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@PhDThesis{Assis:2021:SpTePa,
               author = "Assis, Talita Oliveira",
                title = "Forest degradation in the Amazon: spatial temporal patterns, 
                         related factors, and CO2 emissions",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2021",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2020-09-04",
             keywords = "fire, logging, droughts, deforestation, modeling, fogo, 
                         explora{\c{c}}{\~a}o madeireira, secas, desmatamento, 
                         modelagem.",
             abstract = "In the last years, forest degradation in the Brazilian Legal 
                         Amazon has shown significant values, frequently higher than 
                         deforestation. From August 2006 to July 2018, the degraded area 
                         totaled 191,632 kmē, representing 2.4 times the 89,501 kmē 
                         deforested in the same period. The impacts of degradation include 
                         changes in the forest structure, carbon stocks, and biodiversity 
                         loss, affecting the CO2 balance and future climate changes. This 
                         thesis investigates the factors underlying the Spatio-temporal 
                         distribution of forest degradation in this region in recent years 
                         and how they impact CO2 balance in the region. Droughts and 
                         deforestation are some of the main factors linked to forest 
                         degradation. Then, we analyzed how the relationship between these 
                         factors and forest degradation evolved during this period by 
                         analyzing three indicators: water deficit anomaly indicator, 
                         historical clear cut deforestation indicator, and protected areas 
                         indicator. We also analyzed temporal trajectories of forest 
                         degradation from August 2006 to July 2016 in the Brazilian Amazon. 
                         We assessed their impact on the regional carbon balance, combining 
                         the degradation process with deforestation-related processes 
                         (clearcut deforestation and secondary vegetation dynamics), using 
                         the spatially-explicit INPEEM carbon emission model. Finally, we 
                         explored socio-economic and environmental factors that influence 
                         forest degradation spatial distribution and project scenarios of 
                         degradation and CO2 emissions for the Brazilian Amazon. Our 
                         results pointed out that 80% of the degradation events occur in 
                         areas classified as drought condition areas during the driest 
                         years. In contrast, forest degradation in these areas does not 
                         exceed 50% when considering the entire period. On the other hand, 
                         the relationship between degradation and historical deforestation 
                         were, on average, 67% during the whole period. Additionally, our 
                         results also show that, on average, 25% of the degradation 
                         occurred in Indigenous Territories and 9% in Conservation Units. 
                         The trajectory analysis showed that 13% of the degraded area ended 
                         up being cleared and converted in the period, and 61% of the total 
                         degraded area experienced only one event of degradation throughout 
                         the whole period. Net emissions added up to 5.4 Gt CO2, 
                         considering the emissions from forest degradation and 
                         deforestation, absorption from degraded forest recovery, and 
                         secondary vegetation dynamics. The results show an increase in 
                         forest degradation's contribution to net emissions towards the end 
                         of the period, related to the decrease in clear-cut deforestation 
                         rates, decoupled from the forest degradation rates. The 
                         spatially-explicit model allowed us to explore socio-economic and 
                         environmental factors that influence forest degradation spatial 
                         distribution and project future scenarios of degradation and CO2 
                         emissions to the Brazilian Amazon. We built sustainable and 
                         fragmentation land use scenarios and estimated their impacts on 
                         CO2 emission. At the end of the simulation, most of them presented 
                         a portion of up to 10% of forest degradation. However, in the 
                         sustainable scenario, it was still possible to observe intact 
                         forest regions, especially in eastern Amazonas. Our results also 
                         showed that while net CO2 emissions from 2019-2050 added up 0.74 
                         Gt CO2 in a sustainable scenario, in a fragmentation scenario, 
                         this value reached 22.63 Gt CO2. RESUMO: Nos {\'u}ltimos anos, a 
                         degrada{\c{c}}{\~a}o florestal na Amaz{\^o}nia Legal brasileira 
                         tem apresentado valores significativos, muitas vezes superiores ao 
                         desmatamento. De agosto de 2006 a julho de 2018, a {\'a}rea 
                         degradada totalizou 191.632 kmē, o que representa 2,4 vezes os 
                         89.501 kmē desmatados no mesmo per{\'{\i}}odo. Os impactos da 
                         degrada{\c{c}}{\~a}o incluem mudan{\c{c}}as na estrutura da 
                         floresta, nos estoques de carbono e perda de biodiversidade e 
                         tamb{\'e}m podem afetar o balan{\c{c}}o de CO2 e impactar as 
                         mudan{\c{c}}as clim{\'a}ticas futuras. Esta tese tem como 
                         objetivo investigar os fatores relacionados {\`a} 
                         distribui{\c{c}}{\~a}o espa{\c{c}}o-temporal da 
                         degrada{\c{c}}{\~a}o florestal nesta regi{\~a}o nos 
                         {\'u}ltimos anos e como eles impactam o balan{\c{c}}o de CO2 na 
                         regi{\~a}o. As secas e o desmatamento s{\~a}o alguns dos 
                         principais fatores ligados {\`a} degrada{\c{c}}{\~a}o 
                         florestal. Sendo assim, foi analisada como a rela{\c{c}}{\~a}o 
                         entre esses fatores e a degrada{\c{c}}{\~a}o florestal evoluiu 
                         durante esse per{\'{\i}}odo, analisando tr{\^e}s indicadores: 
                         indicador de anomalia de d{\'e}ficit h{\'{\i}}drico, indicador 
                         de desmatamento hist{\'o}rico por corte raso e indicador de 
                         {\'a}reas protegidas. Tamb{\'e}m foram analisadas 
                         trajet{\'o}rias temporais de degrada{\c{c}}{\~a}o florestal de 
                         agosto de 2006 a julho de 2016 na Amaz{\^o}nia brasileira e 
                         avaliamos seu impacto no balan{\c{c}}o de carbono regional, 
                         combinando o processo de degrada{\c{c}}{\~a}o com processos 
                         relacionados ao desmatamento (desmatamento por corte raso e 
                         din{\^a}mica da vegeta{\c{c}}{\~a}o secund{\'a}ria), usando o 
                         modelo espacialmente explicito de emiss{\~a}o de carbono INPE-EM. 
