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@MastersThesis{Martini:2015:IdÁrPo,
               author = "Martini, Denise Zanatta",
                title = "Identifica{\c{c}}{\~a}o de {\'a}reas potencialmente 
                         dispon{\'{\i}}veis para expans{\~a}o agr{\'{\i}}cola no bioma 
                         Amaz{\^o}nia a partir de produtos de sensoriamento remoto e 
                         t{\'e}cnicas de geoprocessamento",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2015",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2015-03-13",
             keywords = "expans{\~a}o agr{\'{\i}}cola, bioma Amaz{\^o}nia, 
                         geotecnologias, sensoriamento remoto, agricultural expansion, 
                         Amazon biome, geotechnologies, remote sensing.",
             abstract = "A demanda global por alimentos, fibras e biocombust{\'{\i}}veis 
                         vem pressionando a agricultura e os recursos naturais {\`a} 
                         medida que {\'a}reas para expans{\~a}o agr{\'{\i}}cola 
                         t{\^e}m se tornado um recurso cada vez mais escasso em 
                         v{\'a}rias regi{\~o}es do globo. Com {\'a}reas ainda pouco 
                         exploradas ou subutilizadas, o Brasil {\'e} apontado como um dos 
                         principais sorvedouros da demanda crescente por 
                         \emph{commodities} agr{\'{\i}}colas projetada para as 
                         pr{\'o}ximas d{\'e}cadas. Contudo, do ponto de vista legal, 
                         agron{\^o}mico e ambiental, pouco se sabe sobre a real 
                         disponibilidade e viabilidade de terras para expans{\~a}o 
                         agr{\'{\i}}cola no pa{\'{\i}}s. Neste sentido, este trabalho 
                         teve por objetivo localizar e quantificar {\'a}reas 
                         potencialmente dispon{\'{\i}}veis para a expans{\~a}o 
                         agr{\'{\i}}cola no bioma Amaz{\^o}nia, tomando como base 
                         {\'a}reas florestais nativas legalmente dispon{\'{\i}}veis e 
                         {\'a}reas de vegeta{\c{c}}{\~a}o secund{\'a}ria e pastagem 
                         degradada com potencial produtivo favor{\'a}vel e livre de 
                         qualquer conflito de uso. Este levantamento foi realizado com base 
                         na integra{\c{c}}{\~a}o e an{\'a}lise de diferentes fatores 
                         determinantes, compilados em ambiente SIG (Sistemas de 
                         Informa{\c{c}}{\~a}o Geogr{\'a}fica) e manipulados a partir de 
                         t{\'e}cnicas de Infer{\^e}ncia Booleana. Os resultados revelam 
                         que 11,7\% (493.103,1 km\$^{2}\$) do bioma Amaz{\^o}nia 
                         estaria potencialmente dispon{\'{\i}}vel para expans{\~a}o 
                         agr{\'{\i}}cola no ano de 2010. Este estoque {\'e} formado 
                         principalmente por {\'a}reas florestais (59,4\%), seguido por 
                         {\'a}reas previamente convertidas (40,6\%) que juntas 
                         correspondem a 75,9\% de toda a {\'a}rea cultivada no Brasil no 
                         per{\'{\i}}odo avaliado. Contudo, o uso efetivo dessas 
                         {\'a}reas teria implica{\c{c}}{\~o}es pol{\'{\i}}ticas e 
                         ambientais diretas. Em primeiro lugar, a convers{\~a}o de 
                         {\'a}reas florestais anularia as conquistas do Plano de 
                         A{\c{c}}{\~a}o para Preven{\c{c}}{\~a}o e Controle do 
                         Desmatamento na Amaz{\^o}nia (PPCDam), respons{\'a}vel pela 
                         redu{\c{c}}{\~a}o de 79\% no desmatamento na regi{\~a}o em 
                         rela{\c{c}}{\~a}o {\`a}s m{\'e}dias hist{\'o}ricas. Al{\'e}m 
                         disso, a convers{\~a}o dessas {\'a}reas poderia resultar na 
                         emiss{\~a}o de 13 \$\pm\$ 1 Pg CO\$_{2}\$ para a atmosfera, 
                         que equivale ao total de emiss{\~o}es oriundas da mudan{\c{c}}a 
                         da cobertura da terra registrada no Brasil no per{\'{\i}}odo 
                         2000-2010. Portanto, para minimizar impactos ambientais, a 
                         expans{\~a}o agr{\'{\i}}cola na Amaz{\^o}nia deveria ser 
                         restrita a {\'a}reas j{\'a} convertidas. Estas {\'a}reas 
                         totalizam cerca de 200.000 km\$^{2}\$ e poderiam suportar a 
                         expans{\~a}o agr{\'{\i}}cola sem pressionar o avan{\c{c}}o do 
                         desmatamento. A {\'a}rea destinada ao cultivo da soja, em 
                         particular, poderia aumentar em 48\%, o que garantiria o 
                         equilibro entre suprimento e demanda projetado para a pr{\'o}xima 
                         d{\'e}cada. Contudo, o desenvolvimento pleno deste potencial 
                         ainda depende de quest{\~o}es institucionais, como o 
                         desenvolvimento de pol{\'{\i}}ticas de uso da terra consistentes 
                         que estimulem a recupera{\c{c}}{\~a}o e reintrodu{\c{c}}{\~a}o 
                         de terras abandonadas ou subutilizadas no setor agr{\'{\i}}cola. 
