1. Determinants of Delphacidae richness and endemism in China.
- Author
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Zhao, Zhengxue, Jin, Baocheng, Zhou, Zhengxiang, Yang, Lin, Long, Jiankun, and Chen, Xiangsheng
- Subjects
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LAST Glacial Maximum , *RANDOM forest algorithms , *SPECIES diversity , *GLACIATION , *GRID cells - Abstract
1. Identifying the macro‐scale patterns and the underlying mechanisms of species richness are key aspects of biodiversity‐related research. In China, previous studies on the mechanisms underlying insect richness have primarily focused on the current ecological conditions. Therefore, the impact of historical climate change on these mechanisms is less well understood. 2. Here, we use members of the Delphacidae family to evaluate the relative impact of the current environmental conditions and that of the Last Glacial Maximum on total species richness and endemism. Total species richness and endemic species richness were summed in 1° × 1° grid cells that the insects occupied. Generalised linear models, simultaneous autoregressive models, and random forest models were used to assess the effects of different environmental factors on total species richness and endemism. 3. The two patterns of species richness are jointly regulated by the current environment and the Last Glacial Maximum, but their key determinants differ. Winter coldness and the temperature annual range strongly affected the total species richness, but temperature variation during the Last Glacial Maximum also played an important role in the development of species richness. The distribution of endemic species was most strongly affected by the Last Glacial Maximum temperature change. 4. The studies confirm that historical climate change contributes to patterns of insect species richness, particularly patterns of endemism. Considering that China was mildly affected by the last glacial period, we propose that the incorporation of historical climate data into such studies will provide a better understanding of the underlying mechanisms. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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