10.5061/DRYAD.RXWDBRV8W
Mariano, Eduardo
0000-0001-5566-1920
University of Sao Paulo
Gomes, Taciana
University of Sao Paulo
Lins, Silvia
University of Sao Paulo
Abdalla-Filho, Adibe
University of Sao Paulo
Soltangheisi, Amin
University of Sao Paulo
Araújo, Maria
University of Sao Paulo
Almeida, Rodrigo
University of Sao Paulo
Augusto, Fernanda
University of Sao Paulo
Canisares, Luiza
University of Sao Paulo
Chaves, Siglea
University of Sao Paulo
Costa, Cristiane
University of Sao Paulo
Diniz-Reis, Thaís
University of Sao Paulo
Galera, Leonardo
Universität Hamburg
Martinez, Melissa
University of Sao Paulo
Morais, Maristela
University of Sao Paulo
Perez, Elen
University of Sao Paulo
Reis, Lucas
University of Sao Paulo
Simon, Carla
University of Sao Paulo
Mardegan, Silvia
Federal University of Para
Domingues, Tomas
University of Sao Paulo
Miatto, Raquel
University of Sao Paulo
Oliveira, Rafael
State University of Campinas
Reis, Carla
Oregon State University
Nardoto, Gabriela
University of Brasília
Kattge, Jens
Max Planck Institute for Biogeochemistry
Martinelli, Luiz
University of Sao Paulo
LT-Brazil: A database of leaf traits across biomes and vegetation types in
Brazil
Dryad
dataset
2021
leaf mass per area
leaf nitrogen
leaf phosphorus
leaf N:P ratio
climatic parameters
Chemical soil properties
woody species
Leaf traits
FOS: Natural sciences
São Paulo Research Foundation
https://ror.org/02ddkpn78
2011/50384-4
São Paulo Research Foundation
https://ror.org/02ddkpn78
2013/09800-0
São Paulo Research Foundation
https://ror.org/02ddkpn78
2015/18790-3
São Paulo Research Foundation
https://ror.org/02ddkpn78
2015/50488-5
2021-09-03T00:00:00Z
2021-09-03T00:00:00Z
en
https://doi.org/10.1111/geb.13381
https://doi.org/10.5281/zenodo.5164108
https://doi.org/10.5281/zenodo.5164106
121972 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Motivation: Leaf traits represent an important component of plant
functional strategies, and those related to carbon fixation and nutrient
acquisition form the leaf economics spectrum. However, observations of
functional leaf traits are underrepresented in tropical regions in
comparison with those in temperate areas. Brazil, a country with
continental scale and vast biodiversity is a timely example, where many
biomes are impacted by human activities and climate change. However, leaf
traits relevant to understand vegetation responses to these impacts remain
poorly quantified for many species found in the country. We compiled an
extensive data set of four functional leaf traits for native woody species
occurring in the Brazilian territory. In addition to trait observations,
sampling dates and geo-references were compiled and climatic parameters
and soil properties of each sampling site were extracted from several
databases. Main types of variables contained: The LT-Brazil data set
contains 3479, 1216, 775, and 775 clean observations of leaf mass per
area, leaf nitrogen (N) concentration per unit mass, leaf phosphorus (P)
concentration per unit mass, and leaf N : P ratio, respectively, from
native woody species, encompassing information of biome, vegetation,
taxonomic data, geographical coordinates, climatic parameters, as well as
soil properties. Spatial location and grain: We compiled trait
observations from 223 sites under native vegetation distributed in all
main biomes (i.e., Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa, and
Pantanal) across the Brazilian territory. Time period and grain: The data
represent information published and/or sampled during the last 25 years.
Major taxa and level of measurement: Our compilation was focused on trait
data observed for native woody species, excluding monocots, palm trees,
herbs, and hemiparasitic plants. Thus, 108, 478, and 1321 botanical
families, genera, and species were included, covering c. 9% of the woody
angiosperm flora of Brazil. Software format: Data are provided as
comma-separated value (.csv) files.
For the latest version of the LT-Brazil data set, please visit our
permanent repository at Zenodo (https://doi.org/10.5281/zenodo.4574445).