Rodrigo Beas

@mexcalscience @BorisIgic @moiramaclean2 @DAVIDPAZGARCIA2 @PeteRaimondi @JacquelineSone @EricSanford

Huge shoutout to the amazing Philip Fenberg, co-authors & people involved in the sampling who made this research possible! 🙌🌏 International cross-border collaboration with local scientists is key to understanding our changing oceans. 🌐 #Collaboration #ResearchCommunity [6/6]

Exciting news from the @JBiogeography! We've delved into the intricate world of predator-induced defenses under tropicalization in marine ecosystems. 🦀 Open threat to explore this incredible journey! [1/6]

@SANDAG @SDBotanicGarden So far we've heard from @LAZoo's Anna Becker on why #conservation MUST be rooted in #justice 🫱🏿‍🫲🏽 and Julio Lorda (UABC, @mexcalscience, TJNERR) on current research happening along the coasts of #BajaCalifornia 🌊

RT @eliocamp@mastodon.social I'm super-duper excited by webR! Running #rstats directly in the browser without needing to install it is a dream come true for teaching and onboarding. I wished I had the time to add it to this trimester's introductory programming class. (1/2)

This work is an example of the importance of how small-scale coastal oceanography is used to understand complex processes in the ocean. Check it out here authors.elsevier.com/c/1ghW1-JmAwcmL 5/5

🧵Our paper on how #kelpforest & #internalwaves influence #zooplankton abundance and distribution is out and available in @continentalshelfresearch authors include @MairaAl17030281 @juliolorda @robeas @RomanAldecoa etal from @PCicese @UABC_oficial @FcmOcean @udg_oficial 1/5

This is @noaAinoa's first chapter of her Ph.D. dissertation: "#kelpforest #socialecological framework to inform #smallscalefisheries in the Pacific coast of #BajaCalifornia ."

How does comparing local ecological knowledge and conventional scientific knowledge inform #smallscalefisheries ? Check out @mexcalscience @UABC_oficial latest publication: tinyurl.com/5n8x4v3n in @ICES_ASC @OxfordJournals @OUPAcademic

@luismalpicaC @juliolorda @Oso29221442 @LottaKluger

This work is a step forward to giving greater credibility to LEK-informed network models, especially in data-poor settings.