Preprints
https://doi.org/10.5194/essd-2025-302
https://doi.org/10.5194/essd-2025-302
10 Jun 2025
 | 10 Jun 2025
Status: this preprint is currently under review for the journal ESSD.

Multi-Element Dataset Across Diverse Climatic Zones and Soil Profiles in China’s Mountains

Yuying Wu, Yuhan Wang, Wenzheng Yang, Jie Zhang, Yanhong Wu, Jun Li, Gan Zhang, and Haijian Bing

Abstract. Mountain ecosystems are crucial for global biodiversity conservation and climate regulation, yet their response to environmental change remains poorly understood due to limited high-resolution, multi-element datasets. Here, we present a comprehensive geochemical dataset comprising more than 1,300 soil samples collected from 166 sites across 30 mountain regions in China, spanning five major climatic zones and representative vegetation types. Soil samples were systematically collected from three standardized horizons (organic, surface mineral, and parent material), and analyzed for the concentrations of 24 elements, including macronutrients (e.g., phosphorus, potassium, calcium, magnesium), micronutrients (e.g., iron, molybdenum, manganese, copper), and trace metals (e.g., cadmium, chromium, lead, antimony). To support integrated Earth system analyses, the dataset is accompanied by key site-specific environmental variables, including climate parameters (temperature, precipitation, aridity index), normalized difference vegetation index, soil physicochemical properties (pH, moisture, bulk density), atmospheric nitrogen deposition, and chemical weathering index. The dataset reveals significant vertical stratification in element distributions, with organic horizon enriched in biogenic elements, and deeper horizons dominated by lithogenic components. Spatial patterns along latitudinal, longitudinal, and altitudinal gradients underscore the influence of climate and geology on soil chemistry. This open-access dataset provides a valuable resource for parameterizing and validating biogeochemical models, assessing soil quality in mountain regions, and improving predictions of ecosystem responses to global change. The dataset can be accessed via https://doi.org/10.11888/Terre.tpdc.302620 (Wu et al., 2025b).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Yuying Wu, Yuhan Wang, Wenzheng Yang, Jie Zhang, Yanhong Wu, Jun Li, Gan Zhang, and Haijian Bing

Status: open (until 18 Jul 2025)

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Yuying Wu, Yuhan Wang, Wenzheng Yang, Jie Zhang, Yanhong Wu, Jun Li, Gan Zhang, and Haijian Bing
Yuying Wu, Yuhan Wang, Wenzheng Yang, Jie Zhang, Yanhong Wu, Jun Li, Gan Zhang, and Haijian Bing

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Short summary
We developed a large, open-access dataset of mountain soil chemistry in China, based on over 1,300 samples from 166 sites across diverse climates and vegetation types. The dataset includes concentrations of 24 elements and key environmental variables like temperature, rainfall, and soil properties. This dataset offers a valuable resource for studying mountain ecosystems, supporting Earth system modeling, and predicting how soils respond to environmental change.
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