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Modeling of the spatial dynamics of macrophyte communities in the Amazon floodplain

Grant number: 10/11269-2
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): December 01, 2010
Effective date (End): August 31, 2013
Field of knowledge:Biological Sciences - Ecology - Ecosystems Ecology
Principal Investigator:Evlyn Márcia Leão de Moraes Novo
Grantee:Thiago Sanna Freire Silva
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil

Abstract

Macrophyte communities correspond to one of the most important components of the Amazon floodplain, actively participating in the ecological and biogeochemical processes of the várzea ecosystem. In addition, these plants are the most variable vegetation type in the Amazon floodplain, as well as the most susceptible to changes in the environmental and climatic conditions in the Amazon wetlands. For this reason, modeling and monitoring methods capable of capturing such variability are necessary, in order to evaluate different scenarios of environmental alteration, and its effects on the ecology and economy of the floodplain. In this context, the presented project aims to develop a spatial dynamic model, capable of simulating the growth and distribution of macrophytes in habitats of the Amazon várzea, as a function of climatic and environmental conditions. To this end, the project will use historical satellite imagery time series from multiple sensors (Radarsat, ALOS Palsar, MODIS, Landsat, CBERS), and a large database of the environmental conditions of the amazon floodplain, for the Curuai Lake region. This region represents one of the main floodplain landscapes in the region, under varying levels of human degradation. This data will be complemented by new field sampling, optimized for the proposed study, and submitted to various dynamic spatial modeling techniques. The expect results will allow for a better understanding of the relationship between macrophyte dynamics and environmental conditions, and the evaluation of possible consequences of climate change and human impacts on these communities, allowing the development of adaptation and conservation strategies for the region.

Scientific publications (8)
(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)
DE ALMEIDA FURTADO, LUIZ FELIPE; FREIRE SILVA, THIAGO SANNA; LEDO DE MORAES NOVO, EVLYN MARCIA. Dual-season and full-polarimetric C band SAR assessment for vegetation mapping in the Amazon varzea wetlands. REMOTE SENSING OF ENVIRONMENT, v. 174, p. 212-222, MAR 1 2016. Web of Science Citations: 26.
DE ALMEIDA FURTADO, LUIZ FELIPE; FREIRE SILVA, THIAGO SANNA; FARIAS FERNANDES, PEDRO JOSE; LEDO DE MORAES NOVO, EVLYN MARCIA. Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques. Acta Amazonica, v. 45, n. 2, p. 195-202, JUN 2015. Web of Science Citations: 10.
LUIZE, BRUNO G.; SILVA, THIAGO S. F.; WITTMANN, FLORIAN; ASSIS, RAFAEL L.; VENTICINQUE, EDUARDO M. Effects of the Flooding Gradient on Tree Community Diversity in Varzea Forests of the Purus River, Central Amazon, Brazil. Biotropica, v. 47, n. 2, p. 137-142, MAR 2015. Web of Science Citations: 7.
FERREIRA-FERREIRA, JEFFERSON; FREIRE SILVA, THIAGO SANNA; STREHER, ANNIA SUSIN; AFFONSO, ADRIANA GOMES; DE ALMEIDA FURTADO, LUIZ FELIPE; FORSBERG, BRUCE RIDER; VALSECCHI, JOO; QUEIROZ, HELDER LIMA; LEAO DE MORAES NOVO, EVLYN MARCIA. Combining ALOS/PALSAR derived vegetation structure and inundation patterns to characterize major vegetation types in the Mamiraua Sustainable Development Reserve, Central Amazon floodplain, Brazil. WETLANDS ECOLOGY AND MANAGEMENT, v. 23, n. 1, SI, p. 41-59, FEB 2015. Web of Science Citations: 19.
FRAGAL, EVERTON HAFEMANN; FREIRE SILVA, THIAGO SANNA; DE MORAES NOVO, EVLYN MARCIA LEAO. Reconstructing historical forest cover change in the Lower Amazon floodplains using the LandTrendr algorithm. Acta Amazonica, v. 46, n. 1, p. 13-24, JAN-MAR 2015. Web of Science Citations: 9.
MONTANHER, OTAVIO C.; NOVO, EVLYN M. L. M.; BARBOSA, CLAUDIO C. F.; RENNO, CAMILO D.; SILVA, THIAGO S. F. Empirical models for estimating the suspended sediment concentration in Amazonian white water rivers using Landsat 5/TM. International Journal of Applied Earth Observation and Geoinformation, v. 29, p. 67-77, JUN 2014. Web of Science Citations: 26.
SILVA, THIAGO S. F.; MELACK, JOHN M.; NOVO, EVLYN M. L. M. Responses of aquatic macrophyte cover and productivity to flooding variability on the Amazon floodplain. GLOBAL CHANGE BIOLOGY, v. 19, n. 11, p. 3379-3389, NOV 2013. Web of Science Citations: 17.
ARNESEN, ALLAN S.; SILVA, THIAGO S. F.; HESS, LAURA L.; NOVO, EVLYN M. L. M.; RUDORFF, CONRADO M.; CHAPMAN, BRUCE D.; MCDONALD, KYLE C. Monitoring flood extent in the lower Amazon River floodplain using ALOS/PALSAR ScanSAR images. REMOTE SENSING OF ENVIRONMENT, v. 130, p. 51-61, MAR 15 2013. Web of Science Citations: 57.

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