Biomassa acima do solo de um ecossistema de "campina" em Roraima, norte da Amazônia brasileira

Barbosa, Reinaldo Imbrózio; Ferreira, Carlos Alberto Cid

doi:10.1590/s0044-59672004000400009

Cited by 23 publications

(14 citation statements)

References 11 publications

(7 reference statements)

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“…However, it is important to estimate the amount of biomass in the leaf compartment because the extract and essential oil extractions were performed on the leaves. Because this information is not available in the literature for this species, estimations were performed according to the results obtained in study with native species developed by Barbosa and Ferreira (2004). The result of this present study suggests a potential prospective use of leaf raw material of this medicinal species, which would produce 23 tons of extract and approximately 3000 L of essential oil from the Amazon Legal Reserve seasonal semideciduous forest (610 ha).…”

Section: Cymbopogon Nardus L (Citronella) and Citrus Limoniamentioning

confidence: 82%

“…The leaf biomass of S. guianensis (Siparunaceae), a shrub that grows the Cerrado, was set considering 12% of the air component (Barbosa and Ferreira, 2004) of plants coleted and identified in the inventory of the species, made in permanent plot located in the Legal Reserve area in the Vale Verde rural settlement (S 11°52.582; W 048°58.913), Gurupi, Tocantins, Brazil. The shrubs living woody individuals with diameter at breast height (DBH) greater than 5 cm were inventoried (Felfili et al, 2005).…”

Section: Choosing the Species And Medicinal Biomassmentioning

confidence: 99%

“…Because the leaves do not undergo significant yield variations related to the seasonality of production under natural conditions (Castellani et al, 2006), they represent interesting biomass reservoirs for prospecting. Barbosa and Ferreira (2004), found que as native species sheets of dry forest in Roraima, north of the Brazilian Amazon, corresponding to 12% of the air component of tree species -shrubs. This reserve under native conditions is significant for obtaining extracts and/or essential oil.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Antimicrobial activity and medicinal biomass of Siparuna guianensis in Brazilian Cerrado forest, a global hotspot

Bessa¹,

Pereira²,

Ferraz³

et al. 2015

J. Med. Plants Res.

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Section: Cymbopogon Nardus L (Citronella) and Citrus Limoniamentioning

confidence: 82%

Section: Choosing the Species And Medicinal Biomassmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Antimicrobial activity and medicinal biomass of Siparuna guianensis in Brazilian Cerrado forest, a global hotspot

Bessa¹,

Pereira²,

Ferraz³

et al. 2015

J. Med. Plants Res.

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“…All species found in the plot were identified and trunk diameter and species height were measured for trees and shrubs. For shrub species, diameters were measured for each individual at 5 cm above the soil Chave et al (2005) and by Barbosa and Ferreira (2004), respectively. ρ is woody density, d is diameter at breast height, H is species height, Cb is circumference at ground height (cm), n is the number of points touched by a species, and N t is the total number of points in a sample (25 points).…”

Section: Vegetation Datamentioning

confidence: 99%

“…Aboveground biomass of woody individuals was estimated by two different allometric equations for shrubs and trees, respectively. Aboveground woody biomass (B s , kg) of shrubs was calculated using the allometric model developed by Barbosa and Ferreira (2004):…”

Section: Vegetation Datamentioning

confidence: 99%

Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil

et al. 2011

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Abstract. Development of efficient methodologies for mapping wetland vegetation is of key importance to wetland conservation. Here we propose the integration of a number of statistical techniques, in particular cluster analysis, universal kriging and error propagation modelling, to integrate observations from remote sensing and field sampling for mapping vegetation communities and estimating uncertainty. The approach results in seven vegetation communities with a known floral composition that can be mapped over large areas using remotely sensed data. The relationship between remotely sensed data and vegetation patterns, captured in four factorial axes, were described using multiple linear regression models. There were then used in a universal kriging procedure to reduce the mapping uncertainty. Cross-validation procedures and Monte Carlo simulations were used to quantify the uncertainty in the resulting map. Cross-validation showed that accuracy in classification varies according with the community type, as a result of sampling density and configuration. A map of uncertainty derived from Monte Carlo simulations revealed significant spatial variation in classification, but this had little impact on the proportion and arrangement of the communities observed. These results suggested that mapping improvement could be achieved by increasing the number of field observations of those communities with a scattered and small patch size distribution; or by including a larger number of digital images as explanatory variables in the model. Comparison of the resulting plant community map with a flood duration map, revealed that flooding duraCorrespondence to: J. Arieira (juarieira@ufmt.br) tion is an important driver of vegetation zonation. This mapping approach is able to integrate field point data and highresolution remote-sensing images, providing a new basis to map wetland vegetation and allow its future application in habitat management, conservation assessment and long-term ecological monitoring in wetland landscapes.

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The influence of late Quaternary sedimentation on vegetation in an Amazonian lowland megafan

Rossetti

Gribel

Tuomisto

et al. 2018

Earth Surf Processes Landf

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The largest areas of white‐sand vegetation in northern Amazonia are confined to Late Pleistocene–Holocene megafan depositional systems, which suggest a relationship between the two. The aim of this work is to determine: (i) the relative role of sedimentary history and recent ecological processes to explaining the mosaic of white‐sand forest patches, grasslands and shrublands in a wetland area of northern Amazonia; and (ii) the long‐term successional trajectory that led to the establishment of the white‐sand forest patches. Facies analysis was used to reconstruct the megafan paleoenvironment; δ13C, total organic carbon and carbon/nitrogen from sedimentary organic matter to reconstruct the past vegetation; and floristic inventories to characterize the modern vegetation. The results revealed that the Viruá megafan consists of various sandy sub‐environments, including aeolian sand dunes and sheets developed mostly in the Holocene after the megafan turned inactive as a depositional site. Dune margins and tops are colonized by white‐sand trees mixed with a few generalist rain‐forest species, whereas adjacent lower‐lying areas, which are affected by seasonal flooding, are covered by graminoid plants and/or shrubs. The latter initiated their development over the megafan surface in different times of the Holocene due to hydrological gradients imposed by the topography of the various megafan depositional environments, while the white‐sand forest became dominant only on sand dunes over the last few centuries. We suggest that the late Quaternary sedimentary history was crucial in creating morphologies that now determine topographic gradients responsible for different vegetation physiognomies over the Amazonian lowlands. Copyright © 2017 John Wiley & Sons, Ltd.

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Biomassa acima do solo de um ecossistema de "campina" em Roraima, norte da Amazônia brasileira

Cited by 23 publications

References 11 publications

Antimicrobial activity and medicinal biomass of Siparuna guianensis in Brazilian Cerrado forest, a global hotspot

Antimicrobial activity and medicinal biomass of Siparuna guianensis in Brazilian Cerrado forest, a global hotspot

Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil

The influence of late Quaternary sedimentation on vegetation in an Amazonian lowland megafan

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