Spatial Distribution of Aboveground Carbon Stock of the Arboreal Vegetation in Brazilian Biomes of Savanna, Atlantic Forest and Semi-Arid Woodland

Scolforo, Henrique Ferraço; Scolforo, José Roberto Soares; Mello, Carlos Rogério de; Mello, José Márcio de; Filho, Antônio Carlos Ferraz

doi:10.1371/journal.pone.0128781

Cited by 55 publications

(44 citation statements)

References 14 publications

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“…Carbon stock depends on variables such as local climate, relief, forest species, and soil characteristics, including water and nutrients availability (BROWN and JOHNSTONE, 2011;SCOLFORO et al, 2015), suggesting that carbon is stored differently by ecosystems and biomes.…”

Section: Introductionmentioning

confidence: 99%

“…In this sense geostatistical analysis, such as spatial interpolation technique, has been widely applied in cases involving carbon analysis in large dimension areas (CONSTANTINI et al, 2012;MISHRA et al, 2012;SCOLFORO et al, 2015;SCOLFORO et al, 2016). On the other hand, Morais (2014) detected high heterogeneity of carbon stock in soil, roots and litter in smaller areas, such as vegetation belonging to the Cerrado biome, in the state of Minas Gerais.…”

Section: Introductionmentioning

confidence: 99%

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Spatial and Vertical Distribution of Litter and Belowground Carbon in a Brazilian Cerrado Vegetation

Morais

Santos

Mello

et al. 2017

CERNE

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Forest ecosystems contribute significantly to store greenhouse gases. This paper aimed to investigate the spatial and vertical distribution of litter, roots, and soil carbon. We obtained biomass and carbon of compartments (litter, roots, and soil) in a vegetation from Cerrado biome, state of Minas Gerais, Brazil. The materials were collected in 7 0.5 m² sub-plots randomly allocated in the vegetation. Root and soil samples were taken from five soil layers across the 0-100 cm depth. Roots were classified into three diameter classes: fine (<5 mm), medium (5-10 mm), and coarse (>10 mm) roots. The carbon stock was mapped through geostatistical analysis. The results indicated averages of soil carbon stock of 208.5 Mg . ha -1 (94.6% of the total carbon), root carbon of 6.8 Mg . ha -1 (3.1%), and litter of 5 Mg . ha -1 (2.3%). The root carbon was majority stored in coarse roots (83%), followed by fine (10%), and medium roots (7%). The largest portion of fine roots concentrated in the 0-10 cm soil depth, whereas medium and coarse roots were majority in the 10-20 cm depth. The largest portion of soil (53%) and root (85%) carbon were stored in superficial soil layers (above 40 cm). As conclusion, the carbon spatial distribution follows a reasonable trend among the compartments. There is a vertical relation of which the deeper the soil layer, the lower the soil and root carbon stock. Excepting the shallowest layer, coarse roots held the largest portion of carbon across the evaluated soil layers. DISTRIBUIÇÃO ESPACIAL E VERTICAL DO CARBONO EM SERAPILHEIRA E SUBSOLO EM VEGETAÇÃO DO CERRADO BRASILEIRORESUMO: Ecossistemas florestais contribuem significativamente para estocar gases do efeito estufa. Objetivou-se investigar a distribuição espacial e vertical do carbono em serapilheira, raízes e solo. Foram obtidos biomassa e carbono de compartimentos (serapilheira, raiz e solo) em vegetação do bioma Cerrado, Minas Gerais, Brasil. O material foi coletado em 7 sub-parcelas de 0,5 m² aleatoriamente alocadas na vegetação. As amostras de raízes e solo foram tiradas de cinco camadas do solo na profundidade de 0-100 cm. Raízes foram classificadas em três classes: raízes finas (<5 mm), médias (5-10 mm) e grossas (>10 mm). Estoques de carbono foram mapeados usando análise geoestatística. Resultados indicaram médias do estoque de carbono no solo de 208,5 Mg . ha -1 (94,6% do carbono total), carbono nas raízes de 6,8 Mg . ha -1 (3,1%), e na serapilheira de 5 Mg . ha -1 (2,3%). Carbono de raízes foi majoritariamente estocado nas raízes grossas (83%), seguido das finas (10%) e médias (7%). A maior porção das raízes finas se concentrou na camada de 0-10 cm, enquanto que raízes médias e grossas majoritariamente entre 10-20 cm. A maior porção do carbono em solo (53%) e raízes (85%) estiveram estocados nas camadas superficiais do solo (acima de 40 cm). Como conclusão, a distribuição espacial do carbono segue razoável tendência entre os compartimentos. Há uma relação vertical de que quanto mais profunda a camada de solo, menor o estoque ...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial and Vertical Distribution of Litter and Belowground Carbon in a Brazilian Cerrado Vegetation

Morais

Santos

Mello

et al. 2017

CERNE

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“…A major advantage of the application of regressionkriging models is that in addition to prediction, the productivity map with spatial information about the stand is also produced (Scolforo et al, 2015). As a continuation of the developments regarding the hypsometric relationship approach presented in this study, it is believed that combining the results obtained here with the use of LiDAR (Light Detection and Ranging) technology will make it possible to model the height-diameter relationship using regression-kriging, achieving greater benefits.…”

Section: Predictive Validation Of the Hypsometric Approachesmentioning

confidence: 76%

“…The regression identifies the spatial behavior of the interest variable throughout the area, although without specific details of more specific locations (Mello et al, 2013;Scolforo et al, 2015). For the final result of the estimates to have more details about the specific points, a correction of the estimates developed by the regression model is necessary.…”

Section: Regression-krigingmentioning

confidence: 99%

Hypsometric approaches to Eucalyptus experiments in Brazil

Scolforo¹,

Raimundo²,

Scolforo³

et al. 2015

Afr. J. Agric. Res.

