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We use ecological networks and other modelling approaches to address a variety of community ecology questions.

In this project, Bayesian networks are used to estimate species probability to go extinct under different settings.

We are looking for relationships between species' traits (e.g., body size, metabolic category) and their roles in a set of well-resolved marine networks.

Natural resources are the building blocks of any eco system. Understanding where these resources are, how they flow on our landscapes, and why we see these use patterns are key questions to inform more sustainable management.

This project aims to improve access to water and sanitation for all by working in close cooperation with inhabitants of informal settlements to implement innovative grey-water reticulation and treatment systems.

This project explores whether and how the predictions for species loss are altered by the inclusion of the trophic niche, compared to other network-based approaches.

Understanding requirements and mechanisms for a species to succesfully track a climatic shift while being able to find its role and establish itself in new ecological network is one of the outstanding challenges for ecological research today.

Our research uses mathematical, computational, and statistical modeling techniques to integrate knowledge from large datasets across a variety of specialities.

We use mathematical and statistical models in order to analyse how ecological networks are structured and the factors that are driving the structural properties we see.

New methods can make it easier to predict the ecological role that a species will play when it is introduced into a new habitat. In a new study, researchers at Linköping University predict ecological roles based on easily-collected species traits.