10.5061/DRYAD.2280GB5TW
Bauer, Barbara
0000-0001-9286-011X
German Center for Integrative Biodiversity Research
Berti, Emilio
German Center for Integrative Biodiversity Research
Ryser, Remo
German Center for Integrative Biodiversity Research
Gauzens, Benoit
German Center for Integrative Biodiversity Research
Hirt, Myriam
German Center for Integrative Biodiversity Research
Rosenbaum, Benjamin
German Center for Integrative Biodiversity Research
Digel, Christoph
German Federal Environment Agency
Ott, David
University of Münster
Scheu, Stefan
University of Göttingen
Brose, Ulrich
German Center for Integrative Biodiversity Research
Biotic filtering by species’ interactions constrains food-web variability
across spatial and abiotic gradients
Dryad
dataset
2022
FOS: Biological sciences
Deutsche Forschungsgemeinschaft
https://ror.org/018mejw64
FOR 2716
Deutsche Forschungsgemeinschaft
https://ror.org/018mejw64
RTG 2010
Deutsche Forschungsgemeinschaft
https://ror.org/018mejw64
FZT 118
German Center for Integrative Biodiversity Research
2022-03-08T00:00:00Z
2022-03-08T00:00:00Z
en
https://doi.org/10.5281/zenodo.6347693
46543146 bytes
3
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Despite intensive research on species dissimilarity patterns across
communities (i.e. beta-diversity), we still know little about their
implications for variation in food-web structures. Our analyses of 50 lake
and 48 forest soil communities show that, while species dissimilarity
depends on environmental and spatial gradients, these effects are only
weakly propagated to the networks. Moreover, our results show that species
and food-web dissimilarities are consistently correlated, but that much of
the variation in food-web structure across spatial, environmental, and
species gradients remains unexplained. Novel food-web assembly models
demonstrate the importance of biotic filtering during community assembly
by (1) the availability of resources, and (2) limiting similarity in
species’ interactions to avoid strong niche overlap and thus competitive
exclusion. This reveals a strong signature of biotic filtering processes
during local community assembly, which constrains the variability in
structural food-web patterns across local communities despite substantial
turnover in species composition.
This archive contains the data and scripts necessary to reproduce the
statistical analyses of the study Biotic filtering by species’
interactions constrains food-web variability across spatial and abiotic
gradients. Food-web and environmental data were obtained from the GATEWAy
(1.0) database: https://idata.idiv.de/ddm/Data/ShowData/283?version=3.
Food-web topolgical metrics were calculated using the script allMetBB.R.
Jaccard dissimilarity was calculated using the R package vegan. Structural
Equation Models (SEMs) were performed using the R package lavaan. This
archive contains also the script src/sampling-error.R, which reproduce
potential sampling errors in species composition through a Monte Carlo
approach. The data file data/samling-error.csv contains the raw data
generated from the Monte Carlo and can be loaded to reproduce the
sensitivity analyses. The script SEM_bootstrap.R reproduces the bootstrap
analyses for the SEMs.
Data files have .csv extensions or .RData extension. All R scripts have .R
extension. To save all plots, first create the subfolder plots in this
directory. The script simulations.R is very resource intensive and
requires a long time to complete; to skip this, simply load the results
already saved in simluations.csv.