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ArticleAssessing land use and cover change, forest degradation and secondary forest databases for better understand of airborne CO2 measurements over the Brazilian Amazon
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Tropical forests are essential for ecosystem services provision and for climate change mitigation. Amazon forest, the largest continue tropical forests in the world, have been decreasing due to deforestation and forest degradation. Brazil, a country containing most of the Amazon forests, also presents the highest deforestation rates within the Pan-Amazonian countries. The CARBAM project has been collecting bimonthly CO2 atmospheric measurements from an airplane since 2010 in the Brazilian Amazon, showing that there is a reduction on the forest capacity to absorb carbon for deforestation and climate change patterns. To understand these CO2 fluxes, we need to analyze the land use and cover change processes including forest degradation and secondary forest growth. Our goal is to assess different databases to better understand deforestation, degradation and secondary forest dynamics in the Amazon. For this, we merged different databases for the period 2010-2018: MapBiomas for land use and cover change; PRODES for deforestation; Bullock et al. (2020) for degradation; and Silva et al. (2020) for secondary forest. We found that, from the total accumulated deforested area in 2018 (17% of the Brazilian Amazon), pasture represent 69% fallowed by secondary vegetation 21% and agriculture 8%. The annual deforested area, smaller than secondary vegetation area, is increasing since 2012. Degradation has a different area each year. The carbon uptake by secondary forest and degradation dynamics is underestimated in the national communications of greenhouse gases, and its mapping is extremely relevant to policy makers to accomplish the National Determined Contribution. The large pasture areas deserve attention because it may permit the secondary forest to increase and provide agriculture expansion areas, decreasing in this way the pressure for deforestation and degradation of primary forest and contributing to preserve biodiversity and ecosystem services of the Amazon forests. Keywords: Amazon forests, deforestation, degradation, secondary forests, CO2 emissions ID: 3623188 -
DocumentRelationship between forest fragmentation patterns and deforestation: the case of the Brazilian Amazon
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Deforestation in the Brazilian Amazon is the result of social, economic, and political pressures and its rates swing accordingly. Deforestation can lead to forest fragmentation, which may mask other negative impacts. Forest fragmentation classes resulting from a Morphological Spatial Pattern Analysis (MSPA) help to establish the spatial distribution of a fragmented landscape. However, the behavior of these classes and their association with deforestation has been little studied. To address this issue, we proposed the analyses of the diversity of fragmentation classes as an indicator of forest fragmentation trajectory over time. We used Shannon's diversity index and MSPA on land-use changes and vegetation cover data to identify the evolution of fragmented forest classes for the period 1985 - 2018. The diversity of the classes was obtained for each year using TraMineR. This value was compared with the cumulated deforestation rate from 1988 to 2018. A correlation analysis was carried out to establish the relationship between diversity of fragmentation classes and deforestation. During the studied period, all but one class of fragmentation increased. Diversity increased over the years with a mean of 0.41 ± 0.07 (range 0.27 to 0.50), even during periods of reduced deforestation. The high correlation between cumulated deforestation and diversity (R^2 = 0.98), indicated the impact on the fragmentation patterns. Specific actions are needed to reduce forest fragmentation beyond those to curb Amazon deforestation. Keywords: Landscape management, Monitoring and data collection, Research ID: 3480574 -
Book (series)Case studies on measuring and assessing forest degradation: forest degradation in Nepal: review of data and methods 2009
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