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Eddie Lenza

Researcher at Universidade do Estado de Mato Grosso

Publications -  72
Citations -  2346

Eddie Lenza is an academic researcher from Universidade do Estado de Mato Grosso. The author has contributed to research in topics: Vegetation & Species richness. The author has an hindex of 22, co-authored 69 publications receiving 2027 citations. Previous affiliations of Eddie Lenza include University of Brasília & Mato Grosso State University.

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Height-diameter allometry of tropical forest trees

Ted R. Feldpausch, +60 more
- 05 May 2011 - 
TL;DR: In this article, the authors developed a new global tropical forest database consisting of 39 955 concurrent H and D measurements encompassing 283 sites in 22 tropical countries, and used this database to determine if H:D relationships differ by geographic region and forest type (wet to dry forests, including zones of tension where forest and savanna overlap).
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Tree height integrated into pantropical forest biomass estimates

Ted R. Feldpausch, +87 more
- 27 Aug 2012 - 
TL;DR: In this article, the effect of tree height (H) on tropical forest biomass and carbon storage estimates was investigated using data from 20 sites across four continents, and the results showed that tree H is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of tropical carbon stocks and emissions.
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Comportamento fenológico de espécies lenhosas em um cerrado sentido restrito de Brasília, DF

TL;DR: Exogenous factors, as well as exogenous factors such as evaporative demand and irradiation seem to influence the phenological patterns observed in this vegetation, which is a seasonal semi-deciduous wood savanna in Brasilia, Federal District, Brazil.
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On the delineation of tropical vegetation types with an emphasis on forest/savanna transitions

TL;DR: In this article, the authors integrated observed variations in tropical vegetation structure and floristic composition into a single classification scheme by using clustering techniques to identify twelve structural groupings based on height and canopy cover of the dominant upper stratum.