Science Service System

Summary of Proposal LAN2449

TitleMapping invasive species Vochysia divergens in relation to flooding gradient in the Pantanal Region, Brazil
Investigator NUNES, GUSTAVO - FEDERAL UNIVERSITY OF MATO GROSSO, FOREST ENGINEERING
Team Members
MR Fernandes, Alan - FEDERAL UNIVERSITY OF MATO GROSSO, FOREST ENGINEERING
Mrs Cunha, Cátia - FEDERAL UNIVERSITY OF MATO GROSSO, Ecology and Botanics
MR SILVA, THIAGO - São Paulo State University (UNESP), Geography Department
SummaryThe Pantanal Biome is considered the biggest floodplain ecosystem in the world. Its lowslope contributes to a hard surface runoff, so there is an accumulation of water, allowingthe occurrence of seasonal flooding. Such floods are given in gradients which feature varioussub-regional ecosystems with distinct ecological, hydrological and geological characteristicsdistinct, but in particular, a great diversity of terrestrial and aquatic plants adapted to annual transition from dry to flooded stage. One species in particular, Vochysia divergens (commonlyknown as cambará) raises the concern of researchers for its dominance, and it is considered an invasive species. It is resistant to flood periods, and could potentially decrease the biodiversityof the areas it occupies, as well as modify the soil chemistry. This study aims to investigate theadvance of this species in relation to the flood gradient throughout the year in the region ofPirizal, in the northern part of the Pantanal, in Mato Grosso-Brazil, and to examine whetherthe cambará community respond to the flood gradient. Thus, it is proposed the mapping of the colonization of this species associated with the flood pulse and its gradients. In order toachieve that, a survey of community structure cambará will be conducted using a classification model from the values ​​of the backscattering coefficient of microwave multitemporal high-resolution data TerraSAR-X Spotlight Staring (ST). In support, altimetric coordinates collectionswill be made from the use of geodetic GPS allowing the generation of Digital Terrain Models(DTM) and association with gradients of flooding, aiming higher accuracy mapping.

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