London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK.
Potsdam Institute for Climate Impact Research, Telegraphenberg A 62/2.01, Postfach 60 12 03, D-14412 Potsdam, Germany.
Sci Total Environ. 2019 Nov 15;691:538-548. doi: 10.1016/j.scitotenv.2019.07.027. Epub 2019 Jul 4.
In subsistence farming populations of sub-Saharan Africa reliant on rainfed agriculture, years of low crop yields result in poorer child nutrition and survival. Estimates of such impacts are critical for their reduction and prevention. We developed a model to quantify such health impacts, and the degree to which they are attributable to weather variations, for a subsistence farming population in the Nouna district of Burkina Faso (89,000 people in 2010). The method combines data from a new weather-crop yield model with empirical epidemiological risk functions. We quantify the child mortality impacts for 1984-2012 using observed weather data and estimate potential future burdens in 2050 and 2100 using daily weather data generated by global climate models parameterized to simulate global warming of 1.5°C above pre-industrial levels. For 1984-2012, crop yields below 90% of the period average were estimated to result in the total of 109.8 deaths per 10,000 children <5years, or around 7122.0years of life lost, 72% of which are attributable to unfavourable weather conditions in the crop growing season. If all non-weather factors are assumed to remain unchanged, the mortality burden related to low crop yields would increase about twofold under 1.5°C global warming by 2100. These results emphasize the importance and value of developing strategies to protect against the effects of low crop yields and specifically the adverse impact of unfavourable weather conditions in such settings under the current and future climate.
在依赖雨养农业的撒哈拉以南非洲的自给农业人口中,多年来的低作物产量导致儿童营养和生存状况恶化。评估这些影响对于减少和预防这些影响至关重要。我们开发了一种模型,以量化布基纳法索努纳区(2010 年有 89000 人)自给农业人口的此类健康影响及其归因于天气变化的程度。该方法将新的天气-作物产量模型与经验流行病学风险函数的数据相结合。我们使用观测到的天气数据量化了 1984-2012 年的儿童死亡率影响,并使用全球气候模型生成的每日天气数据估计了 2050 年和 2100 年的潜在未来负担,这些数据参数化以模拟比工业化前水平高 1.5°C 的全球变暖。对于 1984-2012 年,估计作物产量低于平均水平的 90%会导致每 10000 名 5 岁以下儿童总死亡人数达到 109.8 人,或约 7122.0 年的生命损失,其中 72%归因于作物生长季节不利的天气条件。如果假设所有非天气因素保持不变,那么到 2100 年,在 1.5°C 的全球变暖下,与低作物产量相关的死亡负担将增加一倍左右。这些结果强调了制定战略以防范低作物产量影响的重要性和价值,特别是在当前和未来气候下,在这种情况下不利天气条件的不利影响。