Climate Change Forces Species to Move: Study Reveals Underestimated Extinction Risks

Climate change poses a significant threat to plant and animal species, especially when their habitats shift. A study conducted by researchers at the University of Potsdam highlights that existing prediction models underestimate the extinction risk for species forced to migrate due to climate change. Published on July 11, 2026, the findings call for urgent revisions to current assessment methods.

Impact of Habitat Shifts on Species Survival

The research team, including scientists Raya Keuth, Susanne Fritz, and Damaris Zurell, systematically evaluated the IUCN Red List guidelines for assessing climate-related extinction risk. Their study revealed that traditional species distribution models (SDMs) consistently underestimate the risks faced by species whose habitats are shifting rather than disappearing.

These models assume a linear relationship between population size and habitat loss, which is not supported by empirical evidence. The researchers found that even minor habitat losses could lead to significant population declines in species that are forced to relocate.

Limitations of Current Extinction Risk Assessments

The study's findings reveal fundamental weaknesses in the IUCN Red List's approach to assessing extinction risk under climate change. The current quantitative extinction risk thresholds, estimated using spatially explicit population models (SEPMs), are deemed too conservative. This conservatism results in delayed warnings for effective conservation action.

• Key findings from the study include:
• Current models underestimate extinction risk for range-shifting species.
• Small habitat losses can cause sharp population declines.
• Existing assessment methods require urgent updates to improve accuracy.

Recommendations for Improved Conservation Strategies

In light of their findings, the researchers emphasize the need to update the IUCN Red List guidelines. They propose recommendations for better integrating existing modeling approaches and identifying more informative metrics that enhance assessments of climate-related extinction risk.

“Our research highlights the urgent need to improve the IUCN Red List guidelines so that conservation measures can be planned and implemented in time,” says Raya Keuth.

Improving prediction accuracy is essential to effectively combat the ongoing loss of biodiversity, as climate change continues to reshape ecosystems worldwide.