Chinese Medicinal Yam (CMY) has been prescribed as medicinal food for thousand years in China by Traditional Chinese Medicine (TCM) practitioners. Its medical benefits include nourishing the stomach and spleen to improve digestion, replenishing lung and kidney, etc., according to the TCM literature. As living standard rises and public health awareness improves in recent years, the potential medicinal benefits of CMY have attracted increasing attention in China. It has been found that the observed climate change in last several decades, together with the change in economic structure, has driven significant shift in the pattern of the traditional CMY planting areas. To identify suitable planting area for CMY in the near future is critical for ensuring the quality and Dongli Fan and Honglin Zhong have contributed equally to this work.Environ Geochem Health (2020) 42:987-1000 https://doi.org/10.1007/s10653-019-00437-w( 0123456789().,-volV) (0123456789().,-volV) Hebei, and western Shandong. The climate suitability of these areas will be improved due to global warming in the next 50 years, and therefore, they will continue to be the most suitable CMY planting regions.
This report summarizes the preliminary analysis of the PRECIS 2.0 simulation results, with an emphasis on the priority concerns of Shanghai municipal government and other local governments in the Yangtze River Delta (YRD) Region, and research gaps in the literature. This study employs two regional climate models (RCMs) that are the Providing REgional Climate Impacts for Studies (PRECIS) and Weather Research and Forecasting (WRF), being driven by HadGEM2-ES and IPSL-CM5A, two global circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5), to investigate the impact of global warming on the characteristics of mean and extreme precipitation over Eastern China. The capacity of two RCMs and its driving GCMs in reproducing the historical climate during the baseline period (1981-2000) are first evaluated, and then the projections of mean and extreme precipitation over future warming climate period (2041-2060) under the scenarios of the Representative Concentration Pathways (RCPs) 4.5 and 8.5 are carried out. Our analysis shows that with the improved resolution and better representation of finer-scale physical processes, WRF and PRECIS downscaling displays obvious advantages over their driving GCMs (IPSL and HadGEM, respectively) in the validation runs. In particular, the two RCMs are able to capture the observed features of spatial distributions of extreme precipitation indices including V95p, R95t, and SDII. The future projections indicate that increased radiative forcing from RCP4.5 to RCP8.5 emission scenarios would add further strength to the daily precipitation intensity by 2041-2060. Coupled global circulation models (GCMs) forced by the climate scenarios of the Representative Concentration Pathways (RCPs) within the CMIP5 (Coupled Model Intercomparison Project Phase 5) are the state-of-the-art GCMs and the useful tools for estimating trends and variabilities of future climate and extremes, and for evaluating future climate change under various RCP scenarios. Based on the results of CMIP5-GCMs simulations, several studies have presented the changes in extreme precipitation events over different regions under different RCP scenarios (
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