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@PhDThesis{Macedo:2013:MoDiEs,
               author = "Macedo, Rodrigo de Campos",
                title = "Modelagem din{\^a}mica espacial e valora{\c{c}}{\~a}o das 
                         altera{\c{c}}{\~o}es de cobertura e uso da terra relacionadas 
                         {\`a} expans{\~a}o canavieira",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2013",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2013-09-26",
             keywords = "modelagem din{\^a}mica espacial, valora{\c{c}}{\~a}o, 
                         mudan{\c{c}}as de cobertura e uso da terra, expans{\~a}o 
                         canavieira, spatial dynamic modeling, environmental valuation, 
                         land use and cover change, sugarcane expansion.",
             abstract = "O problema exposto neste trabalho {\'e} relacionado {\`a} 
                         proposi{\c{c}}{\~a}o de um modelo din{\^a}mico e espacial 
                         acoplado {\`a} valora{\c{c}}{\~a}o das altera{\c{c}}{\~o}es 
                         de cobertura e uso da terra. O objetivo {\'e} desenvolver os 
                         modelos de altera{\c{c}}{\~a}o de cobertura e uso da terra e de 
                         valora{\c{c}}{\~a}o e acopl{\'a}-los, propiciando a 
                         gera{\c{c}}{\~a}o de cen{\'a}rios futuros monetizados 
                         relacionados {\`a} expans{\~a}o canavieira e seus impactos nos 
                         servi{\c{c}}os ecossist{\^e}micos. A {\'a}rea de estudo {\'e} 
                         o munic{\'{\i}}pio de Arealva, localizado na regi{\~a}o 
                         centro-oeste do estado de S{\~a}o Paulo. A proposi{\c{c}}{\~a}o 
                         dos cen{\'a}rios levou em considera{\c{c}}{\~a}o a 
                         revegeta{\c{c}}{\~a}o de APPs como estrat{\'e}gia de 
                         minimiza{\c{c}}{\~a}o de impactos ambientais e 
                         recupera{\c{c}}{\~a}o dos servi{\c{c}}os ambientais j{\'a} 
                         comprometidos. Foram definidos tr{\^e}s conjuntos de 
                         cen{\'a}rios: i) cen{\'a}rios estacion{\'a}rios, em que foram 
                         mantidas as taxas de transi{\c{c}}{\~a}o e reproduzidas as 
                         mudan{\c{c}}as detectadas (tend{\^e}ncia hist{\'o}rica); ii) 
                         cen{\'a}rios n{\~a}o-estacion{\'a}rios de 
                         readequa{\c{c}}{\~a}o das APPs hidrogr{\'a}ficas, 
                         recuperando-se 70\% das APPs at{\'e} 2020 e; iii) cen{\'a}rios 
                         n{\~a}o-estacion{\'a}rios de readequa{\c{c}}{\~a}o das APPs 
                         hidrogr{\'a}ficas, recuperando-se 100\% at{\'e} 2020. Para a 
                         gera{\c{c}}{\~a}o dos cen{\'a}rios estacion{\'a}rios e 
                         n{\~a}o-estacion{\'a}rios, foi elaborado um modelo de 
                         mudan{\c{c}}a de cobertura e uso da terra. Esse modelo considerou 
                         as seguintes vari{\'a}veis: dist{\^a}ncia {\`a}s estradas, a 
                         rios e {\`a}s usinas, declividade e tipo de solo. Na 
                         parametriza{\c{c}}{\~a}o, calibra{\c{c}}{\~a}o e 
                         valida{\c{c}}{\~a}o do modelo, simula{\c{c}}{\~o}es 
                         pret{\'e}ritas para 2005 e 2010 foram realizadas. Essas 
                         simula{\c{c}}{\~o}es foram ajustadas at{\'e} se obter uma boa 
                         rela{\c{c}}{\~a}o de similaridade entre a simula{\c{c}}{\~a}o 
                         e a base-refer{\^e}ncia. Foram testadas diversas 
                         propor{\c{c}}{\~o}es entre expans{\~a}o e nuclea{\c{c}}{\~a}o 
                         de classes. Para valorar e propor cen{\'a}rios futuros 
                         monetizados, uma fun{\c{c}}{\~a}o dose-resposta foi calculada, 
                         que, por sua vez, considerou o lucro operacional, os principais 
                         impactos ambientais associados {\`a} cana-de-a{\c{c}}{\'u}car e 
                         pastagem, e os principais servi{\c{c}}os ecossist{\^e}micos 
                         associados {\`a} vegeta{\c{c}}{\~a}o nativa. Os servi{\c{c}}os 
                         ecossist{\^e}micos e os impactos ambientais selecionados foram os 
                         relacionados {\`a} conserva{\c{c}}{\~a}o de solo e de 
                         {\'a}gua, visando minimizar os riscos de eros{\~a}o e 
                         assoreamento. As mudan{\c{c}}as mais relevantes est{\~a}o 
                         relacionadas {\`a} expans{\~a}o canavieira e 
                         retra{\c{c}}{\~a}o de pastagens. A readequa{\c{c}}{\~a}o 
                         ambiental reduziria o lucro operacional em cerca de 6\% 
                         (R\\$460.000,00.ano-1), representando cerca de 
                         R\\$165,00.ha-1.ano-1 em APP. Todos os impactos ambientais 
                         considerados s{\~a}o dependentes da estimativa de quantidade de 
                         solo perdido, ou seja, quanto maior a eros{\~a}o potencial, maior 
                         a pondera{\c{c}}{\~a}o de severidade do impacto ambiental. Os 
                         cen{\'a}rios de readequa{\c{c}}{\~a}o ambiental podem reduzir 
                         os impactos em at{\'e} 16\% (R\\$260.000,00.ano-1). Como 
                         h{\'a} cerca de 4.600ha de APP em Arealva, essa 
                         atenua{\c{c}}{\~a}o dos impactos ambientais poderia contribuir 
                         com R\\$56,52.ha-1.ano-1, valor competitivo com algumas 
                         pastagens degradadas. A readequa{\c{c}}{\~a}o ambiental traz 
                         duplo benef{\'{\i}}cio: aumenta a oferta de servi{\c{c}}o 
                         ecossist{\^e}mico e diminui os riscos de impactos ambientais 
                         negativos. Ambos os benef{\'{\i}}cios s{\~a}o externos ao 
