Marcus Vinicio Neves d'Oliveira

TL;DR: In this paper, a model-assisted approach was used to estimate above ground forest biomass and identify areas disturbed by selective logging in a 1000-ha Brazilian tropical forest in the Antimary State Forest (FEA) using airborne lidar data.

TL;DR: In this paper, the authors used repeat flight, airborne laser scanning data (lidar) for estimating changes associated with low-impact selective logging (approx.10-15 m 3 ha −1 =5 -7%oftotalstanding volume harvested) in natural tropical forests in the Western Brazilian Amazon.

TL;DR: Recovery time is of direct relevance to policies governing management practices (i.e., allowable volumes cut and cutting cycle lengths), and indirectly to forest-based climate change mitigation interventions.

TL;DR: This study analyzes the first 5 years of growth and survival of five tropical tree species planted in skidding trails and exploitation gaps in Amazon and finds that Bertholletia excelsa presented a high mortality, around 80%, caused by severe predation by rodents.

TL;DR: In this paper, a farm-level bioeconomic model indicates that the best course for smallholders in the western Brazilian Amazon who seek to boost consumption levels over time is to convert forest to agriculture.