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Article Abstract

The geographical distribution patterns of Hübner in China are analysed with MaxEnt and ArcGIS based on known localities and nineteen environmental variables. The results suggest that southeastern China is a highly suitable area, and Bio11 (mean temperature of the coldest quarter), Bio12 (annual precipitation) and Bio18 (precipitation of the warmest quarter) are revealed to be the main variables affecting the present distribution patterns. Among them, Bio18 is the strongest predictor with a 24.3% contribution. Furthermore, a new species from Tibet is added to the genus, , and the male of is described for the first time. Images of adults and their genitalia are illustrated, and two maps showing the geographical distribution patterns of in China are provided.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580841PMC
http://dx.doi.org/10.3897/zookeys.853.34149DOI Listing

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