Rhododendron Thymifolium Organ and Soil Elemental Stoichiometry
by 秉金 王·Updated 3mo ago
47.4 KB1files
Available on 2 platforms
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Description
Elemental concentrations of carbon, nitrogen, phosphorus, and potassium are measured in the coarse roots, fine roots, leaves, stems, and branches of the shrub Rhododendron thymifolium across the Qinghai–Tibet Plateau, with corresponding soil physicochemical properties. The dataset supports research into plant ecological stoichiometry and nutrient cycling in high-altitude environments. It is structured as a tabular dataset with a file size of 48,540 bytes.
Use Cases
Analyzing nutrient allocation strategies based on elemental concentrations in different plant organs.
Modeling plant-soil feedbacks using paired plant tissue and soil physicochemical property data.
Investigating ecological stoichiometry (C:N:P:K ratios) across plant tissues for a specific shrub species.
Studying the adaptation of Rhododendron thymifolium to the environmental conditions of the Qinghai–Tibet Plateau.
Strengths
Provides a multi-organ (roots, leaves, stems, branches) and multi-element (C, N, P, K) stoichiometric profile for a single species.
Includes paired soil physicochemical data, enabling direct plant-soil interaction analysis.
Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.
Limitations
Column names and the exact row count are not specified in the provided metadata, limiting immediate understanding of data structure.
The dataset's temporal coverage and specific sampling locations within the Qinghai–Tibet Plateau are not detailed.
Primary documentation is in a DOCX format, which may be less accessible for direct computational analysis than structured metadata.
Provenance
Source
Author is 秉金 王.
Collection Method
Likely contains field measurements of plant tissue and soil samples collected from the Qinghai–Tibet Plateau.
Time Range
null
Freshness
Last updated on 2026-03-21.
Geography
Qinghai–Tibet Plateau.
The primary data file format is DOCX, which may require extraction or conversion for analysis in statistical software.