We research macro-scale patterns in butterfly ecology using combined laboratory, field, and data intensive approaches. Based out of @GUBiology @Georgetown.
Joined May 2020
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Ries Lab of Butterfly Informatics retweeted
Do you want to help #butterfly #conservation but don't know where to start? Then e-Butterfly.org is for you!
Join our eButterfly webinar, on how to use it, and all its new features this Thursday, July 21st, at 4 PM (EST).
Preregister here: bit.ly/3IxTUSj
Ries Lab of Butterfly Informatics retweeted
Happy #PrideMonth! Georgetown celebrates LGBTQIA+ identities and communities – best understood in the context of each person’s identities and communities – and draws upon our Jesuit values to continue to advance equity and inclusion. bit.ly/3akkkXv
Ries Lab of Butterfly Informatics retweeted
The iNaturalist community has posted over 100 million verifiable observations!
Check out our blog post, it has some cool graphics and breakdowns. Thank you to everyone who adds observations and identifications to iNat!
inaturalist.org/blog/66531-w… #communityscience #citizensicence
Ries Lab of Butterfly Informatics retweeted
New butterfly evolutionary study is out as preprint! 2244 spp sequenced for 391 genes. Butterflies likely originated in what is now Americas, ~100 million years ago. Research led @FloridaMuseum #McGuireCenter. Global study w/87 scientists from 28 countries tinyurl.com/7ra5uaba
Ries Lab of Butterfly Informatics retweeted
Beauty in unexpected places! 😍 Our McGuire Center staff are working on organizing and digitizing parts of this large collection of more than 19,000 Lepidoptera genitalia slides. More about this collection from Deborah Matthews, Jim Hayden and team:
floridamuseum.ufl.edu/mcguir…
ALT heart shaped lobed object that looks furry and a smaller tubular organ magnified
Ries Lab of Butterfly Informatics retweeted
Did you blink and miss it?
Thanks for the annual update, @Team_eBird—and congrats to all 1,799 institutions, teams, projects and partners who make more than #2Billion records of #OpenData on biodiversity available through the #GBIF network! 🎉🥳🍾
gbif.org/
Ries Lab of Butterfly Informatics retweeted
Come to our first graduate seminar of the semester! #Today, @VaughnShirey from the @ButterflyLabGU will use natural #history #museums to investigate #butterfly adaptation to #climate change.
Ries Lab of Butterfly Informatics retweeted
My research plans are hatching @ButterflyLabGU 😁
ALT Collage: Silver spotted skipper butterflies, egg and 2 young caterpillars
Ries Lab of Butterfly Informatics retweeted
As the #climate changes, movement ecology is becoming more important than ever. In today's Departmental Seminar, Dr. Greg Breed from the @UniversityofAlaska analyzed the impacts of climate change on both the movement of #butterflies and predation in the #Arctic!
@ButterflyLabGU
Ries Lab of Butterfly Informatics retweeted
A complete inventory of North American butterfly occurrence data: narrowing data gaps, but increasing bias onlinelibrary.wiley.com/doi/… #butterflies #GBIF #globalchange #CitizenScience
Ries Lab of Butterfly Informatics retweeted
In case you missed it -- check out this month's Research Spotlight 👀 idigbio.org/content/research… inventorying North American butterfly occurrence data: narrowing data gaps, but increasing bias from coauthors @ShireyVaughn @belitzmw @vijaybarve @robgural
Ries Lab of Butterfly Informatics retweeted
It was so refreshing to get together with @ButterflyNetNSF team after a long time. @Dr_Akito @EmmanuelTouss1 @cgstorer @robgural @RiceLaboratory @ButterflyLabGU
@jfrtonini Naomi Pierce, Marianne Espeland, Kwaku Aduse-Poku, David Plotkin, @anapscarvalho ....
Ries Lab of Butterfly Informatics retweeted
BREAKING NEWS: Vaughn Shirey of the Ries Lab has won the 2020 GBIF Young Researchers Award for their work on modeling butterflies and accounting for data bias in biodiversity modeling! Congratulations!!!
We're delighted to share that Vaughn (@ShireyVaughn), a 3rd year PhD student in our lab, has been selected as a recipient of a @GBIF #YoungResearchers Award this year! Awesome job!
We're excited to see how their research develops this year and beyond! @GUBiology @Georgetown
Ries Lab of Butterfly Informatics retweeted
Early view of our non-copy edited or typeset paper examining the efficacy of #phenology estimators for use with incidental data! Fun project w/ @ButterflyLabGU @EcologyElise @robgural and exciting applications to follow😀
besjournals.onlinelibrary.wi… Awesome work by @belitzmw on methods for estimating phenology @USANPN @phenologists