Image Credit: Sam Perrin, CC BY-SA 2.0, Image Cropped
As a fish ecologist living in Norway, it’s a joy to be able to travel to Melbourne and interact with the people that are driving forward fish science in my home country. So when I found out that the Australian Society of Fish Biology’s annual conference was taking place 3 days after my first flight home since 2016, I knew it was an opportunity I couldn’t pass up.
We’re on the last day of the conference at the moment, and over the next 2 months I’m looking forward to bringing you a number of insights, including interviews with guest speakers Eva Plaganyi and Gretta Pecl and pioneers of intriguing projects like Peter Unmack and Jarod Lyon. I’ll also have a fish edition of The Changing Face of Ecology, and some articles on how the angling community and the fish science community interact in a country with one of the most unique fish assemblages in the world.
Species associations will change as the climate rises. So how can we attempt to predict these changes (Image Credit: Charles J Sharp, CC BY-SA 4.0, Image Cropped)
Using joint species distribution models for evaluating how species-to-species associations depend on the environmental context (2017) Tikhonov et al, Methods in Ecology and Evolution, DOI: https://doi.org/10.1111/2041-210X.12723
Statistical modelling is a crucial part of ecology. Being able to provide an (admittedly simplified) mathematical description of the relationship between species abundance, range or density and the surrounding environment is a huge help in taking proactive steps to manage an ecosystem, or predicting species numbers in other areas.
Historically models have used environmental variables to explain population or evolutionary developments in species. When modelling a single species, many ecologists have taken into account that the presence of other species (for example competitors or predators) may influence the presence of this single species. This has led to the rise of joint species distribution models (JSDMs), which take into account environmental variables, as well as the interactions between certain species. These models have become increasingly useful, and with environmental change now being the norm in many ecosystems, this week’s authors produced one such model that accounts for changes in species interactions in the face of changing environmental factors.