@Article{GonçalvesLoDaWuPiNe:2020:BoNeSa,
author = "Gon{\c{c}}alves, Nathan Borges and Lopes, Aline Pontes and
Dalagnol da Silva, Ricardo and Wu, Jin and Pinho, Davieliton
Mesquita and Nelson, Bruce Walker",
affiliation = "{Instituto Nacional de Pesquisas da Amazonia (INPA)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {University of Hong
Kong} and {Instituto Nacional de Pesquisas da Amazonia (INPA)} and
{Instituto Nacional de Pesquisas da Amazonia (INPA)}",
title = "Both near-surface and satellite remote sensing confirm drought
legacy effect on tropical forest leaf phenology after 2015/2016
ENSO drought",
journal = "Remote Sensing of Environment",
year = "2020",
volume = "237",
pages = "e111489",
month = "Feb.",
keywords = "MODIS-MAIAC, Amazon green-up, EVI seasonality, Phenocam Leaf
demography, El Niño.",
abstract = "Amazon forest leaf phenology patterns have often been inferred
from the Moderate Resolution Imaging Spectroradiometer (MODIS)
Enhanced Vegetation Index (EVI). But reliable MODIS detection of
seasonal and interannual leaf phenology patterns has also been
questioned and is generally not validated with field observation.
Here we compare inter-annual patterns of local-scale upper canopy
leaf phenology and demography derived from tower-mounted phenocams
at two upland forest sites in the Central Amazon, to corresponding
satellite vegetation indices retrieved from MODIS-MAIAC
(Multi-Angle Implementation of Atmospheric Correction). We focus
on forest response to an unprecedented drought caused by the El
Niño of 2015-16. At both sites, multi-year phenocam data showed
post-drought shifts in leaf demography. These were consistent with
MODIS-MAIAC anomalies in two vegetation indices. Specifically, a
precocious leaf flush at both sites during the first two
post-drought months, Feb-Mar 2016, caused (1) an anomalous
decrease in flushing trees in JunJul of 2016 and (2) an increase
of trees with early mature stage leaves (2-4 mo age) in
Apr-May-Jun of 2016. At both sites, these two phenological
anomalies showed up in MODIS-MAIAC as, respectively, (1) a strong
negative anomaly in Gcc (Green chromatic coordinate), which prior
work has shown to be sensitive to the abundance of leaves 0-1 mo
old, and (2) a strong positive anomaly in EVI, which is sensitive
to abundance of leaves 2-4 mo age. A shift to sub-optimal seasonal
leaf age mix is expected to change the ecosystem-scale intrinsic
photosynthetic capacity for ~18 month after the drought.",
doi = "10.1016/j.rse.2019.111489",
url = "http://dx.doi.org/10.1016/j.rse.2019.111489",
issn = "0034-4257",
language = "en",
targetfile = "goncalves_both.pdf",
urlaccessdate = "03 maio 2024"
}