Banca de DEFESA: DANIEL HENRIQUE DOS SANTOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : DANIEL HENRIQUE DOS SANTOS
DATA : 26/03/2024
HORA: 07:30
LOCAL: Google Meet (videoconferência)
TÍTULO:

Environmental and climatic interconnections: impacts of forest fires in the Mato Grosso Amazon

PALAVRAS-CHAVES:

Forest Fires, Remote Sensing, Environmental Damages

PÁGINAS: 62
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Geociências
SUBÁREA: Geofísica
ESPECIALIDADE: Sensoriamento Remoto
RESUMO:

xi

Forest fires generate environmental, socioeconomic, climate, air and water quality, economic, human health, sharp biodiversity decline, and high greenhouse gas emissions damages. This study utilized remote sensing to examine interactions between fire severity and other climatic variables, the behavior of variables by mesoregion, and the identification of trends and likely change points. The study area covered the Amazon biome in the state of Mato Grosso, measuring variables such as dNBR (Burned areas and Normalized Burn Ratio), precipitation, LST (Land Surface Temperature), SPI (Standardized Precipitation Index), NDVI (Normalized Difference Vegetation Index), and VCI (Vegetation Condition Index). Statistical tests used included Shapiro-Wilk, Tukey, regression kriging, Mann-Kendall for trend analysis, Pettitt for identifying probable change points, and finally, a canonical variable test. The data followed a normal distribution, with only LST showing a mean differentiation, particularly in the Northeast mesoregion as the group with the greatest temperature impact. Regarding trends, only LST showed a significant trend, with a probable change point identified in 2009, indicating the beginning of the trend. dNBR had positive correlations with NDVI and VCI and negative correlations with precipitation and SPI. Canonical analysis revealed that the northern mesoregion had a positive influence on dNBR and NDVI and a negative influence on precipitation, SPI, and VCI, while the southwestern mesoregion had a positive influence on dNBR and LST and a negative influence on precipitation, SPI, and VCI. Finally, the Northeast and Central-South mesoregions had positive influences on precipitation, SPI, VCI, and LST, and negative influences on dNBR and NDVI. dNBR had a negative correlation with precipitation and SPI, consistent with the literature, suggesting that for the Amazon vegetation, lower local humidity increases fire susceptibility and severity. LST had a correlation only with NDVI, indicating that local temperature can interfere with large-scale vegetation functionalities, posing a major global environmental concern. Canonical analysis showed that the northern mesoregion was most affected by the variables, excluding LST, being the region closest to the central Amazon Forest, where dNBR impact was most pronounced. This region exhibited greater sensitivity due to the agricultural frontier presence, containing higher fire frequency and impact.

MEMBROS DA BANCA:
Presidente - 265126001 - CARLOS ANTONIO DA SILVA JUNIOR
Interno - 131948001 - MENDELSON GUERREIRO DE LIMA
Externo à Instituição - LARISSA PEREIRA RIBEIRO TEODORO - UFMS