Avoid or compete, eat or be eaten, exploit or cooperate – biotic communities are shaped by species interactions in many different ways. Urban environments represent a special case as human presence and influence may have fundamentally changed the rules of the game. Around 150 wildlife cameras installed by Berlin citizen scientists in their gardens in five rounds from autumn 2018 to autumn 2020 produced tens of thousands of photographs. Their analysis by a team of scientists from the Leibniz Institute for Zoo and Wildlife Research (Leibniz-IZW) sheds light on how foxes, racoons, martens and cats get along with people and with each other in the city: All three wild species used the same localities, but with little temporal overlap during the night. All wild species avoided domestic cats. And during lockdowns they were more often recorded, especially at night. These and more insights are published in a recent article in the “Journal of Animal Ecology”.
The analysis of the photographs is part of the citizen science project “Wildlife Researchers” at the Leibniz-IZW led by Stephanie Kramer-Schadt, one pillar of the science-to-society interface project “WTimpact” funded by the German Federal Ministry of Education and Research from 2017 to 2021. In the “Wildlife Researcher” project, professional scientists and Berlin citizens joined forces to investigate the ecology of urban wildlife. Gardens were chosen as study sites because they both attract and discourage wildlife by acting as a food supply with composts, crops or pet food leftovers, and are places of close encounters with people or domestic cats.
The project team divided the city of Berlin into a regular grid of almost 300 cells of two by two kilometres each. During five periods, lasting one month each, Berlin citizens with a private garden could apply and were chosen to produce an even distribution across the grid. Participating citizen scientists installed a wildlife camera in their garden, which photographed animals when the motion sensor of the camera detected movements. Scientists later combined these data with local information on gardens such as garden size, local tree cover, potential food sources and height of the fence as well as other information such as population density. In each sampling period the cameras recorded between 2200 and 3000 cat photos, 300 to 1200 red fox photos, 250 to 1000 raccoon photos and 50 to 300 stone marten photos, along with many photos of other mammals.
“What we were interested in is whether and how the flexible and adaptive carnivore species interacted spatially and temporally in human-dominated environments”, says first author Dr Julie Louvrier, IPODI fellow at Technical University of Berlin and visiting scientist at the Leibniz-IZW Department of Ecological Dynamics. “This means we wanted to know whether they use the same places, and if so, whether they avoid each other by coming at different times of day or night, for example.”
These are the main findings of Louvrier and her colleagues:
“We humans impose strong selective forces on wildlife species, thereby changing their behaviour and way of living. The lockdowns were a blessing in disguise, like an experiment, providing an opportunity to study what our wild neighbours do when people are suddenly absent from urban space, and we are extremely grateful to all citizen scientists who participated in our unique investigation”, Stephanie Kramer-Schadt says.
“Our investigation sheds light on the rules underlying interactions in a community of medium-sized carnivores in an urban environment”, says Louvrier. There are several factors that influence these interaction patterns both spatially and temporally, especially when considering the effect of human presence. People play the role of a “hyper-keystone” species and their pets exert dominance over local wildlife, even over species that are relatively well adjusted to human-dominated landscapes.
Journal of Animal Ecology
Meta-analysis
Animals
Spatiotemporal interactions of a novel mesocarnivore community in an urban environment before and during SARS-CoV-2 lockdown
14-Nov-2021