其日间)的区域模型(最低,最大及其日间)和对印度气象(MET)分区开发的降水用于研究未来气候变化对主要粮食作物Qiz的影响。小麦,米饭,土豆和油菜籽芥末。在977 - 2007年的977 - 2007年,在977 - 2007年(Triticum Aestivum L)的达到梅子段(Triticum Aestivum L.)的达到梅子分区,16个主要稻米(Oryza Sativa L.)产生梅的地区加权平均数细分,6大马铃薯(Solanum Tuberosum L.)生长分区和8个主要草莓芥末(Brassica SPP)的分歧。每两周相关的加权天气参数,如最小和最高温度和各个符合季分区和作物季节时期的降水,用于发展经验关系。对所有作物观察到产率对增加的最低温度的负响应。通常,观察到在最小温度下的单位增加,观察到作物产量的减少高达13.4%。作物产量也表现出对增强的最高温度的负面反应,其单位增加降低了米和小麦作物的10.3%和5.3%的产量。马铃薯和油菜籽芥菜等作物显示出对增强的最高温度的阳性反应,这可能是由于它们与昼夜温度范围(DTR)的强阳性相关性。估计的日间温度范围(DTR)对小麦和水稻作物的产量变化的影响通常较少(<5%的产量),而马铃薯和油菜籽作物的额外高达8.6%。基于A2的温度和降水变化的情景,如Precis(提供区域气候)区域气候模型,发现,在2071-2100期间,灌溉区域的水稻产量将减少32% Haryaana在旁遮普邦的18%之后,在奥里萨邦的雨量地区可能增加了28%,随后在Madhya Pradesh的18%。小麦产量的减少将在东拉贾斯坦邦的21%后,西拉贾斯坦人的18%,东部Madhya邦的14%。气候变化情景可能导致油菜籽芥末减少39%,土豆饲料产量减少了19%。然而,由于与产量模型相关的不确定性,产量变化投影不确定性大。

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