Non-random food-web assembly at habitat edges increases connectivity and functional redundancy
File(s)ecy1656.pdf (185.27 KB)
Accepted version
Author(s)
Peralta, G
Frost, CM
Didham, RK
Rand, TA
Tylianakis, JM
Type
Journal Article
Abstract
Habitat fragmentation dramatically alters the spatial configuration of landscapes, with the creation of artificial edges affecting community structure and dynamics. Despite this, it is not known how the different food webs in adjacent habitats assemble at their boundaries. Here we demonstrate that the composition and structure of herbivore-parasitoid food webs across edges between native and plantation forests are not randomly assembled from those of the adjacent communities. Rather, elevated proportions of abundant, interaction-generalist parasitoid species at habitat edges allowed considerable interaction rewiring, which led to higher linkage density and less modular networks, with higher parasitoid functional redundancy. This was despite high overlap in host composition between edges and interiors. We also provide testable hypotheses for how food webs may assemble between habitats with lower species overlap. In an increasingly fragmented world, non-random assembly of food webs at edges may increasingly affect community dynamics at the landscape level.
Date Issued
2017-03-08
Date Acceptance
2016-10-28
Citation
ECOLOGY, 2017, 98 (4), pp.995-1005
ISSN
0012-9658
Publisher
WILEY
Start Page
995
End Page
1005
Journal / Book Title
ECOLOGY
Volume
98
Issue
4
Copyright Statement
© 2016 Ecological Society of America
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000398175200012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
edge effects
food-web structure
generalism
host
native forest
network dissimilarity
parasitoid
plantation forest
rewiring of interactions
species composition
Ecology
0501 Ecological Applications
0602 Ecology
Publication Status
Published
Coverage Spatial
United States