Spatial occurrence records and distributions of tropical Asian butterflies
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Abstract
Insect biogeography is poorly documented globally, particularly in the tropics. Recent intensive research in tropical Asia, combined with increasingly available records from citizen science, provides an opportunity to map the distributions of tropical Asian butterflies. We compiled a dataset of 730,190 occurrences of 3,752 tropical Asian butterfly species by aggregating records from GBIF (651,285 records), published literature (27,217), published databases (37,695), and unpublished data (13,993). Here, we present this dataset and single-species distribution maps of 1,576 species. Using these maps, along with records of the 2,176 remaining species, we identified areas of limited sampling (e.g., Myanmar and New Guinea) and predicted areas of high diversity (Peninsular Malaysia and Borneo). This dataset can be leveraged for a range of studies on Asian and tropical butterflies, including 1) species biogeography, 2) sampling prioritization to fill gaps, 3) biodiversity hotspot mapping, and 4) conservation evaluation and planning. We encourage the continued development of this dataset and the associated code as a tool for the conservation of tropical Asian insects.
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Acknowledgements: Funding for this research was provided by a National Science Foundation China Excellent Young Scientist award to TCB. Additionally, preliminary data and analyses were supported by a Global Environmental Facility grant. The computations were performed using research computing facilities offered by Information Technology Services at The University of Hong Kong. Landsat-5 and Landsat-7 image courtesy of the U.S. Geological Survey. Special thanks to Kirsten Boehm, Ryan Leung, Rui Wang, Xueying Wang, and Tracy Zhang for assistance with data extraction. We are very grateful to the Natural History Museum UK (NHMUK) and Zoologische Staatssammlung München (ZSM) for facilitating TK’s access to the collection and would like to thank the curators for their kind support. We wish to thank B. Huertas, C. Beale, and R. Vane-Wright for their constant support of TK’s work. LVV was supported by the Vietnam Ministry of Science and Technology (ĐTĐL.CN-113/21). We’re thankful to Josef Settele and an anonymous reviewer whose helpful feedback improved the final dataset, the accessibility of our data repository, and this manuscript.
Funder: National Science Foundation China Excellent Young Scientist Global Environmental Facility
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2052-4463