Presenting in the last session on the last day of a conference is always a struggle but happy with the audience I had. #ecm9 Showing #SCANDCAM data on the spatiotemporal overlap between lynx and reindeer. Also representing #Big_Picture announcing more international collaboration studies to come.

Looking forward to the challenge of presenting 8 years of #Scandcam in five minutes! It really makes you think about what the main take away of the project is and might result in some teasers for further discussion afterwards. Who else will present at #IWC2025?

Mountain Hares Are Adapted to Historical Climates—Coat Colour Mismatch is Greatest in Areas With the Largest Reduction in Snow Cover Duration Over the Last 60 Years

🔗 buff.ly/VZmeU1o
@SCANDCAM @hareklima

And to complete the thread: A big shout out to Allan Stokes who finished the work that Simen Pedersen and I started before he got on board, and of course all other co-authors in the fantastic #Scandcam team!

Oslo, er faktisk landets mest artsrike kommune 🥰
Vi er nordgrensen for mange av artene, og en god del av disse klamrer seg fast på øyene i fjorden. Samtidig vandrer det både ulv og gaupe i skogene her, sammen med rådyr, hjort og elg.
Ta en kikk selv, her

viltkamera.nina.no

Interessierte können die Aufnahmen von Wildtieren, die an den NINA-Wildkameras vorbeiziehen, unter viltkamera.nina.no einsehen.

Sjekk ut viltkamera.nina.no

A translates version is available through Google.
Unfortunately, the surveilance-data is used to track down and kill all of our large predators; wolves, brown bears, wolverines and lynx is killed off to _keep_ their numbers at near extinction levels.
viltkamera-nina-no.translate.goog?_x_tr_sl=aut...

Great initiative!
Check out this project by NINA in Norway.
viltkamera.nina.no

This study was possible thanks to the #Scandcam project and used camera-trap data on mountain hares and their coat colour from almost 700 locations throughout Norway over a timespan of 8 years. Many students helped classify the mountain hare images into three categories: brown, white, and moulting.