Carlos Alexandre Santos Querino

Variação sazonal do fluxo de calor no solo dentro de um manguezal tropical

Mangrove swamps are highly important ecosystems due to their biodiversity, but they still are little studied. Soil heat fluxes (SHF) is one of the proprieties that interfere in the ecosystem microclimate and depends on lots of factors. An experimental study was carried out in a mangrove forest in the Marechal Deodoro city, in the State of Alagoas, from October/2004 to October/2005, with the aim of describing the SHF seasonal variation. To this end, an automatic weather station was assembled in a micrometeorological tower to register the data continuously. To measure SHF in 10 cm depth one battery with three (3) fluximeter model HFT3 (Campbell Scientific, EUA) was used so that the soil uniformity interference in the measurements was reduced. The obtained results showed influence of solar radiation, rainfall and tidal wave in the daily and seasonal SHF variation. A large SHF amplitude daily difference occurred between the wet (9 W m-2) and dry (36 W m-2) season.

Estimated net radiation in an Amazon–Cerrado transition forest by Landsat 5 TM

Abstract. The Amazon–Cerrado transition forest is an extensive region with unique characteristics of radiation exchanges. The measurements of the net radiation (Rn) in this ecosystem are limited to the local scale, and their spatial distribution can be carried out by remote sensing techniques, of which accuracy needs to be evaluated. Thus, the objective of this study was to analyze the accuracy of the model of surface Rn derived from measured solar radiation and estimates of normalized difference vegetation index (NDVI), surface albedo (α), and land surface temperature (LST) estimated by images of Landsat 5 TM in an Amazon–Cerrado transition forest. The Rn, NDVI, α, and LST were estimated by Landsat 5 TM images and related to micrometeorological measurements in a tower of the study area. There was seasonality of micrometeorological variables with higher values of incident solar radiation, air temperature, and vapor pressure deficit during the dry season. However, there was no seasonality of Rn. NDVI decreased and α increased during the dry season, while LST was nearly constant. The Rn had negative correlation with α and positive with NDVI. Both instantaneous and daily Rn estimated with Landsat 5 TM images showed high correlation and low error values when compared with Rn measured in the study area.