HDM-Plot: a plot dataset of plant communities across three-dimensional zonal vegetation in the Hengduan Mountains and adjacent regions, southwestern China

Abstract. The Hengduan Mountains (HDM) constitute one of the world's richest biodiversity regions and are designated as a top-tier priority for ecological conservation. Vegetation investigation can help with the design and implementation of biodiversity conservation in this region. Here we present the HDM-Plot, a plot-based vegetation dataset compiled from 314 plots surveyed during four campaigns between 2022 and 2024 across the Hengduan Mountains and adjacent regions, across major vegetation types from lowland dry-hot valleys to alpine areas spanning altitudes of 754–4932 m. Each plot records detailed species-level information, including scientific name, growth form, life form, number of individuals or clumps, plant height, diameter at breast height or at base, crown width, and coverage, along with geographic coordinates and hierarchical vegetation classification. In total, the dataset comprises 14 113 individual records belonging to 1127 species from 379 genera and 117 families. The dominant families are Rosaceae (133 species), Ericaceae (93), Fabaceae (66), Asteraceae (63), and Fagaceae (37), and the dominant genera are Rhododendron (75), Berberis (34), Cotoneaster (30), Salix (24), and Quercus (22), with composition varying among vegetation types. Growth forms are mainly composed of shrubs (46.0 %), trees (27.3 %), and herbs (23.6 %). Herbs are dominated by perennial (92.1 %), shrubs are mainly deciduous broadleaf (59.7 %), and trees are primarily deciduous broadleaf (46.8 %) and evergreen broadleaf (41.6 %). Species richness, growth forms, and life forms show clear elevational changes within the HDM-Plot dataset. Floristically, genus-level areal-types in the HDM-Plot dataset are dominated by temperate elements (54.1 %), followed by tropical elements (35.4 %). 314 plots can be assigned to three vegetation formation groups, 18 vegetation formations, 142 alliance groups, 209 alliances, 238 association groups, and 299 associations. The HDM-Plot dataset provides an updated and standardized baseline for quantitative analyses of mountain vegetation, biodiversity assessment, and vegetation classification and mapping in southwestern China. Such information can be future used in the revisions of China's vegetation classification scheme and Vegegraphy of China. The dataset is available from Figshare (Jin et al., 2026a; https://doi.org/10.6084/m9.figshare.32706207) and through the National Tibetan Plateau/Third Pole Environment Data Center (Jin et al., 2026b; https://doi.org/10.11888/Terre.tpdc.303394).

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Journal
Earth system science data
Published
2026-07-02
DOI
https://doi.org/10.5194/essd-18-4489-2026
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
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article

HDM-Plot: a plot dataset of plant communities across three-dimensional zonal vegetation in the Hengduan Mountains and adjacent regions, southwestern China

Haojun Xia, Jian Ni, Yili Jin, Kai Wu et al.
Earth system science data
Species Distribution and Climate Change
article

HDM-Plot: a plot dataset of plant communities across three-dimensional zonal vegetation in the Hengduan Mountains and adjacent regions, southwestern China

Haojun Xia, Jian Ni, Yili Jin, Kai Wu, Ying Hou, Xiaofei Hu, Xingxing Mao, Chen Yang, Liuyiyi Yang, Shaolin Shi
article en

Abstract

Abstract. The Hengduan Mountains (HDM) constitute one of the world's richest biodiversity regions and are designated as a top-tier priority for ecological conservation. Vegetation investigation can help with the design and implementation of biodiversity conservation in this region. Here we present the HDM-Plot, a plot-based vegetation dataset compiled from 314 plots surveyed during four campaigns between 2022 and 2024 across the Hengduan Mountains and adjacent regions, across major vegetation types from lowland dry-hot valleys to alpine areas spanning altitudes of 754–4932 m. Each plot records detailed species-level information, including scientific name, growth form, life form, number of individuals or clumps, plant height, diameter at breast height or at base, crown width, and coverage, along with geographic coordinates and hierarchical vegetation classification. In total, the dataset comprises 14 113 individual records belonging to 1127 species from 379 genera and 117 families. The dominant families are Rosaceae (133 species), Ericaceae (93), Fabaceae (66), Asteraceae (63), and Fagaceae (37), and the dominant genera are Rhododendron (75), Berberis (34), Cotoneaster (30), Salix (24), and Quercus (22), with composition varying among vegetation types. Growth forms are mainly composed of shrubs (46.0 %), trees (27.3 %), and herbs (23.6 %). Herbs are dominated by perennial (92.1 %), shrubs are mainly deciduous broadleaf (59.7 %), and trees are primarily deciduous broadleaf (46.8 %) and evergreen broadleaf (41.6 %). Species richness, growth forms, and life forms show clear elevational changes within the HDM-Plot dataset. Floristically, genus-level areal-types in the HDM-Plot dataset are dominated by temperate elements (54.1 %), followed by tropical elements (35.4 %). 314 plots can be assigned to three vegetation formation groups, 18 vegetation formations, 142 alliance groups, 209 alliances, 238 association groups, and 299 associations. The HDM-Plot dataset provides an updated and standardized baseline for quantitative analyses of mountain vegetation, biodiversity assessment, and vegetation classification and mapping in southwestern China. Such information can be future used in the revisions of China's vegetation classification scheme and Vegegraphy of China. The dataset is available from Figshare (Jin et al., 2026a; https://doi.org/10.6084/m9.figshare.32706207) and through the National Tibetan Plateau/Third Pole Environment Data Center (Jin et al., 2026b; https://doi.org/10.11888/Terre.tpdc.303394).

Earth system science dataVol. 18(7)
Zhejiang Normal University (CN)
Chinese Academy of Sciences, Zhejiang Normal University, Sichuan University
Life in Land
Openalex Percentile: Top 9%
Species Distribution and Climate Change
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