This data set takes Maowusu Sandy Land, Hunshandake Sandy Land, Horqin Sandy Land and Hulunbeier Sandy Land as the survey area, with a total of 291 survey points in 2017-2021. Focus on investigating vegetation types such as evergreen coniferous forest, deciduous broad-leaved forest, deciduous small leaved sparse forest, evergreen coniferous shrub, deciduous broad-leaved shrub, shrub grassland, and weed grassland distributed in the research area. The main vegetation formations investigated include 84 species, among which the main tree formations include Baiqian Forest, Elm Sparse Forest, Camphor Pine Forest, Betula platyphylla Forest, etc. The shrub formations include Forked Juniper Shrubs, Long stemmed Almond Shrubs, Small leaved Caragana Shrubs, Artemisia Salina Shrubs, etc. The main herbaceous formations include Silver Grey Convolvulus Grassland, Long Manger Grassland, Sand Peng Grassland, Sand Whip Grassland, Achnatherum splendens Grassland, etc.
During the survey, 3209 photos of community habitats were taken, taking all communities distributed in the study area as the survey subjects. In order to study the soil conditions in the survey area, a total of 272 soil profiles were taken from 272 sampling points. In order to investigate the vertical structure of the community, unmanned aerial vehicles were used to take overall landscape photos of the sample plot at 6 vertical heights of 10 m, 20 m, 30 m, 50 m, 70 m, 90 m, and 110 m. A total of 1703 unmanned aerial vehicle photos of 263 sample points were taken. And use a camera to capture the horizontal distribution characteristics of plant communities and shrubs and herbaceous samples, in order to facilitate the division of plant community boundaries and study the spatial distribution pattern characteristics of plant populations.
Autonomously generated
Field collection and digital processing.
Use high pixel cameras and drones to take photos, choose weather with sufficient light and low wind speed to prevent blurred images. After taking photos, name them according to the requirements and create various folders to keep them. Delete duplicate photos and select photos with higher clarity to upload to the database.
| # | number | name | type |
| 1 | 2017FY100200 | Survey of main plant communities in Chinese desert | Basic Resource Survey Project |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.NCDC.I-VEG.DB4085.2023
10.12072/ncdc.i-veg.db4085.2023
