Tese

Estimativas de biomassa, do índice de área foliar e aplicação do sensoriamento remoto no monitoramento no estudo da cobertura vegetal em áreas de florestas ombrófila aberta e densa na Amazônia

The Amazon, the largest and most diverse of the tropical forest wilderness areas, shelter 33% of the world's tropical forests. However, the scenario of deforestation and degradation of the Amazon forest has been the subject of worldwide interest, primarily due to the growing contribution of defor...

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Autor principal: Carreire, Mabiane Batista França
Grau: Tese
Idioma: por
Publicado em: Instituto Nacional de Pesquisas da Amazônia – INPA 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/4977
http://lattes.cnpq.br/4643194622880397
Resumo:
The Amazon, the largest and most diverse of the tropical forest wilderness areas, shelter 33% of the world's tropical forests. However, the scenario of deforestation and degradation of the Amazon forest has been the subject of worldwide interest, primarily due to the growing contribution of deforestation to global warming. This study was conducted at the Caiabi Farm in Alta Floresta (north of Mato Grosso State) and in the Tropical Forestry Experimental Station (EEST/INPA) in Manaus (Central Amazonia). In this research, the main objectives were the study of the vegetation structure, the stock of dry biomass, the leaf area index (LAI) and the spectral behaviour of the open and dense ombrophilous forests. The field inventory was carried out on 3 samples of primary forest, 9 samples of experimental developed forest with different clear cutting levels and 7 samples of forest in regeneration (5, 8, 11, 23 and 30 years old), which have been cut down and burned, without subsequent use. In each sample of 1 ha, divided into 9 subsamples 20 by 20 m, we have measured and identified, by the vernacular name, all the individuals with DBH ≥ 5 cm (in secondary forests), and with a DBH ≥ 10 cm (in primary and managed forests). In sub-samples, hemispherical photographs were taken at 10 m-intervals to estimate LAI. The floristic analysis showed that the vegetation of Alta Floresta is less diverse than the vegetation of Manaus. The stock of biomass and carbon increases as the successional stage advances. In the managed forest, biomass values were close to those of primary forest, indicating that these exploited areas recovered the original stock of biomass, 19 years after the selective exploitation. In developed forests, statistical analyses of LAI from Alta Floresta and Manaus areas, suggest also highly significant differences (p < 0.01) between the various succession stages. However, in developed forest, statistical analyses of LAI do not present significant differences between treatments after 19 years. Image processing showed us that the SAVI values made it possible to observe variations among the succession stages. The secondary forests dominated by Cecropia showed the greatest vegetation indices. Statistical analyses of the temporal series of the developed areas suggested that the NVDI, SAVI values and the images fractions- vegetation and fraction-shade change with time. However, the interactions of treatment*NDVI, treatment*SAVI, treatment*fractions vegetation and treatment*fractions shade do not vary significantly over time.