Citation

BibTex format

@article{Wang:2022:10.1038/s41597-022-01884-4,
author = {Wang, H and Harrison, SP and Li, M and Prentice, IC and Qiao, S and Wang, R and Xu, H and Mengoli, G and Peng, Y and Yang, Y},
doi = {10.1038/s41597-022-01884-4},
journal = {Scientific Data},
title = {The China plant trait database version 2},
url = {http://dx.doi.org/10.1038/s41597-022-01884-4},
volume = {9},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Plant functional traits represent adaptive strategies to the environment, linked to biophysical and biogeochemical processes and ecosystem functioning. Compilations of trait data facilitate research in multiple fields from plant ecology through to land-surface modelling. Here we present version 2 of the China Plant Trait Database, which contains information on morphometric, physical, chemical, photosynthetic and hydraulic traits from 1529 unique species in 140 sites spanning a diversity of vegetation types. Version 2 has five improvements compared to the previous version: (1) new data from a 4-km elevation transect on the edge of Tibetan Plateau, including alpine vegetation types not sampled previously; (2) inclusion of traits related to hydraulic processes, including specific sapwood conductance, the area ratio of sapwood to leaf, wood density and turgor loss point; (3) inclusion of information on soil properties to complement the existing data on climate and vegetation (4) assessments and flagging the reliability of individual trait measurements; and (5) inclusion of standardized templates for systematical field sampling and measurements.
AU - Wang,H
AU - Harrison,SP
AU - Li,M
AU - Prentice,IC
AU - Qiao,S
AU - Wang,R
AU - Xu,H
AU - Mengoli,G
AU - Peng,Y
AU - Yang,Y
DO - 10.1038/s41597-022-01884-4
PY - 2022///
SN - 2052-4463
TI - The China plant trait database version 2
T2 - Scientific Data
UR - http://dx.doi.org/10.1038/s41597-022-01884-4
UR - http://hdl.handle.net/10044/1/101052
VL - 9
ER -