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Assessment of climate change impacts on the biomass and carbon dynamics in the Amazon

Grant number: 15/22987-7
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): May 01, 2016
Effective date (End): March 31, 2020
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Luiz Eduardo Oliveira e Cruz de Aragão
Grantee:Ricardo Dal'Agnol da Silva
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil
Associated scholarship(s):17/15257-8 - Detection of tree mortality using high resolution optical imagery for assessment of spatial and temporal patterns of forest dynamics and carbon in Amazon Forest, BE.EP.DR

Abstract

The Amazon rainforest has proven crucial in the global climate feedback, acting as a strong carbon sink. However, empirical data show a decrease in carbon sequestration associated with increased tree mortality, which, in turn, may be associated with the climate variability. Nevertheless, it have not been found in the literature studies that address tree mortality mapping in Amazon level and a spatiotemporal investigation of its association with extreme weather events. The project aims to develop a multi-scale methodology for estimating dead biomass across the Amazon using remote sensing data and spectral mixture modeling techniques. The objective is to evaluate the impact of climate change on the biomass and carbon balance in Amazon related to tree mortality. Quantification of dead biomass will be evaluated on the scaling of field data (inventory data from the Amazon Forest Inventory Network - RAINFOR) to high spatial resolution Landsat images and medium spatial resolution MODIS images. We intend to answer the following questions: (1) how accurately is it possible to quantify the dead biomass using remote sensed data and for how long after the mortality event the dead biomass signal remain detectable; (2) is there a significant difference in the amount of dead biomass between "normal" years and years of extreme drought, such as 2005 and 2010; (3) is there significant difference in tree mortality between secondary successions and primary forest areas; and (4) how did tree mortality dynamics went in the past few decades in Amazon.

Scientific publications (5)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
FONSECA, LETICIA D. M.; DALAGNOL, RICARDO; MALHI, YADVINDER; RIFAI, SAMI W.; COSTA, GABRIEL B.; SILVA, THIAGO S. F.; DA ROCHA, HUMBERTO R.; TAVARES, IANE B.; BORMA, LAURA S. Phenology and Seasonal Ecosystem Productivity in an Amazonian Floodplain Forest. REMOTE SENSING, v. 11, n. 13 JUL 1 2019. Web of Science Citations: 0.
SILVA JUNIOR, CELSO H. L.; ANDERSON, LIANA O.; SILVA, ALINDOMAR L.; ALMEIDA, CATHERINE T.; DALAGNOL, RICARDO; PLETSCH, MIKHAELA A. J. S.; PENHA, THALES V.; PALOSCHI, RENNAN A.; ARAGAO, LUIZ E. O. C. Fire Responses to the 2010 and 2015/2016 Amazonian Droughts. Frontiers in Earth Science, v. 7, MAY 15 2019. Web of Science Citations: 1.
DALAGNOL, RICARDO; PHILLIPS, OLIVER L.; GLOOR, EMANUEL; GALVAO, LENIO S.; WAGNER, FABIEN H.; LOCKS, CHARTON J.; ARAGAO, LUIZ E. O. C. Quantifying Canopy Tree Loss and Gap Recovery in Tropical Forests under Low-Intensity Logging Using VHR Satellite Imagery and Airborne LiDAR. REMOTE SENSING, v. 11, n. 7 APR 1 2019. Web of Science Citations: 1.
DE MOURA, YHASMIN MENDES. . PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, v. 373, n. 1760 NOV 19 2018. Web of Science Citations: 5.
DALAGNOL, RICARDO; WAGNER, FABIEN HUBERT; GALVAO, LENIO SOARES; NELSON, BRUCE WALKER; DE ARAGAO, LUIZ EDUARDO OLIVEIRA E CRUZ. Life cycle of bamboo in the southwestern Amazon and its relation to fire events. BIOGEOSCIENCES, v. 15, n. 20, p. 6087-6104, OCT 18 2018. Web of Science Citations: 2.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.