10.25349/D9M038
Miller-ter Kuile, Ana
0000-0003-2599-5158
University of California, Santa Barbara
Apigo, Austen
University of California, Santa Barbara
Bui, An
University of California, Santa Barbara
DiFiore, Bartholomew
University of California, Santa Barbara
Forbes, Elizabeth
University of California, Santa Barbara
Lee, Michelle
University of California, Santa Barbara
Orr, Devyn
University of California, Santa Barbara
Preston, Daniel
Colorado State University
Behm, Rachel
University of California, Santa Barbara
Bogar, Taylor
University of Hong Kong
Childress, Jasmine
University of California, Santa Barbara
Dirzo, Rodolfo
Stanford University
Klope, Maggie
University of California, Santa Barbara
Lafferty, Kevin
US Geological Survey
McLaughlin, John
University of California, Santa Barbara
Morse, Marisa
University of California, Santa Barbara
Motta, Carina
University of California, Santa Barbara
Park, Kevin
University of California, Santa Barbara
Plummer, Katherine
Stanford University
Weber, David
Stanford University
Young, Ronald
University of California, Santa Barbara
Young, Hillary
University of California, Santa Barbara
Data from: Predator-prey Interactions of Terrestrial Invertebrates are
Determined by Predator Body Size and Species Identity
Dryad
dataset
2021
invertebrate predators
anthropogenic biodiversity
Trophic interactions
FOS: Biological sciences
Palmyra Atoll
Division of Environmental Biology
https://ror.org/03g87he71
1457371
National Geographic Society
https://ror.org/04bqh5m06
University of California, Santa Barbara
https://ror.org/02t274463
2021-10-20T00:00:00Z
2021-10-20T00:00:00Z
en
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA715709
https://doi.org/10.1002/ecy.3634
https://doi.org/10.5281/zenodo.5576593
15463115 bytes
7
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Predator-prey interactions shape ecosystem and can help maintain
biodiversity. However, for many of the earth’s most biodiverse and
abundant organisms, including terrestrial arthropods, these interactions
are difficult or impossible to observe directly with traditional
approaches. Based on previous theory, it is likely that predator-prey
interactions for these organisms are shaped by a combination of predator
traits, including body size and species-specific hunting strategies. In
this study, we combined diet DNA metabarcoding data of 173 individual
invertebrate predators from nine species (a total of 305 predator-prey
interactions) with an extensive community body size dataset of a
well-described invertebrate community to explore how predator traits and
identity shape interactions. We found that 1) mean size of prey families
in the field usually scaled with predator size, with species-specific
variation to a general size scaling relationship (exceptions likely
indicating scavenging or feeding on smaller life stages). We also found
that 2) although predator hunting traits, including web and venom use, are
thought to shape predator-prey interaction outcomes, predator identity
more strongly influenced our indirect measure of the relative size of
predators and prey (predator:prey size ratios) than either of these
hunting traits. Our findings indicate that predator body size and species
identity are important in shaping trophic interactions in invertebrate
food webs and could help predict how anthropogenic biodiversity change
will influence terrestrial invertebrates, the earth’s most diverse animal
taxonomic group.
Refer to the methods described in the README.txt and the associated
manuscript https://doi.org/10.1002/ecy.3634
data.zip includes all data output from sequence merging (via DADA2) and
outputs of intermediate cleaning and analysis steps. Raw sequencing data
can be found in the GenBank BioProject: PRJNA715709. The README.txt file
contains information on collection methods, contributors, and data table
column explanations. The dna_predators.zip file in Zenodo contains the
same README.txt file and the same data and code used to reproduce all
steps from sequence merging to final analyses. This folder also contains
an .Rproj (R Project) that enables efficient reproducibility of all
R-based analysis steps. Related dataset: Miller-ter Kuile, Ana et al.
(2022), Data from: Changes in Invertebrate Food Web Structure Between
High- and Low-productivity Environments are Driven by Intermediate but Not
Top Predator Diet Shifts, Dryad, Dataset, https://doi.org/10.25349/D9C334