Robinson I. Negrón Juárez

Large seasonal swings in leaf area of Amazon rainforests

Despite early speculation to the contrary, all tropical forests studied to date display seasonal variations in the presence of new leaves, flowers, and fruits. Past studies were focused on the timing of phenological events and their cues but not on the accompanying changes in leaf area that regulate vegetation–atmosphere exchanges of energy, momentum, and mass. Here we report, from analysis of 5 years of recent satellite data, seasonal swings in green leaf area of ≈25% in a majority of the Amazon rainforests. This seasonal cycle is timed to the seasonality of solar radiation in a manner that is suggestive of anticipatory and opportunistic patterns of net leaf flushing during the early to mid part of the light-rich dry season and net leaf abscission during the cloudy wet season. These seasonal swings in leaf area may be critical to initiation of the transition from dry to wet season, seasonal carbon balance between photosynthetic gains and respiratory losses, and litterfall nutrient cycling in moist tropical forests.

Observed change of the standardized precipitation index, its potential cause and implications to future climate change in the Amazon region

Observations show that the standard precipitation index (SPI) over the southern Amazon region decreased in the period of 1970–1999 by 0.32 per decade, indicating an increase in dry conditions. Simulations of constant pre-industrial climate with recent climate models indicate a low probability (p=0%) that the trends are due to internal climate variability. When the 23 models are forced with either anthropogenic factors or both anthropogenic and external natural factors, approximately 13% of sampled 30-year SPI trends from the models are found to be within the range of the observed SPI trend at 95% confidence level. This suggests a possibility of anthropogenic and external forcing of climate change in the southern Amazon. On average, the models project no changes in the frequency of occurrence of low SPI values in the future; however, those models which produce more realistic SPI climatology, variability and trend over the period 1970–1999 show more of a tendency towards more negative values of SPI in the future. The analysis presented here suggests a potential anthropogenic influence on Amazon drying, which warrants future, more in-depth, study.

Control of Dry Season Evapotranspiration over the Amazonian Forest as Inferred from Observations at a Southern Amazon Forest Site

The extent to which soil water storage can support an average dry season evapotranspiration (ET) is investigated using observations from the Rebio Jaru site for the period of 2000 to 2002. During the dry season, when total rainfall is less than 100 mm, the soil moisture storage available to root uptake in the top 3-m layer is sufficient to maintain the ET rate, which is equal to or higher than that in the wet season. With a normal or less-than-normal dry season rainfall, more than 75% of the ET is supplied by soil water below 1 m, whereas during a rainier dry season, about 50% of ET is provided by soil water from below 1 m. Soil moisture below 1-m depth is recharged by rainfall during the previous wet season: dry season rainfall rarely infiltrates to this depth. These results suggest that, even near the southern edge of the Amazon forest, seasonal and moderate interannual rainfall deficits can be mitigated by an increase in root uptake from deeper soil. How dry season ET varies geographically within the Amazon and what might control its geographic distribution are examined by comparing in situ observations from 10 sites from different areas of Amazonia reported during the last two decades. Results show that the average dry season ET varies less than 1 mm day 1 or 30% from the driest to nearly the wettest parts of Amazonia and is largely correlated with the change of surface net radiation of 25% and 30%. Thus the geographic variation of the average dry season ET appears to be mainly determined by the surface radiation.

A regional climate model study of how biomass burning aerosol impacts land-atmosphere interactions over the Amazon

[1] Ensemble simulations of a regional climate model assuming smoke aerosol in the Amazon suggest that dynamic changes of cloud cover contributes to the radiative effect of the smoke on the diurnal cycles of surface fluxes and the depth and structure of planetary boundary layer (PBL). In addition to their local effects, the aerosol radiative forcing also appears to weaken or delay the circulation transition from dry to wet season, leading to a weaker moisture transport into the smoke area where the aerosols optical depth, AOD, exceeds 0.3 and a stronger moisture transport and increase of cloudiness in the region upwind to the smoke area. The land surface scheme is modified to improve the regional climate model simulation of the daily mean and diurnal cycle of the surface sensible and latent heat fluxes over the Amazon rain forest. The aerosol radiative forcing is applied to the model during a dry to wet transition season (August–October) in that region. Cloudiness decreases in early afternoon due to the absorption of solar radiation by smoke aerosols partially compensate for the reduction of surface solar flux by aerosol scattering, shifting the strongest changes of surface flux and the PBL to late morning. The reduction of net solar radiation at the surface by smoke is locally largely compensated by reduction of surface sensible flux, with reduction of latent flux only about 30% as large. The strong aerosol absorption in the top 1 km of the aerosol layer stabilizes the 2 to 3 km layer immediately above the daytime PBL and consequently cloudiness decreases. This reduced surface solar flux and more stable lapse rate at the top of the PBL stabilize the lower troposphere. These changes lead to anomalous wind divergence in the southern Amazon and anomalous wind convergence over the equatorial western Amazon in the upwind direction of the smoke area.

