10.5061/DRYAD.CV8CR
Vesterinen, Eero J.
University of Turku
Wirta, Helena K.
University of Helsinki
Hambäck, Peter A.
Stockholm University
Weingartner, Elisabeth
Stockholm University
Rasmussen, Claus
Aarhus University
Reneerkens, Jeroen
Aarhus University
University of Groningen
Schmidt, Niels M.
Aarhus University
Gilg, Olivier
University of Helsinki
Roslin, Tomas
University of Helsinki
Data from: Exposing the structure of an Arctic food web
Dryad
dataset
2016
Xysticus deichmanni
Xysticus labradorensis
Eulophidae
Calidris alba
Plectrophenax nivalis
Erigone arctica
molecular diet analysis
generalism
specialism
Emblyna borealis
Calidris alpina
Tachinidae
Ichneumonidae
Braconidae
Holocene
Pardosa glacialis
2016-08-12T00:00:00Z
2016-08-12T00:00:00Z
en
https://doi.org/10.1002/ece3.1647
3048758413 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
How food webs are structured has major implications for their stability
and dynamics. While poorly studied to date, arctic food webs are commonly
assumed to be simple in structure, with few links per species. If this is
the case, then different parts of the web may be weakly connected to each
other, with populations and species united by only a low number of links.
We provide the first highly resolved description of trophic link structure
for a large part of a high-arctic food web. For this purpose, we apply a
combination of recent techniques to describing the links between three
predator guilds (insectivorous birds, spiders, and lepidopteran
parasitoids) and their two dominant prey orders (Diptera and Lepidoptera).
The resultant web shows a dense link structure and no compartmentalization
or modularity across the three predator guilds. Thus, both individual
predators and predator guilds tap heavily into the prey community of each
other, offering versatile scope for indirect interactions across different
parts of the web. The current description of a first but single arctic web
may serve as a benchmark toward which to gauge future webs resolved by
similar techniques. Targeting an unusual breadth of predator guilds, and
relying on techniques with a high resolution, it suggests that species in
this web are closely connected. Thus, our findings call for similar
explorations of link structure across multiple guilds in both arctic and
other webs. From an applied perspective, our description of an arctic web
suggests new avenues for understanding how arctic food webs are built and
function and of how they respond to current climate change. It suggests
that to comprehend the community-level consequences of rapid arctic
warming, we should turn from analyses of populations, population pairs,
and isolated predator–prey interactions to considering the full set of
interacting species.
Raw labeled reads from faecal samples of Calidris alpina, C. alba and
Plectrophenax nivalisCollected while handling the birds or from the field
while observing the birds. DNA extracted from individual pellets using
Zymo Research Faecal Mini Kit. Sequenced using Ion Torrent PGM. FASTQ file
header stands for:
@READNUMBER;barcodelabel=SAMPLEID_COLLECTIONLOCALITY_DAY-MONTH-YEAR_BIRDSPECIES_BIRDAGE.labeled_reads_birds.fastqRaw labeled reads from samples of Pardosa glacialis, Xysticus deichmanni, X. labradorensis, Erigone arctica, and Emblyna borealisCollected from the field. DNA extracted from half individuals using Qiagen Animla Tissue Kit. Sequenced using Ion Torrent PGM. FASTQ file header stands for: @READNUMBER;barcodelabel=SAMPLEID. SampleID: Xd =labeled_reads_spiders.fastqOTU sequencesClustered to OTUs using USEARCH algorithm with default (97%) similarity. This way there is a little bit of oversplitting, and OTUs belonging to same biological species are clustered subsequently.label_otus.faReadmap linking trimmed reads and samplesThe readmap shows read count for each sample. The readmap is constructed using USEARCH software.readmap.tabTechnical data sheet for IonTorrent PGM runsThe data generated by Ion Torrent PGM for each run in the study.IonTorrent_Data_Sheet.pdfCommand pipeline used for bioinformaticsThe file contains all the commandds used in this study to generate the final data. The bioinformatics was carried out at servers on CSC - IT Center for SCience in Finland .Arctic_FoobWeb_commands_unix_csc.shThe final readmapThis readmap contains the final read counts for each sample. The difference to raw readmap is that some OTU's in this version have been clumped together. The information in this sheet was used as presense/absence data in the study.Readmap_final.xlsxQ20 reads from Spider samples for Spider data2Collected from the field. DNA extracted from half individuals. Sequenced using 454 pyrosequencing.Spider2_data.fasOTU sequences for Spider data2Clustered to OTUs using USEARCH algorithm with default (97%) similarity. This way there is a little bit of oversplitting, and OTUs belonging to same biological species are clustered subsequently.Spider2_label_otus.faReadmap linking trimmed reads and samples for Spider data2The readmap shows read count for each sample. The readmap is constructed using USEARCH software.Spider2_readmap.tabCommand pipeline used for bioinformatics for Spider data2The file contains all the commands used in this study to generate the final data. The bioinformatics was carried out at servers on CSC - IT Center for SCience in Finland .Spider2_commands_unix_csc.sh
Northeast Greenland National Park
Zackenberg Valley
Greenland