Journal of Agricultural Big Data ›› 2025, Vol. 7 ›› Issue (2): 246-245.doi: 10.19788/j.issn.2096-6369.100047

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A Dataset on Leaf Functional Traits of a Pioneer Species (Pyracantha fortuneana) in the Karst Region of Guizhou, Southwest China

DU JiaoYan1,2(), ZHANG HongYu2, LI AnDing3, CAO Yang1, CAI GuoJun1,4,*()   

  1. 1. Pintang Karst Peak-cluster Depression Ecosystem Observation and Research Station of Guizhou Province, Guizhou, Pingtang, 558300, China
    2. College of Life Sciences, Guizhou Normal University, Guiyang 550025, China
    3. Guizhou Institute of Biology, Guizhou Academy of Sciences, Guiyang 550009, China
    4. College of Environment & Ecology, Hunan Agricultural University, Changsha 410128, China
  • Received:2024-11-19 Accepted:2025-01-08 Online:2025-06-26 Published:2025-06-23
  • Contact: CAI GuoJun

Abstract:

Understanding the responses of leaf functional traits of plants to environmental changes is crucial for revealing plant adaptation strategies. Leaf trait databases have emerged as a crucial tool for investigating plant adaptation and a wide range of ecological studies. However, there is still a lack of large-scale leaf trait data for specific species and habitats, and few regional-scale studies have been reported on plant leaf traits in the karst area. Here, we collected 8,120 leaves from 406 individuals of Pyracantha fortuneana, a pioneer species widely distributed in the karst region of Guizhou Province, at 93 sampling sites distributed in the karst region of Guizhou, Southwest China. We measured and calculated nine morphological traits (e.g., leaf fresh weight, dry weight, length, width, area, and specific leaf area) and six chemical traits (e.g., carbon, nitrogen, and phosphorus content and their stoichiometry ratios). Soil samples were also collected from the 93 sites to determine soil organic carbon, total nitrogen, and total phosphorus content. This dataset, named "A dataset on leaf functional traits of a pioneer species (Pyracantha fortuneana) in the karst region of Guizhou, Southwest China" includes 6 Sheets in Excel format: (1) descriptions of functional traits, (2) geographic information and brief environmental descriptions of sampling sites, (3) measured data for morphological traits of 8,120 leaves, (4) carbon, nitrogen, and phosphorus content and their stoichiometry of 406 Pyracantha fortuneana individuals, (5) soil total organic carbon, total nitrogen, and total phosphorus content of 93 sampling sites, and (6) mean values of morphological traits at each sampling site. This dataset provides a solid foundation for quantifying the variation of leaf functional traits and their responses to the environment in the karst region, and can also serve as a valuable resource for other large-scale studies on plant functional traits.

Data summary:

Item Description
Dataset name A Dataset on Leaf Functional Traits of a Pioneer Species (Pyracantha fortuneana) in the Karst Region of Guizhou, Southwest China
Specific subject area Ecology
Research topic Plant functional traits
Time range 2023.07-2023.08
Geographical scope Guizhou Province, China
Data types .xlsx
Dataset structure The dataset includes 9 morphological traits (e.g., leaf fresh weight, dry weight, length, width, area, and specific leaf area) and six chemical traits (e.g., carbon, nitrogen, and phosphorus content and their stoichiometry ratios) of 8,120 leaves from 406 individuals of Pyracantha fortuneana collected form 93 sampling sites distributed in the karst region of Guizhou, Southwest China.
Volume of dataset 1.79 MB
Key index in dataset Leaf length, Leaf width, Leaf thickness, Leaf area, Leaf fresh weight, Leaf dry weight, Specific leaf area, Leaf carbon content, Leaf nitrogen content, Leaf phosphorus content
Data accessibility CSTR: 17058.11.sciencedb.agriculture.00182; https://cstr.cn/17058.11.sciencedb.agriculture.00182
DOI: 10.57760/sciencedb.agriculture.00182; https://doi.org/10.57760/sciencedb.agriculture.00182
Financial support Key Science and Technology Program of Guizhou Province (No.[2022]200 General), Natural Science Foundation of Guizhou Province(No.[2018]1410), Guizhou Provincial Science and Technology Projects(No. YWZ[2024]002, No. YWZ[2024]005 )

Key words: plant functional traits, scientific data, Karst, plants adaptation strategies, Karst ecological restoration