@InProceedings{PowellStil:2009:BiC3C4,
author = "Powell, Rebecca L. and Still, Christopher J.",
affiliation = "University of Denver, Colorado, USA and University of California,
Santa Barbara, California, USA",
title = "Biogeography of C3 and C4 vegetation in South America",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "2935--2942",
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 = "remote sensing, C4 photosynthesis, biogeography, stable isotopes,
MODIS continuous fields.",
abstract = "The C3/C4 composition of vegetation is required for a diverse set
of carbon cycle research, including inversion studies that use
global CO2 and {\"a}13C atmospheric data, as well as work that
requires the carbon isotope composition of biomass burning
emissions. Here, we present continental maps of the abundance and
distribution of C3 and C4 vegetation for South America. Our
approach relies upon the near-universal restriction of C4
photosynthesis to the herbaceous growth form and the differing
performance of C3 and C4 plants in various temperature and
radiation regimes. The MODIS Vegetation Continuous Fields (VCF)
product provides detailed information on growth form composition
(% tree, % herbaceous, and % bare) for each grid cell;
precipitation and temperature variations are derived from station
data climatologies; and crop type fractional coverage accounts for
managed agro-ecosystems that may violate the natural climate
constraints. A major limitation of the MODIS VCF product is that
the vegetation layers do not directly correspond to the percent
woody and percent herbaceous cover layers that are needed to
accurately derive C3/C4 composition of vegetation cover. To
address this issue, we develop a rules-based algorithm to separate
shrubs and true herbaceous cover from the MODIS herbaceous (i.e.,
non-tree vegetation) layer using the Global Land Cover 2000
dataset for South America. The {\"a}13C content of vegetation in
South America is then estimated based on the C3/C4 composition in
each land grid cell, assuming constant values of -27 and -12 for
C3 and C4 plant biomass, respectively.",
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@80/2008/11.17.20.20",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.20.20",
targetfile = "2935-2942.pdf",
type = "Floresta e Vegeta{\c{c}}{\~a}o",
urlaccessdate = "04 maio 2024"
}