Department of Economics, University of California at San Diego, La Jolla, CA 92093, USA.
Proc Natl Acad Sci U S A. 2010 Aug 17;107(33):14562-7. doi: 10.1073/pnas.1001222107. Epub 2010 Aug 9.
Data from farmer-managed fields have not been used previously to disentangle the impacts of daily minimum and maximum temperatures and solar radiation on rice yields in tropical/subtropical Asia. We used a multiple regression model to analyze data from 227 intensively managed irrigated rice farms in six important rice-producing countries. The farm-level detail, observed over multiple growing seasons, enabled us to construct farm-specific weather variables, control for unobserved factors that either were unique to each farm but did not vary over time or were common to all farms at a given site but varied by season and year, and obtain more precise estimates by including farm- and site-specific economic variables. Temperature and radiation had statistically significant impacts during both the vegetative and ripening phases of the rice plant. Higher minimum temperature reduced yield, whereas higher maximum temperature raised it; radiation impact varied by growth phase. Combined, these effects imply that yield at most sites would have grown more rapidly during the high-yielding season but less rapidly during the low-yielding season if observed temperature and radiation trends at the end of the 20th century had not occurred, with temperature trends being more influential. Looking ahead, they imply a net negative impact on yield from moderate warming in coming decades. Beyond that, the impact would likely become more negative, because prior research indicates that the impact of maximum temperature becomes negative at higher levels. Diurnal temperature variation must be considered when investigating the impacts of climate change on irrigated rice in Asia.
以前,人们没有利用农民管理的农田数据来区分日最低温和日最高温和太阳辐射对热带/亚热带亚洲水稻产量的影响。我们使用多元回归模型分析了来自六个重要水稻生产国的 227 个集约化管理灌溉农场的数据。多年的多季观测为我们提供了农场层面的详细数据,使我们能够构建特定于农场的天气变量,控制特定于每个农场且不随时间变化的或在特定地点对所有农场都相同但随季节和年份变化的未观察到的因素,并通过包含农场和地点特定的经济变量来获得更精确的估计。温度和辐射在水稻植株的营养生长和成熟阶段都有显著的影响。最低温度升高会降低产量,而最高温度升高则会提高产量;辐射的影响因生长阶段而异。这些综合影响意味着,如果 20 世纪末观察到的温度和辐射趋势没有发生,大多数地点的产量在高产量季节会增长得更快,而在低产量季节会增长得更慢,其中温度趋势的影响更大。展望未来,这意味着未来几十年适度变暖将对产量产生净负面影响。除此之外,这种影响可能会变得更负面,因为之前的研究表明,最高温度的影响在更高水平下会变为负面。在研究气候变化对亚洲灌溉水稻的影响时,必须考虑昼夜温度变化。