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Silvilaser 2019

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ALS-derived indicators for monitoring sustainable forest management

Monitoring sustainable forest management (SFM) is an important step to verify the recovery of the forest ecosystem after a logging intervention. To overcome limitations associated with multispectral images to SFM monitoring, applications based on airborne laser scanning (ALS) technology are becoming more popular in the forest sector. The laser beam is capable to record information from different layers of the canopy, generating a geo-referenced point cloud. This study verified the capability of four indicators to differentiate the production unity logging stage. Seven annual production units (PU) locate in the western Amazon (Paragominas, PA, Brazil) were classified into 3 groups based on logging stage: non-logged, 2 years after logging and 5 years after logging. The indicators evaluated were the number of emergent trees (TOP), average above-ground biomass per square meter (AGB), the proportion of clearings per hectare (GAP), and the proportion of low relative density area per hectare (LRD). The indicators were calculated individually for each PU. Higher differences between stages were observed for GAP and LRD. In another hand, AGB and TOP were less sensible to the logging stage. In unlogged PUs, the TOP indicator was in average 5.33 individuals per hectare. Two years after logging the value decrease by 9%, and 5 years later the TOP returned to the same level of unlogged sites. The AGB for unlogged areas was 36.2 Kg/m². Two years after logging the AGB decrease by 11.41% and by 13% after 5 years, reaching 31 kg/m². LRD increased 113.3% two years after logging, moving from 1.7% to 3.6%. Five years after logging, LRD returned to a similar level of the unlogged sites (~ 2%). GAP increased two years after logging by 104% and five years after logging by 200%. Unlogged units showed on average 2.5% of clearings, increasing its value five years after logging to 7%. GAP and LDR were the most sensitive indicators to monitor recently logging stages. Both indicators are clearly associated with logging activities such as the opening of trails, roads, and tree falling. The indicators were able to differentiate the logging stage, however, they differed regard to sensitivity

Jhonathan Gomes Santos
UFRPE
Brazil

Vitor Antunes Martins Costa
UFVJM
Brazil

Adeliton da Fonseca Oliveira
IFMG
Brazil

Alex Augusto Abreu Bovo
ESALQ/USP
Brazil

Danilo Roberti Alves Almeida
ESALQ/USP
Brazil

Eric Bastos Gorgens
UFVJM
Brazil

 


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