                         mercado, portanto de dif{\'{\i}}cil percep{\c{c}}{\~a}o pelos 
                         agentes. A viabiliza{\c{c}}{\~a}o de um instrumento 
                         econ{\^o}mico de valoriza{\c{c}}{\~a}o dos servi{\c{c}}os 
                         ecossist{\^e}micos, atrelada {\`a} internaliza{\c{c}}{\~a}o 
                         dos potenciais impactos ambientais, poderia viabilizar a 
                         readequa{\c{c}}{\~a}o ambiental. ABSTRACT: The problem dealt 
                         with in this work is the proposition of a spatial dynamic model 
                         coupled to an economic valuation of land use and cover change 
                         (LUCC). The aim is to generate future monetized LUCC scenarios 
                         related to sugarcane expansion. The study area is Arealva, a 
                         municipality located in the central-west of S{\~a}o Paulo estate, 
                         southeast of Brazil. The proposed scenarios considered the 
                         revegetation of conservation areas as a strategy for minimizing 
                         environmental impacts as well as for recovering environmental 
                         services under threat. Three sets of scenarios were defined: i) 
                         stationary scenarios, where transition rates observed in the 
                         analyzed period were maintained and the detected changes 
                         reproduced historical trend (business as usual), ii) 
                         non-stationary scenarios, with a 70\% recovery of vegetation in 
                         conservation areas along water streams by 2020, and iii) 
                         non-stationary scenarios, with a 100\% recovery of vegetation in 
                         conservation areas along water streams by 2020. For the generation 
                         of stationary and non-stationary scenarios, we designed a dynamic 
                         spatially explicit LUCC model, comprising the following driving 
                         variables: distance to roads, distance to rivers, distance to 
                         Tiet{\^e} waterway, slope and soil type. In order to 
                         parameterize, calibrate and validate the model, past simulations 
                         were accomplished for the period from 2005 to 2010. Such 
                         simulations were adjusted so as to achieve a satisfactory fit in 
                         relation to the reference map (real land use and cover map in 
                         2010). The economic valuation considered operational profit and 
                         the main environmental impacts associated with sugar cane and 
                         pasture, besides key ecosystem services provided by native 
                         vegetation. The selected ecosystem services are related to soil 
                         and water conservation and are meant to minimize erosion and 
                         silting-up risks, which precisely regard the analyzed 
                         environmental impacts. The most significant changes are related to 
                         sugarcane expansion and decrease in pastures. The environmental 
                         readjustment reduce operating profit by about 6\% 
                         (R\\$460,000.00.year-1), representing approximately R\\$165.00 
                         . 1.ano ha - 1. As the ecosystem service is dependent on classes 
                         inter-related to native vegetation, the environmental recovery 
                         scenarios presented higher values for such services than the 
                         stationary scenarios, approx. 75\% (R\\$900.0000,00.year-1). 
                         All environmental impacts are regarded as dependent on the 
                         estimated amount of soil loss, i.e., the greater the potential 
                         erosion, the greater the environmental impact magnitude. The 
                         scenarios of environmental recovery can reduce environmental 
                         impacts by as much as 16\% (R\\$260,000.00.year-1). This 
                         mitigation of environmental impacts could contribute to R\\$ 
                         56.52.ha-1.year-1, competitive value with some degraded pastures. 
                         The environmental recovery causes reduced opportunity cost 
                         (sacrified income). On the other hand, its benefits are twofold: 
                         it increases the supply of ecosystem services and reduces the risk 
                         of future undesirable environmental impacts. Both benefits are 
                         external to the market, therefore it is difficult for economic 
                         agents to acknowledge them. The design of economic policies 
                         targeted to valorize ecosystem services together with the 
                         endorsement of legal tools for internalizing potential 
                         environmental impacts would certainly enable feasible and 
                         competitive environmental recovery.",
            committee = "Rudorff, Bernardo Friedrich Theodor (presidente) and Almeida, 
                         Cl{\'a}udia Maria de (orientadora) and Santos, Jo{\~a}o Roberto 
                         (orientador) and Alves, Di{\'o}genes Salas and Soares Filho, 
                         Britaldo Silveira and Sousa Junior, Wilson Cabral",
         englishtitle = "Spatial dynamic modeling and economic valuation of land use and 
                         cover changes related to sugarcane expansion",
             language = "pt",
                pages = "266",
                  ibi = "8JMKD3MGP7W/3EPSPRS",
                  url = "http://urlib.net/ibi/8JMKD3MGP7W/3EPSPRS",
           targetfile = "publicacao.pdf",
        urlaccessdate = "13 maio 2024"
}


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