No abstract

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.

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.

No abstract