Measurements of CO2 exchange over a woodland savanna (Cerrado Sensu stricto) in southeast Brasil

A tecnica de correlacao dos vortices turbulentos (eddy correlation) foi utilizada para se estimar a produtividade liquida do ecossistema (PLE) em uma area de Cerrado Sensu stricto, no sitio experimental da Gleba Pe de Gigante, no sudeste do Brasil. O conjunto de dados coletados incluiu tambem medidas de variaveis climatologicas e de respiracao do solo com câmaras estaticas, no periodo de 10 de Outubro de 1999 a 30 de Marco de 2002. A respiracao do solo media anual foi de 4.8 molCO2m-2s-1, com diferencas sazonais que variaram entre 2 a 8 molCO2 m-2s-1 durante a estacao seca (Abril a Agosto) e na estacao chuvosa, respectivamente, por um padrao de sensivel correlacao com a temperatura (Q10=4.9) e umidade do solo. Com base nos fluxos atmosfericos de CO2, a PLE mostrou uma variabilidade no ciclo diurno grandemente controlada pela radiacao solar, umidade e temperatura do ar. Na escala sazonal, a umidade do solo foi uma variavel de alta correlacao com a PLE, que aparentemente induziu a queda de folhedo, reducao da atividade fotossintetica e da respiracao do solo. O sinal da PLE foi negativo (sumidouro) na estacao chuvosa e no inicio da estacao seca, com taxas de -25 kgCha-1dia-1, e maximos de ate 40 kgCha-1dia-1. Na estacao seca o sinal foi positivo (emissao), o que foi revertido logo no inicio das chuvas. No fim da estacao seca, em dias de grande estresse hidrico, ainda observou-se a resposta da fotossintese na escala do ecossistema, mesmo tendo sido positiva a PLE. Paralelamente ao decorrer da estacao seca, a PLE progressivamente aumentou de 5 ate 50 kgCha-1dia-1. A soma annual da PLE mostrou-se aproximadamente balanceada, tendo sido no entanto, sob um vies de maior precisao, um pequeno mas significativo sumidouro de 0.1 0.3 tCha-1ano-1. Consideramos a hipotese de um pequeno sumidouro como possivelmente realista, dadas as restringentes correcoes impostas no calculo dos fluxos turbulentos, e algumas hipoteses favoraveis de sucessao de estagios do Cerrado, fertilizacao de CO2 atmosferico e variabilidade climatica.

Comparison of Precipitation Datasets over the Tropical South American and African Continents

Six rainfall datasets are compared over the Amazon basin, Northeast Brazil, and the Congo basin. These datasets include three gauge-only precipitation products from the Climate Prediction Center (CPC), Global Precipitation Climatology Center (GPCC), and Brazilian Weather Forecast and Climate Studies Center (CLMNLS), and three combined gauge and satellite precipitation datasets from the CPC Merged Analysis of Precipitation (CMAP), Global Precipitation Climatology Project (GPCP), and Tropical Rainfall Measuring Mission (TRMM) product. The pattern of the annual precipitation is consistently represented by these data, despite the differences in methods and periods of averaging. Quantitatively, the differences in annual precipitation among these datasets are 5% more than the Amazon domain (08–158S, 508–708W), 22% more than Northeast Brazil (58–108S, 358–458W), and 11% more than the Congo domain (58N–108S, 158–308E). Over the Amazon domain the rainfall variation is well correlated between CPC, TRMM, GPCP, and GPCC (r 2 . 0.9) except for the northwestern Amazon, whereas CMAP and CLMNLS were different from these four datasets. Over the Congo basin, the coefficient of determination between these rainfall datasets is generally below 0.7. The empirical orthogonal functions analysis suggests large discrepancies in interannual and decadal variations of rainfall among these datasets, especially for the Congo basin and for the South American region after 1998. In general, CMAP, GPCC, TRMM, and GPCP significantly agree over the tropical areas in South America.

A Practical Method for Retrieving Land Surface Temperature From AMSR-E Over the Amazon Forest

Remote sensing of land surface temperature (LST) using infrared (IR) sensors, such as the Moderate Resolution Imaging Spectroradiometer (MODIS), is only capable of retrieval under clear-sky conditions. Such LST observations over tropical forests are very limited due to clouds and rainfall, particularly during the wet season and high atmospheric water-vapor content. In comparison, low-frequency microwave radiances are minimally influenced by meteorological conditions. Exploring this advantage, we have developed an algorithm to retrieve LST over the Amazonian forest. The algorithm uses multifrequency polarized microwave brightness temperatures from the Advanced Microwave Scanning Radiometer on NASAs Earth Observing System (AMSR-E). Relationships between polarization ratio and surface emissivity are established for forested and nonforested areas, such that LST can solely be calculated from microwave radiance. Results are presented over three time scales: at each orbit, daily, and monthly. Results are evaluated by comparing with available air-temperature records on daily and monthly intervals. Our findings indicate that the AMSR-E-derived LST agrees well with in situ measurements. Results during the wet season over the tropical forest suggest that the AMSR-E LST is robust under all-weather conditions and shows higher correlation to meteorological data (r = 0.70) than the IR-based LST approaches (r = 0.42).