The dimensionality of ecological networksInstitut Mediterrani d’Estudis Avanc¸ats (CSIC-UIB), Mallorca, Balearic Islands, Spain.
Instituto Argentino de Investigaciones de las Zonas Aridas, CONICET, Mendoza, Argentina.
Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
School of Biological Sciences, University of Canterbury, Canterbury, New Zealand.
Departamento de Ecologia, Universidade Estadual Paulista, Rio Claro, Brazil.
Departamento de Ecologia, I.B, Universidade de S~ao Paulo, Sao Paulo, Brazil.
Instituto Argentino de Investigaciones de las Zonas Aridas, CONICET, Mendoza, Argentina, Instituto de Ciencias Basicas, Universidad Nacional de Cuyo, Mendoza, Argentina .
Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Copenhagen, Denmark, Pacific Ecoinformatics and Computational Ecology Lab, Berkeley, CA, USA .
Departamento de Zoologia, Universidade Estadual Paulista, S~ao Paulo, Brazil.
Department of Physical Geography and Quaternary Geology, Stockholm University, Stockholm, Sweden.
CREAF – Ecology Unit, Universitat Autonoma de Barcelona, Barcelona, Spain.
School of Biological Sciences, University of Canterbury, Canterbury, New Zealand.
Instituto Argentino de Investigaciones de las Zonas Aridas, CONICET, Mendoza, Argentina, Instituto de Ciencias Basicas, Universidad Nacional de Cuyo, Mendoza, Argentina.
Department of Ecology & Evolution, University of Chicago, Chicago, IL,USA, Computation Institute, University of Chicago, Chicago, USA .
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2013 (English)In: Ecology Letters, ISSN 1461-023X, E-ISSN 1461-0248, Vol. 16, no 5, p. 577-583Article in journal (Refereed) Published
Abstract [en]
How many dimensions (trait-axes) are required to predict whether two species interact? This unansweredquestion originated with the idea of ecological niches, and yet bears relevance today for understanding whatdetermines network structure. Here, we analyse a set of 200 ecological networks, including food webs,antagonistic and mutualistic networks, and find that the number of dimensions needed to completelyexplain all interactions is small ( < 10), with model selection favouring less than five. Using 18 high-qualitywebs including several species traits, we identify which traits contribute the most to explaining networkstructure. We show that accounting for a few traits dramatically improves our understanding of the structureof ecological networks. Matching traits for resources and consumers, for example, fruit size and billgape, are the most successful combinations. These results link ecologically important species attributes tolarge-scale community structure.
Place, publisher, year, edition, pages
Blackwell Publishing, 2013. Vol. 16, no 5, p. 577-583
Keywords [en]
Ecological networks, food web structure, intervality, niche space, species traits, scaling.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-89672DOI: 10.1111/ele.12081ISI: 000318077200002OAI: oai:DiVA.org:liu-89672DiVA, id: diva2:608763
2013-03-012013-03-012017-04-20