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Michel Nobre Muza

Researcher at Santa Catarina Federal Institute of Education, Science and Technology

Publications -  7
Citations -  362

Michel Nobre Muza is an academic researcher from Santa Catarina Federal Institute of Education, Science and Technology. The author has contributed to research in topics: Eddy covariance & Amazon rainforest. The author has an hindex of 4, co-authored 6 publications receiving 319 citations. Previous affiliations of Michel Nobre Muza include University of Maryland, College Park.

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Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado

Bradley O. Christoffersen, +38 more
TL;DR: In this article, the authors used a network of eddy covariance towers in Brazil coupled with ancillary measurements to address two main questions: first, how do mechanisms of water supply (indicated by root depth and groundwater) and vegetation water demand (defined by stomatal conductance and intrinsic water use efficiency) control evapotranspiration (E) along broad gradients of climate and vegetation from equatorial Amazonia to Cerrado, and how do these inferred mechanisms of supply and demand compare to those employed by a suite of ecosystem models?
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Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)

TL;DR: The LBA Data Model Intercomparison Project (LBA-DMIP) uses a comprehensive data set from an observational network of flux towers across the Amazon, and an ecosystem modeling community engaged in ongoing studies using a suite of different land surface and terrestrial ecosystem models to understand Amazon forest function.
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Inter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models

TL;DR: In this article, the authors analyzed the inter-annual variability of simulations of 21 different land surface model formulations, driven by meteorological conditions measured at 8 flux towers, located in rain forest, forest-savanna ecotone and pasture sites in Amazonia, and one in savanna site in Southeastern Brazil.
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Relação entre a disponibilidade hídrica na bacia hidrográfica do Rio Irani, localizada no oeste de Santa Catarina, região Sul do Brasil e a cobertura vegetal das biomas Amazônia, Pantanal e Mata Atlântica

TL;DR: In this paper, the authors analyzed the Irani River in the municipality of Chapeco in southern Brazil and identified the relationship between the vegetation cover of the Amazon, Pantanal, and Mata Atlântica Biomes with data from a fluviometric station West of Santa Catarina, southern Brazil.