Geotechnology Applied to Analysis of Vegetation Dynamics and Occurrence of Forest Fires on Indigenous Lands in Cerrado-Amazonia Ecotone

Felipe Gimenes Rodrigues Silva, Alexandre Rosa dos Santos, Nilton Cesar Fiedler, Juarez Benigno Paes, Rodrigo Sobreira Alexandre, Plinio Antonio Guerra Filho, Rosane Gomes da Silva, Marks Melo Moura, Evandro Ferreira da Silva, Samuel Ferreira da Silva, Saira G. de Oliveira Santos Rodrigues Silva, Raphael Maia Aveiro Cessa, Washington Amaral Ferreira and Fabio Gonçalves Marinho
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Felipe Gimenes Rodrigues Silva: Federal Institute of Mato Grosso/IFMT, Confresa Campus, Confresa 78652-000, Brazil
Alexandre Rosa dos Santos: Rural Engineering Department, Alegre Campus, Federal University of Espírito Santo/UFES, Alegre 29500-000, Brazil
Nilton Cesar Fiedler: Forestry and Wood Sciences Department, Alegre Campus, Federal University of Espírito Santo/UFES, Jerônimo Monteiro 29550-000, Brazil
Juarez Benigno Paes: Forestry and Wood Sciences Department, Alegre Campus, Federal University of Espírito Santo/UFES, Jerônimo Monteiro 29550-000, Brazil
Rodrigo Sobreira Alexandre: Forestry and Wood Sciences Department, Alegre Campus, Federal University of Espírito Santo/UFES, Jerônimo Monteiro 29550-000, Brazil
Plinio Antonio Guerra Filho: Agricultural Engineering Department, Agricultural and Environmental Sciences Center, Federal University of Maranhão/UFMA, Chapadinha 65500-000, Brazil
Rosane Gomes da Silva: Federal Institute North of Minas Gerais/IFNMG, Araçuí Campus, Araçuí 39600-000, Brazil
Marks Melo Moura: Forestry and Wood Sciences Department, Alegre Campus, Federal University of Espírito Santo/UFES, Jerônimo Monteiro 29550-000, Brazil
Evandro Ferreira da Silva: Altamira Campus, Federal University of Pará/UFPA, Altamira 68372-040, Brazil
Samuel Ferreira da Silva: Forestry and Wood Sciences Department, Alegre Campus, Federal University of Espírito Santo/UFES, Jerônimo Monteiro 29550-000, Brazil
Saira G. de Oliveira Santos Rodrigues Silva: State School Teacher Juracy Macedo, State Secretariat of Education of the State of Mato Grosso/SEDUC, Poxoréu 78800-000, Brazil
Raphael Maia Aveiro Cessa: Federal Institute of Brasília/IFB, Planaltina Campus, Planaltina 73380-900, Brazil
Washington Amaral Ferreira: Federal Institute of Mato Grosso/IFMT, Confresa Campus, Confresa 78652-000, Brazil
Fabio Gonçalves Marinho: Federal Institute of Mato Grosso/IFMT, Confresa Campus, Confresa 78652-000, Brazil

Sustainability, 2022, vol. 14, issue 11, 1-23

Abstract: The Cerrado-Amazonia Ecotone is one of the largest ecosystems in Brazil and is internationally considered a biodiversity hotspot. The occurrence of fires is common in these areas, directly affecting biomass losses and the reduction of vegetative vigor of forest typologies. Information obtained through remote sensing and geoprocessing can assist in the evaluation of vegetation behavior and its relation to the occurrence of forest fires. In this context, the objective of the present study was to analyze temporal vegetation dynamics, as well as their relationship with rainfall and fire occurrence on Indigenous lands, located in the Cerrado-Amazonia Ecotone of Mato Grosso state, Brazil. Normalized Difference Vegetation Index (NDVI) images of the MOD13Q1 MODIS product and burnt area of the MCD45A1 MODIS product, and rainfall images from the Tropical Rainfall Measuring Mission (TRMM) sensor were used. The period analyzed was from 2007 to 2016. After pre-processing the NDVI, TRMM and burnt area images, correlation analyses were performed between the rainfall, vegetation index and burnt area images, considering different lags (−3 to 3), to obtain the best response time for the variables. The analyses of inter-annual vegetation index trends were carried out following Mann–Kendall monotonic trend and seasonal trend analysis methodologies. Significant correlations were observed between NDVI and rainfall (R = 0.84), in grass regions and between NDVI and burnt area (R = −0.74). The Mann–Kendall monotonic trend indicates vegetation index stability with positive variations in grass regions. The analysis of seasonal trends identified different vegetation responses, with this biome presenting a diverse phytophysiognomy and seasonal vegetation with different phases for amplitudes. This variation is evidenced by the various phytophysiognomies and their responses in relation to biomass gains and losses. The correlation and regression of the NDVI and rainfall in the vegetation type of grass areas show that the burnt area tends to increase with the reduction of NDVI. Finally, no defined pattern of vegetation cycles or phases was observed in terms of seasonality and the proposed methodology can be adapted to other world biomes.

Keywords: remote sensing; rainfall; vegetation index; environmental preservation; MODIS; NDVI (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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