@Article{RezendeCVRSPVTSRC:2022:ImLaUs,
author = "Rezende, Luiz Felipe Campos de and Castro, Aline Anderson de and
Von Randow, Celso and Ruscica, Romina and Sakschewski, Boris and
Papastefanou, Phillip and Viovy, Nicolas and Thonicke, Kirsten and
S{\"o}rensson, Anna and Rammig, Anja and Cavalcanti, Iracema
Fonseca de Albuquerque",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidad de Buenos Aires} and
{Potsdam Institute for Climate Impact Research (PIK)} and
{Technical University of Munich (TUM)} and {Le Laboratoire des
Sciences du Climat et de l'Environnement (LSCE)} and {Potsdam
Institute for Climate Impact Research (PIK)} and {Universidad de
Buenos Aires} and {echnical University of Munich (TUM)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Impacts of Land Use Change and Atmospheric CO2 on Gross Primary
Productivity (GPP), Evaporation, and Climate in Southern Amazon",
journal = "Journal of Geophysical Research: Atmospheres",
year = "2022",
volume = "127",
number = "8",
pages = "e2021JD034608",
month = "Apr.",
keywords = "Amazon, atmospheric CO2 elevated, climate changes, dynamic global
vegetation models (DGVMs).",
abstract = "Recent publications indicate that the Amazon may be acting more as
a carbon source than a sink in some regions. Moreover, the Amazon
is a source of moisture for other regions in the continent, and
deforestation over the years may be reducing this function. In
this work, we analyze the impacts of elevated CO2 (eCO2) and land
use change (LUC) on gross primary productivity (GPP) and
evaporation in the southern Amazon (7°S 14°S, 66°W 51°W), which
suffered strong anthropogenic influence in the period of
1981\‒2010. We ran four dynamic global vegetation models
(DGVMs), isolating historical CO2, constant CO2, LUC, and
potential natural vegetation scenarios with three climate variable
data sets: precipitation, temperature, and shortwave radiation. We
compared the outputs to five observational data sets obtained
through eddy covariance, remote sensing, meteorological
measurements, and machine learning. The results indicate that eCO2
may have offset deforestation, with GPP increasing by
\∼13.5% and 9.3% (dry and rainy seasons, respectively).
After isolating the LUC effect, a reduction in evaporation of
\∼4% and \∼1.2% (dry and rainy seasons,
respectively) was observed. The analysis of forcings in subregions
under strong anthropogenic impact revealed a reduction in
precipitation of \∼15 and 30 mm, and a temperature rise of
1°C and 0.6°C (dry and rainy seasons, respectively). Differences
in the implementation of plant physiology and leaf area index in
the DGVMs introduced some uncertainties in the interpretation of
the results. Nevertheless, we consider that it was an important
exercise given the relevance.",
doi = "10.1029/2021JD034608",
url = "http://dx.doi.org/10.1029/2021JD034608",
issn = "2169-8996 and 2169-897X",
language = "en",
targetfile = "JGR Atmospheres - 2022 - Rezende - Impacts of Land Use Change and
Atmospheric CO2 on Gross Primary Productivity GPP .pdf",
urlaccessdate = "25 jun. 2024"
}