At #ESAus2025 & interested in movement ecology? Come to our three sessions today in Riverbank Room 8 organised by @scottwilliamf.bsky.social. At 11.45am I'll talk connectivity of megavertebrates in the global ocean, PLUS call on Australian movement ecologists to join geobon.org/move-bon/ 🌏🎉 #ESA2025

Heading to ESA2025? Tracking animals or interested in movement ecology? Join the 'Movement ecology for conservation action' symposium! Full description here: tinyurl.com/MoveSINsympo... And don't forget to join the MoveSIN - we will be underway soon! forms.gle/dfk3HmXU1zZn... #ESAus2025 #ecology

Looking forward to an exciting ICCB! I'm presenting some recent work using deepSSF to simulate animal movement and dynamic distributions in 'Landscape & Spatial Ecology II', Wed 8:30-10:30am. Preprint here: www.biorxiv.org/content/10.1... and code and supp info here: swforrest.github.io/deepSSF/.

🚨 New research out today from my PhD exploring population genetics of 3 lizard species across fragmented and continuous habitat. link.springer.com/article/10.1...

Postdoc job at Naturalis: "Postdoctoral Fellow in Machine Learning & Butterfly Ecology" https://www.naturalis.nl/en/about-us/job-opportunities/postdoctoral-fellow-in-machine-learning-butterfly-ecology (Beautiful museum, great work environment, plus The Netherlands :) #academicjobs #postdoc

The latest release of the {mvgam} #rstats 📦 has hit CRAN. Plenty of exciting new features including Joint Species Distribution Models, support for the full range of Gaussian Process kernels available in the {brms} 📦 and plenty more nicholasjclark.github.io/mvgam/news/i...

Animal movement is complex, depends on many interacting factors, and can be hard to accurately predict. Here we present a novel approach using a deep learning step selection framework: tinyurl.com/2em9yyjb, with lots of supporting info and code! swforrest.github.io/deepSSF/

Stoked to have a cover photo for @ecography.bsky.social! In our paper doi.org/10.1111/ecog... we included temporal dynamics into SSFs, resulting in daily patterns of movement and habitat selection. Simulating gave us dynamic spatial predictions across the landscape. Code! github.com/swforrest/dy...