Dynamics of 18 (<i>Sophora japonica</i>) Tree Community’s Crown Volume along Elevation Gradient in <i>Ye County</i>

Abstract

Applying plant community diversity techniques and SPSS statistic analysis, we quantified the relationship between crown volume of 18 (Sophora japonica) tree communities and elevation along different elevation gradient in Ye County in the study. We concluded that there was a significantly positive correlation between crown volume of 18 (Sophora japonica) tree communities and elevation gradient (P < 0.01). Elevation was the dominant environment driver crown volume of (Sophora japonica) tree communities increased along elevation from 50 m to 200 m in Ye County in 2018. Therefore, understanding dynamic connecting crown volume of 18 (Sophora japonica) communities and elevation can be not just applied to preserve of (Sophora japonica) tree communities, but also applied to sustainable of biodiversity and processes of tree community's crown volume along elevation.

Links between Biomass of (Cremastra Appendiculata) Stems Cuticle and Elevation by Big Data of Long-Time Wild Investigation in Mei County

“…[5] Links between number of medicinal tree species and elevation in forestation. [6]. Links between number of medicinal tree trunk volume and elevation at STEDS.…”

“…Links between height of medicinal tree and elevation in the natural landscape. [7]. Links between number of tree community crown volume and elevation in forest.…”

“…Links between number of tree individual specie's crown volume and elevation. [10]. Links between herbs number and different disturbance of different elevation.…”

“…There is a long-time investigation of the correlations among biomass of stems cuticle of medicinal plant species and elevation from 2005 to 2019. Investigation of "big data" included that biomass of stems cuticle or other index of medicinal plant species along different elevation and environmental gradient by previous our researches [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

“…More and more research has assessed the correlation among biomass (average height, numbers, biodiversity, structure) of plant species and elevation from biomass (average height, numbers. biodiversity, structure) of the medicinal plant perspective (Table 1) [1][2][3][4][5][6][7][8][9][10][11], for better future of human health (ecosystems) [6][7][8][9][10][11][12][13][14]. However, medicinal species with typical history spanning over 1500 years, as well as areas ecological adaptation of a lot of fresh biomass weight of medical species are unknown, and cognitive ecological theory of the links between fresh biomass weight of medicinal species and elevation can be unknown along elevation and environments [12][13][14][15][16][17][18][19].…”