Global review and state-of-the-art of biomass and carbon stock in the Amazon.

Understanding how studies have been carried out in the region helps to understand the Amazon rainforest potential in mitigating climate change. In addition, evaluating scientific production is essential to verify the main methods and places researched. Thus, this study objective was to build an overview and identify the main gaps regarding research related to biomass and carbon stocks with the coverage limit of the Amazon rainforest. Therefore, an analysis of the publications indexed in the Scopus database was developed until 2020, performing a bibliometric analysis and a systematic and state-of-the-art review. Initially 2042 publications were obtained, of which 786 met the inclusion criteria. The first work indexed in the Scopus database related to the theme was published in 1982. Over time, it was possible to observe an increasing behavior in relation to the interest in the theme. Natural environments were the most researched and change in the land use and occupation of the Amazon Rainforest is still poorly evaluated. Brazil is the country with the highest number of studies, followed by Peru and Colombia. Guyana and Suriname appear as possible scientific gaps and potential environments to be studied. Studies preferentially explore the biomass carbon, with the soil being little evaluated when compared to the total amount of papers found. When observing only the biomass studies, the aboveground biomass is the most evaluated, while the roots and necromass are little studied. The main variables used in biomass equations were diameter at 1.3 m above ground and total tree height. The biomass to carbon conversion factor has been widely used, but it can generate unreliable results. It is recommended to carry out local assessments of the carbon content, especially using the dry combustion method, which generates less waste, with more precise results and shorter execution time of the analyses. Such assessments present values for the location that can avoid false or misinterpretations of the biomass and carbon stocks in the Amazon Rainforest.

Evaluation of forest inventory processes in a forest under concession in the southwestern Brazilian Amazon / Avaliação de processos de inventário florestal em uma floresta sob concessão na Amazônia brasileira

Forest inventory procedures are of utmost importance to studies of wood volume stocks, and forest structure and diversity, which provide relevant information to public policies, management plans and ecological research. The present work focused on the performance of inventory techniques in the Amazon region to evaluate wood volume stocks with higher levels of accuracy while maintaining sampling intensity fixed. Two sampling processes were assessed: simple random sampling and two-stage cluster sampling. The processes were evaluated through the allocation of sampling units with different dimensions, and the effectiveness of the generated estimators was analyzed as a function of stand density and basal area. Simple random sampling resulted in the smallest errors, reaching 9% when all species were sampled together. The method depicted forest phytosociological parameters with greater sensitivity, whereas two-stage cluster sampling produced the least accurate estimators and presented slower responses to variation in phytosociological parameters. (AU)

O procedimento de inventário florestal é considerado de alta importância no que concerne estudos de estoque madeireiro, estrutura e diversidade florestal, que fornecem informações relevantes para políticas públicas, planos de manejo e pesquisas ecológicas. O presente trabalho buscou avaliar o desempenho de técnicas de inventário na região Amazônica para estimativa de estoques madeireiros com maior nível de acurácia, mantendo a intensidade amostral fixa. Dois processos de amostragem foram avaliados: amostragem aleatória simples e amostragem em dois estágios. Esses processos foram avaliados através de alocação de unidades amostrais com dimensões distintas, e os estimadores gerados foram analisados em função da densidade de árvores e da área basal. A amostragem aleatória simples produziu os menores erros, alcançando 9% quando todas as espécies foram amostradas conjuntamente, e mostrou-se mais eficiente na detecção de variações em parâmetros fitossociológicos. A amostragem em dois estágios produziu os estimadores menos acurados e apresentou respostas mais lentas às variações em parâmetros fitossociológicos.(AU)

Dynamics of carbon and CO2 removals by Brazilian forest plantations during 1990-2016.

