20 research outputs found

    Ecological research in the Large-scale Biosphere-Atmosphere Experiment in Amazonia: Early results

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    Copyright by the Ecological Society of America ©2004 Michael Keller, Ane Alencar, Gregory P. Asner, Bobby Braswell, Mercedes Bustamante, Eric Davidson, Ted Feldpausch, Erick Fernandes, Michael Goulden, Pavel Kabat, Bart Kruijt, Flavio Luizão, Scott Miller, Daniel Markewitz, Antonio D. Nobre, Carlos A. Nobre, Nicolau Priante Filho, Humberto da Rocha, Pedro Silva Dias, Celso von Randow, and George L. Vourlitis 2004. ECOLOGICAL RESEARCH IN THE LARGE-SCALE BIOSPHERE– ATMOSPHERE EXPERIMENT IN AMAZONIA: EARLY RESULTS. Ecological Applications 14:3–16. http://dx.doi.org/10.1890/03-6003The Large-scale Biosphere–Atmosphere Experiment in Amazonia (LBA) is a multinational, interdisciplinary research program led by Brazil. Ecological studies in LBA focus on how tropical forest conversion, regrowth, and selective logging influence carbon storage, nutrient dynamics, trace gas fluxes, and the prospect for sustainable land use in the Amazon region. Early results from ecological studies within LBA emphasize the variability within the vast Amazon region and the profound effects that land-use and land-cover changes are having on that landscape. The predominant land cover of the Amazon region is evergreen forest; nonetheless, LBA studies have observed strong seasonal patterns in gross primary production, ecosystem respiration, and net ecosystem exchange, as well as phenology and tree growth. The seasonal patterns vary spatially and interannually and evidence suggests that these patterns are driven not only by variations in weather but also by innate biological rhythms of the forest species. Rapid rates of deforestation have marked the forests of the Amazon region over the past three decades. Evidence from ground-based surveys and remote sensing show that substantial areas of forest are being degraded by logging activities and through the collapse of forest edges. Because forest edges and logged forests are susceptible to fire, positive feedback cycles of forest degradation may be initiated by land-use-change events. LBA studies indicate that cleared lands in the Amazon, once released from cultivation or pasture usage, regenerate biomass rapidly. However, the pace of biomass accumulation is dependent upon past land use and the depletion of nutrients by unsustainable land-management practices. The challenge for ongoing research within LBA is to integrate the recognition of diverse patterns and processes into general models for prediction of regional ecosystem function

    Regional and large-scale patterns in Amazon forest structure and function are mediated by variations in soil physical and chemical properties

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    Forest structure and dynamics have been noted to vary across the Amazon Basin in an east-west gradient in a pattern which coincides with variations in soil fertility and geology. This has resulted in the hypothesis that soil fertility may play an important role in explaining Basin-wide variations in forest biomass, growth and stem turnover rates. To test this hypothesis and assess the importance of edaphic properties in affect forest structure and dynamics, soil and plant samples were collected in a total of 59 different forest plots across the Amazon Basin. Samples were analysed for exchangeable cations, C, N, pH with various Pfractions also determined. Physical properties were also examined and an index of soil physical quality developed. Overall, forest structure and dynamics were found to be strongly and quantitatively related to edaphic conditions. Tree turnover rates emerged to be mostly influenced by soil physical properties whereas forest growth rates were mainly related to a measure of available soil phosphorus, although also dependent on rainfall amount and distribution. On the other hand, large scale variations in forest biomass could not be explained by any of the edaphic properties measured, nor by variation in climate. A new hypothesis of self-maintaining forest dynamic feedback mechanisms initiated by edaphic conditions is proposed. It is further suggested that this is a major factor determining forest disturbance levels, species composition and forest productivity on a Basin wide scale

