ArticleScientific data2025
Plant community data along elevational gradients in China's 17 mountains.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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Who cites it
3 citing papers in PubMed.
- Woody Plant Diversity and Community Structure Along Elevational and Soil Gradients inEcology and evolution · 2026Article
- Elevational patterns of multidimensional plant diversity and community structure in a subtropical karst mountain system.Plant diversity · 2026Article
- Plant community data along elevational gradients in China's 17 mountains.Scientific data · 2025Article
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Authors and funding
29 authors.
Funding
Abstract
Mountains in China are crucial for biodiversity conservation due to unique topography and climate, providing essential habitats and refugia for many plant species. Standardized open datasets along elevational gradients across multiple mountains remain limited. Here we used standardized field protocols to collect plant diversity data of 370 permanent sampling plots along elevations in 17 mountains. Species identity and abundance of all woody plants with ≥ 1 cm diameter at breast height were recorded. We calculated species-level basal area, abundance, and relative importance value for all plants, and separately for two vegetation layers. The dataset spans 46° longitude, 24° latitude, ranges from 166 to 3,835 m a.s.l., and includes 1,493 species from 121 families and 449 genera. It covers nearly all major ecosystems from tropical rainforests to tundra, providing baseline data for studying plant diversity changes along elevations and latitudes. This dataset enables direct comparisons across mountains, helping evaluate impacts of climate and land-use changes on species range shifts and ecosystem transitions, and inform conservation strategies for mountain ecosystems.
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Registered trials
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