Literature DB >> 24249118

Habitat-based constraints on food web structure and parasite life cycles.

Wayne Rossiter1, Michael V K Sukhdeo.   

Abstract

Habitat is frequently implicated as a powerful determinant of community structure and species distributions, but few studies explicitly evaluate the relationship between habitat-based patterns of species' distributions and the presence or absence of trophic interactions. The complex (multi-host) life cycles of parasites are directly affected by these factors, but almost no data exist on the role of habitat in constraining parasite-host interactions at the community level. In this study the relationship(s) between species abundances, distributions and trophic interactions (including parasitism) were evaluated in the context of habitat structure (classic geomorphic designations of pools, riffles and runs) in a riverine community (Raritan River, Hunterdon County, NJ, USA). We report 121 taxa collected over a 2-year period, and compare the observed food web patterns to null model expectations. The results show that top predators are constrained to particular habitat types, and that species' distributions are biased towards pool habitats. However, our null model (which incorporates cascade model assumptions) accurately predicts the observed patterns of trophic interactions. Thus, habitat strongly dictates species distributions, and patterns of trophic interactions arise as a consequence of these distributions. Additionally, we find that hosts utilized in parasite life cycles are more overlapping in their distributions, and this pattern is more pronounced among those involved in trophic transmission. We conclude that habitat structure may be a strong predictor of parasite transmission routes, particularly within communities that occupy heterogeneous habitats.

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Mesh:

Year:  2013        PMID: 24249118     DOI: 10.1007/s00442-013-2835-0

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  24 in total

1.  Evolution of complex life cycles in helminth parasites.

Authors:  Geoff A Parker; Jimmy C Chubb; Michael A Ball; Guy N Roberts
Journal:  Nature       Date:  2003-10-02       Impact factor: 49.962

Review 2.  Food webs and the transmission of parasites to marine fish.

Authors:  D J Marcogliese
Journal:  Parasitology       Date:  2002       Impact factor: 3.234

3.  Origin of compartmentalization in food webs.

Authors:  R Guimerà; D B Stouffer; M Sales-Pardo; E A Leicht; M E J Newman; L A N Amaral
Journal:  Ecology       Date:  2010-10       Impact factor: 5.499

4.  Null model analysis of species associations using abundance data.

Authors:  Werner Ulrich; Nicholas J Gotelli
Journal:  Ecology       Date:  2010-11       Impact factor: 5.499

5.  Host diversity begets parasite diversity: bird final hosts and trematodes in snail intermediate hosts.

Authors:  Ryan F Hechinger; Kevin D Lafferty
Journal:  Proc Biol Sci       Date:  2005-05-22       Impact factor: 5.349

Review 6.  The role of biotic factors in the transmission of free-living endohelminth stages.

Authors:  D W Thieltges; K T Jensen; R Poulin
Journal:  Parasitology       Date:  2008-01-22       Impact factor: 3.234

7.  Compartments in a marine food web associated with phylogeny, body mass, and habitat structure.

Authors:  Enrico L Rezende; Eva M Albert; Miguel A Fortuna; Jordi Bascompte
Journal:  Ecol Lett       Date:  2009-05-21       Impact factor: 9.492

8.  Vulnerability and diet breadth predict larval and adult parasite diversity in fish of the Bothnian Bay.

Authors:  Sean A Locke; David J Marcogliese; E Tellervo Valtonen
Journal:  Oecologia       Date:  2013-09-12       Impact factor: 3.225

9.  Body size and food web structure: testing the equiprobability assumption of the cascade model.

Authors:  M G Neubert; S C Blumenshine; D E Duplisea; T Jonsson; B Rashleigh
Journal:  Oecologia       Date:  2000-05       Impact factor: 3.225

10.  Locating suitable habitats for West Nile Virus-infected mosquitoes through association of environmental characteristics with infected mosquito locations: a case study in Shelby County, Tennessee.

Authors:  Esra Ozdenerol; Elzbieta Bialkowska-Jelinska; Gregory N Taff
Journal:  Int J Health Geogr       Date:  2008-03-29       Impact factor: 3.918

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