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This research utilized tower-based eddy covariance to quantify the trends in net ecosystem mass (CO 2 and H 2 O vapor) and energy exchange of important land-cover types of NW Mato Grosso during the March-December 2002 seasonal transition. Measurements were made in a mature transitional (ecotonal) tropical forest near Sinop, Mato Grosso, and a cattle pasture near Cotriguaçú , Mato Grosso, located 500 km WNW of Sinop. Pasture net ecosystem CO 2 exchange (NEE) was considerably more variable than the forest NEE over the seasonal transition, and the pasture had significantly higher rates of maximum gross primary production in every season except the dry-wet season transition (September-October). The pasture also had significantly higher rates of whole-ecosystem dark respiration than the forest during the wetter times of the year. Average ( AE 95% CI) rates of total daily NEE during the March-December 2002 measurement period were 26 AE 15 mmol m À2 day À1 for the forest (positive values indicate net CO 2 loss by the ecosystem) and À38 AE 26 mmol m À2 day À1 for the pasture. While both ecosystems partitioned more net radiation (R n ) into latent heat flux (L e ), the forest had significantly higher rates of L e and lower rates of sensible heat flux (H) than the pasture; a trend that became more extreme during the onset of the dry season. Large differences in pasture and forest mass and energy exchange occurred even though seasonal variations in micrometeorology (air temperature, humidity, and radiation) were relatively similar for both ecosystems. While the short measurement period and lack of spatial replication limit the ability to generalize these results to pasture and forest regions of the Amazon Basin, these results suggest important differences in the magnitude and seasonal variation of NEE and energy partitioning for pasture and transitional tropical forest.

Leaf area index (LAI) is a key driver of forest productivity and evapotranspiration; however, it is a difficult and labor-intensive variable to measure, making its measurement impractical for large-scale and long-term studies of tropical forest structure and function. In contrast, satellite estimates of LAI have shown promise for large-scale and long-term studies, but their performance has been equivocal and the biases are not well known. We measured total, overstory, and understory LAI of an Amazon-savanna transitional forest (ASTF) over 3 years and a seasonal flooded forest (SFF) during 4 years using a light extinction method and two remote sensing methods (LAI MODIS product and the Landsat-METRIC method), with the objectives of (1) evaluating the performance of the remote sensing methods, and (2) understanding how total, overstory and understory LAI interact with micrometeorological variables. Total, overstory and understory LAI differed between both sites, with ASTF having higher LAI values than SFF, but neither site exhibited year-to-year variation in LAI despite large differences in meteorological variables. LAI values at the two sites have different patterns of correlation with micrometeorological variables. ASTF exhibited smaller seasonal variations in LAI than SFF. In contrast, SFF exhibited small changes in total LAI; however, dry season declines in overstory LAI were counteracted by understory increases in LAI. MODIS LAI correlated weakly to total LAI for SFF but not for ASTF, while METRIC LAI had no correlation to total LAI. However, MODIS LAI correlated strongly with overstory LAI for both sites, but had no correlation with understory LAI. Furthermore, LAI estimates based on canopy light extinction were correlated positively with seasonal variations in rainfall and soil water content and negatively with vapor pressure deficit and solar radiation; however, in some cases satellite-derived estimates of LAI exhibited no correlation with climate variables (METRIC LAI or MODIS LAI for ASTF). These data indicate that the satellite-derived estimates of LAI are insensitive to the understory variations in LAI that occur in many seasonal tropical forests and the micrometeorological variables that control seasonal variations in leaf phenology. While more ground-based measurements are needed to adequately quantify the performance of these satellite-based LAI products, our data indicate that their output must be interpreted with caution in seasonal tropical forests.

