@Article{BispoBMSSREAXB:2017:DrMeSt,
author = "Bispo, Polyanna da Concei{\c{c}}{\~a}o and Balzter, Heiko and
Malhi, Yadvinder and Slik, J. W. Ferry and Santos, Jo{\~a}o
Roberto dos and Renn{\'o}, Camilo Daleles and Esp{\'{\i}}rito
Santo, Fernando D. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz
de and Ximenes, Arimat{\'e}a C. and Bispo, Pit{\'a}goras da
Concei{\c{c}}{\~a}o",
affiliation = "{University of Leicester} and {University of Leicester} and
{University of Oxford} and {Universiti Brunei Darussalam} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Lancaster University}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universit{\'e} Libre de Bruxelles} and {Universidade Estadual
Paulista (UNESP)}",
title = "Drivers of metacommunity structure diverge for common and rare
Amazonian tree species",
journal = "PLoS One",
year = "2017",
volume = "12",
number = "11",
pages = "e0188300.",
month = "Nov.",
abstract = "We analysed the flora of 46 forest inventory plots (25 m x 100 m)
in old growth forests from the Amazonian region to identify the
role of environmental (topographic) and spatial variables
(obtained using PCNM, Principal Coordinates of Neighbourhood
Matrix analysis) for common and rare species. For the analyses, we
used multiple partial regression to partition the specific effects
of the topographic and spatial variables on the univariate data
(standardised richness, total abundance and total biomass) and
partial RDA (Redundancy Analysis) to partition these effects on
composition (multivariate data) based on incidence, abundance and
biomass. The different attributes (richness, abundance, biomass
and composition based on incidence, abundance and biomass) used to
study this metacommunity responded differently to environmental
and spatial processes. Considering standardised richness, total
abundance (univariate) and composition based on biomass, the
results for common species differed from those obtained for all
species. On the other hand, for total biomass (univariate) and for
compositions based on incidence and abundance, there was a
correspondence between the data obtained for the total community
and for common species. Our data also show that in general,
environmental and/or spatial components are important to explain
the variability in tree communities for total and common species.
However, with the exception of the total abundance, the
environmental and spatial variables measured were insufficient to
explain the attributes of the communities of rare species. These
results indicate that predicting the attributes of rare tree
species communities based on environmental and spatial variables
is a substantial challenge. As the spatial component was relevant
for several community attributes, our results demonstrate the
importance of using a metacommunities approach when attempting to
understand the main ecological processes underlying the diversity
of tropical forest communities.",
doi = "10.1371/journal.pone.0188300",
url = "http://dx.doi.org/10.1371/journal.pone.0188300",
issn = "1932-6203",
language = "en",
targetfile = "bispo_drivers.pdf",
urlaccessdate = "27 abr. 2024"
}