                         Caso contr{\'a}rio, o desafio de harmonizar 
                         conserva{\c{c}}{\~a}o ambiental e desenvolvimento 
                         sustent{\'a}vel pode se revelar ut{\'o}pico. ABSTRACT: The 
                         global demand for food, fiber and biofuels press agriculture and 
                         natural resources as land for agricultural expansion become a 
                         scarce resource in many regions around the world. With areas still 
                         unexplored or underutilized, Brazil is appoint-out as one of the 
                         major sinks for the growing demand of agricultural commodities 
                         projected for coming decades. However, from a legal, agronomic and 
                         environmental point of view, little is known on the real 
                         availability and practicability of agricultural expansion in the 
                         country. Thus, this study aimed to locate and quantify potentially 
                         available lands for agricultural expansion in the Brazilian Amazon 
                         taking into account legally available forests and previously 
                         converted lands with suitable production capacity and free of any 
                         land use conflict. This survey was undertaken based on the 
                         integration and analysis of different driving factors, compiled in 
                         GIS (Geographic Information System) and manipulated by Boolean 
                         Inference techniques. The results show that 11.7\% (493,103.1 
                         km\$^{2}\$) of the Brazilian Amazon would be potentially 
                         available for agricultural expansion in 2010. This stock is mainly 
                         formed by forest (59.4\%), followed by previously converted lands 
                         (40.6\%) which together corresponds to 75.9\% of the total 
                         cultivated area in Brazil during the evaluated period. However, 
                         the effective usage of these areas would have direct political and 
                         environmental implications. First, it is expected that effective 
                         usage of available forests would detract recent achievements of 
                         the Action Plan for Prevention and Control of Deforestation in the 
                         Amazon (PPCDAm) that has reduced deforestation in 79\% from 
                         historical rates. Moreover, the conversion of these areas could 
                         result in a committed emission of 13\$\pm\$1 Pg CO\$_{2}\$ to 
                         the atmosphere which is equivalent to the total emissions from 
                         land cover change registered in Brazil during the 2000-2010 
                         period. Therefore, to minimize environmental impacts, agricultural 
                         expansion in the Brazilian Amazon should be restricted to areas 
                         already converted. These lands amount up to 200,000 km\$^{2}\$ 
                         and could support agricultural expansion without pressing the 
                         advance of deforestation. The area designated for the soy 
                         cultivation, particularly, could increase 48\% which would ensure 
                         equilibrium between supply and demand projected for the next 
                         decade. However, to develop the full potential of these areas 
                         still depends on institutional issues such as consistent land use 
                         policies that encourage recovery and reintroduction of abandoned 
                         or underused lands in the productive sector. Otherwise, the 
                         challenge of harmonizing environmental conservation and 
                         sustainable development may reveal itself utopian.",
            committee = "Moreira, Maur{\'{\i}}cio Alves (presidente/orientador) and 
                         Formaggio, Ant{\^o}nio Roberto and Arag{\~a}o, Luiz Eduardo 
                         Oliveira e Cruz de and Batistella, Mateus",
           copyholder = "SID/SCD",
         englishtitle = "Identification of potentially available areas for agricultural 
                         expansion in the amazon biome based on remote sensing products and 
                         geoprocessing techniques",
             language = "pt",
                pages = "114",
                  ibi = "8JMKD3MGP3W34P/3HU9BNL",
                  url = "http://urlib.net/rep/8JMKD3MGP3W34P/3HU9BNL",
           targetfile = "publicacao.pdf",
        urlaccessdate = "25 nov. 2020"
}


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