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RESUMOEm função de se analisar a produção, dinâmica e decomposição de serrapilheira em busca da sazonalidade do microclima em uma floresta tropical de transição Amazônia Cerrado, propõe-se estimar a produção de serrapilheira, por meio de caixas de coleta de 1 m 2 e o acúmulo de serrapilheira sobre o solo por meio de quadrantes de 25 x 25 cm, distribuídos aleatoriamente. Determinaram-se a constante de decaimento (K), o coeficiente de retorno de serrapilheira (K L ) e a constante de decomposição (K'). Com o emprego de bolsas de nylon preenchidas com folhas de espécies de relevância na floresta (Tovomita schomburgkki e Brosimium lactescens) estudou-se a decomposição de folhas e se monitaram os fatores ambientais por meio de equipamentos instalados em uma torre micrometeorológica. A produção de serrapilheira não só se apresentou de forma sazonal, com significativa influência da umidade relativa do ar e da precipitação, em uma floresta de transição, mas foi majoritariamente composta de folhas seguidas de galhos e miscelânea (flores e frutos). A decomposição de folhas em florestas tropicais foi acelerada em ambas as estações, seca-úmida e úmida-seca, sendo a velocidade de decomposição das folhas maior na estação úmida-seca.Palavras-chave: acúmulo de serrapilheira no solo, Amazônica, decomposição de folhas Seasonal dynamics of the litterfall production and decomposition in tropical transitional forest ABSTRACTThe objective of this study was to analyze the production, dynamics and litter decomposition as a function of the seasonality of the microclimate in a transitional tropical forest of Amazonia Cerrado. Estimate of litterfall was carried out with collection boxes of 1 m 2 and floor forest mass with quadrants of 25 x 25 cm distributed randomly. The decline constant (K), litter turnover rate (K L ) and litter decomposition rate (K') were determined by estimation of litterfall and forest floor litter mass. Leaf decomposition was studied by litter bags with leaves of species of relevance (Tovomita schomburgkki and Brosimium lactescens) in the forest. The analysis of the environmental factors was measured through micrometeorological equipments. The litterfall was seasonal in nature, with significant influence from relative air humidity and rainfall in a transitional forest. Litterfall was mainly composed of leaves, followed by twigs, and miscellany (flowers and fruits). The leaf decomposition in tropical forests was accelerated in seasons, dry-wet and wet-dry, being the leaf decomposition higher in the wet-dry season.

[1] This study analyzed how seasonal and interannual variations in climate alter litter dynamics, including production, decomposition, and accumulation. Monthly measurements of leaf, stem, and reproductive (flower plus fruit) litter and the forest floor litter mass were combined with a mass balance model to determine rates of litter decomposition for a semideciduous tropical forest located in the rain forest-savanna ecotone of the southern Amazon Basin for [2001][2002][2003][2004][2005][2006][2007]. Annual rates of litter production varied between 8 and 10.5 Mg ha À1 a À1 , and leaf litter production accounted for the majority ($70%) of the total litter production. Leaf litter production peaked at the end of the May-August dry season while stem litter production peaked during the wet season and reproductive litter production peaked during the dry-wet season transition. Forest floor litter mass ranged between 5 and 8 Mg ha À1 over the study period and generally declined as litter inputs declined. Litter decomposition rates were remarkably stable from year-toyear and varied between 10.8 and 12.4 Mg ha À1 a À1 . On average, rates of litter decomposition were highest during the dry-wet season transition. Overall, our results suggest that rainfall variability directly altered litter production dynamics and indirectly altered forest floor litter mass and decomposition kinetics through its effect on litter production. Future changes in seasonal and/or interannual rainfall patterns, whether in response to El Niño or to anthropogenic climate change, will likely have important consequences for the litter dynamics of Amazonian semideciduous forest.

The Pantanal is a biodiversity hotspot comprised of a mosaic of landforms that differ in vegetative assemblages and flooding dynamics. Tree islands provide refuge for terrestrial fauna during the flooding period and are particularly important to the regional ecosystem structure. Little soil CO2 research has been conducted in this region. We evaluated soil CO2 dynamics in relation to primary controlling environmental parameters (soil temperature and soil water). Soil respiration was computed using the gradient method using in situ infrared gas analyzers to directly measure CO2 concentration within the soil profile. Due to the cost of the sensors and associated equipment, this study was unreplicated. Rather, we focus on the temporal relationships between soil CO2 efflux and related environmental parameters. Soil CO2 efflux during the study averaged 3.53 µmol CO2 m−2 s−1, and was equivalent to an annual soil respiration of 1220 g C m−2 y−1. This efflux value, integrated over a year, is comparable to soil C stocks for 0–20 cm. Soil water potential was the measured parameter most strongly associated with soil CO2 concentrations, with high CO2 values observed only once soil water potential at the 10 cm depth approached zero. This relationship was exhibited across a spectrum of timescales and was found to be significant at a daily timescale across all seasons using conditional nonparametric spectral Granger causality analysis. Hydrology plays a significant role in controlling CO2 efflux from the tree island soil, with soil CO2 dynamics differing by wetting mechanism. During the wet-up period, direct precipitation infiltrates soil from above and results in pulses of CO2 efflux from soil. The annual flood arrives later, and saturates soil from below. While CO2 concentrations in soil grew very high under both wetting mechanisms, the change in soil CO2 efflux was only significant when soils were wet from above.

RESUMOO 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%. Palavras-chave: razão de Bowen; sazonalidade; floresta tropical; microclima. ABSTRACT: ESTIMATE OF ENERGY BALANCE IN CAMBARAZAL AND PASTURE IN THE NORTH OF PANTANAL BY BOWEN RATIO METHOD.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%.