The paparazzi are out – and this time no one is safe!
Using photos to identify individuals in a population has long been used for species that have unique markings or patterns – for example Wild Dogs or Orcas. Recent developments have used deep learning and facial recognition to identify individuals of less differentiable species such as brown bears. This allows researchers to ‘follow’ individuals in populations without the need for invasive marking/tagging methods.
Although it remains to be seen if this will pass the ratings of the annual Fat Bear Week…
Tanya Strydom is a PhD student at the Université de Montréal, mostly focusing on how we can use machine learning and artificial intelligence in ecology. Current research interests include (but are not limited to) predicting ecological networks, the role species traits and scale in ecological networks, general computer (and maths) geekiness, and a (seemingly) ever growing list of side projects. Tweets (sometimes related to actual science) can be found @TanyaS_08.
Image Credit: US Fish and Wildlife Service Headquarters, CC BY 2.0, Image Cropped
Are polar bear habitat resource selection functions developed from 1985-1995 data still useful? (2019) Durner et. al, Ecology and Evolution, https://doi.org/10.1002/ece3.5401
Ecologists often attempt to predict where species are using the spread of the resources that the species depends upon. This is done because often it’s simply easier to monitor the resources than the species. Resource selection functions (RSFs) are a tool which use the likelihood of a resource being used to predict a species distribution. However, if the landscape the resource is found in changes drastically, a resource selection function may start to be less useful.
In the early 2000s, using data collected in the 80s and 90s, US scientists developed RSFs for polar bears, a species which has regrettably become the poster child for the survival of the Arctic ecosystem. Even back then, the bears’ preferred habitat was receding. Now, with human-driven climate change severely reducing sea ice and markedly altering the bears’ habitat, this week’s authors wanted to know how well those RSFs work nowadays.
Rasmus Hansson, former leader of the Norwegian Green Party and the Norwegian WWF (Image Credit: Miljøpartiet de Grønne, CC BY-SA 2.0, Image Cropped)
Environmental politics is a tricky business. We live in a world where environmental crises are at the forefront of the news cycle, and in which science is simultaneously becoming the subject of distrust. So it makes sense that at this point, politics should be adapting and evolving as science does.
So when Rasmus Hansson stopped by NTNU last month, Sam Perrin and I took the chance to sit down with him and see whether this was the case. Rasmus studied polar bears at NTNU in the 70s, before later becoming the leader of the World Wildlife Fund in Norway and then of the Norwegian Green party. We spoke with Rasmus about the transition from conservation to politics, the clash of ideologies and the future of environmental politics.