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In this study we investigated the effects of climate change on the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae). Based on the current distribution records of S. frugiperda and selected bioclimatic factors, we modelled its potential habitat suitability in China under four climate change scenarios using Maximum Entropy Models (MaxEnt) and Geographic Information Systems (GIS). Our results showed that: (1) the mean area under curve (AUC) values of both our initial and final models were greater than 0.978, indicating high accuracy in the predictions; (2) the dominant environmental factors regulating the habitat suitability of S. frugiperda were Precipitation of Warmest Quarter (bio18), Temperature Seasonality (bio4), Annual Mean Temperature (bio1) and Precipitation Seasonality (bio15); (3) the highly suitable areas for S. frugiperda were mainly distributed in Jiangsu, Anhui, Jiangxi, most parts of Henan and Guangxi, central and eastern Hubei, central and southern Shaanxi, and southeastern and northern Zhejiang, accounting for 17.6% of China’s landmass; (4) from the present until the 2070s, the areas of the non-suitable regions will decrease as climate warming becomes more severe, and the geometric center of the highly and total suitable areas will displace to the north under all four climate change scenarios. [ABSTRACT FROM AUTHOR]

Cancer, one of the major public health problems in the world, threatens human health seriously, and the burden of disease is heavy. Disability adjusted life years (DALYs) have been increasingly used to estimate the burden of disease worldwide. Disability weights is a key ingredient for estimating DALYs, and its value directly affects the calculation of disease burden. In this review, we summarize the research methods, key issues, and progress on disability weights for cancer both domestic and abroad, in order to provide valuable information for the estimation of cancer disability weights in China.

Rhodiola alsia, which has been used widely in traditional Chinese medicine for a considerable time, grows on moist habitats at high altitude near the snow line. Microsatellite loci were developed for R. alsia to investigate its population genetics. In total, 17 polymorphic microsatellites were developed based on ESTs from the Illumina HiSeq(TM) 2000 platform. The microsatellite loci were checked for variability using 80 individuals of R. alsia sampled from four locations on the Qinghai-Tibet Plateau. The total number of alleles per locus ranged from 10 to 20, and the observed heterozygosity ranged from 0.000 to 1.000. The null allele frequency ranged from 0.000 to 0.324. These microsatellites are expected to be helpful in future studies of population genetics in R. alsia and related species.