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Ben Hur Marimon Junior

Researcher at Universidade do Estado de Mato Grosso

Publications -  62
Citations -  2112

Ben Hur Marimon Junior is an academic researcher from Universidade do Estado de Mato Grosso. The author has contributed to research in topics: Amazon rainforest & Biochar. The author has an hindex of 20, co-authored 57 publications receiving 1619 citations.

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Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites

Edward T. A. Mitchard, +85 more
TL;DR: Pantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases and carbon accounting techniques must be revised to account for the known ecological variation in tree wood density and allometry.
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Diversity and carbon storage across the tropical forest biome

Martin J. P. Sullivan, +124 more
- 17 Jan 2017 - 
TL;DR: In this article, a pan-tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests.
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Comparação da vegetação arbórea e características edáficas de um cerradão e um cerrado sensu stricto em áreas adjacentes sobre solo distrófico no leste de Mato Grosso, Brasil

TL;DR: The fertility of the soils of the two areas was not different to support the hypothesis that the occurrence of the cerradao was due to the higher fertility of its soil, which could result in a higher availability of water throughout the year for the trees.
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Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models

Michelle O. Johnson, +81 more
TL;DR: It is found that woody NPP is not correlated with stem mortality rates and is weakly positively correlated with AGB, and across the four models, basin‐wide average AGB is similar to the mean of the observations.
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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.