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Climate impacts on Indian agriculture

机译:气候对印度农业的影响

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摘要

Agriculture (arguably the backbone of India's economy) is highly dependent on the spatial and temporal distribution of monsoon rainfall. This paper presents an analysis of crop-climate relationships for India, using historic production statistics for major crops (rice, wheat, sorghum, groundnut and sugarcane) and for aggregate food grain, cereal, pulses and oilseed production. Correlation analysis provides an indication of the influence of monsoon rainfall and some of its potential predictors (Pacific and Indian Ocean sea-surface temperatures, Darwin sea-level pressure) on crop production. All-India annual total production (except sorghum and sugarcane), and production in the monsoon (except sorghum) and post-monsoon seasons (except rice and sorghum) were significantly correlated to all-India summer monsoon rainfall. Monsoon season crops (except sorghum) were strongly associated with the three potential monsoon predictors. Results using state-level crop production statistics and subdivisional monsoon rainfall were generally consistent with the all-India results, but demonstrated some surprising spatial variations. Whereas the impact of subdivisional monsoon rainfall is strong in most of the country, the influence of concurrent predictors related to El Niho-southern oscillation and the Indian Ocean sea-surface temperatures at a long lead time seem greatest in the western to central peninsula. Copyright (C) 2004 Royal Meteorological Society.
机译:农业(可以说是印度经济的支柱)高度依赖季风降雨的时空分布。本文利用主要农作物(大米,小麦,高粱,花生和甘蔗)以及粮食总谷物,谷类,豆类和油料籽的历史产量统计数据,对印度的作物-气候关系进行了分析。相关性分析提供了季风降雨及其某些潜在预测因子(太平洋和印度洋海表温度,达尔文海平面压力)对作物生产的影响的指示。全印度的年度总产量(高粱和甘蔗除外),季风(高粱除外)和季风后季节(稻米和高粱除外)的产量均与全印度夏季季风降雨密切相关。季风作物(高粱除外)与三种潜在的季风预报因子密切相关。使用州级作物产量统计数据和分区季风降雨的结果通常与全印度的结果一致,但显示出一些令人惊讶的空间变化。在该国大部分地区,季风性降雨的影响很大,而与厄尔尼诺-南端振荡和较长前置时间的印度洋海面温度相关的并发预测因子的影响在半岛中部西部似乎最大。版权所有(C)2004皇家气象学会。

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