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foodweb_little_rock — Little Rock Lake food web (1991)

Description

The food web of Little Rock Lake, Wisconsin (USA), a highly resolved food web first published by Martinez (1991), in which most taxa are resolved to the genus or species level. The data were obtained from the network collection of the Ma'ayan Laboratory (Mount Sinai School of Medicine), which distributed them in its SIG flat file format, with the taxa identified only by numbers (0 to 182). Taxon names and groups were assigned manually from the numbering of the taxa in the original publication.

Nodes are taxa (autotrophs, herbivores, carnivores and decomposers, as well as fine organic matter), and a directed edge points from a food source to its consumer. Taxon 0 has no counterpart in the publication's list of taxa: it has no incoming edges and points to all the algae and cyanobacteria, to fine organic matter, fish eggs and two insect taxa, so that it acts as a common source of the basal taxa; its meaning is not documented. Self-loops denote cannibalism.

The network has the following properties:

  • (Node) taxon: the taxon number in the source file.
  • (Node) name: the name of the taxon ("?" for taxon 0).
  • (Node) group: the taxonomic or functional group of the taxon (its name, if it belongs to no group).
Tags
Biological Food web Unweighted Metadata
Added
2020-08-11
Citation
  • N. D. Martinez, "Artifacts or attributes? Effects of resolution on the Little Rock Lake food web." Ecological Monographs 61(4), 367-392 (1991) 10.2307/2937047 Sci-Hub
Upstream URL OK
https://web.archive.org/web/20180916202441/http://research.mssm.edu/maayan/datasets/qualitative_networks.shtml
Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
foodweb_little_rock 183 2,494 13.63 21.73 40.62 4.39 -0.24 0.35 4 1.00 Directed Unipartite name group 6 KiB 14 KiB 14 KiB 12 KiB
Ridiculograms*
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.