The dimensionality of ecological networks

Ecology Letters - Tập 16 Số 5 - Trang 577-583 - 2013
Anna Eklöf1, Ute Jacob2, Jason C. Kopp1, Jordi Bosch3, Rocío Castro‐Urgal4, Natacha P. Chacoff5, Bo Dalsgaard6, Claudio de Sassi7, Mauro Galetti8, Paulo R. Guimarães9, Silvia B. Lomáscolo5,10, Ana M. Martín González6,11, Marco A. Pizo12, Romina Rader13, Anselm Rodrigo3, Jason M. Tylianakis7, Diego P. Vázquez5,10, Stefano Allesina14,1
1Department of Ecology & Evolution, University of Chicago, Chicago, IL, USA
2Institute for Hydrobiology and Fisheries Science, Hamburg, Germany
3CREAF – Ecology Unit Universitat Autónoma de Barcelona Barcelona Spain
4Institut Mediterrani d'Estudis Avanc¸ats (CSIC‐UIB) Mallorca, Balearic Islands Spain
5Instituto Argentino de Investigaciones de las Zonas Áridas, CONICET, Mendoza, Argentina
6Center for Macroecology, Evolution and Climate, Department of Biology, University of Copenhagen, Copenhagen, Denmark
7School of Biological Sciences, University of Canterbury, Canterbury, New Zealand
8Departamento de Ecologia, Universidade Estadual Paulista, Rio Claro, Brazil
9Departamento de Ecologia I.B Universidade de São Paulo Sao Paulo Brazil
10Instituto de Ciencias Básicas, Universidad Nacional de Cuyo, Mendoza, Argentina
11Pacific Ecoinformatics and Computational Ecology Lab, Berkeley, CA, USA
12Departamento de Zoologia Universidade Estadual Paulista São Paulo Brazil
13Department of Physical Geography and Quaternary Geology, Stockholm University, Stockholm, Sweden
14Computation Institute, University of Chicago, Chicago, USA

Tóm tắt

AbstractHow many dimensions (trait‐axes) are required to predict whether two species interact? This unanswered question originated with the idea of ecological niches, and yet bears relevance today for understanding what determines 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 completely explain all interactions is small ( < 10), with model selection favouring less than five. Using 18 high‐quality webs including several species traits, we identify which traits contribute the most to explaining network structure. We show that accounting for a few traits dramatically improves our understanding of the structure of ecological networks. Matching traits for resources and consumers, for example, fruit size and bill gape, are the most successful combinations. These results link ecologically important species attributes to large‐scale community structure.

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Ecology Letters

Tập 16 Số 5

577-583

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