Banca de DEFESA: MAYCON PEIXOTO XAVIER

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : MAYCON PEIXOTO XAVIER
DATE: 26/05/2022
TIME: 09:00
LOCAL: Google Meet
TITLE:

Detecting changes in marine macroalgae banks through a time series of Landsat satellite images (TM/OLI) for the Brazilian Northeast.


KEY WORDS:

macroalgae; temporal analysis; intertidal environment; remote sensing.


PAGES: 56
BIG AREA: Ciências Biológicas
AREA: Ecologia
SUMMARY:

Macroalgae are an essential component of the marine ecosystem as a whole, as they support a large biodiversity while providing for a number of ecosystem services. Notwithstanding their ecological value, macroalgae are also a resource of increasing economic value. The goal of this study was to assess the evolution of macroalgal cover, their distribution as well as their biomass fluctuation along two beach areas located at the coastline of the Rio Grande do Norte State (Rio do Fogo and Baía Formosa beaches), focused on a multitemporal approach. Landsat 5 TM and Landsat 8 OLI satellite digital orbital images were used, covering approx. a 3 decade timespan (1991-2019). From the digital images, it was possible to identify different reef environments included in the total macroalgae coverage area, where the isodata classification separated the environments according to their macroalgae coverage characteristics and according to the degree of inundation in these areas. Concerning the total macroalgal coverage, the Rio do Fogo beach showed an 8% increase in size (from 27.27 ha to 29.34 ha), whereas the Baía Formosa beach showed a 30% decrease in size (from 12.24 ha to 8.55 ha). As to the total biomass, the Rio do Fogo area presented a 63% biomass increase (from 2.436 Kg to 3.967 Kg), vis-à-vis just a slight 19% increase (from 1.206 Kg to 1.438 Kg) at the Baía Formosa beach. Furthermore, it was found from an analysis of vegetation dynamics that the intermediate and lower intertidal zones concentrated the areas with significant reduction at both sites studied. In conclusion, this multitemporal study carried out showed that the use of remote sensing is an effective tool to track fluctuations in macroalgal cover and density, even in situations where field validation is not possible.


BANKING MEMBERS:
Presidente - 1279472 - ELIANE MARINHO SORIANO
Interno - ***.178.178-** - EDSON APARECIDO VIEIRA FILHO - UFRN
Externo à Instituição - MARCELO FRANCISCO DE NÓBREGA - UFRN
Notícia cadastrada em: 24/05/2022 13:59
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