Density is the gold standard of #cameratrap monitoring. But it’s famously hard to estimate, & has only been done before 1 species at a time.

We developed a multi-species Random Encounter Model (REM) to allow density estimation for a species community 🧵

besjournals.onlinelibrary.wiley.com/doi/abs/10.111… Why is this useful?

Managers, conservationists and, of course, community ecologists are often interested in multiple species at once. E.g. because they’d like to know the density of both predator & prey. Or simply for a more holistic understanding of the status of biodiversity.

You hear lots of people saying that #cameratraps are great. But just how do they stack up to rival methods (line transects, live traps, detector dogs, eDNA etc)? We had a go at answering this question using available data. 1/n

royalsocietypublishing.org/doi/10.1098/rs…
(📷 @Carolina_ASN) First step: we read a tonne of papers (systematically, mind). From thousands of studies, we whittled it down to 104 studies that yielded insights on camera traps vs other sampling methods. It’s obvious from the start: we realllly need more studies on this to be done. 2/n