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From the Cover: Scale-dependent climatic drivers of human epidemics in ancient China

机译:从封面看:中国古代人类流行病的尺度依赖性气候驱动因素

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摘要

A wide range of climate change-induced effects have been implicated in the prevalence of infectious diseases. Disentangling causes and consequences, however, remains particularly challenging at historical time scales, for which the quality and quantity of most of the available natural proxy archives and written documentary sources often decline. Here, we reconstruct the spatiotemporal occurrence patterns of human epidemics for large parts of China and most of the last two millennia. Cold and dry climate conditions indirectly increased the prevalence of epidemics through the influences of locusts and famines. Our results further reveal that low-frequency, long-term temperature trends mainly contributed to negative associations with epidemics, while positive associations of epidemics with droughts, floods, locusts, and famines mainly coincided with both higher and lower frequency temperature variations. Nevertheless, unstable relationships between human epidemics and temperature changes were observed on relatively smaller time scales. Our study suggests that an intertwined, direct, and indirect array of biological, ecological, and societal responses to different aspects of past climatic changes strongly depended on the frequency domain and study period chosen.
机译:广泛的气候变化引起的影响与传染病的流行有关。然而,在历史时间尺度上,区分原因和后果仍然特别具有挑战性,为此,大多数可用自然代理档案和书面文献来源的质量和数量通常会下降。在这里,我们重建了中国大部分地区和最近两千年中大部分时间的人类流行病的时空发生模式。寒冷和干燥的气候条件通过蝗虫和饥荒的影响间接增加了流行病的流行。我们的结果进一步表明,低频长期温度趋势主要是与流行病呈负相关,而流行病与干旱,洪水,蝗虫和饥荒的正相关主要是与较高和较低频率的温度变化一致。然而,在相对较小的时间尺度上观察到了人类流行病与温度变化之间的不稳定关系。我们的研究表明,对过去气候变化不同方面的生物,生态和社会反应相互交织,直接和间接地存在,在很大程度上取决于所选择的频域和研究时期。

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