Biomassa de espécies florestais em área de caatinga arbórea

Virgens, Aline Pereira das; Barreto-Garcia, Patrícia Anjos Bittencourt; Paula, Alessandro de; Carvalho, Flávia Ferreira de; Aragão, Mariana de Aquino; Monroe, Paulo Henrique Marques

doi:10.4336/2017.pfb.37.92.1465

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…B. Gillett, Croton sp., Jatropha mollissima (Pohl) Baill., Manihot glaziovii Mu ¨ll. Arg., Patagonula bahiensis Moric., and Pseudobombax simplicifolium A. Robyns species (Virgens et al 2017).…”

Section: Methodsmentioning

confidence: 99%

Short-term effects of forest management on litter decomposition in Caatinga dry forest

Matos

Barreto-Garcia

Gama-Rodrigues

et al. 2021

Energ. Ecol. Environ.

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Section: Methodsmentioning

confidence: 99%

Short-term effects of forest management on litter decomposition in Caatinga dry forest

Matos

Barreto-Garcia

Gama-Rodrigues

et al. 2021

Energ. Ecol. Environ.

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“…The largest biomass stocks are in the south of the map. The biomass in the municipality of Contendas do Sincorá was estimated at 37 Mg ha -1 , while Virgens et al (2016) estimated an average value of 29.2 Mg ha -1 . The authors classify the predominant vegetation in this area as arboreal Caatinga and in a late successional stage.…”

Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 96%

“…These biomass maps are needed to, in turn, create spatial understanding of variation in carbon stocks and carbon storage potential. Some maps have been developed continental and globally (Saatchi et al 2011), however, their relatively coarse spatial resolutions (≥ 1 km) limit their applications for local forest management, as does the fact that they contain relatively little information about the distribution potential of biomass in space (Virgens et al 2016) and its relationships with the region's intrinsic environmental factors or gradients.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of aboveground biomass stock in tropical dry forest in Brazil

Santos¹,

Lima²,

Souza³

et al. 2023

iForest

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Climate change is being intensified by anthropogenic emission of greenhouse gasses, highlighting the value of forests for carbon dioxide storing carbon in their biomass. Seasonally dry tropical forests are a neglected, threatened, but potentially critical biome for helping mitigate climate change. In South America, knowing the amount and distribution of carbon in Caatinga seasonally dry vegetation is essential to understand its contribution to the global carbon cycle and subsequently design a strategic plan for its conservation. The present study aimed to model and map the spatial distribution of the potential forest biomass stock across 32 forest fragments of Caatinga, in the state of Bahia, Brazil, using regression kriging and Inverse Square of Distance techniques, building from point measurements of vegetation biomass made on-the-ground in ecological plots. First, a model for estimating biomass was fitted as a function of environmental variables to apply regression kriging, and then applied to the maps of the selected components. Elevation, temperature, and precipitation explained 46% of the biomass variations in the Caatinga. The model residuals showed strong spatial dependence and were mapped based on geostatistical criteria, selecting the spherical semivariogram model for interpolation by ordinary kriging. Biomass was also mapped by the Inverse Square of Distance approach. The quality of the regression model suggests that there is good potential for estimating biomass here from environmental variables. The regression kriging showed greater detail in the spatial distribution and revealed a spatial trend of increasing biomass from the north to south of the domain. Additional studies with greater sampling intensity and the use of other explanatory variables are suggested to improve the model, as well as to maximize the technique's ability to capture the actual biomass behavior in this newly studied seasonally dry ecosystem.

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“…The first is the direct method, which weighs all the aboveground tree components (stems, branches, and leaves) on a scale in the field, thus providing a real value. The second is the indirect method, which aims to use some variables that can be easily obtained in the field without the need to cut down the plant to obtain aboveground biomass using biomass expansion factors and allometric models, obtaining an estimate of aboveground biomass (VIRGENS et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Effects of planting density on characteristics of sabiá wood

Pinheiro,

Alves,

Holanda

et al. 2024

Rev. Caatinga

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This study aimed to evaluate the biomass yield, volume, and basic density of Mimosa caesalpiniifolia Benth. wood in response to planting densities in 13-year-old trees. The research was conducted in Mossoró-RN using a randomized block design with three replications. Plants obtained from seeds collected from the natural vegetation of the Caatinga in Mossoró-RN were subjected to densities of 800 (5.0 m x 2.5 m), 1600 (2.5 m x 2.5 m), 2000 (2.0 m x 2.5 m), and 4000 (1.0 m x 2.5 m) plants ha-1. The following characteristics were assessed: plant height, diameter at breast height, cross-sectional area, basal area, individual volume, stere volume, aboveground biomass, and basic wood density. The dendrometric variables showed a high correlation with planting density. For DBH and cross-sectional area, higher values were observed in the lowest planting densities. The highest values of basal area, volume (m3), stere volume, and dry biomass per hectare were found at the highest planting density. Biomass allocation showed the sequence stem>branches>leaves, regardless of the planting density evaluated. The higher densities resulted in a higher basic density of the wood. The higher planting densities proved advantageous 13 years after planting due to the higher production of dry biomass, volume (m3), and stere volume per hectare.

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Biomassa de espécies florestais em área de caatinga arbórea

Cited by 8 publications

References 12 publications

Short-term effects of forest management on litter decomposition in Caatinga dry forest

Short-term effects of forest management on litter decomposition in Caatinga dry forest

Spatial distribution of aboveground biomass stock in tropical dry forest in Brazil

Effects of planting density on characteristics of sabiá wood

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