@InProceedings{NelsonSoarAlbe:2009:PrFuLo,
author = "Nelson, Bruce Walker and Soares Filho, Britaldo Silveira and
Albernaz, Ana Luisa Kerti Mangabeira",
affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia} and
{Universidade Federal de Minas Gerais} and {Museu Paraense
Em{\'{\i}}lio Goeldi}",
title = "Present and future loss of climate niches in the forested
Brazilian Amazon",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "5337--5342",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Amazon, beta diversity, habitat loss, rainfall, Walsh index,
deforestation model.",
abstract = "A map of rainfall seasonality, using the Walsh Index, was taken as
a spatial proxy for forest beta diversity across the Brazilian
Amazon. Deforestation up to 2006 from Inpe (Prodes Digital) and
projected up to 2036, were used to determine percent loss of the
original forest cover in each consecutive slice of the Walsh
index. A modified version of the SimAmazonia model, with
Business-as-Usual infra-structure growth, was employed for the
future scenario. By 2006, over 60% of the forest in some of the
drier climate niches had been lost. Dry forest is of very limited
natural extent in the Amazon and is more susceptible to
degradation by fire -- thus a high conservation priority.
Supporting only the presently established conservation areas and
indigenous areas will not be sufficient for the protection of this
habitat. Losses are projected to exceed 90% of the original area
in some dry climate niche slices by 2036. The largest remnants of
dry forest today are in Roraima, along the Transamazon Highway and
in Maranh{\~a}o. The Walsh Index appears to be a useful separate
predictor of Amazon deforestation.",
conference-location = "Natal",
conference-year = "25-30 abr. 2009",
isbn = "978-85-17-00044-7",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "dpi.inpe.br/sbsr@80/2008/11.17.22.40.10",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.22.40.10",
targetfile = "5337-5342.pdf",
type = "Monitoramento e Modelagem Ambiental",
urlaccessdate = "27 abr. 2024"
}