2014
DOI: 10.1111/ele.12245
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Ecological, historical and evolutionary determinants of modularity in weighted seed‐dispersal networks

Abstract: Modularity is a recurrent and important property of bipartite ecological networks. Although well-resolved ecological networks describe interaction frequencies between species pairs, modularity of bipartite networks has been analysed only on the basis of binary presence-absence data. We employ a new algorithm to detect modularity in weighted bipartite networks in a global analysis of avian seed-dispersal networks. We define roles of species, such as connector values, for weighted and binary networks and associa… Show more

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Cited by 165 publications
(264 citation statements)
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“…Most interestingly for our study, we found a strong consistent negative association between TS and SRS (figure 2) and, when accounting for the indirect effects of climate on specialization via SRS, a direct positive association of TS on specialization appeared (figure 2b). A similar positive association between modularity and TS has been documented for frugivorous bird-plant networks [49], which was argued to derive from a higher annual turnover in species composition and interactions in more seasonal environments. The combined effects of topography and climate seasonality on SRS (figure 2), together with the much stronger effect of SRS on specialization than vice versa (b ¼ 0.75 versus b ¼ 0.43), is in accordance with the hypothesis that climate stability may increase specialization through reduced annual species range dynamics [30,69], facilitating adaptation to local foraging niches.…”
Section: Discussionsupporting
confidence: 66%
“…Most interestingly for our study, we found a strong consistent negative association between TS and SRS (figure 2) and, when accounting for the indirect effects of climate on specialization via SRS, a direct positive association of TS on specialization appeared (figure 2b). A similar positive association between modularity and TS has been documented for frugivorous bird-plant networks [49], which was argued to derive from a higher annual turnover in species composition and interactions in more seasonal environments. The combined effects of topography and climate seasonality on SRS (figure 2), together with the much stronger effect of SRS on specialization than vice versa (b ¼ 0.75 versus b ¼ 0.43), is in accordance with the hypothesis that climate stability may increase specialization through reduced annual species range dynamics [30,69], facilitating adaptation to local foraging niches.…”
Section: Discussionsupporting
confidence: 66%
“…Many animal species consume similar resources, yet variation in morphology, physiology or behaviour can result in profound differences in ecological interactions [5][6][7]. Our analysis revealed high levels of generalization in seed dispersal networks mediated by fish, birds and mammals.…”
Section: Discussionmentioning
confidence: 80%
“…Species with certain morphologies (i.e. combinations of species traits) from one trophic level interact with species of corresponding morphologies from the other trophic level, leading to a compartmentalization of the interaction networks (modularity) [43,44], and also of the trait spaces of the interacting species groups. The congruency in the trait spaces also corroborates the finding that trait matching in individual interactions leads to covariation in the functional diversity of interacting species groups on large spatial scales [5].…”
Section: (E) Relationship Between Morphological and Functional Speciamentioning
confidence: 99%