Effects of model choice, network structure, and interaction strengths on knockout extinction models of ecological robustness

Bane, Miranda S.; Pocock, Michael J.O. ORCID: https://orcid.org/0000-0003-4375-0445; James, Richard. 2018 Effects of model choice, network structure, and interaction strengths on knockout extinction models of ecological robustness. Ecology and Evolution, 8 (22). 10794-10804. https://doi.org/10.1002/ece3.4529

Before downloading, please read NORA policies.

Preview

Text N521791JA.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (717kB) | Preview

Abstract/Summary

Analysis of ecological networks is a valuable approach to understanding the vulnerability of systems to disturbance. The tolerance of ecological networks to coextinctions, resulting from sequences of primary extinctions (here termed “knockout extinction models”, in contrast with other dynamic approaches), is a widely used tool for modeling network “robustness”. Currently, there is an emphasis to increase biological realism in these models, but less attention has been given to the effect of model choices and network structure on robustness measures. Here, we present a suite of knockout extinction models for bipartite ecological networks (specifically plant–pollinator networks) that can all be analyzed on the same terms, enabling us to test the effects of extinction rules, interaction weights, and network structure on robustness. We include two simple ecologically plausible models of propagating extinctions, one new and one adapted from existing models. All models can be used with weighted or binary interaction data. We found that the choice of extinction rules impacts robustness; our two propagating models produce opposing effects in all tests on observed plant–pollinator networks. Adding weights to the interactions tends to amplify the opposing effects and increase the variation in robustness. Variation in robustness is a key feature of these extinction models and is driven by the structural heterogeneity of nodes (specifically, the skewness of the plant degree distribution) in the network. Our analysis therefore reveals the mechanisms and fundamental network properties that drive observed trends in robustness.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1002/ece3.4529
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-)
ISSN:	2045-7758
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	coextinction, ecological interactions, extinction models, mutualistic network, network, plant–pollinator communities, pollinators, robustness
NORA Subject Terms:	Ecology and Environment
Date made live:	04 Dec 2018 14:59 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/521791

Actions (login required)

View Item

Document Downloads

More statistics for this item...