Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29803
Title: Consistent predator-prey biomass scaling in complex food webs
Authors: Perkins, DM
Hatton, IA
Gauzens, B
Barnes, AD
Ott, D
Rosenbaum, B
Vinagre, C
Brose, U
Keywords: ecological networks;macroecology
Issue Date: 25-Aug-2022
Publisher: Nature Research (part of Springer Nature)
Citation: Perkins, D.M. et al. (2022) 'Consistent predator-prey biomass scaling in complex food webs', Nature Communications, 13 (1), 4990, pp. 1 - 8. doi: 10.1038/s41467-022-32578-5.
Abstract: The ratio of predator-to-prey biomass is a key element of trophic structure that is typically investigated from a food chain perspective, ignoring channels of energy transfer (e.g. omnivory) that may govern community structure. Here, we address this shortcoming by characterising the biomass structure of 141 freshwater, marine and terrestrial food webs, spanning a broad gradient in community biomass. We test whether sub-linear scaling between predator and prey biomass (a potential signal of density-dependent processes) emerges within ecosystem types and across levels of biological organisation. We find a consistent, sub-linear scaling pattern whereby predator biomass scales with the total biomass of their prey with a near ¾-power exponent within food webs - i.e. more prey biomass supports proportionally less predator biomass. Across food webs, a similar sub-linear scaling pattern emerges between total predator biomass and the combined biomass of all prey within a food web. These general patterns in trophic structure are compatible with a systematic form of density dependence that holds among complex feeding interactions across levels of organization, irrespective of ecosystem type.
Description: Data availability: Data was obtained from a global database of traits and food-web architecture (GATEWAy v.1.0; https://idata.idiv.de/ddm/Data/ShowData/283?version=3). Processed data are available at https://figshare.com/s/49f09c604b5be6df7838.
Code availability: The accompanying analysis R code is available at https://figshare.com/s/49f09c604b5be6df7838.
URI: https://bura.brunel.ac.uk/handle/2438/29803
DOI: https://doi.org/10.1038/s41467-022-32578-5
Other Identifiers: ORCiD: Daniel M. Perkins https://orcid.org/0000-0003-0866-4816
ORCiD: Benoit Gauzens https://orcid.org/0000-0001-7748-0362
ORCiD: Andrew D. Barnes https://orcid.org/0000-0002-6499-381X
ORCiD: Benjamin Rosenbaum https://orcid.org/0000-0002-2815-0874
ORCiD: Ulrich Brose https://orcid.org/0000-0001-9156-583X
4990
Appears in Collections:Dept of Life Sciences Research Papers

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