Tipo da ReferênciaConference Proceedings
Chave SecundáriaINPE--PRE/
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoSolerKokCâmaVeld:2012:UnHuIn
Autor1 Soler, L. S.
2 Kok, K.
3 Câmara, G.
4 Veldkamp, A.
Afiliação1 Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands
2 Wageningen University, The Netherlands
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Wageningen University, The Netherlands
TítuloLand use and land cover dynamics in the brazilian Amazon: understanding human-environmental interactions
Nome do EventoPlanet Under Pressure Conference, (PUP).
Título do LivroAbstracts
Data26-29 Mar. 2012
Localização do EventoLondon
Palavras-Chaveland use, land cover, brazilian Amazon, human-environmental interactions.
ResumoIn the last decades, 18% of forest cover was cleared by human colonization in the Brazilian Amazon, where the spatial variability of deforestation depends not only on drivers but also on the spatial scale. Spatial variability can be explained by a combination of accessibility measures, public policies, socioeconomic and biophysical aspects that can lead the land use systems to distinct pathways, depending on the existing human-environmental interactions. The understanding of these interactions is a challenge to interdisciplinary research between social and natural sciences, while scientific results can help developing land use policies at different levels. In this context, the main objective of this study is to identify and analyze the role of human-environmental interactions at local and regional scales regarding the land use and land cover dynamics in the Brazilian Amazon. The adopted method consists of an innovative approach that integrates Fuzzy Cognitive Maps (FCMs), built based on spatial data and expert knowledge (Soler et al, 2010), to a framework that analyzes sustainability of social-ecological systems (Ostrom, 2009). FCMs are built using spatial databases at three different spatial resolutions and extents in areas of heterogeneous biophysical and socioeconomic aspects, colonization history and land tenure regimes. A number of empirical methods are employed using detailed deforestation maps, surveying data, agricultural census and household level data to support the background knowledge to build the FCMs. The results indicate feedback mechanisms between deforestation and land prices or dry season severity act differently within different scales, being stronger at broader scales. However, feedbacks among deforestation, accessibility and credits seem to have a similar influence at different scales, but only poor conclusions can be drawn on how they act over scales. Finally, FCMs linked to spatial data can elucidate interactions such as those within institutional arrangements, needed to identify successful or failuring social-ecological systems.
Tipo SecundárioPRE CI
Tipo TerciárioPoster Session
Última Atualização dos Metadados2018: sid.inpe.br/mtc-m19@80/2009/ administrator {D 2012}
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e-Mail (login)marciana
Grupo de Usuáriosmarciana
Acervo Hospedeirosid.inpe.br/mtc-m19@80/2009/
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Histórico2013-02-06 11:36:00 :: marciana -> administrator :: 2012
2018-06-05 04:12:50 :: administrator -> marciana :: 2012
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Data de Acesso31 mar. 2020