AI Insight
Researchers at the University of Potsdam have discovered that current extinction risk assessment models fail to adequately distinguish between species whose habitats disappear due to climate change versus those whose habitats shift geographically. The study reveals that this distinction significantly affects the accuracy of extinction predictions, with models systematically underestimating risk for species forced to relocate as climate zones move. The findings indicate that standard conservation assessment methods require urgent revision to account for habitat displacement scenarios.
Why it matters
Early and accurate identification of vulnerable species is critical for implementing timely conservation interventions. By revealing systematic gaps in current risk assessment models, this research provides important guidance for improving conservation planning tools and prioritizing species protection efforts in the face of climate change.
Understand the Science
Climate change threatens many plant and animal species not only when their habitats disappear as climatic conditions change, but also when those habitats shift. In a new study, a team of University of Potsdam researchers found that whether a species’ habitat disappears or shifts has a significant impact on how accurately different models can predict its risk of extinction. However, this distinction is not reflected in the current standard methods used to assess extinction risk. Because identifying vulnerable species early is essential for timely conservation action, the researchers argue that these methods urgently need to be revised.
Source: When species are forced to move: Prediction models underestimate climate-related extinction risk