Effect of Temperature and Precipitation on Stem Biomass and Composition of White Birch (Betula Platyphylla) in Daxing’anling Mountains Inner Mongolia, China

Abstract

Forests play a major role in the regional and global carbon cycle. Climate change events have become serious issue, forests from various geographical regions have different sensitivities to climate variation. Therefore, we examine the effect of annual precipitation and annual temperature from 1950-2016 of white birch (Betula platyphylla) stem biomass and composition in Daxing'anling Mountain Inner Mongolia China. We conduct a field survey, a total of 27 plots were established as the research area. In this study, we used allometric equation including the following components: diameter at breast height (DBH) and tree height (H). Our result showed that the response of Betula platyphylla stem biomass has a strong correlation with annual precipitation (R 2 = 0.80), and with temperature (R 2 = 0.75). A positive correlation was found for height with annual precipitation (R 2 = 0.76) and annual temperature (R 2 = 0.51). Additionally, a slightly positive correlation was observed for density with annual precipitation (R 2 = 0.26) and annual temperature (R 2 = 0.20). Our results also predicted that competition for survival played a significant role in tree growth. To achieve fast tree growth and high stem biomass response, systematically based forest management strategies, including thinning operation and selective cuttings could be established even under harsh Mongolian weather conditions. Our finding could suggest forest management guidelines for the normal growth of Betula platyphylla forest.

Aboveground Biomass Models for Indigenous Tree Species in the Dry Afromontane Forest, Central Ethiopia

“…Tus, the variation of biomass among components of the woody plants could be due to plant architecture and morphology, climatic and edaphic factors, and forest management practices [7,54,58,65,66], availability of nutrients [67], age [68,69], and spacing [70]. For example, annual maximum temperature and precipitation had a positive impact on stem biomass [71]. Developing biomass equations for tropical dry forest species is essential to quantifying biomass and carbon stock, which encourage sustainable forest management of dry Afromontane forests [33].…”