Rodrigo Geroni
Graduated in Forest Engineering at UFPR, with experience in forest management, working in the sub-areas of forest mensuration, planning forest assets production and modeling of forest growth and yield. Currently professor of undergraduate and graduate courses in Forest Engineering and Graduate Program of Forest Sciences respectively at the Amazon Rural Federal University, notably in the disciplines of Forest Inventory and Forest Mensuration.
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community in the Tapajós National Forest in Belterra, State of Pará, Brazil. The analyzed data came from monitoring trees with diameter at 1.3 above ground level (DBH) ≥ 5cm, in 36 permanent plots. Measurements were carried out on nine occasions over a 31-year period (1981-2012). All individuals were identified at the species level and classified according to the ecological group. Most trees belong to the ecological group of late secondary species. This explains why the structure of the already established trees, combined with their resilience and elasticity, favored post-harvest recovery, advancing towards the natural balance.The percentage of mortality of the remaining trees (1981 to 2012) was concentrated in the two smallest diameter classes and accumulated
more than half (52%) of the tree community (remnant from 1981), being represented mainly by pioneers and initial secondary species. Considering that the high intensity of exploitation caused large clearings due to the logging of practically all the dominant trees, the growth of remnant trees was favored and a dynamic recovery of the understory was observed, initially by light-tolerant species and over time by species from ecological
groups with lower light requirements.
, deduced from model B, is the more precise model for the non-invasive determination of leaflet area in acai seedlings.
inadequate methods for estimating merchantable timber volumes have been employed in the Amazon, and Brazilian Government agencies still require some of them. The natural variability of the Amazon Forest provides an abundance of species of different sizes and shapes, conferring several peculiarities, which makes it necessary to use up-to-date and precise methods for timber quantification in Amazon Forest management. Given the employment of insufficient estimation methods for wood volume, this study scrutinizes the disparities between the actual harvested merchantable wood volume and the volume estimated by the forest inventory during the harvesting phase across five distinct public forest areas operating under sustainable forest management oncessions. We used mixed-effect models to evaluate the relationships between inventory and harvested volume for genera and forest regions. We performed an equivalence test to assess the similarity between the volumes obtained during the pre-and post-harvest phases. We calculated root mean square error and percentage bias for merchantable volume as accuracy metrics. There was a strong tendency for the 100% forest inventory to overestimate merchantable wood volume, regardless of genus and managed area. There was a significant discrepancy between the volumes inventoried and harvested in different regions intended for sustainable forest management, in which only 22% of the groups evaluated were equivalent. The methods currently practiced by
forest companies for determining pre-harvest merchantable volume are inaccurate enough to support sustainable forest management in the Amazon. They may even facilitate the region’s illegal timber extraction and organized crime.
climate change with the storage of carbon in the aboveground biomass of tree species. In this context,
the present research aimed to analyze the spatial distribution of secondary forests and estimate the
aboveground biomass accumulation of land cover of different ages in the state of Pará. The spatial
patterns of the secondary forests in Pará state were evaluated with hot spot analysis algorithms using
data from the TerraClass project for the 2004–2014 time period. The results showed that the spatial
distribution of the secondary forests did not occur randomly in space, but suggested local geopolitical
influences. The younger secondary forests had the most deforested areas during the study period.
Approximately 5% of Pará had its secondary forests deforested in 2014. In general, the balance of
the secondary forests was positive. The aboveground biomass accumulation differed according to
the secondary forest ages during the study period as evaluated in two pilot areas. It was observed
that the secondary forests > 10 years old in pilot area A had an average of 23% of old-growth forest
aboveground biomass in the same area, while in pilot area B, the secondary forests > 10 years old had
an average of 32.7% of old-growth forest aboveground biomass.
To help you access and share our work, we have a Share Link – a personalized URL - providing 50 days' free access to our article. Anyone clicking on this link before February 06, 2021 will be taken directly to the final version of our article on ScienceDirect, which they are welcome to read or download. No sign up, registration or fees are required.
https://www.sciencedirect.com/science/article/pii/S0378112720316315?dgcid=author
community in the Tapajós National Forest in Belterra, State of Pará, Brazil. The analyzed data came from monitoring trees with diameter at 1.3 above ground level (DBH) ≥ 5cm, in 36 permanent plots. Measurements were carried out on nine occasions over a 31-year period (1981-2012). All individuals were identified at the species level and classified according to the ecological group. Most trees belong to the ecological group of late secondary species. This explains why the structure of the already established trees, combined with their resilience and elasticity, favored post-harvest recovery, advancing towards the natural balance.The percentage of mortality of the remaining trees (1981 to 2012) was concentrated in the two smallest diameter classes and accumulated
more than half (52%) of the tree community (remnant from 1981), being represented mainly by pioneers and initial secondary species. Considering that the high intensity of exploitation caused large clearings due to the logging of practically all the dominant trees, the growth of remnant trees was favored and a dynamic recovery of the understory was observed, initially by light-tolerant species and over time by species from ecological
groups with lower light requirements.
, deduced from model B, is the more precise model for the non-invasive determination of leaflet area in acai seedlings.
inadequate methods for estimating merchantable timber volumes have been employed in the Amazon, and Brazilian Government agencies still require some of them. The natural variability of the Amazon Forest provides an abundance of species of different sizes and shapes, conferring several peculiarities, which makes it necessary to use up-to-date and precise methods for timber quantification in Amazon Forest management. Given the employment of insufficient estimation methods for wood volume, this study scrutinizes the disparities between the actual harvested merchantable wood volume and the volume estimated by the forest inventory during the harvesting phase across five distinct public forest areas operating under sustainable forest management oncessions. We used mixed-effect models to evaluate the relationships between inventory and harvested volume for genera and forest regions. We performed an equivalence test to assess the similarity between the volumes obtained during the pre-and post-harvest phases. We calculated root mean square error and percentage bias for merchantable volume as accuracy metrics. There was a strong tendency for the 100% forest inventory to overestimate merchantable wood volume, regardless of genus and managed area. There was a significant discrepancy between the volumes inventoried and harvested in different regions intended for sustainable forest management, in which only 22% of the groups evaluated were equivalent. The methods currently practiced by
forest companies for determining pre-harvest merchantable volume are inaccurate enough to support sustainable forest management in the Amazon. They may even facilitate the region’s illegal timber extraction and organized crime.
climate change with the storage of carbon in the aboveground biomass of tree species. In this context,
the present research aimed to analyze the spatial distribution of secondary forests and estimate the
aboveground biomass accumulation of land cover of different ages in the state of Pará. The spatial
patterns of the secondary forests in Pará state were evaluated with hot spot analysis algorithms using
data from the TerraClass project for the 2004–2014 time period. The results showed that the spatial
distribution of the secondary forests did not occur randomly in space, but suggested local geopolitical
influences. The younger secondary forests had the most deforested areas during the study period.
Approximately 5% of Pará had its secondary forests deforested in 2014. In general, the balance of
the secondary forests was positive. The aboveground biomass accumulation differed according to
the secondary forest ages during the study period as evaluated in two pilot areas. It was observed
that the secondary forests > 10 years old in pilot area A had an average of 23% of old-growth forest
aboveground biomass in the same area, while in pilot area B, the secondary forests > 10 years old had
an average of 32.7% of old-growth forest aboveground biomass.
To help you access and share our work, we have a Share Link – a personalized URL - providing 50 days' free access to our article. Anyone clicking on this link before February 06, 2021 will be taken directly to the final version of our article on ScienceDirect, which they are welcome to read or download. No sign up, registration or fees are required.
https://www.sciencedirect.com/science/article/pii/S0378112720316315?dgcid=author