@Article{MaedaMaWaKiOkEaHu:2017:EvSeAc,
author = "Maeda, Eduardo Eiji and Ma, Xuanlong and Wagner, Fabien Hubert and
Kim, Hyungjun and Oki, Taikan and Eamus, Derek and Huete,
Alfredo",
affiliation = "{University of Helsinki} and {University of Technology Sydney} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {The
University of Tokyo} and {The University of Tokyo} and {University
of Technology Sydney} and {University of Technology Sydney}",
title = "Evapotranspiration seasonality across the Amazon Basin",
journal = "Earth System Dynamics",
year = "2017",
volume = "8",
number = "2",
pages = "439--454",
month = "June",
abstract = "Evapotranspiration (ET) of Amazon forests is a main driver of
regional climate patterns and an important indicator of ecosystem
functioning. Despite its importance, the seasonal variability of
ET over Amazon forests, and its relationship with environmental
drivers, is still poorly understood. In this study, we carry out a
water balance approach to analyse seasonal patterns in ET and
their relationships with water and energy drivers over five
sub-basins across the Amazon Basin. We used in situ measurements
of river discharge, and remotely sensed estimates of terrestrial
water storage, rainfall, and solar radiation. We show that the
characteristics of ET seasonality in all sub-basins differ in
timing and magnitude. The highest mean annual ET was found in the
northern Rio Negro basin ( \∼ 1497 mm year\−1 ) and
the lowest values in the Solim{\~o}es River basin (\∼ 986
mm year\−1 ). For the first time in a basin-scale study,
using observational data, we show that factors limiting ET vary
across climatic gradients in the Amazon, confirming local-scale
eddy covariance studies. Both annual mean and seasonality in ET
are driven by a combination of energy and water availability, as
neither rainfall nor radiation alone could explain patterns in ET.
In southern basins, despite seasonal rainfall deficits, deep root
water uptake allows increasing rates of ET during the dry season,
when radiation is usually higher than in the wet season. We
demonstrate contrasting ET seasonality with satellite greenness
across Amazon forests, with strong asynchronous relationships in
ever-wet watersheds, and positive correlations observed in
seasonally dry watersheds. Finally, we compared our results with
estimates obtained by two ET models, and we conclude that neither
of the two tested models could provide a consistent representation
of ET seasonal patterns across the Amazon.",
doi = "10.5194/esd-8-439-2017",
url = "http://dx.doi.org/10.5194/esd-8-439-2017",
issn = "2190-4979",
language = "en",
targetfile = "maeda_evapotranspiration.pdf",
urlaccessdate = "27 abr. 2024"
}