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Historical climate oscillations and tectonic events have influenced the speciation and evolutionary history of many organisms. In this study, we chose Fokienia hodginsii (Dunn) A. Henry & H. H. Thomas (Cupressaceae s.l.), a Tertiary relict conifer, for the inference of the demographic history since the Neogene. Five chloroplast regions and two single‐copy nuclear genes were amplified and sequenced in 497 individuals from 28 populations. The chloroplast data showed that F. hodginsii presented a high level of genetic diversity (HT = 0.860 ± 0.0279) and significant phylogeographic structure (NST > GST, P < 0.05). According tobeast analysis, the divergence time of the two major lineages indicated by the phylogenetic construction produced from chloroplast and nuclear data could be dated to the early Miocene (ca. 19.34–19.95 Ma), which coincided with the onset and intensification of the Asian monsoon. During this time, environmental adaption under the different climatic conditions on either side of the Tanaka Line could have played important roles in maintaining and/or reinforcing the divergence of the two major lineages. The ecological niche modeling results showed that F. hodginsii experienced habitat fragmentation and strengthening of genetic barriers during the Last Glacial Maximum, followed by local expansion during postglacial periods. Our findings show that paleoclimate changes since the Neogene might have triggered the extinction of all but one Fokienia species and its intraspecific lineage differentiation. This study also suggests that Tertiary relicts in subtropical and tropical areas might have had a complex evolutionary history and their intraspecific differentiation time might have been earlier than expected. [ABSTRACT FROM AUTHOR]

Understanding the spatiotemporal trends of temperature in the context of global warming is significant for public health. Although many studies have examined changes in temperature and the impacts on human health over the past few decades in many regions, they have often been carried out in data-rich regions and have rarely considered acclimatization explicitly. The most frequent temperature (MFT) indicator provides us with the ability to solve this problem. MFT is defined as the longest period of temperature throughout the year to which a human is exposed and therefore acclimates. In this study, we propose a new method to estimate the number of heat exposure days from the perspective of temperature distribution and MFT, based on the daily mean temperature readings of 2142 weather stations in eight major climate zones in China over the past 20 years. This method can be used to calculate the number of heat exposure days in terms of heat-related mortality risk without the need for mortality data. We estimated the distribution and changes of annual mean temperature (AMT), minimum mortality temperature (MMT), and the number of heat exposure days in different climate zones in China. The AMT, MMT, and number of heat exposure days vary considerably across China. They all tend to decrease gradually from low to high latitudes. Heat exposure days are closely related to the risk of heat-related mortality. In addition, we utilized multiple linear regression (MLR) to analyze the association between the risk of heat-related mortality and the city and its climatic characteristics. Results showed that the number of heat exposure days, GDP per capita, urban population ratio, proportion of elderly population, and climate zone were found to modify the estimate on heat effect, with an R2 of 0.71. These findings will be helpful for the creation of public policies protecting against high-temperature-induced mortalities. [ABSTRACT FROM AUTHOR]