Land use change in Amazonia: institutional analysis and modeling at multiple temporal and spatial scales

• Processo: 08/58112-0
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático
• Data de Início da vigência: 01 de março de 2010
• Data de Término da vigência: 28 de fevereiro de 2014
• Área do conhecimento: Ciências Humanas - Geografia - Geografia Regional
• Acordo de Cooperação: CNPq - Pronex
• Pesquisador responsável: Maria Isabel Sobral Escada
• Beneficiário: Maria Isabel Sobral Escada
• Instituição Sede: Instituto Nacional de Pesquisas Espaciais (INPE). São José dos Campos , SP, Brasil
• Pesquisadores principais: Corina da Costa Freitas ; Roberto Araújo Oliveira Santos Junior ; Yosio Edemir Shimabukuro
• Auxílio(s) vinculado(s): 11/12386-5 - Teoria da Informação na análise de imagens polarimétricas, AV.BR
• Bolsa(s) vinculada(s): 10/18854-8 - Detecção e descrição de padrões de mudança de uso do solo na Amazônia usando séries temporais de imagens de satélites, BP.PD; 11/10505-7 - Análises dos arranjos institucionais que influenciam as mudanças de uso da terra na Amazônia, BP.PD
• Assunto(s): Sensoriamento remoto Mudança climática Ecossistema amazônico
• Palavra(s)-Chave do Pesquisador: Amazonia | Arranjos Institucionais | Mineracao De Dados | Modelagem Lucc Multi-Escala | Sensoriamento Remoto

Resumo

This proposal focuses on the understanding of the complex social process of anthropogenic occupation that contributes to large-scale deforestation in Amazonia. Biomass burning emissions associated with deforestation in the region is responsible for 74% of Brazil's greenhouse gas emissions. In order to generate a better understanding of the impacts of land use dynamics in the Amazon on global environmental changes, and vice-versa, we argue that social processes underlying such changes need to be better understood, and incorporated into Land Use and Land Cover Change (LUCC) models. Thus we propose to explore the following core scientific question: How are the evolutions of land use systems and institutional arrangements interrelated in the Amazon? We will study human-induced landscape changes observed over the past 40 years as a result of the co-evolution of institutional arrangements defining resource control and ownership, including: land tenure, territorial planning, market chains, and policies to control deforestation. The study will be comprised of multi-scale and comparative case studies, each of which organized along four interrelated Iines of research, combining methods from different academic areas, including social analysis of institutional arrangements, remote sensing, landscape ecology, and dynamic modeling. Throughout the project, we will integrate case studies results to establish interrelations and an analytical understanding of social and institutional processes of change at different scales. Such findings will be incorporated into multi-scale LUCC models and scenarios. Our results and methodological advances will provide the basis for the development of more robust environmental models, predicated on the complexity of social interactions in Amazonia, to study the reciprocal relationship between deforestation and climate change. (AU)

Publicações científicas

(5)

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

CAMILOTTI, VAGNER LUIS; PINHO, PATRICIA; BRONDIZIO, EDUARDO S.; SOBRAL ESCADA, MARIA ISABEL. The Importance of Forest Extractive Resources for Income Generation and Subsistence among Caboclos and Colonists in the Brazilian Amazon. Human Ecology, v. 48, n. 1, FEB 2020. (08/58112-0)

DE SENNA CARNEIRO, TIAGO GARCIA; DE ANDRADE, PEDRO RIBEIRO; CAMARA, GILBERTO; VIEIRA MONTEIRO, ANTONIO MIGUEL; PEREIRA, RODRIGO REIS. An extensible toolbox for modeling nature-society interactions. ENVIRONMENTAL MODELLING & SOFTWARE, v. 46, p. 104-117, AUG 2013. (08/58112-0)

NEGRI, ROGERIO GALANTE; DUTRA, LUCIANO VIEIRA; SIQUEIRA SANT'ANNA, SIDNEI JOAO. An innovative support vector machine based method for contextual image classification. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 87, p. 241-248, JAN 2014. (08/58112-0, 08/57719-9)

NAKAMURA, RODRIGO Y. M.; GARCIA FONSECA, LEILA MARIA; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA S.; YANG, XIN-SHE; PAPA, JOAO PAPA. Nature-Inspired Framework for Hyperspectral Band Selection. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 52, n. 4, p. 2126-2137, APR 2014. (08/58528-2, 09/16206-1, 08/58112-0, 11/14058-5, 12/18768-0, 09/18438-7)

SCOFIELD, GRAZIELA BALDA; DUTRA, LUCIANO VIEIRA; FREITAS, CORINA DA COSTA; SIQUEIRA SANT ANNA, SIDNEI JOAO; ANDRADE SILVA, DANIEL LUIS; IEEE. EVALUATION OF TWO REGION BASED CLASSIFICATIONS IN TAPAJOS NATIONAL FOREST USING THE ALOS/PALSAR POLARIMETRIC AND INTERFEROMETRIC COHERENCES. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2010-01-01. (08/58112-0, 08/57719-9)