    Branch xylem density variations across Amazonia

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    International audienceMeasurements of branch xylem density, Dx, were made for 1466 trees representing 503 species, sampled from 80 sites across the Amazon basin. Measured values ranged from 240 kg m?3 for a Brosimum parinarioides from Tapajos in West Pará, Brazil to 1130 kg m?3 for an Aiouea sp. from Caxiuana, Central Pará, Brazil. Analysis of variance showed significant differences in average Dx across the sample plots as well as significant differences between families, genera and species. A partitioning of the total variance in the dataset showed that geographic location and plot accounted for 33% of the variation with species identity accounting for an additional 27%; the remaining "residual" 40% of the variance accounted for by tree to tree (within species) variation. Variations in plot means, were, however, hardly accountable at all by differences in species composition. Rather, it would seem that variations of xylem density at plot level must be explained by the effects of soils and/or climate. This conclusion is supported by the observation that the xylem density of the more widely distributed species varied systematically from plot to plot. Thus, as well as having a genetic component branch xylem density is a plastic trait that, for any given species, varies according to where the tree is growing and in a predictable manner. Exceptions to this general rule may be some pioneers belonging to Pourouma and Miconia and some species within the genera Brosimum, Rinorea and Trichillia which seem to be more constrained in terms of this plasticity than most species sampled as part of this study

    Basin-wide variations in Amazon forest structure and function are mediated by both soils and climate

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    Forest structure and dynamics vary across the Amazon Basin in an east-west gradient coincident with variations in soil fertility and geology. This has resulted in the hypothesis that soil fertility may play an important role in explaining Basin-wide variations in forest biomass, growth and stem turnover rates. Soil samples were collected in a total of 59 different forest plots across the Amazon Basin and analysed for exchangeable cations, carbon, nitrogen and pH, with several phosphorus fractions of likely different plant availability also quantified. Physical properties were additionally examined and an index of soil physical quality developed. Bivariate relationships of soil and climatic properties with above-ground wood productivity, stand-level tree turnover rates, above-ground wood biomass and wood density were first examined with multivariate regression models then applied. Both forms of analysis were undertaken with and without considerations regarding the underlying spatial structure of the dataset. Despite the presence of autocorrelated spatial structures complicating many analyses, forest structure and dynamics were found to be strongly and quantitatively related to edaphic as well as climatic conditions. Basin-wide differences in stand-level turnover rates are mostly influenced by soil physical properties with variations in rates of coarse wood production mostly related to soil phosphorus status. Total soil P was a better predictor of wood production rates than any of the fractionated organic- or inorganic-P pools. This suggests that it is not only the immediately available P forms, but probably the entire soil phosphorus pool that is interacting with forest growth on longer timescales. A role for soil potassium in modulating Amazon forest dynamics through its effects on stand-level wood density was also detected. Taking this into account, otherwise enigmatic variations in stand-level biomass across the Basin were then accounted for through the interacting effects of soil physical and chemical properties with climate. A hypothesis of self-maintaining forest dynamic feedback mechanisms initiated by edaphic conditions is proposed. It is further suggested that this is a major factor determining endogenous disturbance levels, species composition, and forest productivity across the Amazon Basin. © 2012 Author(s). CC Attribution 3.0 License

    Diagnóstico do setor de armazenamento no Estado de Mato Grosso.

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    bitstream/item/145243/1/1986SP003-Campanhola-Diagnostico-1531.pd

    Gráfico psicrométrico com curvas de equilíbrio higroscópico de grãos.

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    O objetivo do presente trabalho e fornecer uma apresentação gráfica do uso pratico do equilíbrio higroscópico baseado na teoria do potencial da água. A metodologia de calculo baseou-se no modelo simplificado de equilíbrio higroscópico descrito por CAMPELO JUNIOR (2). As curvas correspondentes a diversas umidades de arroz, milho, soja, assim como de potenciais escolhidos arbitrariamente foram locadas em gráficos psicrométricos. Uma das informações praticas obtidas a partir dos gráficos e a determinação do aumento de temperatura para secagem de grãos em silos ou barcaças a baixas temperaturas. Verificou-se que as umidades indicadas para armazenagem de arroz, milho, e soja correspondem ao potencial de - 127 atm.bitstream/item/145640/1/1986FL001-Campanhola-Grafico-581.pd

    Basin-wide variations in Amazon forest structure and function are mediated by both soils and climate

