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@PhDThesis{Sato:2017:TeLiQu,
               author = "Sato, Luciane Yumie",
                title = "Tecnologia LiDAR para quantifica{\c{c}}{\~a}o dos impactos de 
                         inc{\^e}ndios na estrutura florestal no sudoeste da 
                         Amaz{\^o}nia",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2017",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2016-08-25",
             keywords = "biomassa florestal acima do solo, florestas tropicais, fogo, 
                         degrada{\c{c}}{\~a}o, light detection and ranging, above ground 
                         biomass, tropical forest, fire, degradation.",
             abstract = "Entender a estrutura e a din{\^a}mica das florestas tropicais 
                         {\'e} fundamental para quantificar os impactos das 
                         mudan{\c{c}}as ambientais sobre esses ecossistemas. O fogo {\'e} 
                         um dos principais fatores que impactam diretamente a estrutura, a 
                         composi{\c{c}}{\~a}o flor{\'{\i}}stica e a biomassa florestal 
                         na Amaz{\^o}nia. Devido {\`a} grande extens{\~a}o 
                         geogr{\'a}fica da Amaz{\^o}nia, t{\'e}cnicas de sensoriamento 
                         remoto s{\~a}o necess{\'a}rios para avaliar exaustivamente os 
                         impactos de inc{\^e}ndios florestais no {\^a}mbito da paisagem. 
                         Neste contexto, esse trabalho tem como objetivo quantificar, pela 
                         primeira vez, o impacto do fogo na estrutura florestal no sudoeste 
                         da Amaz{\^o}nia usando dados de LiDAR. Para isto, o presente 
                         trabalho avaliou quatro {\'a}reas localizadas no estado do Acre, 
                         denominadas de RIB, Humait{\'a}, Bonal e Talism{\~a}. As 
                         {\'a}reas de RIB e Humait{\'a} sofreram com queimadas no ano de 
                         2005 e as {\'a}reas de Bonal e Talism{\~a} no ano de 2010. 
                         Nessas {\'a}reas, foram inventariadas 25 parcelas (0,25 ha cada) 
                         no ano de 2014. Foi observado que as maiores perdas de biomassa 
                         florestal ocorrem nos cinco primeiros anos ap{\'o}s a 
                         ocorr{\^e}ncia do fogo, reduzindo entre 11\% e 16\% a biomassa 
                         florestal. Entre oito e dez anos ap{\'o}s o evento de fogo, a 
                         perda de biomassa florestal {\'e} menor, variando entre 1\% e 
                         8\%. O total de biomassa florestal acima do solo perdida nas 
                         quatro regi{\~o}es de estudo foi de 9.193 Mg, com uma perda 
                         m{\'e}dia de 2.298 Mg por regi{\~a}o. A biomassa florestal 
                         m{\'e}dia nas {\'a}reas n{\~a}o queimadas variou entre 115 
                         Mgha\$^{\−1}\$ e 188 Mgha\$^{\−1}\$. Para as 
                         {\'a}reas afetadas pelo fogo, a biomassa m{\'e}dia variou entre 
                         96 Mgha\$^{\−1}\$ e 186 Mgha\$^{\−1}\$. Os 
                         baixos valores de biomassa florestal, tanto nas {\'a}reas 
                         controle como nas {\'a}reas queimadas, podem estar associados com 
                         a presen{\c{c}}a de bambu nessas florestas. O impacto do fogo 
                         associado com a mortalidade dos indiv{\'{\i}}duos foi claramente 
                         detectado usando o LiDAR, mesmo ap{\'o}s dez anos da 
                         ocorr{\^e}ncia da queimada nas florestas. A partir dos dados 
                         produzidos nesse trabalho, verifica-se que os dist{\'u}rbios do 
                         fogo na regi{\~a}o Amaz{\^o}nica podem causar perdas 
                         persistentes na biomassa florestal e consequente 
                         redu{\c{c}}{\~a}o do estoque de carbono dessas {\'a}reas. 
                         Nossos resultados mostraram que dez ap{\'o}s a ocorr{\^e}ncia do 
                         fogo, n{\~a}o houve recupera{\c{c}}{\~a}o completa da floresta 
                         em rela{\c{c}}{\~a}o {\`a} altura e {\`a} biomassa florestal 
                         nas {\'a}reas queimadas (p < 0.05). O monitoramento 
                         cont{\'{\i}}nuo das florestas afetadas pelo fogo {\'e} 
                         essencial para que se possa descrever a trajet{\'o}ria de 
                         recupera{\c{c}}{\~a}o em longo prazo das florestas 
                         Amaz{\^o}nicas. ABSTRACT: Understanding the dynamics of tropical 
                         forest structure is critical for quantifying impacts of 
                         environmental changes on these ecosystems. Fire is one of the main 
                         factors that directly impact the structure, floristic composition 
                         and forest biomass in the Amazon. Because of the large 
                         geographical extent of Amazonia, remote sensing techniques are 
                         required for comprehensively assessing forest fire impacts at the 
                         landscape level. In this context, this work aims, for the first 
                         time, to quantify post-fire changes in forest canopy height and 
                         biomass using Airborne LiDAR in western Amazonia. For this, the 
                         present study evaluated four areas located in the state of Acre, 
                         called RIB, Humait{\'a}, Bonal and Talism{\~a}. RIB and 
                         Humait{\'a} was burned in 2005 and Bonal and Talism{\~a} was 
                         burned in 2010. In these areas were inventoried 25 plots (0.25 ha 
                         each) in 2014. It was observed that the biggest losses of forest 
                         biomass occur in the first five years after the occurrence of 
                         fire, reducing the forest biomass from 11\% to 16\%. Between 
                         eight and ten years after the fire event, the loss of forest 
                         biomass is smaller, ranging between 1\% and 8\%. The total 
                         forest above ground biomass lost in four study regions was 9,193 
                         Mg, with an average loss of 2,298 Mg per region. The average 
                         forest biomass in unburned areas varies between 115 
                         Mgha\$^{\−1}\$ and 188 Mgha\$^{\−1}\$. For the 
                         affected areas, the average biomass varies between 96 
                         Mgha\$^{\−1}\$ and 186 Mgha\$^{\−1}\$. The low 
                         forest biomass values in both control areas and in the burnt areas 
                         may be associated with the presence of bamboo in this region. The 
                         fire impact associated to the mortality of trees was clearly 
                         detected using LiDAR up to ten years after the fire event. This 
                         study indicates that fire disturbance in the Amazon region can 
                         cause persistent above-ground biomass loss and consequent 
                         reduction of forest carbon stocks. Our results showed that ten 
                         after the occurrence of the fire, there was no complete recovery 
                         of the forest in relation to height and forest biomass in burned 
                         areas (p<0.05). Continuous monitoring of burned forests is 
                         required for depicting the long-term recovery trajectory of 
                         fire-affected Amazonian forests.",
            committee = "Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de 
                         (presidente/orientador) and Shimabukuro, Yosio Edemir (orientador) 
                         and Aguiar, Ana Paula Dutra de and Cardoso, Manoel Ferreira and 
                         Longo, Marcos and Rodriguez, Luiz Carlos Estraviz",
           copyholder = "SID/SCD",
         englishtitle = "Airborne LiDAR for quantifying impacts of fire on forest structure 
                         in the southwestern Brazilian Amazon",
             language = "pt",
                pages = "126",
                  ibi = "8JMKD3MGP3W34P/3M8GSQ2",
                  url = "http://urlib.net/rep/8JMKD3MGP3W34P/3M8GSQ2",
           targetfile = "publicacao.pdf",
        urlaccessdate = "29 nov. 2020"
}


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