Abstract

Human-driven threats are changing biodiversity, impacting ecosystem services. The loss of one species can trigger secondary extinctions of additional species, because species interact–yet the consequences of these secondary extinctions for services remain underexplored. Herein, we compare robustness of food webs and the ecosystem services (hereafter ‘services’) they provide; and investigate factors determining service responses to secondary extinctions. Simulating twelve extinction scenarios for estuarine food webs with seven services, we find that food web and service robustness are highly correlated, but that robustness varies across services depending on their trophic level and redundancy. Further, we find that species providing services do not play a critical role in stabilizing food webs – whereas species playing supporting roles in services through interactions are critical to the robustness of both food webs and services. Together, our results reveal indirect risks to services through secondary species losses and predictable differences in vulnerability across services.

Food web responses to species losses have the potential to cascade to ecosystem services. Here the authors apply ecological network robustness modelling to ecosystem services in salt marsh ecosystems, finding that species with supporting roles are critical to robustness of both food webs and ecosystem services.

Details

Title
An ecological network approach to predict ecosystem service vulnerability to species losses
Author
Keyes, Aislyn A 1   VIAFID ORCID Logo  ; McLaughlin, John P 2 ; Barner, Allison K 3 ; Dee, Laura E 1 

 University of Colorado, Department of Ecology and Evolutionary Biology, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564) 
 University of California, Depeartment of Ecology, Evolution, and Marine Biology, Santa Barbara, USA (GRID:grid.133342.4) (ISNI:0000 0004 1936 9676) 
 Colby College, Department of Biology, Waterville, USA (GRID:grid.254333.0) (ISNI:0000 0001 2296 8213) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2577913226
Copyright
© The Author(s) 2021. corrected publication 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.