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LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil

Authors: Eduardo Mariano; Jens Kattge; Luiz A. Martinelli;

LT-Brazil: A database of leaf traits across biomes and vegetation types in Brazil

Abstract

The LT-Brazil data set contains observations of leaf mass per area, leaf N and P concentration per unit mass, and leaf N:P ratio from native woody species across the Brazilian territory, encompassing information of biome, vegetation, taxonomic data, geographical coordinates, climatic parameters, as well as soil properties. We compiled data from 227 sites in native vegetation distributed across all biomes (i.e., Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa, and Pantanal) found in Brazil. Our compilation was focused on native woody plants (i.e., trees, shrubs, and lianas), excluding monocots, palm trees, herbs, and hemiparasitic plants. Thus, 103, 470, and 1327 botanical families, genera, and species were included. Unidentified or mixed species were also considered when met our eligibility criteria.

This work was funded by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; grant #2011/50384-4, #2013/09800-0, #2015/18790-3, and #2015/50488-5). The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported here.

Keywords

Biome, Leaf economics spectrum, Vegetation type, Brazil, Plant trait

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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