Key taxa in food web responses to stressors: the Deepwater Horizon oil spill

Identifying key taxa in the response of ecosystems to perturbations relies on quantifying both their sensitivity to Stressors and their importance in the overall web of interactions. If sensitive taxa occupy key network positions, then they may decrease the capacity of ecosystems to resist perturbat...

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Veröffentlicht in:Frontiers in Ecology and the Environment. - Wiley Subscription Services, Inc.. - 15(2017), 3, Seite 142-149
1. Verfasser: McCann, Michael J (VerfasserIn)
Weitere Verfasser: Able, Kenneth W, Christian, Robert R, Fodrie, F Joel, Jensen, Olaf P, Johnson, Jessica J, López-Duarte, Paola C, Martin, Charles W, Olin, Jill A, Polito, Michael J, Roberts, Brian J, Ziegler, Shelby L
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:Frontiers in Ecology and the Environment
Schlagworte:Biological sciences Environmental studies Physical sciences Mathematics
Beschreibung
Zusammenfassung:Identifying key taxa in the response of ecosystems to perturbations relies on quantifying both their sensitivity to Stressors and their importance in the overall web of interactions. If sensitive taxa occupy key network positions, then they may decrease the capacity of ecosystems to resist perturbations. Despite widespread concern for coastal marshes after the 2010 Deepwater Horizon oil spill in the Gulf of Mexico, impacts on individual taxa were variable, and the effects on the overall marsh food web have not been assessed. Here, we synthesize published studies on trophic relationships and oil sensitivity to identify critical taxa in the response of marsh food webs to the oil spill. Taxa such as carnivorous marsh fishes are expected to enhance resilience, while gulls, terns, and omnivorous snails may destabilize the food web. Our framework for identifying key taxa can be applied to other environmental Stressors or ecosystems if both the sensitivity of individual taxa to a Stressor and the food web structure are known.
ISSN:15409309