Our paper made the cover of Trends in Microbiology! doi.org/10.1016/j.ti...

New paper in Ecology! We show how to incorporate basically any animal behavior into ecological networks models: doi.org/10.1002/ecy....

This paper looks pretty neat!

New open access review paper out now in Trends in Microbiology: www.sciencedirect.com/science/arti...

Really curious about any feedback you receive 👀

Congrats! Well deserved.

With sadness and respect, we honor the legacy of Dr. Jim Estes, who passed away this week. A pioneer of marine ecology, Jim’s groundbreaking work transformed our understanding of ecosystems and the essential role of keystone predators like sea otters. He is an icon in sea otter research. 🧵👇

Today's lesson: if you want to model agents with bodies, probably add physical constraints to their bones

New paper led by @janamassing.bsky.social, with @jdyeakel.bsky.social and @thilogross.bsky.social, on dynamics of cooperative bacteria: www.biorxiv.org/content/10.1...

Ours is still happening! You should apply: fau.wd1.myworkdayjobs.com/en-US/FAU/de...

When animals' decision-making processes are disrupted, models predict that small mistakes like false alarms will be magnified, spreading contagiously on a grand scale

My department is looking for an Assistant Professor in the broad area of 'biological systems.' Would be great for a theoretical or quantitative empirical ecologist. Any system/taxa are ok. Come work with me! fau.wd1.myworkdayjobs.com/en-US/FAU/de... #facultyjobs #ecology

This is the way I would do it

`barrnap` is super good and easy for this: github.com/tseemann/bar...

This is the color of my childhood super nintendo

Yes, the apparent violation of competitive exclusion in nature has guided the search for overlooked niches and other forms of density dependence, that can explain mismatch between theory and data. We talk about all of this in the paper.

A real step toward understanding how local structure shapes global dynamics! We think this insight will be useful not just for webs, but other networked systems from power grids to epidemics.

In other words, transient dynamics of foodwebs can be broken down into contributions from building blocks! This is huge. It means measuring reactivity of a single species or a specific interaction can already tell us how much risk of violent perturbations originates from that part of the network.

We show mathematically why this is the case and why it’s unlikely that undiscovered motifs with similar predictive power exist. But then it gets interesting. We find that reactivity (short-term violent responses to perturbations) is different. Unlike stability, reactivity is rooted in small motifs.

We ask: when can you predict dynamics of a network just by knowing the dynamics of a small part of it (a motif)? In food webs, the answer is almost never. One famous exception is competitive exclusion: two consumers sharing a single resource can't coexist, precluding stability of the whole web.

New paper! (arxiv.org/abs/2503.14093) I haven’t been this excited about one in a while, and I think the theory @mhab.bsky.social develops here will be a big step forward for the field. Why? Let me explain 🧵...

Once again experienced the 'Abrams Effect': thinking you've had an original idea in theoretical ecology but it's actually an esoteric Peter Abrams book chapter from the 80's with no electronic copy online. Time to update the references list...

Really proud of our little school by the beach gaining R1 status: www.fau.edu/research/r1/

[Ayo!]: I have a 2-year #postdoc available for an ecologist Florida Atlantic University. Apply by Dec 1, here: t.co/XwMgMKnUYJ