                         Finalmente, foram explorados os fatores socioecon{\^o}micos e 
                         ambientais que influenciam a distribui{\c{c}}{\~a}o espacial da 
                         degrada{\c{c}}{\~a}o florestal e projetados cen{\'a}rios 
                         futuros de degrada{\c{c}}{\~a}o e emiss{\~o}es de CO2 para a 
                         Amaz{\^o}nia brasileira. Os resultados apontaram que, durante os 
                         anos mais secos da s{\'e}rie hist{\'o}rica, 80% dos eventos de 
                         degrada{\c{c}}{\~a}o ocorrem em {\'a}reas classificadas como de 
                         seca. Em contrapartida, a ocorr{\^e}ncia de 
                         degrada{\c{c}}{\~a}o florestal nessas {\'a}reas n{\~a}o 
                         ultrapassa 50% quando considerado todo o per{\'{\i}}odo de 
                         an{\'a}lise. Por outro lado, as rela{\c{c}}{\~o}es entre 
                         degrada{\c{c}}{\~a}o e desmatamento hist{\'o}rico foram, em 
                         m{\'e}dia, 67% em todo o per{\'{\i}}odo. Al{\'e}m disso, 
                         tamb{\'e}m foi mostrado que, em m{\'e}dia, 25% da 
                         degrada{\c{c}}{\~a}o ocorreu em Territ{\'o}rios 
                         Ind{\'{\i}}genas e 9% em Unidades de Conserva{\c{c}}{\~a}o. A 
                         an{\'a}lise da trajet{\'o}ria apontou que 13% da {\'a}rea 
                         degradada acabou sendo desmatada e convertida no per{\'{\i}}odo 
                         e 61% da {\'a}rea degradada total sofreu apenas um evento de 
                         degrada{\c{c}}{\~a}o ao longo dos anos considerados. As 
                         emiss{\~o}es l{\'{\i}}quidas somaram 5,4 Gt CO2, considerando 
                         as emiss{\~o}es da degrada{\c{c}}{\~a}o e desmatamento 
                         florestal, absor{\c{c}}{\~a}o da recupera{\c{c}}{\~a}o da 
                         floresta degradada e din{\^a}mica da vegeta{\c{c}}{\~a}o 
                         secund{\'a}ria. Os resultados exibiram um aumento da 
                         contribui{\c{c}}{\~a}o da degrada{\c{c}}{\~a}o florestal para 
                         as emiss{\~o}es l{\'{\i}}quidas no final do per{\'{\i}}odo, 
                         relacionada {\`a} diminui{\c{c}}{\~a}o das taxas de 
                         desmatamento por corte raso, desacoplada das taxas de 
                         degrada{\c{c}}{\~a}o florestal. O modelo espacialmente 
                         expl{\'{\i}}cito nos permitiu explorar fatores 
                         socioecon{\^o}micos e ambientais que influenciam a 
                         distribui{\c{c}}{\~a}o espacial da degrada{\c{c}}{\~a}o 
                         florestal e projetar cen{\'a}rios futuros de 
                         degrada{\c{c}}{\~a}o e emiss{\~o}es de CO2 para a Amaz{\^o}nia 
                         brasileira. Foram constru{\'{\i}}dos cen{\'a}rios de uso do 
                         solo sustent{\'a}veis e de fragmenta{\c{c}}{\~a}o e estimamos 
                         seus impactos nas emiss{\~o}es de CO2. Ao final da 
                         simula{\c{c}}{\~a}o, a maioria deles apresentava uma parcela de 
                         at{\'e} 10% de degrada{\c{c}}{\~a}o florestal. Por{\'e}m, no 
                         cen{\'a}rio sustent{\'a}vel, ainda foi poss{\'{\i}}vel 
                         observar regi{\~o}es de floresta intacta, principalmente no leste 
                         do Amazonas. Enquanto as emiss{\~o}es l{\'{\i}}quidas de CO2 de 
                         2019 2050 somaram 0,74 Gt CO2 no cen{\'a}rio sustent{\'a}vel, no 
                         cen{\'a}rio de fragmenta{\c{c}}{\~a}o esse valor atingiu 22,63 
                         Gt CO2.",
            committee = "Ometto, Jean Pierre Henry Balbaud (presidente) and Aguiar, Ana 
                         Paula Dutra de (orientadora) and Randow, Celso von (orientador) 
                         and Nobre, Carlos Afonso (orientador) and Cesar, Erika de 
                         Berenguer and Ferreira, Joice Nunes",
         englishtitle = "Degrada{\c{c}}{\~a}o florestal na Amaz{\^o}nia brasileira: 
                         padr{\~o}es espa{\c{c}}o temporais, fatores relacionados e 
                         emiss{\~o}es de CO2.",
             language = "en",
                pages = "75",
                  ibi = "8JMKD3MGP3W34R/4388MN2",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34R/4388MN2",
           targetfile = "publicacao.pdf",
        urlaccessdate = "27 abr. 2024"
}


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