Ecological and Environmental Modeling (ECOMOD)

Research in the division of Ecologiscal and environmental modelling is united through the use of mathematical modelling and a commitment to a systems approach. We study the structure, dynamics, and sustainability outcomes, of a wide diversity of ecological and socio-ecological systems.

Although our work often uses large datasets, what we study varies widely: From a food-web in the Baltic sea to disease spread in livestock across the whole United States, and all the way up to global agricultural nutrient yield gaps.

Members of the division have different academic backgrounds. This includes biology, mathematics, and natural resource science.

Contact

Head of division

Research groups

Wennergren Group

Uno Wennergren

Lindström Group

Tom Lindström

Associate professor, Head of Division, Docent

Stefan Sellman

Principal Research Engineer

Eklöf Group

Anna Eklöf

Senior associate professor

Mikael Ohlsson

PhD student

Metson Group

Genevieve Metson

Associate professor, Docent

Emmy Johansson

Research Assistant

Anna Katarzyna Sieczko

Paulien Van de Vlasakker

PhD student

Kara Tai

Master Student

Barabas Group

György Barabas

Associate professor, Docent

Other affiliated researchers

Tomas Jonsson

Visiting Professor

Research

Computational code frog and network system.

Research in ecological and environmental modelling

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

Education

tekfak doctoral studies theory modelling natural sciences bioinformatics

Doctoral studies in Theory and Modelling in Natural Sciences

Research within this area has a broad scientific profile, sharing a common core of mathematical modelling, numerical methods and computer simulations.

News

Better wildlife observation with new counting method

Are wildlife populations increasing or decreasing? It is difficult to count wild animals, but the amount harvested through hunting gives an indication. Now, these statistics can be made more useful, thanks to a new model developed by researchers.

György Barabas, Assistant professor, IFM

He is modelling ecological systems

Dr Barabas is a theoretical population biologist who translates species’ traits and relationships into equations and mathematical models, mapping the theory of coexistence between species.

Two young women collecting samples in a urban garden in front of city houses.

Urban agriculture – is it all good?

Many cities are seeing an increasing interest for homegrown food. But researchers want to find out: is there also a downside to urban agriculture in the shape of nutrient loss to waterways?

Address

Visiting address

Campus Valla, Building F

Mail address

Linköping University
IFM
581 83 Linköping

Organisation

Department of Physics, Chemistry and Biology (IFM)

Undergraduate teaching and research in the areas of biology, chemistry, materials and applied physics and theory and modelling are conducted at this department.

Ecological and Environmental Modeling (ECOMOD)

Contact

Head of division

Tom Lindström

Emmelie Wernström

Research groups

Wennergren Group

Lindström Group

Eklöf Group

Metson Group

Barabas Group

Other affiliated researchers

Research

Research in ecological and environmental modelling

Education

Doctoral studies in Theory and Modelling in Natural Sciences

News

Better wildlife observation with new counting method

He is modelling ecological systems

Urban agriculture – is it all good?

Reconnecting The Phosphorus loop

Sustainable agriculture to reduce hunger and eutrophication

Habitat loss is bad news for species – especially for top predators

Higher day-time methane emissions from northern lakes

49 million Swedish crowns for research into sustainable development

He prevents the spread of infection

Food production with greater sustainability – how?

Deeper understanding of species roles in ecosystems

Predicting damage in disturbed ecosystems

Address

Visiting address

Mail address

Organisation

Department of Physics, Chemistry and Biology (IFM)

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