Above and belowground carbon stock in a tropical forest in Brazil

Abstract

An increase in atmospheric CO2 levels and global climate changes have led to an increased focus on CO2 capture mechanisms. The in situ quantification and spatial patterns of forest carbon stocks can provide a better picture of the carbon cycle and a deeper understanding of the functions and services of forest ecosystems. This study aimed to determine the aboveground (tree trunks) and belowground (soil and fine roots, at four depths) carbon stocks in a tropical forest in Brazil and to evaluate the spatial patterns of carbon in the three different compartments and in the total stock. Census data from a semideciduous seasonal forest were used to estimate the aboveground carbon stock. The carbon stocks of soil and fine roots were sampled in 52 plots at depths of 0-20, 20-40, 40-60, and 60-80 cm, combined with the measured bulk density. The total estimated carbon stock was 267.52 Mg ha-1, of which 35.23% was in aboveground biomass, 63.22% in soil, and 1.54% in roots. In the soil, a spatial pattern of the carbon stock was repeated at all depths analyzed, with a reduction in the amount of carbon as the depth increased. The carbon stock of the trees followed the same spatial pattern as the soil, indicating a relationship between these variables. In the fine roots, the carbon stock decreased with increasing depth, but the spatial gradient did not follow the same pattern as the soil and trees, which indicated that the root carbon stock was most likely influenced by other factors.

Impact of patch size on tree biomass and carbon stock from a tropical dry forest of West Bengal, India

“…It was varied from minimum 22.923 tC/ha (1 ha patch) to maximum 183.959 tC/ha (100 ha patch). Carbon stock values for tropical forests have also been reported in different parts of the world which are belonging to (Dantas et al, 2021;Figueiredo et al 2015) and just over (Behera et al, 2017;Hoshizaki et al, 2004) the recorded values of 10 ha, 50 ha and 100ha patch. But 1 hac patch represents very low amount carbon stock values compared to the previ- ous report, due to its smallest size through most significant disturbances among rest of the patches.…”

Physical, chemical and microbiological soil attributes influence soil greenhouse gases fluxes in Atlantic Forest and pine (Pinus taeda) plantations in Brazil

“…These results can be attributed to several factors related to the functioning of each forest ecosystem. First, deposits of organic residues by the native forest were an easily decomposable type of organic matter, which favours nutrient cycling and the MB‐C and microbial activity of the soil (Bini et al, 2013; Butterbach‐Bahl et al, 2013; Dantas et al, 2020; Park et al, 2012). Meanwhile, the pine plantations produced organic residues that form more lignin‐rich SOM, which is more recalcitrant to microbial degradation; and pine plantations may also have exuded compounds such as terpenes that inhibited the activity of soil microorganisms (Bini et al, 2013; Dietz et al, 2020; Olsson et al, 2019; Veloso et al, 2018; Xu et al, 2020).…”

Machine learning for carbon stock prediction in a tropical forest in Southeastern Brazil

“…In this context, the quantification of the carbon stock present in the most varied types of forests constitutes 132 an important tool for monitoring this ecosystem service (Scolforo et al 2015). Many initiatives have been taken to quantify carbon stocks in forests, both by direct means (Dantas et al 2021) and through estimates from related data (indirect methods) (Cordeiro et al 2018).…”