Literature DB >> 18445027

A landscape theory for food web architecture.

Neil Rooney1, Kevin S McCann, John C Moore.   

Abstract

Ecologists have long searched for structures and processes that impart stability in nature. In particular, food web ecology has held promise in tackling this issue. Empirical patterns in food webs have consistently shown that the distributions of species and interactions in nature are more likely to be stable than randomly constructed systems with the same number of species and interactions. Food web ecology still faces two fundamental challenges, however. First, the quantity and quality of food web data required to document both the species richness and the interaction strengths among all species within food webs is largely prohibitive. Second, where food webs have been well documented, spatial and temporal variation in food web structure has been ignored. Conversely, research that has addressed spatial and temporal variation in ecosystems has generally ignored the full complexity of food web architecture. Here, we incorporate empirical patterns, largely from macroecology and behavioural ecology, into a spatially implicit food web structure to construct a simple landscape theory of food web architecture. Such an approach both captures important architectural features of food webs and allows for an exploration of food web structure across a range of spatial scales. Finally, we demonstrated that food webs are hierarchically organized along the spatial and temporal niche axes of species and their utilization of food resources in ways that stabilize ecosystems.

Mesh:

Year:  2008        PMID: 18445027     DOI: 10.1111/j.1461-0248.2008.01193.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  28 in total

1.  Metacommunity theory explains the emergence of food web complexity.

Authors:  Pradeep Pillai; Andrew Gonzalez; Michel Loreau
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-14       Impact factor: 11.205

Review 2.  The more food webs change, the more they stay the same.

Authors:  Kevin Shear McCann; Neil Rooney
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-27       Impact factor: 6.237

3.  The assembly, collapse and restoration of food webs.

Authors:  Andy Dobson; Stefano Allesina; Kevin Lafferty; Mercedes Pascual
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-27       Impact factor: 6.237

Review 4.  Food-web structure and ecosystem services: insights from the Serengeti.

Authors:  Andy Dobson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-27       Impact factor: 6.237

5.  Warming shifts top-down and bottom-up control of pond food web structure and function.

Authors:  Jonathan B Shurin; Jessica L Clasen; Hamish S Greig; Pavel Kratina; Patrick L Thompson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-11-05       Impact factor: 6.237

6.  Climate change in metacommunities: dispersal gives double-sided effects on persistence.

Authors:  Anna Eklöf; Linda Kaneryd; Peter Münger
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-11-05       Impact factor: 6.237

7.  Food web expansion and contraction in response to changing environmental conditions.

Authors:  Tyler D Tunney; Kevin S McCann; Nigel P Lester; Brian J Shuter
Journal:  Nat Commun       Date:  2012       Impact factor: 14.919

8.  Food web complexity and stability across habitat connectivity gradients.

Authors:  Robin M LeCraw; Pavel Kratina; Diane S Srivastava
Journal:  Oecologia       Date:  2014-09-17       Impact factor: 3.225

9.  Meta-ecosystem dynamics and functioning on finite spatial networks.

Authors:  Justin N Marleau; Frédéric Guichard; Michel Loreau
Journal:  Proc Biol Sci       Date:  2014-01-08       Impact factor: 5.349

10.  Body size drives allochthony in food webs of tropical rivers.

Authors:  Timothy D Jardine; Thomas S Rayner; Neil E Pettit; Dominic Valdez; Douglas P Ward; Garry Lindner; Michael M Douglas; Stuart E Bunn
Journal:  Oecologia       Date:  2016-11-28       Impact factor: 3.225

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