Publications by authors named "Jhonatan Sallo-Bravo"
Amazonian and Andean tree communities are not tracking current climate warming.
Proc Natl Acad Sci U S A
August 2025
Climate change is shifting species distributions, leading to changes in community composition and novel species assemblages worldwide. However, the responses of tropical forests to climate change across large-scale environmental gradients remain largely unexplored. Using long-term data over 66,000 trees of more than 2,500 species occurring over 3,500 m elevation along the hyperdiverse Amazon-to-Andes elevational gradients in Peru and Bolivia, we assessed community-level shifts in species composition over a 40+ y time span.
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- Alpine grasslands are crucial for biodiversity but face threats from climate change and environmental shifts, prompting research into how vegetation reacts to these changes for better ecosystem understanding.* -
- Researchers studied plant traits in Puna grasslands in the Peruvian Andes across 1314 meters in elevation, gathering data on plant composition, biomass, climate, and more over three years.* -
- The study resulted in a comprehensive dataset with 3,665 plant records and 54,036 trait measurements, significantly enhancing existing knowledge of local flora by 420% and including many previously undocumented plant traits.*
Article Synopsis
- Research discusses how current global climate models are based on air temperatures but fail to capture the soil temperatures beneath vegetation where many species thrive.
- New global maps present soil temperature and bioclimatic variables at 1-km resolution for specific depths, revealing that mean annual soil temperatures can differ significantly from air temperatures by up to 10°C.
- The findings indicate that relying on air temperature could misrepresent climate impacts on ecosystems, especially in colder regions, highlighting the need for more precise soil temperature data for ecological studies.
Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked.
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