michael catchen

@mdcatchen.bsky.social

data scientist/research software engineer, Schmidt Center for Data Science and Environment @ UC Berkeley. building open software for bioacoustic monitoring. phd in ML for biogeography of species interaction networks. gottacatchenall.github.io he/him

🚨 New preprint! What happens to bumblebee pollination networks as species ranges shift due to climate change? 🐝🪻🕸️ In the Rocky Mountains, we predict these networks are becoming "vertically disassembled" as the ranges of interacting species shift upward in elevation at different rates.

Scientific figure depicting species elevational range shifts under three different climate scenarios in the top left, and bivariate plots depicting hotspots of species gain and loss in the southern rocky mountains on the right.

Are interacting species showing more similar responses to environmental predictors than expected by chance? Is this similarity protecting species pairs from interaction disruption under climate change? If you want to find out, join us for a fully funded Ph.D. with @epic-biodiversity.org 🌎🧪

ÉPICBiodiversity@epic-biodiversity.org · 3mo ago

Join us! We are looking for a Ph.D. student to work on the response of ecological network structure to environmental drivers; this line of research can be adapted to questions on climate change, phylogenetic conservatism, and more! 🧪🌎 epic-biodiversity.org/opportunities/

🚨🐭🦠 New preprint! Monitoring wildlife disease is expensive, so we need to be smart about where we sample to get as much useful info as possible. We show how SDMs can guide adaptive sampling for zoonotic disease surveillance, using case studies in rodents.

A conceptual figure outlining a protocol for using species distribution models to prioritize sampling for pathogens in wildlifeA scientific figure showing a case study of the protocol applied to Arenaviridae in rodents in India

This is, not a joke, one of my favourite papers in a long time. Absolutely stellar co-authors, but also a straight line from "nitpicky little nerds obsessing over sampling" to "translational research with clear implications for management". Go read all about it here: ecoevorxiv.org/repository/v...

A protocol for biodiversity-informed wildlife disease surveillance

ecoevorxiv.org

ÉPICBiodiversity@epic-biodiversity.org · 8mo ago

🧪 New @mdcatchen.bsky.social preprint! Here's how we can decide where to look for wildlife disease, based on combinations of biodiversity, uncertainty, and prevalence data. This is a really cool paper, that is pushing the boundaries of what we can do with sampling and monitoring techniques.

I'm just worried. Even pre-AI, it was really pulling teeth to get some (not all) PhD students to take the time to look up the formula the R package used, make sure its what they actually want to calculate, and validate what R spits out (note: I don't take students like this anymore)

🦠🌿🐦🧪 How can biodiversity monitoring help global efforts in disease surveillance? With ✨ fantastic ✨ colleagues from @viralemergence.org and the @geobon.org working group on One Health, we try to identify three key lessons for the future. 🧵 A short thread! academic.oup.com/bioscience/a...

Biodiversity science and biosurveillance are fellow travelers

The failure to meet the Aichi targets to alleviate global biodiversity decline (Nature 2020) was a wake-up call to the biodiversity monitoring community (T

academic.oup.com