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    Forest structure and dynamics vary across the Amazon Basin in an east-west gradient coincident with variations in soil fertility and geology. This has resulted in the hypothesis that soil fertility may play an important role in explaining Basin-wide variations in forest biomass, growth and stem turnover rates. Soil samples were collected in a total of 59 different forest plots across the Amazon Basin and analysed for exchangeable cations, carbon, nitrogen and pH, with several phosphorus fractions of likely different plant availability also quantified. Physical properties were additionally examined and an index of soil physical quality developed. Bivariate relationships of soil and climatic properties with above-ground wood productivity, stand-level tree turnover rates, above-ground wood biomass and wood density were first examined with multivariate regression models then applied. Both forms of analysis were undertaken with and without considerations regarding the underlying spatial structure of the dataset. Despite the presence of autocorrelated spatial structures complicating many analyses, forest structure and dynamics were found to be strongly and quantitatively related to edaphic as well as climatic conditions. Basin-wide differences in stand-level turnover rates are mostly influenced by soil physical properties with variations in rates of coarse wood production mostly related to soil phosphorus status. Total soil P was a better predictor of wood production rates than any of the fractionated organic- or inorganic-P pools. This suggests that it is not only the immediately available P forms, but probably the entire soil phosphorus pool that is interacting with forest growth on longer timescales. A role for soil potassium in modulating Amazon forest dynamics through its effects on stand-level wood density was also detected. Taking this into account, otherwise enigmatic variations in stand-level biomass across the Basin were then accounted for through the interacting effects of soil physical and chemical properties with climate. A hypothesis of self-maintaining forest dynamic feedback mechanisms initiated by edaphic conditions is proposed. It is further suggested that this is a major factor determining endogenous disturbance levels, species composition, and forest productivity across the Amazon Basin

    Estimativa do balanço de energia em cambarazal e pastagem no norte do Pantanal pelo método da razão de Bowen Estimate of energy balance in cambarazaland pasture in the north of Pantanal by Bowen ratio method

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    O estudo do balanço de energia de uma superfície vegetada e a atmosfera é importante para caracterizar o microclima local, identificar interações entre variáveis ambientais e a vegetação, e identificar efeitos das atividades antropogênicas. O objetivo deste trabalho foi estimar a variação sazonal do balanço de energia pelo método da razão de Bowen em uma área de vegetação monodominante de Cambará na RPPN SESC-Pantanal e uma área de pastagem na Fazenda Experimental da UFMT. Os componentes do balanço de energia apresentaram sazonalidade, com maiores médias na estação chuvosa nas duas áreas de estudo. No cambarazal houve maior variação do fluxo de calor latente da estação seca para a chuvosa que na pastagem. Entretanto, a variação sazonal do fluxo de calor sensível foi menor no cambarazal que na pastagem, devido ao efeito termo-regulador do cambarazal, em função da maior biomassa. A energia disponível aos dois sítios foi destinada prioritariamente em fluxo de calor latente, 80,0% no cambarazal e 56,6% na pastagem, seguido pelo fluxo de calor sensível, 19,1 e 42,9%, e pelo fluxo de calor no solo, 0,3 e 7,2%.<br>The energy balance study of a vegetated surface and atmosphere is important to characterize the local microclimate, identify interactions among environmental variables and the vegetation and to identify anthropogenic activities effects. The objective of this work was estimate the seasonality of energy balance by Bowen ratio method in a monodominant vegetation of Cambará area in the RPPN SESC-Pantanal and a pasture area in UFMT's Experimental Farm. The energy balance components presented seasonality, with larger averages at the rainy station in two areas of study. In the cambarazal was a higher variation of the latent heat flux of the dry season for the rainy season that in the pasture. However, the seasonal variation of the sensible heat flux in the cambarazal was lower than in the pasture, due to the thermo-regulatory effect in the cambarazal, according to the largest biomass. The available energy at two ranches was partitioned priority in latent heat flux, 80,0% in the cambarazal and 56,6% in the pasture, followed by the sensible heat flux, 19,1 and 42,9%, and by the soil heat flux, 0,3 and 7,2%
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