Marine megavertebrate migrations connect the global ocean - Nature Communications Animal migrations are extensive and crucial for ecosystem health but are in decline. This study identifies 1,787 sites and links among them for 109 marine species, highlighting the need for internatio...

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

Thanks Grant!

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/

Hi, thanks for the comment. We cited the main R packages we used for data processing and the statistical analyses (terra, amt, TwoStepClogit), but you're right that we didn't cite packages such as ggplot2, which was an oversight. I depend on ggplot2 and co so I'll be more careful in the future!

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...