Trophic groups and modules: Two levels of group detection in food webs

Journal of the Royal Society Interface

Volumn 12, Issue 106, 2015, Pages

  Gauzens, Benoit ^a,b   Thébault, Elisa ^a   Lacroix, Gérard ^a,c   Legendre, Stéphane ^d  

^a CNRS   (France)

^b UNIVERSITÉ DE RENNES 1   (France)

^c ÉCOLE NORMALE SUPÉRIEURE   (France)

^d PSL RESEARCH UNIVERSITY   (France)

Author keywords

Clustering method; Community detection; Food webs; Key species; Trophic groups

Indexed keywords

ALGORITHMS; COMPLEX NETWORKS; ECOLOGY; ECONOMIC AND SOCIAL EFFECTS;

CLUSTERING METHODS; COMMUNITY DETECTION; FOOD WEBS; KEY SPECIES; TROPHIC GROUP;

FUNCTIONAL FOOD;

ARTICLE; BEHAVIOR; BODY SIZE; CONCEPTUAL FRAMEWORK; ECOLOGY; FILTER FEEDER; FOOD CHAIN; FOOD WEB; PHYTOPLANKTON; SOCIAL NETWORK; SPECIES DISTRIBUTION; SPECIES DIVERSITY; TAXONOMY; TROPHIC LEVEL; ZOOPLANKTON; ALGORITHM; ANIMAL; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPUTER SIMULATION; ECOSYSTEM; HUMAN; PREDATION; PROCEDURES; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; ECOSYSTEM; FOOD CHAIN; HUMANS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PREDATORY BEHAVIOR;

EID: 84929497414     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2014.1176     Document Type: Article

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