📢 New preprint out!
tl;dr: Publish your code, add clear README's!
138 participants assessed data & code archiving practices across 1861 papers published at 7 @britishecologicalsociety.org journals, identified gaps & offered recommendations for improvement
🔗 doi.org/10.32942/X26...
Poster presented at TIBS 2026 in Aarhus 🇩🇰🥶
I shared my PhD work on spatiotemporal data integration for marine megafauna spatial models.
Thanks to everyone who stopped by for the discussions and feedback, and to the organizers for a great meeting.
#TIBS2026 #InternationalBiogeographySociety
Wrapping up a great couple of weeks between the School of Mathematics at the University of Edinburgh and CREEM in St Andrews. Lots of time spent digging into Bayesian tools for species distribution models. Met some great people along the way and learned a lot!
Don't wait too long to register for our upcoming workshop on animal movement in marine environments here in Madeira. Now also endorsed by the UN Ocean Decade 🌊
Photo of a small crab from NOAA’s social media. It’s covered in spikes
Just making sure that everyone is aware of this crab that NOAA scientists found
A truly grim read. New #openaccess paper by KaitlinEFraser of @scrippsocean.bsky.social and team on what seems like impact of Deepwater Horizon. 🌍🧪🦑 🌐🦤 🌊 Link below!
#cetacean #marinemammal #oilpollution #whale #dolphin
www.nature.com/articles/s43...
Looking forward for our upcoming workshop on marine animal movement here in beautiful Madeira!🌊Registration: marcfer3.wixsite.com/website
featuring expert lecturers in the field:
John Fieberg
Marie Auger-Méthé
Brett McClintock
Inês Silva
Combining past and contemporary species occurrences with ordinal species distribution modeling to investigate responses to climate change https://nsojournals.onlinelibrary.wiley.com/doi/10.1111/ecog.07382
Combining past and contemporary species occurrences with ordinal species distribution modeling to investigate responses to climate change https://nsojournals.onlinelibrary.wiley.com/doi/10.1111/ecog.07382
Combining past and contemporary species occurrences with ordinal species distribution modeling to investigate responses to climate change nsojournals.onlinelibrary.wiley.com/doi/10.1111/ecog.07382