Tag Archives: bear

Bear-ly Moving

It’s Fat Bear Week!

An annual (as chosen by the fans) competition to find the bear who had the most summer gains in preparation for their winter downtime. As they won’t be coming out to forage during the winter months, the bears need to spend the summer months not only regaining that which they lost the previous winter but also shoring up their reserves for the coming winter. This means finding foods that are rich (fatty) and plentiful – salmon happen to tick both of these boxes and are one of the highly sought after snacks over the summer time.

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Check out the before and after shots of these cuddly teddies below!

Fat Bear Week 2021: Before-and-After Pictures of the Contenders

Although this year’s winner has already been voted for (all hail Otis) there is always next year to pick out your bracket and vote for the bear that you think deserves the honours of being the Fat Bear Champion.


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.

Over-Bearing

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.

Using Yesterday’s Models for Today’s Conservation

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

The Crux

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.

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Rasmus Hansson: The Intricacies of Environmental Politics

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.

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