Published August 16, 2020 | Version v1
Dataset Open

Data supporting Food web complexity weakens size-based constraints on the pyramids of life

Authors/Creators

  • 1. University of Georgia

Description

Marine ecosystems are generally expected to have bottom-heavy trophic structure (more plants than animals) due to size-based constraints arising from increased metabolic requirements and inefficient energy transfer. However, size-based (allometric) approaches are often limited to confined trophic level windows where energy transfer is predicted by size alone, and are constrained to bottom-up control at steady state. In real food webs, energy flow is more complex and top-down processes can also shape trophic structure. We expand size-based theory to account for complex food webs, and show that moderate levels of food web connectance allow for inverted trophic structure more often than predicted, especially in marine ecosystems. Trophic structure inversion occurs due to incorporation of complex energy pathways and top-down effects on ecosystems. Our results suggest that marine ecosystems should be top-heavy, and observed bottom-heavy trophic structure may be a result of human defaunation of the ocean that has been more extreme than presently recognized.

Notes

These data are the output of a static ecosystem model. Model code is available at https://github.com/cbrockw/ecosystem_structure

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: 1536618

Files

Connectance_Freshwater.csv

Files (2.8 GB)

Name Size Download all
md5:dfe9bd1d84aba505dc738945f74bf235
1.8 kB Preview Download
md5:866a18f9b2faf4e92dd4b11318f26ddb
2.3 kB Preview Download
md5:ecedda55a957267b548cb9405e580d07
1.8 kB Preview Download
md5:66d3e9840b91e5c530b899a3c5a59fe3
196.0 MB Download
md5:28233761aa29a8439abb5717ba425103
324.0 MB Download
md5:1f08bbcf7e613ecbcb5bf5ceffe3f354
484.0 MB Download
md5:4d5c35788dd5e0a3a960aafa3dfc5bf5
676.0 MB Download
md5:fa7e9209ab3c375110f6ef4bef0aa627
1.2 GB Download