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Non-random food-web assembly at habitat edges increases connectivity and functional redundancy.
Peralta, Guadalupe; Frost, Carol M; Didham, Raphael K; Rand, Tatyana A; Tylianakis, Jason M.
Afiliação
  • Peralta G; School of Biological Sciences, University of Canterbury, Christchurch, 8140, New Zealand.
  • Frost CM; las Zonas Áridas, CONICET, CC 507, 5500, Mendoza, Argentina.
  • Didham RK; School of Biological Sciences, University of Canterbury, Christchurch, 8140, New Zealand.
  • Rand TA; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd, Umeå, Sweden.
  • Tylianakis JM; School of Animal Biology, The University of Western Australia, Crawley, Western Australia, 6009, Australia.
Ecology ; 98(4): 995-1005, 2017 Apr.
Article em En | MEDLINE | ID: mdl-27859031
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Cadeia Alimentar Tipo de estudo: Clinical_trials Idioma: En Revista: Ecology Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Nova Zelândia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Cadeia Alimentar Tipo de estudo: Clinical_trials Idioma: En Revista: Ecology Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Nova Zelândia