@InProceedings{CostaScarSoteRamo:2019:IdArNa,
author = "Costa, Wanderson and Scarabello, Marluce da Cruz and Soterroni,
Aline Cristina and Ramos, Fernando Manoel",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Identifying areas for native vegetation restoration in degraded
lands with the help of MapBiomas and GLOBIOM-Brazil",
year = "2019",
organization = "Congresso Mundial da IUFRO",
abstract = "Created by Greenhouse Gas Emissions Estimation System (SEEG) in
2015, MapBiomas (Brazilian Annual Land Use and Land Cover Mapping
Project) is one of the most recent Brazilian initiatives to
generate annual land cover/use maps. Its mapping methodology is
fully automated and integrated with Google Earth Engine and allows
the possibility of comparing historical data since 1985. This
mapping methodology facilitates the application of the Brazilian
Forest Code, in addition to monitoring protected areas and
pointing out opportunities for forest restoration. This study aims
at using MapBiomas as the initial land cover/use map of the
GLOBIOM-Brazil model. GLOBIOM-Brazil is a global economic partial
equilibrium model that simulates, in a spatially explicit way, the
competition for land among the main sectors of the land-use
economy subjected to technology, resource and policy restrictions.
Brazils new Forest Code, including its debt offset mechanism
(CRA), is explicitly included in our scenarios. Potential forest
restoration areas are taken from the Rural Environmental Registry
(CAR). Final identification of forest restoration areas also takes
into account the opportunity costs, estimated by GLOBIOM-Brazil.
Restoration costs take into account the previous use of the land,
i.e., if it was cropland, pasture, abandoned land or degraded
land. Our results emphasize the use of MapBiomas and
GLOBIOM-Brazil as a support in the development of forest
restoration policies.",
conference-location = "Curitiba, PR",
conference-year = "29 set. - 05 out.",
language = "en",
targetfile = "costa_identifying.pdf",
urlaccessdate = "27 abr. 2024"
}