10.5061/DRYAD.P8CZ8W9MS
Urabe, Jotaro
0000-0001-5111-687X
Tohoku University
Kazama, Takehiro
Tohoku University
Yamamichi, Masato
University of Tokyo
Tokita, Kotaro
Tohoku University
Yin, Xuwang
Dalian Ocean University
Katano, Izumi
Nara Women's University
Doi, Hideyuki
University of Hyogo
YOSHIDA, Takehito
Research Institute for Humanity and Nature
Hairston, Nelson
Cornell University
Raw data used in A unified framework for herbivore-to-producer biomass
ratio reveals the relative influence of four ecological factor
Dryad
dataset
2020
FOS: Biological sciences
Japan Society for the Promotion of Science
https://ror.org/00hhkn466
15H02642
Japan Society for the Promotion of Science
https://ror.org/00hhkn466
20H03315
Japan Society for the Promotion of Science
https://ror.org/00hhkn466
18H02509
Japan Society for the Promotion of Science
https://ror.org/00hhkn466
16H04846
Japan Society for the Promotion of Science
https://ror.org/00hhkn466
16K18618
Japan Society for the Promotion of Science
https://ror.org/00hhkn466
16H02522
2021-11-19T00:00:00Z
2021-04-10T00:00:00Z
en
https://doi.org/10.1038/s42003-020-01587-9
5929313 bytes
21
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The biomass ratio of herbivores to primary producers reflects the
structure of a community. Four primary factors have been proposed to
affect this ratio, including production rate, defense traits and nutrient
contents of producers, and predation by carnivores. However, identifying
the joint effects of these factors across natural communities has been
elusive, in part because of the lack of a framework for examining their
effects simultaneously. Here, we develop a framework based on
Lotka-Volterra equations for examining the effects of these factors on the
biomass ratio. We then utilize it to test if these factors simultaneously
affect the biomass ratio of freshwater plankton communities. We found that
all four factors contributed significantly to the biomass ratio, with
carnivore abundance having the greatest effect, followed by producer
stoichiometric nutrient content. Thus, the present framework should be
useful for examining the multiple factors shaping various types of
communities, both aquatic and terrestrial.