BACKGROUND: We analyzed the dynamics of carbon (C) stocks and CO2 removals by Brazilian forest plantations over the period 1990-2016. Data on the extent of forests compiled from various sources were used in the calculations. Productivities were simulated using species-specific growth and yield simulators for the main trees species planted in the country. Biomass expansion factors, root-to-shoot ratios, wood densities, and carbon fractions compiled from literature were applied. C stocks in necromass (deadwood and litter) and harvested wood products (HWP) were also included in the calculations. RESULTS: Plantation forests stocked 231 Mt C in 1990 increasing to 612 Mt C in 2016 due to an increase in plantation area and higher productivity of the stands during the 26-year period. Eucalyptus contributed 58% of the C stock in 1990 and 71% in 2016 due to a remarkable increase in plantation area and productivity. Pinus reduced its proportion of the carbon storage due to its low growth in area, while the other species shared less than 6% of the C stocks during the period of study. Aboveground biomass, belowground biomass and necromass shared 71, 12, and 5% of the total C stocked in plantations in 2016, respectively. HWP stocked 76 Mt C in the period, which represents 12% of the total C stocked. Carbon dioxide removals by Brazilian forest plantations during the 26-year period totaled 1669 Gt CO2-e. CONCLUSIONS: The carbon dioxide removed by Brazilian forest plantations over the 26 years represent almost the totality of the country´s emissions from the waste sector within the same period, or from the agriculture, forestry and other land use sector in 2016. We concluded that forest plantations play an important role in mitigating GHG (greenhouse gases) emissions in Brazil. This study is helpful to improve national reporting on plantation forests and their GHG sequestration potential, and to achieve Brazil's Nationally Determined Contribution and the Paris Agreement.

Spatial patterns and interactions of dominant tree species in an Amazon tropical rainforest / Patrones e interacciones espaciales de especies arbóreas dominantes en un bosque tropical en la Amazonia

Abstract Knowledge of spatial patterns and interactions of tree species allows for understanding the ecological processes of spatiotemporal structures of tropical forests, becoming essential for the establishment of strategies for the conservation and management of their resources in the long term. The aim of this study was to investigate the spatial patterns and interactions of Astronium lecointei, Dinizia excelsa and Peltogyne paniculata, three dominant timber tree species in the Jamari National Forest, Rondônia, Brazilian Amazon. The Kernel estimator was used aiming to verify the possible influence of first-order factors on species distributions. Inhomogeneous K-functions were applied to analyze species spatial patterns and interactions by means of second-order factors. Univariate analyses revealed different scale-dependent spatial patterns for the species. Aggregation related to ecological characteristics, such as habitat preference and dispersal limitation, was verified for A. lecointei and P. paniculata. D. excelsa presented a random spatial pattern, explained by specific features of its establishment, such as the need for clearings due to light requirements. Interspecific associations were evidenced by bivariate analyses, in which spatial attraction of species resulted from the same preference for microhabitats and the repulsion was a result of niche segregation. Rev. Biol. Trop. 66(3): 1009-1017. Epub 2018 September 01.

Resumen El conocimiento de los patrones e interacciones espaciales de las especies arbóreas permite la comprensión de los procesos ecológicos de estructuración espacio-temporal de los bosques tropicales, tornándose imprescindible para el establecimiento de estrategias de conservación y manejo de sus recursos a largo plazo. El objetivo de este estudio fue investigar los patrones y las interacciones espaciales de Astronium lecointei, Dinizia excelsa y Peltogyne paniculata, tres especies arbóreas madereras dominantes en la Selva Nacional del Jamari, Rondônia, Amazonia Brasileña. Para ello, se utilizó el estimador Kernel, con el objetivo de verificar la posible influencia de factores de primer orden en la distribución de las especies. Para el análisis de los patrones e interacciones espaciales de las especies por medio de los factores de segundo orden, se empleó la función K no homogénea. Los análisis univariados revelaron diferentes patrones espaciales dependientes de la escala para las especies. Agregación relacionada a características ecológicas, como preferencia de hábitat y limitación de la dispersión, fue constatada para A. lecointei y P. paniculata. Dinizia excelsa presentó un patrón espacial aleatorio, explicado por características particulares de su establecimiento, como la necesidad de claros debido a sus requisitos lumínicos. Las asociaciones interespecíficas fueron evidenciadas por los análisis bivariados, en que la atracción espacial de las especies resultó de la misma preferencia por micro hábitats y la repulsión fue resultado de la segregación de nichos.

