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Urban environments may be the ultimate training grounds for invasive species

As cities grow and urban sprawl expands, could these changing landscapes be giving invasive species a competitive edge? Scientists at the University of Florida Institute of Food and Agricultural Sciences (UF/IFAS) say the answer may be yes, according to a new study from the UF/IFAS Invasion Science Institute.

Urban environments may be the ultimate training grounds for invasive species

A new study from the University of Florida suggests that urban environments may be serving as ideal training grounds for invasive species. As cities grow and urban sprawl continues, some invasive plants are adapting to the hotter, drier conditions of these areas, potentially preparing them for a changing climate, according to the findings published in the journal Plants, People, Planet.

The research focused on the daisy fleabane, a native North American plant that has become widespread in Europe and parts of Asia. By comparing plant populations growing in urban and rural areas around Zagreb, Croatia, scientists found that urban populations were smaller but more tolerant of heat and drought. When exposed to warmer temperatures, drought, or a combination of both, the urban plants performed better than their rural counterparts.

This increased stress tolerance appeared to correlate with higher levels of urbanization where the seeds were collected. The researchers emphasize that cities are becoming major entry points for invasive species due to travel, trade, and human movement. As cities expand globally and climate change brings warmer and drier conditions, invasive species that adapt to urban environments could be better equipped to survive and potentially spread to surrounding rural areas.

This study highlights the importance of understanding how invasive species evolve in urban areas to better predict and manage their spread under future climate conditions.

Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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