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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
A tree-level inventory dataset of Picea crassifolia forests in the Qilian Mountains for spatial point pattern and
Shuying Yin1,2, Zongying Cao1,2, Zhirong Chen1,2
1School of Resources Environment and Life Sciences, Ningxia Normal University, Guyuan 756099, China.
Abstract:
This dataset was collected from four permanent plots of secondary Picea crassifolia forest in Yongdeng County, Gansu Province, in the eastern Qilian Mountains of northwestern China. The data include plot location and topographic information, as well as individual tree measurements of coordinates, diameter at breast height (DBH), tree height, east-west crown width, and north-south crown width. A total of >300 trees were recorded, representing a complete range of size classes from saplings to large-diameter trees. The dataset provides precise relative coordinates for each tree within the plots, enabling spatial point pattern analysis and neighbor competition index analysis at the individual tree level. It also serves as fundamental data for research in forest ecology, population spatial patterns, intraspecific competition, carbon stock estimation, and forest dynamics modeling.
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