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Plant Breeding and Biotechnology

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Updated: Aug 17, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits

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The China plant trait database version 2.

Han Wang¹, Sandy P Harrison^2,3, Meng Li⁴

¹Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, 100084, China. wang_han@tsinghua.edu.cn.

Scientific Data

|December 15, 2022

Summary

This summary is machine-generated.

The China Plant Trait Database V2 expands plant trait data, including new hydraulic traits and soil properties. This resource aids ecological research and land-surface modeling across diverse Chinese vegetation types.

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Area of Science:

Ecology
Biogeochemistry
Land-surface modeling

Background:

Plant functional traits are key to understanding species adaptation and ecosystem processes.
Comprehensive trait datasets are crucial for ecological and climate modeling research.

Purpose of the Study:

To present version 2 of the China Plant Trait Database, enhancing its scope and data quality.
To incorporate new trait data, including hydraulic and soil properties, and improve data reliability.

Main Methods:

Compiled morphometric, physical, chemical, photosynthetic, and hydraulic traits for 1529 species.
Included data from a new 4-km elevation transect on the Tibetan Plateau.
Added soil property data and implemented reliability assessments for trait measurements.

Main Results:

Version 2 includes expanded trait information, notably hydraulic traits like specific sapwood conductance and turgor loss point.
The database now covers a wider range of alpine vegetation types.
Enhanced data quality through reliability flagging and standardized sampling templates.

Conclusions:

The updated China Plant Trait Database provides a more comprehensive resource for plant trait research.
This database supports advancements in plant ecology, ecosystem functioning studies, and land-surface modeling.
The inclusion of hydraulic traits and soil data offers new avenues for climate change impact research.