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Analysis of the floristic and phytosociologic composition of Tapajós National Forest with geographic support of satellite images.

Research output: Contribution to journalJournal articlepeer-review

<mark>Journal publication date</mark>2005
<mark>Journal</mark>Acta Amazonica
Issue number2
Pages (from-to)167-185 (in Portuguese)
Publication StatusPublished
<mark>Original language</mark>English


The objective of this work was to analyze the distribution of the vegetation cover of several portions of the Tapajos National Forest (TNF) in the State of Pará, through phytosociologic and floristic attributes supported by satellite images in primary (PF) and secondary (SF) forest areas. For this it was sampled 35 transects of 10 m ´ 250 m in PF areas of high and low plateau, including areas disturber by activities selective logging areas and 29 transects of 10 m ´ 100 m in SF areas in several regrowth stages. In each activities of these transects it was surveyed dendrometric information such as DBH (Diameter of Breast Height), total height (TH), and commercial height (CH), besides the location of the individual trees within the samples. The diameters considered for primary and secondary forest areas were 10 cm and 3 cm, respectively. It was inventoried 7666 individuals (6607 dicot trees or shrubs and 1059 palm trees) in a 11.65 ha total sample area distributed over different regions of the TNF. 190 species of trees, shrubs, and palm trees distributed among 153 genera and 46 families were identified in the primary and secondary forest areas. In the PF and SF areas, it was found a diversity index of Shannon-Wiener (H’) of 4.44 and 4.09 nits.indivíduos-1, respectively, indicating a high biological diversity for these two forest types. Using multivariate analysis, it was possible to conclude that exist a structural and floristic difference in the North, Central and South portion of the National Forest. The SF areas presented a large environmental heterogeneity, making difficult to perform the clustering process of their succession stages. Through this work, it was possible to conclude that the support of ETM+/Landsat and RADARSAT-1 images optimized the sampling process of TNF, end allowed to perform the spatial analysis of the regions with higher phytosociologic and floristic differentiation of the National Forest.