ArticleScientific data2026
A Global Dataset of Alpine Treeline Elevational Transects.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- A Global Dataset of Alpine Treeline Elevational Transects.Scientific data · 2026Article
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Authors and funding
2 authors.
Funding
Abstract
The Alpine Treeline Ecotone (ATE) is an important ecological transition zone at the juncture of montane forests and alpine vegetation. It serves as a crucial habitat for diverse species and a sensitive indicator of climate change. Consistent characterization of the elevational gradients of ATE is challenging due to complex topography and data limitations. This study introduces a comprehensive geospatial dataset delineating 2.3 million elevational transects within global ATEs. The dataset integrates global climatology with key environmental attributes, such as elevation, landforms, hydrology, and land cover. These transects effectively map the ecological transition from dense montane forests to barren, higher-altitude ridges. Their spatial flexibility facilitates standardized comparative analysis of ATEs, effectively bridging the gap between local field studies and global assessments in alpine research. The dataset can be employed to model the elevational distribution of ecosystem properties within ATEs, track the temporal changes of environmental factors along the ATE's elevational gradients, and forecast the specific, enduring effects of climate change on mountain ecosystems worldwide.
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