ARPHA Preprints, doi: 10.3897/arphapreprints.e127655
Pinus densiflora var. ussuriensis Forest Alliance
expand article infoyutong Zhang, Yuzhu Sui§, Hongfeng Wang|, Guangze Jin
‡ 13113450479, Haerbin, China§ 13836601754, Haerbin, China| (0451)-82191829, Haerbin, China¶ 13936299667, Haerbin, China
Open Access
Abstract

Pinus densiflora var. ussuriensis forest is a pine forest type unique to the northeast region of China, with a special habitat, strong barrenness and drought resistance, and normal growth under super-reversible ground conditions, as well as important ecological benefits such as water conservation, improvement of soil conditions, windbreaks and sand fixation, making it an important pioneer tree species for improving ground conditions. The paper through the natural distribution of China's Pinus densiflora var. ussuriensis forest field survey, combined with literature, the geographical distribution of Pinus densiflora var. ussuriensis forest, ecological characteristics, community characteristics, species composition and type division of the systematic analysis, the main results:

(1) According to 11 sample squares survey statistics, the natural Pinus densiflora var. ussuriensis forest recorded a total of 142 species of vascular plants, belonging to 55 families and 104 genera. Among them, there are 2 species of ferns, 1 species of gymnosperms and 139 species of angiosperms.

(2) The number of terrestrial herbs in the life type composition of the Pinus densiflora var. ussuriensis forest is the highest, followed by woody plants, and the proportion of bryophytes is the least.

(3) The Pinus densiflora var. ussuriensis forest located at the lake post of Xing Kai Lake is in a period of decline, and if the soil in the area continues to be moisturized, the cluster may eventually evolve into a broad-leaved mixed forest.

(4) According to the life type and dominant species, the Pinus densiflora var. ussuriensis forest can be divided into 2 clusters.

Keywords
Pinus densiflora var. ussuriensis, species diversity, community characteristics, community classification