28 October 2020

Scientists at LiU have simulated what happens in ecosystems when the habitats of different species disappear. When plants and animals lose their habitats, predator species at the top of the food chain die out first. The results may provide information for and strengthen initiatives to preserve biodiversity.

butterfly on rooftop in cityHuman land-use affects anilas and plants. Photo credit Nate Hovee/iStock

One of the most serious threats against biodiversity is habitat loss. Humans cause severe changes in the landscapes when converting or removing natural land to be used for construction or food production. In addition, climate change is also causing some regions to become uninhabitable for some species. Researchers at LiU have developed a mathematical method to investigate how large ecosystems are affected when habitat disappears.Anna Eklöf.Anna Eklöf. Photo credit Anna Nilsen

“We can reach two important conclusions from our study. The first is that initiatives to preserve biological diversity must preserve habitat and not only focus on a particular species. It is very important to consider the interactions between the ecosystem’s species by looking at the food web – which animals and plants are eaten by which other animals. The second conclusion is that the order in which habitats disappear has a profound significance” says Anna Eklöf, senior lecturer in the Department of Physics, Chemistry and Biology (IFM).

The LiU researchers use modelling and computer simulations to study ecological networks, which describe how the various species in an ecosystem interact. The article, published in Ecology Letters, combines two mathematical models: a classical and a new one. The model described in the article distinguishes between suitable habitats in which species can live, and other areas in which they cannot. Suitable habitat patches are distributed across the landscape, with different plant and animal species spread across them. The species are connected to each other in a food web, a network that describes how they feed on each other. A hare eats several types of plants, the hare and several other prey species can become food for foxes, and the fox is one of the predators at the top of the food web.

The survival of an animal in a particular habitat depends on having the correct prey animals or plants in the same habitat patch. The model developed by the researchers also considers how effectively species can move between the habitat patches. In the real world, the habitat patches are often separated by inhospitable regions, such as a road with heavy traffic, that can prevent plants and animals from moving between them. If dispersal between different habitat patches becomes more difficult, probability increases that a species becomes extinct in the ecological network – which in turn influences the survival of other species.grazing animals in Serengeti national park.Serengeti national park. Photo credit Thomas Fuhrmann (snowman@snowmanstudios.de) CC BY-SA 4.0

The researchers have used the model to analyse a large number of simulated networks involving several hundreds of species. They also tested the model on a dataset of measurements describing the food web of the Serengeti National Park in Tanzania. In order to investigate how ecosystems are affected by habitat loss, the researchers ranked the habitat patches in order of how important they are for species at the bottom of the food chain. They then simulated three different ways in which habitat loss can occur: with the least important habitat patches removed first, the most important ones first, or removing them in a random order. The destruction of habitat in a random order is similar to what happens when humans construct roads or buildings without considering how valuable the region is for different species.György Barabas.György Barabas. Photo credit IFM Linkoping University

“In our model, the species at the upper levels of the food chain die out first when habitat patches are lost. What surprised us was that the damage to the ecosystem was almost the same when patches were lost in a random order as when the most valuable patches were lost first”, says research fellow György Barabás.

The researchers emphasize that it is important to classify how significant various habitats patches are when considering initiatives to preserve ecosystems, and to give priority to the most valuable ones. The resilience of the ecosystem to species extinctions can also be improved by, for example, strengthening connections between patches. By taking such matters into consideration when determining how land is used, humans can protect ecosystems and prevent species from becoming extinct – particularly species that are high up in the food chain.

This project is the result of an exchange with the German Center for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig and Friedrich-Schiller-Universität Jena where Johanna Häussler, doctoral student and one of the authors of the study. The research has received financial support from, among other sources, the Swedish Research Council.

Translated by George Farrants

The article:A Bayesian network approach to trophic metacommunities shows habitat loss accelerates top species extinctions”, Johanna Häussler, György Barabás and Anna Eklöf, (2020), Ecology Letters, published online on 27 September 2020, doi: 10.1111/ele.13607


Contact

More about the research

Latest news from LiU

Closeup of small pieces of liver in a petri dish.

A liver biopsy may predict spread of pancreatic cancer

Microscopic changes in the liver can be used to predict spread of pancreatic cancer. The discovery may provide new ways of predicting the course of the disease and preventing pancreatic cancer from spreading to other organs.

Woman with arms crossed.

She wants to make robots behave better

Researcher Hannah Pelikan believes that we will see increased conflicts between humans and robots in the future.  In her research, she films everyday encounters between humans and machines to see what happens.

Two men in a computer server hall.

International collaboration lays the foundation for AI for materials

AI is accelerating the development of new materials. Large-scale use and exchange of data on materials is facilitated by a broad international standard. A major international collaboration now presents an extended version of the OPTIMADE standard.