SciELO - Scientific Electronic Library Online

 
vol.88 issue1Geologic conceptual model of the municipality of Sete Lagoas (MG, Brazil) and the surroundingsA new Mammutidae (Proboscidea, Mammalia) from the Late Miocene of Gansu Province, China author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Anais da Academia Brasileira de Ciências

Print version ISSN 0001-3765On-line version ISSN 1678-2690

Abstract

MELLO, LEONEL N.C.; SALES, MARCIO H.R.  and  ROSA, LUIZ P.. Analysis of results of biomass forest inventory in northeastern Amazon for development of REDD+ carbon project. An. Acad. Bras. Ciênc. [online]. 2016, vol.88, n.1, pp.55-64.  Epub Mar 04, 2016. ISSN 0001-3765.  https://doi.org/10.1590/0001-3765201620140646.

In Brazil, a significant reduction in deforestation rates occurred during the last decade. In spite of that fact, the average annual rates are still too high, approximately 400.000 ha/year (INPE/Prodes). The projects of emissions reduction through avoided deforestation (REED+) are an important tool to reduce deforestation rates in Brazil. Understanding the amazon forest structure, in terms of biomass stock is key to design avoided deforestation strategies. In this work, we analyze data results from aboveground biomass of 1,019.346,27 hectares in the state of Pará. It was collected data from 16,722 trees in 83 random independent plots. It was tested 4 allometric equations, for DBH > 10cm: Brown et al. (1989), Brown and Lugo (1999), Chambers et al. (2000), Higuchi et al. (1998). It revealed that the biggest carbon stock of above ground biomass is stocked on the interval at DBH between 30cm and 80cm. This biomass compartment stocks 75.70% of total biomass in Higuchi et al. (1998) equation, 75.56% of total biomass in Brown et al. (1989) equation, 78.83% of total biomass in Chambers et al. (2000) equation, and 73.22% in Brown and Lugo (1999) equation.

Keywords : deforestation in Amazon; REDD+ Projects; Climate change; Carbon forest.

        · abstract in Portuguese     · text in English     · English ( pdf )