Physical fractions of organic matter and mineralizable soil carbon in forest fragments of the atlantic forest

8Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

This study determined the physical granulometric fractionation evaluated the mineraliza ble carbon within and around forest fragments of the Atlantic Forest biome located in the state of Paraná. Soil samples were collected at three three internal points of the fragments: the edge (E), the half radius (HR) and the center (CF); and one point in no-tillage system (NTS) areas around the fragments, in four replicates. The contents of total organic carbon (TOC), particulate fraction carbon (C-POM) and mineral fraction (C-MOM) were determined, and the %POM and %MOM and the stocks of POM (StockPOM) and MOM (StockMOM) were calculated, in addition to the indices: carbon stock index (CSI), lability (L), lability index (LI) and carbon management index (CMI), also evaluating CO2 emission, daily and accumulated. The highest TOC levels were observed in the CF point. The highest C-POM contents were observed in the E and CF points of fragment 1, in the CF point of fragment 2, and the highest C-MOM contents were expressed in the CF points of both fragments. CMI showed a distinct pattern among the fragments. The NTS areas showed lower C-CO2 emissions, with 39.8% and 28.3% less total emission compared to CF. The results of physical granulometric fractionation show the CF point favors the quality of SOM and the mineralizable carbon analysis indicated that the conversion of native areas into NTS compromises soil microbial activity.

Cite

CITATION STYLE

APA

Ozório, J. M. B., Rosset, J. S., Schiavo, J. A., Souza, C. B. da S., Farias, P. G. da S., Oliveira, N. de S., … Panachuki, E. (2020). Physical fractions of organic matter and mineralizable soil carbon in forest fragments of the atlantic forest. Revista Ambiente e Agua, 15(6), 1–19. https://doi.org/10.4136/ambi-agua.2601

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free