@InProceedings{SolerKokCāmaVeld:2012:UnHuIn,
author = "Soler, L. S. and Kok, K. and C{\^a}mara, G. and Veldkamp, A.",
affiliation = "Faculty of Geo-Information Science and Earth Observation (ITC),
University of Twente, The Netherlands and Wageningen University,
The Netherlands and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and Wageningen University, The Netherlands",
title = "Land use and land cover dynamics in the brazilian Amazon:
understanding human-environmental interactions",
booktitle = "Abstracts...",
year = "2012",
organization = "Planet Under Pressure Conference, (PUP).",
keywords = "land use, land cover, brazilian Amazon, human-environmental
interactions.",
abstract = "In 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.",
conference-location = "London",
conference-year = "26-29 Mar. 2012",
urlaccessdate = "19 abr. 2024"
}