@Article{HissaMülAguHosLak:2018:HiCaFl,
author = "Hissa, Let{\'{\i}}cia de Barros Viana and M{\"u}ller, Hannes
and Aguiar, Ana Paula Dutra de and Hostert, Patrick and Lakes,
Tobia",
affiliation = "{Humboldt-Universit{\"a}t zu Berlin} and
{Humboldt-Universit{\"a}t zu Berlin} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Humboldt-Universit{\"a}t zu
Berlin} and {Humboldt-Universit{\"a}t zu Berlin}",
title = "Historical carbon fluxes in the expanding deforestation frontier
of Southern Brazilian Amazonia (1985–2012)",
journal = "Regional Environmental Change",
year = "2018",
volume = "18",
number = "1",
pages = "77--89",
month = "jan.",
keywords = "Carbon book-keeping, Deforestation, Forest degradation, Edge
effects, Dataset uncertainty, INPEEM, Landsat.",
abstract = "In tropical areas, pioneer occupation fronts steer the rapid
expansion of deforestation, contributing to carbon emissions.
Up-to-date carbon emission estimates covering the long-term
development of such frontiers depend on the availability of high
spatialtemporal resolution data. In this paper, we provide a
detailed assessment of carbon losses from deforestation and
potential forest degradation from fragmentation for one expanding
frontier in the Brazilian Amazon. We focused on one of the
Amazonias hot-spots of forest loss, the BR-163 highway that
connects the high productivity agricultural landscapes in Mato
Grosso with the exporting harbors of the Amazon. We used
multidecadal (19842012) Landsat-based time series on forested and
non-forested area in combination with a carbon bookkeeping model.
We show a 36% reduction in 1984s biomass carbon stocks, which led
to the emission of 611.5 TgCO2 between 1985 and 1998 (43.6 TgCO2
year-1 ) and 959.8 TgCO2 over 19992012 (68.5 TgCO2 year-1 ).
Overall, fragmentation-related carbon losses represented 1.88% of
total emissions by 2012, with an increasing relevance since 2004.
We compared the Brazilian Space Agency deforestation assessment
(PRODES) with our data and found that small deforestation polygons
not captured by PRODES had increasing importance on estimated
deforestation carbon losses since 2000. The comparative analysis
improved the understanding of data-source-related uncertainties on
carbon estimates and indicated disagreement areas between datasets
that could be subject of future research. Furthermore, spatially
explicit, annual deforestation and emission estimates like the
ones derived from this study are important for setting regional
baselines for REDD? or similar payment for ecosystem services
frameworks.",
doi = "10.1007/s10113-016-1076-2",
url = "http://dx.doi.org/10.1007/s10113-016-1076-2",
issn = "1436-3798 and 1436-378X",
language = "en",
targetfile = "hissa_historical.pdf",
urlaccessdate = "27 abr. 2024"
}