Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Delbert A. Green"'
Publikováno v:
iScience, Vol 27, Iss 3, Pp 109063- (2024)
Summary: Eastern North American migratory monarch butterflies exhibit migratory behavioral states in fall and spring characterized by sun-dependent oriented flight. However, it is unclear how monarchs transition between these behavioral states at the
Externí odkaz:
https://doaj.org/article/3aade5faea4e45b0a511473ee0f07293
Autor:
Ayşe Tenger‐Trolander, Cole R. Julick, Wei Lu, Delbert André Green, Kristi L. Montooth, Marcus R. Kronforst
Publikováno v:
Ecology and Evolution, Vol 13, Iss 2, Pp n/a-n/a (2023)
Abstract Environmental heterogeneity in temperate latitudes is expected to maintain seasonally plastic life‐history strategies that include the tuning of morphologies and metabolism that support overwintering. For species that have expanded their r
Externí odkaz:
https://doaj.org/article/86a81183f69b4971b89f9f0d2e68b33a
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
Publikováno v:
GetMobile: Mobile Computing and Communications. 26:25-29
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 bre
Autor:
Sara Shoouri, Mingyu Yang, Gordy Carichner, Yuyang Li, Ehab A. Hamed, Angela Deng, Delbert A. Green, Inhee Lee, David Blaaw, Hun-Seok Kim
Publikováno v:
2022 IEEE Data Science and Learning Workshop (DSLW).
A new GPS-less, daily localization method is proposed with deep learning sensor fusion that uses daylight intensity and temperature sensor data for Monarch butterfly tracking. Prior methods suffer from the location-independent day length during the e
Autor:
Jaechan Lim, Yuyang Li, Jamie Phillips, Eunseong Moon, Katherine Ernst, Gordy Carichner, David Blaauw, Kristi L. Montooth, Hun-Seok Kim, Cole R. Julick, Yi Sun, Sara Shoouri, Tess Carichner, Mingyu Yang, Inhee Lee, Delbert A. Green, Chin-Wei Hsu, Roger Hsiao
Publikováno v:
Proceedings of the 27th Annual International Conference on Mobile Computing and Networking.
Each fall, millions of monarch butterflies across the northern US and Canada migrate up to 4,000 km to overwinter in the exact same cluster of mountain peaks in central Mexico. To track monarchs precisely and study their navigation, a monarch tracker
Autor:
Delbert A. Green
Publikováno v:
The American naturalist. 198(1)
Understanding the genetic architecture of complex trait adaptation in natural populations requires the continued development of tractable models that explicitly confront organismal and environmental complexity. A decade of high-throughput sequencing-
Autor:
Swanne P. Gordon, Carlos García-Robledo, Delbert A. Green, Nkrumah A. Grant, María Rebolleda-Gómez, Meghan A. Duffy, Nina Wale, Ambika Kamath, Rachel M. Penczykowski, Luis Zaman
Publikováno v:
The American naturalist. 198(1)
Ecologists and evolutionary biologists are fascinated by life's variation but also seek to understand phenomena and mechanisms that apply broadly across taxa. Model systems can help us extract generalities from amid all the wondrous diversity, but on
Autor:
Delbert A. Green, Marcus R. Kronforst
Publikováno v:
Mol Ecol
The monarch butterfly (Danaus plexippus) complements its iconic migration with diapause, a hormonally controlled developmental programme that contributes to winter survival at overwintering sites. Although timing is a critical adaptive feature of dia
Autor:
Meghan Duffy, Carlos Garcia-Robledo, Nina Wale, Luis Zaman, Swanne Gordon, Nkrumah A. Grant, Delbert A. Green II, Ambika Kamath, Rachel M. Penczykowski, María Rebolleda Gómez
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e6d871924d4a37f4c0ee341485edfd5
https://doi.org/10.22541/au.161360733.32096807/v1
https://doi.org/10.22541/au.161360733.32096807/v1
Autor:
Jaechan Lim, Delbert A. Green, Gordy Carichner, Katherine Ernst, Inhee Lee, Hun-Seok Kim, Roger Hsiao, David Blaauw, Mingyu Yang
Publikováno v:
EUSIPCO
Details of Monarch butterfly migration from the U.S. to Mexico remain a mystery due to lack of a proper localization technology to accurately localize and track butterfly migration. In this paper, we propose a deep learning based butterfly localizati