Yhasmin Moura

Dr. Yhasmin Moura


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 October 2014 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
THThomas Hilker
Thomas Hilker
ALAlexei I. Lyapustin
Alexei I. Lyapustin
CTCompton J. Tucker
Compton J. Tucker
FHForrest G. Hall
Forrest G. Hall
RMRanga Myneni
Ranga Myneni
PSPiers J. Sellers
Piers J. Sellers
Significance: Understanding the sensitivity of tropical vegetation to changes in precipitation is of key importance for assessing the fate of the Amazon rainforest and predicting atmospheric CO2levels. Using improved satellite observations, we reconcile observational and modeling studies by showing that tropical vegetation is highly sensitive to changes in precipitation and El Niño events. Our results show that, since the year 2000, the Amazon forest has declined across an area of 5.4 million km2as a result of well-described reductions in rainfall. We conclude that, if drying continues across Amazonia, which is predicted by several global climate models, this drying may accelerate global climate change through associated feedbacks in carbon and hydrological cycles.

1 September 2011 in Remote Sensing of Environment
Verified
Journal Article
Closed access
LGLenio Soares Galvao
Lenio Soares Galvao
JSJoão Roberto dos Santos
João Roberto dos Santos
DRDar A. Roberts
Dar A. Roberts
Fábio Marcelo BreunigFábio Marcelo Breunig
Fábio Marcelo Breunig
MTMichael Toomey
Michael Toomey
YMYhasmin Moura
Yhasmin Moura

8 October 2018 in Philosophical Transactions of the Royal Society B: Biological Sciences
Verified
Journal Article
Closed access
PDF file
Liana AndersonLiana Anderson
Liana Anderson
GNGermano Ribeiro Neto
Germano Ribeiro Neto
Ana Paula M A CunhaAna Paula M A Cunha
Ana Paula M A Cunha
MFMarisa Fonseca
Marisa Fonseca
YMYhasmin Moura
Yhasmin Moura
Luiz AragaoLuiz Aragao
Luiz Aragao
Extreme droughts have been recurrent in the Amazon over the past decades, causing socio-economic and environmental impacts. Here, we investigate the vulnerability of Amazonian forests, both undisturbed and human-modified, to repeated droughts. We defined vulnerability as a measure of (i) exposure, which is the degree to which these ecosystems were exposed to droughts, and (ii) its sensitivity, measured as the degree to which the drought has affected remote sensing-derived forest greenness. The exposure was calculated by assessing the meteorological drought, using the standardized precipitation index (SPI) and the maximum cumulative water deficit (MCWD), which is related to vegetation water stress, from 1981 to 2016. The sensitivity was assessed based on the enhanced vegetation index anomalies (AEVI), derived from the newly available Moderate Resolution Imaging Spectroradiometer (MODIS)/Multi-Angle Implementation of Atmospheric Correction algorithm (MAIAC) product, from 2003 to 2016, which is indicative of forest's photosynthetic capacity. We estimated that 46% of the Brazilian Amazon biome was under severe to extreme drought in 2015/2016 as measured by the SPI, compared with 16% and 8% for the 2009/2010 and 2004/2005 droughts, respectively. The most recent drought (2015/2016) affected the largest area since the drought of 1981. Droughts tend to increase the variance of the photosynthetic capacity of Amazonian forests as based on the minimum and maximum AEVI analysis. However, the area showing a reduction in photosynthetic capacity prevails in the signal, reaching more than 400 000 km 2 of forests, four orders of magnitude larger than areas with AEVI enhancement. Moreover, the intensity of the negative AEVI steadily increased from 2005 to 2016. These results indicate that during the analysed period drought impacts were being exacerbated through time. Forests in the twenty-first century are becoming more vulnerable to droughts, with larger areas intensively and negatively responding to water shortage in the region. This article is part of a discussion meeting issue ‘The impact of the 2015/2016 El Niño on the terrestrial tropical carbon cycle: patterns, mechanisms and implications’.

8 February 2021 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
EMEduardo Maeda
Eduardo Maeda
TATemesgen Abera
Temesgen Abera
MSMika Siljander
Mika Siljander
LALuiz E. O. C. Aragão
Luiz E. O. C. Aragão
YMYhasmin Moura
Yhasmin Moura
JHJanne Heiskanen
Janne Heiskanen
Significance: The southern Amazon is one of the fastest changing places on Earth. Deforestation is giving place to a dynamic and diverse landscape, comprising small-scale farmers and large-scale commercial agriculture with differing land uses. Understanding how these different land uses affect ecosystems and local climates is essential for promoting strategies to mitigate environmental changes. Here, we show that large-scale commercial agriculture leads to a higher increase in surface temperature, in comparison with small-scale farms. We also found evidence that changes in land surface attributes over large commercial farms lead to a more prominent reduction in rainfall volumes. Our results provide compelling arguments indicating that changes in farming practices are needed to guaranty a sustainable future in the Amazon region.

1 September 2017 in ISPRS Journal of Photogrammetry and Remote Sensing
Verified
Journal Article
Closed access
YMYhasmin Moura
Yhasmin Moura
LGLenio Soares Galvao
Lenio Soares Galvao
THThomas Hilker
Thomas Hilker
JWJin Wu
Jin Wu
SSScott Saleska
Scott Saleska
LALuiz E.O.C. Aragão
Luiz E.O.C. Aragão

1 April 2013 in International Journal of Applied Earth Observation and Geoinformation
Verified
Journal Article
Closed access
LGLenio Soares Galvao
Lenio Soares Galvao
Fábio Marcelo BreunigFábio Marcelo Breunig
Fábio Marcelo Breunig
JSJoão Roberto dos Santos
João Roberto dos Santos
YMYhasmin Moura
Yhasmin Moura