@InProceedings{TourignyNobr:2010:NeCoAt,
author = "Tourigny, Etienne and Nobre, Carlos Afonso",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Estimation of CO2 emissions from deforestation and land use change
in the Amazon: nested coupling of atmosphere, dynamic vegetation,
LUCC and fire spread models",
booktitle = "Posters",
year = "2010",
organization = "The Meeting of the Americas.",
publisher = "AGU",
keywords = "climate dynamics, earth system modeling, land/atmosphere
interactions, land cover change.",
abstract = "Deforestation of tropical forests for logging and agriculture,
associated to slash-and-burn practices, is a main contributor of
CO2 emissions, both immediate due to biomass burning and future
due to the elimination of a potential CO2 sink. Moreover, climate
change in the Amazon during the 21st century is projected to
decrease the resilience of the Amazon forest and possibly replace
large parts of tropical forests with savannas, adding to the
direct anthropogenic deforestation. The potential feedbacks
between LUCC (Land-Use and Land-Cover Change) and climate change
are thought to further increase the loss of tropical forests and
increase the rate of CO2 emissions, through mechanisms such as
land and soil degradation and the increase in wildfire occurrence
and severity. However, current understanding of the processes of
fires (including ignition, spread and consequences) in tropical
forests and feedbacks with climate are poorly understood and need
further research. As the processes of LUCC and associated fires
occur at local scales, linking them to large-scale atmospheric
processes requires a means of up-scaling higher resolutions
processes to lower resolutions. Our approach is to couple models
which operate at various spatial and temporal scales: a Global
Climate Model (GCM) (and possibly a Regional Climate Model; RCM),
Dynamic Global Vegetation Model (DGVM) and local-scale LUCC model
and fire behavior model. The climate model(s) resolve larger scale
atmospheric processes and forcings, which are felt by the surface
DGVM and fed-back to the climate. Higher-resolution processes such
as deforestation, land use management and associated (as well as
natural) fires are resolved at the local level. Anthropogenic LUCC
(such as deforestation and pasture burning) is modeled using
Geographical Information Systems (GIS) and spatially-explicit
models. Modifications to the land surface are imposed on the land
model, which has a potential feedback on the land surface
properties through processes resolved by the atmospheric and land
models. Fire behavior is modeled at the regional scale (~100m) to
represent the detailed landscape using semi-empirical or empirical
fire spread models. Improved parametrizations from our
fully-coupled experiments, for use in atmospheric and land surface
models, will allow for a better understanding and evaluation of
CO2 emissions from LUCC and feed-backs with climate change.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "8-12 Aug. 2010",
language = "en",
targetfile = "EtienneTourigny.pdf",
urlaccessdate = "04 maio 2024"
}