@InCollection{SaleskaRochKruiNobr:2009:EcCaFl,
author = "Saleska, Scott and Rocha, Humberto da and Kruijt, Bart and Nobre,
Antonio",
title = "Ecosystem carbon fluxes and amazonian forest metabolism",
booktitle = "Geophysical Monograph Series 186: Amazonia and Climate Change",
publisher = "American Geophyscial Union",
year = "2009",
editor = "Keller, M. and Bustamante, M. and Gash, J. and Dias, P. S.",
pages = "389--407",
address = "Washington, DC",
keywords = "Ecosystem, carbon fluxes, amazon.",
abstract = "Long-term measurements of ecosystem-atmosphere exchanges of
carbon, water, and energy, via eddy flux towers, give insight into
three key questions about Amazonian forest function. First, what
is the carbon balance of Amazon forests? Some towers give accurate
site-specific carbon balances, as validated by independent
methods, but decisive resolution of the large-scale question will
also require integration of remote sensing techniques (to detect
and encompass the distributionofnaturally induced disturbance
states across the landscape ofoldgrowth forests) with eddy flux
process studies (to characterize the association between carbon
balance and forest disturbance states). Second, what is the
seasonality of ecosystem metabolism in Amazonian forests? Models
have historically simulated dry season declines in photo,synthetic
metabolism, a consequence of modeled water limitation. Tower sites
in equatorial Amazonian forests, however, show that photosynthetic
metabolism increases during dly seasons ({"}green up{"}), perhaps
because deep roots buffer trees from dry season water stress,
while phenological rhythms trigger leaf flush, associated with
increased solar irradiance. Third, how does ecosystem metabolism
vary across biome types and laJ,id use patterns? As dry season
length increases from equatorial forest, to drier southern
forests, to savanna, fluxes show seasonal patterns consistent with
increasing water stress, including a switch from dly season green
up to {"}brown down.{"} Land use change in forest ecosystems
removes deep roots, artificially inducing the same trend toward
brown down. In the final part, this review suggests that eddy
tower network and satellitebased insights into seasonal responses
provide a model for detecting responses to extreme interannual
climate variations that can test whether forests are vulnerable to
model-simulated Amazonian forest collapse under climate change.",
affiliation = "{University of Arizona} and {Universidade de S{\~a}o Paulo (USP)}
and {Wageningen University and Research Center} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
isbn = "9780875904",
label = "lattes: 7168284647925847 3 MelackVictToma:2009:KeFiPe",
language = "en",
targetfile = "sakeska.pdf",
urlaccessdate = "27 abr. 2024"
}