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How habitat-modifying organisms structure the food web of two coastal ecosystems

Authors :
van der Zee, Els M.
Angelini, Christine
Govers, Laura L.
Christianen, Marjolijn J.A.
Altieri, Andrew H.
van der Reijden, Karin J.
Silliman, Brian R.
van de Koppel, Johan
van der Geest, Matthijs
van Gils, Jan A.
van der Veer, Henk W.
Piersma, Theunis
de Ruiter, Peter C.
Olff, Han
van der Heide, Tjisse
van der Zee, Els M.
Angelini, Christine
Govers, Laura L.
Christianen, Marjolijn J.A.
Altieri, Andrew H.
van der Reijden, Karin J.
Silliman, Brian R.
van de Koppel, Johan
van der Geest, Matthijs
van Gils, Jan A.
van der Veer, Henk W.
Piersma, Theunis
de Ruiter, Peter C.
Olff, Han
van der Heide, Tjisse
Source :
ISSN: 0962-8452
Publication Year :
2016

Abstract

The diversity and structure of ecosystems has been found to depend both on trophic interactions in food webs and on other species interactions such as habitat modification and mutualism that form non-trophic interaction networks. However, quantification of the dependencies between these two main interaction networks has remained elusive. In this study, we assessed how habitat-modifying organisms affect basic food web properties by conducting in-depth empirical investigations of two ecosystems: North American temperate fringing marshes and West African tropical seagrass meadows. Results reveal that habitat-modifying species, through non-trophic facilitation rather than their trophic role, enhance species richness across multiple trophic levels, increase the number of interactions per species (link density), but decrease the realized fraction of all possible links within the food web (connectance). Compared to the trophic role of the most highly connected species, we found this non-trophic effects to be more important for species richness and of more or similar importance for link density and connectance. Our findings demonstrate that food webs can be fundamentally shaped by interactions outside the trophic network, yet intrinsic to the species participating in it. Better integration of non-trophic interactions in food web analyses may therefore strongly contribute to their explanatory and predictive capacity.

Details

Database :
OAIster
Journal :
ISSN: 0962-8452
Notes :
application/pdf, Proceedings of the Royal Society B: Biological Sciences 283 (2016) 1826, ISSN: 0962-8452, ISSN: 0962-8452, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1200326980
Document Type :
Electronic Resource