South American Cloud Forests Face Major Losses by 2070, Study Finds
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A new study projects significant reductions in South America's unique cloud forest ecosystems by 2070 due to climate change. Under a high-emissions scenario, up to 91% of this habitat could be lost, while a more optimistic pathway still forecasts a 12% reduction. These forests are biodiversity hotspots, home to thousands of species found nowhere else.
Facts First
- Up to 91% of South American cloud forest area could be lost by 2070 under a high-emissions climate scenario.
- Even an optimistic scenario projects a 12% reduction, an area comparable to the size of El Salvador.
- These ecosystems harbor approximately 1,946 restricted-range species, representing about 8% of the world's mammals, birds, amphibians, and tree ferns.
- The study used machine learning and modeling to project distribution shifts, published in the Journal for Nature Conservation.
- Cloud forests are defined by persistent fog and cool temperatures and exist at elevations between 1,000 and 3,000 meters.
What Happened
A study published in the Journal for Nature Conservation used machine learning and modeling to project future shifts in South American cloud forest distribution by 2070. The research examined two different climate scenarios. Under a high-emissions pathway, up to 91% of cloud forest area could be lost. Under the most optimistic scenario, researchers calculate a 12% reduction in cloud forest area.
Why this Matters to You
While you may not live near a cloud forest, their decline is a tangible indicator of global climate change. The potential loss of these ecosystems could accelerate the extinction of unique species, which may disrupt broader ecological networks and reduce the planet's genetic diversity. The study's stark contrast between scenarios highlights that the scale of future environmental change is not yet fixed and may still be influenced by global policy decisions.
What's Next
The study's projections provide a scientific basis for conservation planning. Researchers and conservationists may use these models to identify areas most at risk and prioritize protection efforts. The fate of these forests and their endemic species will likely depend on which global emissions pathway is followed in the coming decades.