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The objective of this study was to determine the best method to estimate tree height by different hypsometric approaches. This study is a provenance trial with Eucalyptus spp. in a 35-year-old pioneering plantation in the municipality of Lavras, Brazil. The census was taken by measuring the diameter at 1.30 m above ground and total height. All x and y coordinates of the individual trees were obtained and these trees were classified according to their stem quality. The ordinary kriging, cokriging and ordinary kriging of the residuals generated from the regression models were fitted by an exponential model. The Curtis model was selected for calculating the regression. The best method to estimate the height-diameter relationship was based on the statistical and graphical criteria. The spatial prediction model did not adequately represent the height-diameter relationship. The regression technique was more precise and accurate by inserting variables that helped capture different development standards of the trees. The regression-kriging produced more accurate total height estimates. Inclusion of the stochastic effect in the general spatial behavior of the total height variable helped to capture specific details about the stand. Therefore, this method is recommended for experimental areas.

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“…In this context, the geostatistical theory and its spatial interpolation capabilities (Mello et al, 2015;Scolforo et al, 2015) are the tools that allow to quantify precisely and accurately this kind variable. Such methods are widely employed in meteorological, soil attributes and hydrological studies, among others (Ahmed;Marsily 1987;AnguloMartinez et al, 2009;Hengl;Heuvelink;Rossiter, 2007;Mello et al, 2013), with great results.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of the litter carbon stock in the Cerrado biome in Minas Gerais state, Brazil

Morais

Mello

et al. 2017

Ciênc. agrotec.

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Litter corresponds to the layer of decomposing dead organic matter present on the soil surface. This layer is very important for nutrient cycling and contributes with organic matter accumulation in the soil, besides the carbon stock. The objective herein was to quantify the carbon biomass, both content and stock, and map the litter C-stock in the Cerrado biome, which is formed by Savanna Grassland (SG), Cerrado Stricto Sensu (CE) and Forest Savanna (FS), in Minas Gerais state, southeastern Brazil. The data were collected in 26 fragments in Minas Gerais state, totaling 210 sampling locations. A variographic study was conducted and, for mapping, the ordinary kriging method was used for delimitation of homogeneous zones. It was possible to detect high variability in the carbon biomass, carbon content and C-stock in the Cerrado biome litter in Minas Gerais state. The carbon content presented lower variability, ranging from 40 to 44%, so that it is not responsible for explaining the variability of the litter C-stock. Savanna Grassland and Savanna Forest present, respectively, the lowest and highest C-stocks. C-stock presented a considerable spatial structure dependence, allowing to use the geostatistical procedures for mapping it in the Cerrado biome of the Minas Gerais state. The C-stock kriging map showed good accuracy, allowing to verify that the lowest C-stocks in the litter are found from the center to the northern of the Minas Gerais since the highest air temperatures are also verified in this direction.Index terms: Climate change; Kriging; mapping procedures; accumulated biomass. RESUMOA serrapilheira corresponde à camada de matéria morta em decomposição presente sobre o solo. Esta camada é de grande importância na ciclagem de nutrientes e aporte de matéria orgânica sobre o solo, além de estocar carbono. Objetivou-se quantificar a biomassa, teor e estoque de carbono e espacializar o estoque de C da serrapilheira do Cerrado de Minas Gerais. Os dados foram coletados em 26 fragmentos de Cerrado no Estado de MG, totalizando 335 pontos amostrados em todo estado. Foi realizado o estudo variográfico e, para o mapeamento, utilizou-se a Krigagem, para delimitação de zonas homogêneas. Foi possível detectar alta variabilidade nas características avaliadas, biomassa, teor e estoque de carbono na serrapilheira do Cerrado em Minas Gerais, Brasil. O teor de C foi a característica que apresentou menor variabilidade, com intervalo de 40-44%, de modo que não é um atributo crítico para explicar o estoque de C na serrapilheira. O Campo Cerrado tem o mais baixo estoque de C, e o Cerradão o mais alto. O estoque de C apresenta considerável dependência da estrutura espacial, permitindo o uso de procedimentos geoestatísticos para mapeá-lo no bioma Cerrado do estado de Minas Gerais. O mapa de krigagem de estoque de C mostrou boa precisão e com base nele, foi possível verificar que os estoques de menor teor de carbono na serrapulheira são encontrados do centro para o norte do estado de Minas Gerais, onde temse as maiores tempera...

show abstract

Spatial Distribution of Aboveground Carbon Stock of the Arboreal Vegetation in Brazilian Biomes of Savanna, Atlantic Forest and Semi-Arid Woodland

Cited by 55 publications

References 14 publications

Spatial and Vertical Distribution of Litter and Belowground Carbon in a Brazilian Cerrado Vegetation

Spatial and Vertical Distribution of Litter and Belowground Carbon in a Brazilian Cerrado Vegetation

Hypsometric approaches to Eucalyptus experiments in Brazil

Spatial distribution of the litter carbon stock in the Cerrado biome in Minas Gerais state, Brazil

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