数字农科院2.0

Untangling relative contributions of recent climate and CO2 trends to national cereal production in China

文献类型： 外文期刊

作者： Xiong, Wei;Lin, Erda;Li, Yue;Holman, Ian;Conway, Declan;Wu, Wenbin

作者机构：

关键词： climate change;relative contribution;cereal production;China

期刊名称： ENVIRONMENTAL RESEARCH LETTERS

ISSN： 1748-9326

年卷期： 2012 年 7 卷 4 期

页码：

收录情况： SCI

摘要： There is increasing evidence of crop yield response to recent global warming, yet there is poor understanding of the relative contributions of different climatic variables to changes in crop production. Using a spatially calibrated crop model with cultivars and crop inputs held constant for the year 2000, we simulate idealized national cereal production during the period 1961-2010 under different combinations of observed climate and CO2 forcings. With increasing CO2 and all climate forcings, production shows a slight and insignificant change (-0.9% between 1961 and 2010); however, without CO2 the combined climate forcings decrease production (-8.6%). Changing one climate variable at a time, whilst holding the other variables constant at 1961 values, observed warming has virtually no overall effect on production (0.01%), precipitation decreases it by 1.2% and radiation decreases it by 7.0%. The effects are management and crop dependent, with decreasing radiation responsible for reduced irrigated crop production, and precipitation for variability in rain-fed crop production. Rice is the most sensitive crop, with the largest decline (-12.4%) in simulated production. Wheat shows reduced yield (-9.7%) owing to climate factors, whilst offset by CO2 fertilization (overall change 0.9%). Maize shows insignificant change (-1.2%) and moderate increase in production (2.6%), respectively. These model results suggest that decreasing radiation due to increasing aerosol concentration and other atmospheric pollutants has had a greater effect on crop production than warming trends in China. This underscores the need for crop-climate studies to resolve better the effects of radiation on crop yield and examine climate model projections of radiation in greater detail.

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