Tracking the Migration of the Monarch Butterflies with the World's Smallest Computer
| Autor: | Inhee Lee, Roger Hsiao, Gordy Carichner, Chin-Wie Hsu, Mingyu Yang, Sara Shoouri, Katherine Ernst, Tess Carichner, Yuyang Li, Jaechan Lim, Cole R. Julick, Eunseong Moon, Yi Sun, Jamie Phillips, Kristi L. Montooth, Delbert A. Green II, Hun-Seok Kim, David Blaauw |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | GetMobile: Mobile Computing and Communications. 26:25-29 |
| ISSN: | 2375-0537 2375-0529 |
| Popis: | Each fall, millions of monarch butterflies across the U.S. and Canada migrate up to 4,000 km to overwinter in the same cluster of mountaintops in central Mexico. In spring, these migrants mate and remigrate northwards to repopulate their northern breeding territory over 2-4 partially overlapping generations. Because each migrant monarch completes only part of this round trip and does not return to the overwintering site, this navigational task cannot be learned from the prior generation. The number of monarchs completing the journey has dramatically declined in the past decades, coincident with the decreased availability of their milkweed host plant. The U.S., Mexico, and Canada have invested tremendous resources into monarch conservation efforts, including enacting specific policy initiatives, public outreach programs, and habitat protection and restoration projects. The US invested over $11 million between 2015-2017 alone [1]. Developing a tracking technology for monarch can be a key in these efforts, providing, for instance, detailed understanding of habitat use during migratory flight and dependence on weather conditions. Furthermore, it can significantly benefit animal research, and agricultural and environmental science. |
| Databáze: | OpenAIRE |
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