Capacidade produtiva local de Tectona grandis em Monte Dourado, Estado do Pará, Brasil / Local productive capacity of Tectona grandis in Monte Dourado, Pará State, Brazil

O trabalho teve como objetivo determinar a capacidade produtiva local da teca em Monte Dourado, Estado do Pará, Brasil, por meio da análise de curvas de índice de sítio. Os dados foram obtidos pela análise de tronco de dez árvores dominantes de um povoamento com 26 anos de idade. Foram ajustados dez modelos de regressão e o critério de seleção obedeceu ao menor erro padrão da estimativa, ao maior coeficiente de determinação ajustado, à significância do teste F e dos coeficientes de regressão e à análise gráfica dos resíduos. As curvas de índice de sítio foram confeccionadas pelo método da curva-guia. O modelo de Spillman apresenta o melhor ajuste, por meio do qual foram geradas três curvas de índice de sítio de 16m a 24m na idade-índice de 26 anos. A região de Monte Dourado, PA, apresenta potencial produtivo para o desenvolvimento da teca.

The study aims to determine the local productive capacity of teak in Monte Dourado, Pará State, Brazil, with the analysis of site index curves. The data were obtained by stem analysis of ten dominant trees in a stand with 26 years of age. Were adjusted ten regression models and the criterion for selection followed the lowest standard error of estimate, the highest adjusted coefficient of determination, the significance of F test and of regression coefficients and graphical analysis of the residuals. The site index curves were built by the guide-curve method. The Spillman model present the best fit, by which were generated three curves of site index from 16m to 24m, at 26 years of index-age. The region of Monte Dourado - PA showed a productive potential for the development of teak.

Relação hipsométrica para Pinus caribaea var. hondurensis e Pinus tecunumanii em povoamento homogêneo no Estado de Rondônia / Hypsometric relation to Pinus caribaea var. hondurensis and Pinus tecunumanii in pure stand in Rondônia State

Os plantios comerciais de Pinus foram estabelecidos no Brasil há mais de 30 anos, inicialmente nas regiões Sul e Sudeste. No entanto, com a introdução de espécies tropicais, tornou-se viável em todo o país. Considerando a importância da obtenção de parâmetros que permitam avaliar o crescimento e o potencial da produção de povoamentos de Pinus, o presente trabalho visa ajustar modelos tradicionais de relação hipsométrica para as espécies Pinus caribaea Morrelet var. hondurensis Barret & Golfari e Pinus tecunumanii Eguiluz & Perry, em povoamento homogêneo, no município de Vilhena, Estado de Rondônia. Foram ajustados dez modelos, e o critério de seleção obedeceu ao menor erro padrão de estimativa (Syx por cento), maior coeficiente de determinação ajustado (R²aj.), valor de F e coeficientes de regressão significativos e a análise gráfica dos resíduos. O modelo apresentou melhor ajuste, com R²aj. de 0,896 e Syx por cento de 3,941 por cento para o P. caribaea var. hondurensis e R²aj. de 0,973 e Syx por cento de 6,319 por cento para o P. tecunumanii.

The commercial plantings of Pinus were established in Brazil for over 30 years, initially in the South and Southeast. However, with the introduction of tropical species, became feasible in the whole country. Considering the importance of obtaining parameters to assess growth and the potential production of Pinus, the present work aims to adjust traditional models of hypsometric relation to species Pinus caribaea Morrelet var. hondurensis Barret & Golfari and Pinus tecunumanii Eguiluz & Perry, in pure stand, in the municipality of Vilhena, Rondônia State. Ten models were adjusted and the selection criteria followed the lower standard error of estimate (Syx percent), higher adjusted coefficient of determination (R²aj.), F value and regression coefficients significant and graphical analysis of the residues. The model showed the better fit, with R²aj. of 0,896 and Syx percent of 3,941 percent for P. caribaea var. hondurensis and R²aj. of 0,973 and Syx percent of 6,319 percent for P. tecunumanii.